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TRANSPAN special issue in “Seminars on Cancer Biology”

VSI Transpan – YSCBI

This thematic issue will benefit from the experience of well-known experts in the field of pancreatic cancer research. The pool of corresponding authors is multidisciplinary and covers all spectrum of the most relevant aspects of this disease. We have critical expertise in surgery, oncology, gastroenterology, pharmacology, genetics, epidemiology, Information technology, molecular biology, pathology.

Guest Editor: Dr. Luca Morelli

https://www.sciencedirect.com/special-issue/10T075Z5XK9

Publications related to TRANSPAN special issue in “Seminars on Cancer Biology”

Publications related to TRANSPAN special issue in "Seminars on Cancer Biology" - Year 2025
Therapeutic pancreatic cancer biomarkers and pharmacogenetics

Ales Langer a, Pavel Soucek b c, Veronika Vymetalkova c d, Cosmeri Rizzato e, Stefania Bunduc f g, Ilias P. Nikas h, Viktor Hlavac b c, Michal Kroupa d, Riccardo Farinella e, Daniele Campa e, Beatrice Mohelnikova-Duchonova i

a) Faculty of Medicine and Dentristry, Palacky University Olomouc, Olomouc, Czech Republic
b) Department of Toxicogenomics, National Institute of Public Health, Prague, Czech Republic
c) Biomedical Center, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic
d) Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic
e)Department of Biology, University of Pisa, Pisa, Italy
f) Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
g) Digestive Disease and Liver Transplant Center, Fundeni Clinical Institute, Bucharest, Romania
h) Medical School, University of Cyprus, Nicosia, Cyprus
i) Department of Oncology, Olomouc University Hospital, Olomouc, Czech Republic

FOLFIRINOX and gemcitabine plus nab-paclitaxel represent the most effective chemotherapy regimens for metastatic pancreatic cancer patients nowadays, but the median overall survival remains less than one year. Pharmacogenomics and the individualization of therapy represent a promising strategy, including identifying patients at increased risk of toxicity. This review summarizes contemporary knowledge about genetic variability and putative biomarkers with published associations to therapy responses of pancreatic cancer not only for gold standard treatment regimens (FOLFIRINOX, gemcitabine/nab-paclitaxel and nal-IRI/5-fluorouracil) but also for other therapeutic options regarding targeted therapy and immunotherapy. From the published data reviewed, it is evident that the problem is highly complex, and the ultimate profile of the drug-sensitive or resistant patient, followed by individualized therapy, is the most probable way to improve the poor prognosis of pancreatic cancer patients. Additionally, we will give a brief recap of what has been learned from genome-wide association studies, from gene candidate studies carried out in the context of large consortia such as the Pancreatic Disease Research (PANDoRA) consortium, and from studies focused on specific mutations in DNA repair genes.

Pancreatic ductal adenocarcinoma (PDAC) is one of the most common causes of cancer mortality, with increasing incidence each year in Europe and Northern America [1]. Although early localized tumors are considered potentially curable through surgical intervention, systemic oncological therapy remains the cornerstone of treatment for all stages of the disease [2]. Among the modalities of systemic treatment, nucleoside analogue-based chemotherapy is nowadays the only option for most PDAC patients. In recent years several targeted agents have enlarged the therapeutic armamentarium in specific subgroups of patients with metastatic pancreatic cancer (mPDAC) [2].
Since 1990 when gemcitabine monotherapy became the standard of care, many cytotoxic or targeted drugs either alone or in combination with gemcitabine were tested in clinical trials, but failed in the case of mPDAC patients [3], [4] until 2013, when adding nanoparticle albumin-bound paclitaxel (nab-paclitaxel) to combination with gemcitabine finally improved the overall survival in the MPACT trial [5]. Finally, the combination of oxaliplatin, irinotecan, 5-fluorouracil, and folinic acid (FOLFIRINOX) demonstrated superiority over gemcitabine monotherapy in 2011 [6].
The biggest limitation of systemic pancreatic cancer therapy is its high chemoresistance especially considering that the response rate (RR) does not exceed 40 %, even in combined regimens (Table 1). Chemoresistance is a universal phenomenon in cancer patients, leading to therapy failure, shortening of survival, and deterioration of the quality of life. It reflects the nature of tumor cells and their microenvironment and can be present from the beginning of the treatment (primary or per se resistance) or induced by repeated administration of anticancer drugs (secondary resistance) [7]. Recent studies indicate that resistance involves a complex process comprising dysregulated pathways and cellular events, collectively termed resistance hallmarks [8]. These processes are believed to be predictable by analyzing underlying molecular signatures (biomarkers). Biomarkers can be either causative and targetable or correlative, i.e., just informing about the risk of resistance. Their integration into clinical decisions should improve the individualized therapy concept.
The most important of these hallmarks are metabolic inactivation and efflux of drugs or their active metabolites from tumor cells, prolific DNA repair, inefficient or delayed programmed cell death, and metabolic reprogramming. Specifically, in PDAC, chemoresistance is considered a major barrier to successful therapeutic outcomes for patients. Additionally, the tumor microenvironment, namely the high desmoplastic stroma content, contributes to the reduced bioavailability of drugs and their lower efficacy in PDAC [9]. The role of mitochondrial dynamics, cancer stem cells, the regulatory potential of non-coding RNAs or more general epigenomics, and immunosuppression are currently appreciated too. The discipline is intricate and rapidly evolving, and we will address all these aspects in individual parts of this review article.

CRISPR/Cas9 genome engineering in PDAC: From preclinical studies to translation and clinical research.

Yanxi Lua, Jojanneke Stoofb, Yaba Rosette Tanoéc, Naomi Walshb, Maarten F. Bijlsmad,e, Huijun Leif, Tianhui Chenf, Jelena Grahovacg, Robert Grützmanna, Christian Pilarskya,*

a Department of Surgery, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen 91054, Germany

b Dublin City University, School of Biotechnology, Dublin, Ireland

c Faculty of sciences, Friedrich-Alexander-Universität Erlangen Nürnberg, Erlangen 91054, Germany

d Amsterdam UMC location University of Amsterdam, Center for Experimental and Molecular Medicine, Laboratory for Experimental Oncology and Radiobiology, Meibergdreef 9, Amsterdam, the Netherlands

e Cancer Center Amsterdam, Cancer Biology, Amsterdam, the Netherlands

f Department of Cancer Prevention, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou 310022, China

g Experimental Oncology Department, Institute for Oncology and Radiology of Serbia, Belgrade, Serbia

* Corresponding author.

Abstract

CRISPR/Cas9 technology has emerged as a powerful tool in pancreatic ductal adenocarcinoma cancer (PDAC) research, facilitating the study of genes involved in cell signaling pathways, proliferation, migration, invasion, and chemotherapy resistance. In this review, we discuss the evolution of CRISPR technologies from sophisticated editing techniques to broad screening methods, examine the utility of isogenic models and genetically engineered mouse models (GEMMs). We also explore how CRISPR/Cas9 screens can reveal immune-tumor cell interactions, highlighting the multifaceted role of this technology in PDAC research. Moreover, we emphasize the use of CRISPR technology in diagnostics for CAR-T cell therapies, where CRISPR/Cas9 enhances the precision of targeting malignant cells while minimizing off-tumor effects.

Keywords

CRISPR/Cas9 Genome Engineering; Pancreatic Ductal Adenocarcinoma; GEMMs; Preclinical studies

Navigating the paradox of senescence and chemoresistance in pancreatic cancer

Amal Jeiroshia,b,1, Juan Dengb,c,1, Ziyao Xud,1, Annalisa Comandatoreb,e, Geng Xub,c, Antonino Glavianof, Luca Morellid, Ingrid Garajovag, Elisa Giovannettib,c,h,*

a Master Oncology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands

b Department of Medical Oncology, Amsterdam UMC, Location Vrije Universiteit Amsterdam, Amsterdam, the Netherlands

c Cancer Biology and Immunology, Cancer Center Amsterdam, Amsterdam, the Netherlands

d Senior Department of General Surgery, the First Medical Center of Chinese PLA General Hospital, 28 Fuxing Road, Beijing 100853, China

e General Surgery Unit, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, 56100, Italy

f Department of Biological, Chemical and Pharmaceutical Sciences and Technologies, University of Palermo, Palermo, Italy

g Medical Oncology Unit, University Hospital of Parma, Parma, Italy

h Cancer Pharmacology Lab, AIRC Start-Up Unit, Fondazione Pisana per la Scienza, San Giuliano Terme, Pisa, Italy

* Corresponding author.

Abstract

Cellular senescence, described as a mechanism of irreversible cell cycle arrest, has emerged as a complex and multifaceted process with significant implications in cancer biology, particularly in pancreatic ductal adenocarcinoma (PDAC). This literature review aims to explore the intricate role of senescence in PDAC, focusing on its dual nature during tumorigenesis, in addition to therapy resistance, and its potential as a therapeutic target. Senescence escape was found to play a crucial role in PDAC progression, prompting the development of various pro-senescence therapies. However, recent studies have revealed a paradoxical aspect of the senescence-associated secretory phenotype, revealing its pro-tumorigenic effects and contribution to immune evasion in PDAC. By integrating insights from recent molecular studies, this review synthesizes current knowledge on the role of senescence in PDAC tumorigenesis and chemoresistance, with an emphasis on the emerging role of the tumor microenvironment and explores current and promising avenues for future research and potential therapeutic interventions.

Keywords

Pancreatic ductal adenocarcinoma; Chemoresistance; Senescence; Oncogene-induced senescence; Therapy-induced senescence; Senescence-associated secretory phenotype; Tumor microenvironment; Stroma; Hypoxia; Metabolism

Long-term recurrence of PDAC after resection for IPMN: A narrative review of the literature on clinical and biologic predictors

Annalisa Comandatorea,b, Gregorio Di Francoa, Ingrid Garajovác, Afrodita Panaitescud, Fabio Ausaniae, Livia Giannessib, Niccoló Furbettaa, Simone Guadagnia, Anna Caterina Milanettof, Claudio Pasqualig, Manuel Gentiluomoh, Chiara Corradih, Volkan Adsayi, Daniele Campah, Elisa Giovannettib,j,k,1,*, Luca Morellia,1,*

a General Surgery Unit, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa 56126, Italy

b Department of Medical Oncology, Cancer Center Amsterdam, University Medical Center, Amsterdam 1081, the Netherlands

c Medical Oncology Unit, University Hospital of Parma, Parma 43126, Italy

d Gastroenterology and Interventional Endoscopy Department, Bucharest Clinical Emergency Hospital, Bucharest, Romania

e Department of HBP and Transplant Surgery, Hospital Clinic de Barcelona, IDIBAPS, University of Barcelona, C/ Villarroel 170, Barcelona 08036, Spain

f UniCamillus – International Medical University in Rome, Roma, Italy

g Dept. Surgery, Oncology and Gastroenterology, Università degli Studi di Padova, Padova, Italy

h Department of Biology, University of Pisa, Pisa, Italy

i Department of Pathology, Koç University School of Medicine and Koç University Research Center for Translational Medicine, Istanbul, Turkey

j Cancer Pharmacology Lab, AIRC Start-Up Unit, Pisa, Italy

k Cancer Pharmacology Lab, Fondazione Pisana per la Scienza, Cancer Pharmacology Iacome Department, San Giuliano Terme, Italy

* Corresponding authors.

Abstract

Recurrence of IPMNs after surgical resection is defined as the reappearance of new cystic lesions, invasive carcinoma, or metastases, either in the remnant pancreas or other distant sites. The median 5-year cumulative incidence of residual pancreatic lesions is 10 % (range, 0–21 %) and this risk continues to increase even after five years, especially in patients with the presence of HGD at first surgery and a family history of pancreatic ductal adenocarcinoma (PDAC). The management algorithm for all IPMNs is described in the latest guidelines on IPMNs; the patient’s general condition, comorbidities, and life expectancy should be considered as well in the surgical decision. All patients operated for IPMN, have a risk of developing metachronous pancreatic lesions, which may require further surgery. Therefore, postoperative surveillance should be continued until the patient is surgically fit. The primary objective of this review is to evaluate the current scientific evidence regarding the management and surveillance strategies in patients who have undergone surgery for IPMN. Secondarily, we assessed the definitions of recurrence after surgery and explored the clinical, pathological, and biomolecular factors which may influence the biologic behavior of IPMNs. The optimal surveillance strategy for resected IPMN remains a topic of ongoing debate. The presence of an enlarging mass, the increase of ductal diameter, extrapancreatic disease observed during postoperative CT scans were previously taken into account as possible recurrence indicators. Additionally, positive resection margins, tumor invasiveness, and lymph node involvement were previously correlated with recurrence, while the role of molecular biomarkers still needs to bevalidated. This underscores the importance of rigorous, long-term follow-up, with multimodal approach as recurrent IPMNs can be detected even more than five years post-surgery.

Keywords

IPMN; Resected IPMN; Recurrent IPMN; Long term recurrence; PDAC; Biologic predictors of recurrence

Genomic instability, DNA damage response and telomere homeostasis in pancreatic cancer

Saba Selvi  1, Carmen Macías Real  2, Manuel Gentiluomo  3, Katerina Balounova  4, Klara Vokacova  5, Andrea Cumova  6, Beatrice Mohlenikova-Duchonova  7, Cosmeri Rizzato  3, Erika Halasova  8, Ludmila Vodickova  9, Bozena Smolkova  6, Kari Hemminki  10, Daniele Campa  3, Pavel Vodicka  11

Pancreatic cancer (PC) is becoming one of the most serious health problems at present, but its causes and risk factors are still unclear. One of the drivers in pancreatic carcinogenesis is altered genomic (DNA) integrity with subsequent genomic instability in cancer cells. The latter comprises a) DNA damage response and DNA repair mechanisms, b) DNA replication and mitosis, c) epigenetic regulation, and d) telomere maintenance. In our review we addressed the above aspects in relation to the most abundant and severe form of PC, pancreatic ductal adenocarcinoma (PDAC). In summary, the interactions between the DNA damage response, telomere homeostasis and mitotic regulation are not comprehensively understood at present, including the epigenetic factors entering the trait of genomic stability maintenance. In addition, the complexity of telomere homeostasis in relation to PDAC risk, prognosis and prediction also warrants further investigations.

Keywords:  DNA damage; DNA repair; Epigenetic regulation of genome integrity; Mitotic regulation; Pancreatic Cancer; Telomere homeostasis.

The exposome and pancreatic cancer, lifestyle and environmental risk factors for PDAC

Giulia Peduzzi  1, Livia Archibugi  2, Riccardo Farinella  1, Ruggero Ponz de Leon Pisani  2, Ludmila Vodickova  3, Pavel Vodicka  3, Bledar Kraja  4, Juan Sainz  5, David Bars-Cortina  6, Neil Daniel  7, Roberto Silvestri  1, Pinar Uysal-Onganer  8, Stefano Landi  1, Joanna Dulińska-Litewka  9, Annalisa Comandatore  10, Daniele Campa  1, David J Hughes  7, Cosmeri Rizzato  11

Pancreatic cancer (PC), particularly pancreatic ductal adenocarcinoma (PDAC), is a significant global health issue with high mortality rates. PDAC, though only 3 % of cancer diagnoses, causes 7 % of cancer deaths due to its severity and asymptomatic early stages. Risk factors include lifestyle choices, environmental exposures, and genetic predispositions. Conditions like new-onset type 2 diabetes and chronic pancreatitis also contribute significantly. Modifiable risk factors include smoking, alcohol consumption, non-alcoholic fatty pancreatic disease (NAFPD), and obesity. Smoking and heavy alcohol consumption increase PC risk, while NAFPD and obesity, particularly central adiposity, contribute through chronic inflammation and insulin resistance. Refined sugar and sugar-sweetened beverages (SSBs) are also linked to increased PC risk, especially among younger individuals. Hormonal treatments and medications like statins, aspirin, and metformin have mixed results on PC risk, with some showing protective effects. The gut microbiome influences PC through the gut-pancreas axis, with disruptions leading to inflammation and carcinogenesis. Exposure to toxic substances, including heavy metals and chemicals, is associated with increased PC risk. Glycome changes, such as abnormal glycosylation patterns, are significant in PDAC development and offer potential for early diagnosis. Interactions between environmental and genetic factors are crucial in PDAC susceptibility. Genome-wide association studies (GWAS) have identified several single nucleotide polymorphisms (SNPs) linked to PDAC, but gene-environment interactions remain largely unexplored. Future research should focus on polygenic risk scores (PRS) and large-scale studies to better understand these interactions and their impact on PDAC risk.

Keywords:  Exposome; Pancreatic Cancer; Risk factors.

Copyright © 2025 The Authors. Published by Elsevier Ltd.. All rights reserved.

The potential application of stroma modulation in targeting tumor cells: Focus on pancreatic cancer and breast cancer models

Giuseppina Roscignoa,1, Sacha Jacobsb,1, Belén Toledoc,d, Roberto Boreae, Gianluca Russoe, Francesco Pepee, Maria Jose Serranof, Viola Calabròa, Giancarlo Tronconee, Roberto Giovannonig,*, Elisa Giovannettih,i, Umberto Malapellee,*

a Department of Biology, Complesso Universitario Monte Sant’Angelo, University of Naples Federico II, Via Cintia 4, Naples 80126, Italy

b School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland

c Department of Health Sciences, University of Jaén, Campus Lagunillas, Jaén 23071, Spain

d Biopathology and Regenerative Medicine Institute (IBIMER), Centre for Biomedical Research, University of Granada, E-18016 Granada, Spain

e Department of Public Health, Federico II University of Naples, Via S. Pansini, 5, Naples 80131, Italy

f GENYO, Centre for Genomics and Oncological Research, Pfizer/University of Granada/Andalusian Regional Government, Liquid biopsy and Cancer Interception Group, PTS Granada, Avenida de la Ilustración 114, Granada 18016, Spain

g Department of Biology, Genetics Unit, University of Pisa, Via Derna 1, Pisa 56126, Italy

h Department of Medical Oncology, Cancer Center Amsterdam, UMC, Vrije Universiteit, HV Amsterdam, Amsterdam 1081, the Netherlands

i Cancer Pharmacology Lab, Fondazione Pisana Per La Scienza, San Giuliano 56017, Italy

* Corresponding authors.

Abstract

The tumor microenvironment (TME) plays a crucial role in cancer development and spreading being considered as “the dark side of the tumor”. Within this term tumor cells, immune components, supporting cells, extracellular matrix and a myriad of bioactive molecules that synergistically promote tumor development and therapeutic resistance, are included. Recent findings revealed the profound impacts of TME on cancer development, serving as physical support, critical mediator and biodynamic matrix in cancer evolution, immune modulation, and treatment outcomes. TME targeting strategies built on vasculature, immune checkpoints, and immuno-cell therapies, have paved the way for revolutionary clinical interventions. On this basis, the relevance of pre-clinical and clinical investigations has rapidly become fundamental for implementing novel therapeutical strategies breaking cell-cell and cell -mediators’ interactions between TME components and tumor cells. This review summarizes the key players in the breast and pancreatic TME, elucidating the intricate interactions among cancer cells and their essential role for cancer progression and therapeutic resistance. Different tumors such breast and pancreatic cancer have both different and similar stroma features, that might affect therapeutic strategies. Therefore, this review aims to comprehensively evaluate recent findings for refining breast and pancreatic cancer therapies and improve patient prognoses by exploiting the TME’s complexity in the next future.

Keywords

Exposome; Pancreatic Cancer; Risk factors.

Targeting pancreatic cancer screening by identification of pathogenic variants of BRCA2/ BRCA1 in healthy individuals who have no known family history of pancreatic cancer: The arguments for and against.

Julie Earl a, Agapi Kataki b, Federico Canzian c, Eithne Costello d, Daniele Campa e, William Greenhalf d

  1. Biomarkers and Personalized Approach to Cancer (BIOPAC) Group, Ramón y Cajal Health Research Institute (IRYCIS), CIBERONC, Carretera Colmenar Km 9,100, Madrid 28034, Spain
  2. Department of Propaeudeutic Surgery, Breast Unit, Medical School, National and Kapodistrian University of Athens, Greece
  3. Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
  4. Department of Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool, UK
  5. Department of Biology, University of Pisa, Italy

The majority of patients with pancreatic ductal adenocarcinoma (PDAC) are no longer suitable for treatment with curable intent at the time of diagnosis resulting in a 5-year survival of less than 10 %. Imaging of asymptomatic individuals could identify early cancers, but only with a risk of falsely identifying a benign lesion as malignant. Screening of an unselected population would result in far more such false positives than true early cancers. Selection before screening is therefore essential, but there are very few populations at high enough risk to make screening more beneficial than counterproductive. These populations include carriers of specific mutations in BRCA2, and arguably BRCA1, who have a family history of PDAC. These pathogenic mutations all have a predictable effect in making loss of Homologous Recombination Repair (HRR) likely in a carrier’s lifetime. In this review the impact of such loss of HRR function on the likelihood of PDAC development will be discussed. Furthermore, it will be discussed whether the identification of a germline pathogenic mutation is sufficient to justify carrier surveillance for the development of the malignancy, or whether the current practice of screening only those carriers with a close relative diagnosed with PDAC is justifiable, as only a proportion of carriers are at high risk. The review will go beyond this to discuss whether there is an essential need to better define and stratify those at high risk, so that only high-risk carriers are put on surveillance.

Keywords: Screening; Surveillance; Germline mutation; Cancer risk; BRCA2; BRCA1
Pancreatic neuroendocrine neoplasms (pNENs): Genetic and environmental biomarkers for risk of occurrence and prognosis

Matteo Tacelli 1, Manuel Gentiluomo 2, Paolo Biamonte 3, Justo P Castano 4, Maja Cigrovski Berković 5, Mauro Cives 6, Sanja Kapitanović 7, Ilaria Marinoni 8, Sonja Marinovic 7, Ilias Nikas 9, Lenka Nosáková 10, Sergio Pedraza-Arevalo 4, Eleonora Pellè 11, Aurel Perren 8, Jonathan Strosberg 11, Daniele Campa 2, Gabriele Capurso 12

PMID: 40158764

DOI: 10.1016/j.semcancer.2025.03.005

Abstract

Pancreatic neuroendocrine neoplasms (pNENs) are rare and heterogeneous tumors arising from neuroendocrine cells, representing approximately 10% of all Gastro-Entero-Pancreatic neuroendocrine neoplasms. While most pNENs are sporadic, a subset is associated with genetic syndromes such as multiple endocrine neoplasia type 1 (MEN1) or von Hippel-Lindau disease (VHL). pNENs are further classified into functioning and non-functioning tumors, with distinct clinical behaviors, prognoses, and treatment approaches. This review explores genetic and environmental biomarkers that influence the risk, prognosis, and therapeutic responses in pNENs. The epidemiology of pNENs reveals an increasing incidence, primarily due to advancements in imaging techniques. Genetic factors play a pivotal role, with germline mutations in MEN1, VHL, and other genes contributing to familial pNENs. Somatic mutations, including alterations in the mTOR pathway and DNA maintenance genes such as DAXX and ATRX, are critical in sporadic pNENs. These mutations, along with epigenetic dysregulation and transcriptomic alterations, underpin the diverse clinical and molecular phenotypes of pNENs. Emerging evidence suggests that epigenetic changes, including DNA methylation profiles, can stratify pNEN subtypes and predict disease progression. Environmental and lifestyle factors, such as diabetes, smoking, and chronic pancreatitis, have been linked to an increased risk of sporadic pNENs. While the association between these factors and tumor progression is still under investigation, their potential role in influencing therapeutic outcomes warrants further study. Advances in systemic therapies, including somatostatin analogs, mTOR inhibitors, and tyrosine kinase inhibitors, have improved disease management. Biomarkers such as Ki-67, somatostatin receptor expression, and O6-methylguanine-DNA methyltransferase (MGMT) status are being evaluated for their predictive value. Novel approaches, including the use of circulating biomarkers (NETest, circulating tumor cells, and ctDNA) and polygenic risk scores, offer promising avenues for non-invasive diagnosis and monitoring. Despite these advancements, challenges remain, including the need for large, well-annotated datasets and validated biomarkers. Future research should integrate multi-omics approaches and leverage liquid biopsy technologies to refine diagnostic, prognostic, and therapeutic strategies. Interdisciplinary collaborations and global consortia are crucial for overcoming current limitations and translating research findings into clinical practice. These insights hold promise for improving prevention, early detection, and tailored treatments, ultimately enhancing patient outcomes.

Keywords: Genetic; NEN; NET; Neuroendocrine neoplasms; PNET; PanNEN; Radioligand; Risk factors; Somatostatin.

Copyright © 2025 Elsevier Ltd. All rights reserved.

From classical approaches to artificial intelligence, old and new tools for PDAC risk stratification and prediction

Riccardo Farinella 1, Alessio Felici 1, Giulia Peduzzi 1, Sabrina Gloria Giulia Testoni 2, Eithne Costello 3, Paolo Aretini 4, Ricardo Blazquez-Encinas 5, Elif Oz 6, Aldo Pastore 4, Matteo Tacelli 7, Burçak Otlu 8, Daniele Campa 1, Manuel Gentiluomo 9

PMID: 40147701

DOI: 10.1016/j.semcancer.2025.03.004

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is recognized as one of the most lethal malignancies, characterized by late-stage diagnosis and limited therapeutic options. Risk stratification has traditionally been performed using epidemiological studies and genetic analyses, through which key risk factors, including smoking, diabetes, chronic pancreatitis, and inherited predispositions, have been identified. However, the multifactorial nature of PDAC has often been insufficiently addressed by these methods, leading to limited precision in individualized risk assessments. Advances in artificial intelligence (AI) have been proposed as a transformative approach, allowing the integration of diverse datasets-spanning genetic, clinical, lifestyle, and imaging data into dynamic models capable of uncovering novel interactions and risk profiles. In this review, the evolution of PDAC risk stratification is explored, with classical epidemiological frameworks compared to AI-driven methodologies. Genetic insights, including genome-wide association studies and polygenic risk scores, are discussed, alongside AI models such as machine learning, radiomics, and deep learning. Strengths and limitations of these approaches are evaluated, with challenges in clinical translation, such as data scarcity, model interpretability, and external validation, addressed. Finally, future directions are proposed for combining classical and AI-driven methodologies to develop scalable, personalized predictive tools for PDAC, with the goal of improving early detection and patient outcomes.

Keywords: Artificial intelligence; Early detection; Genetic susceptibility; Pancreatic cancer; Risk stratification.

Copyright © 2025 The Authors. Published by Elsevier Ltd.. All rights reserved.

The relationship of the microbiome, associated metabolites and the gut barrier with pancreatic cancer

Neil Daniel 1, Riccardo Farinella 2, Flavia Belluomini 2, Almir Fajkic 3, Cosmeri Rizzato 2, Pavel Souček 4, Daniele Campa 2, David J Hughes 5

PMID: 40154652

DOI: 10.1016/j.semcancer.2025.03.002

Abstract

Pancreatic cancers have high mortality and rising incidence rates which may be related to unhealthy western-type dietary and lifestyle patterns as well as increasing body weights and obesity rates. Recent data also suggest a role for the gut microbiome in the development of pancreatic cancer. Here, we review the experimental and observational evidence for the roles of the oral, gut and intratumoural microbiomes, impaired gut barrier function and exposure to inflammatory compounds as well as metabolic dysfunction as contributors to pancreatic disease with a focus on pancreatic ductal adenocarcinoma (PDAC) initiation and progression. We also highlight some emerging gut microbiome editing techniques currently being investigated in the context of pancreatic disease. Notably, while the gut microbiome is significantly altered in PDAC and its precursor diseases, its utility as a diagnostic and prognostic tool is hindered by a lack of reproducibility and the potential for reverse causality in case-control cohorts. Future research should emphasise longitudinal and mechanistic studies as well as integrating lifestyle exposure and multi-omics data to unravel complex host-microbiome interactions. This will allow for deeper aetiologic and mechanistic insights that can inform treatments and guide public health recommendations.

Keywords: Bacterial metabolites; Diet; Microbiome; Pancreatic ductal adenocarcinoma.

Copyright © 2025 The Authors. Published by Elsevier Ltd.. All rights reserved.

Biomarkers, omics and artificial intelligence for early detection of pancreatic cancer

Kate Murray 1, Lucy Oldfield 1, Irena Stefanova 1, Manuel Gentiluomo 2, Paolo Aretini 3, Rachel O’Sullivan 1, William Greenhalf 1, Salvatore Paiella 4, Mateus N Aoki 5, Aldo Pastore 6, James Birch-Ford 1, Bhavana Hemantha Rao 7, Pinar Uysal-Onganer 8, Caoimhe M Walsh 9, George B Hanna 9, Jagriti Narang 10, Pradakshina Sharma 10, Daniele Campa 2, Cosmeri Rizzato 2, Andrei Turtoi 11, Elif Arik Sever 12, Alessio Felici 2, Ceren Sucularli 13, Giulia Peduzzi 2, Elif Öz 14, Osman Uğur Sezerman 14, Robert Van der Meer 15, Nathan Thompson 15, Eithne Costello 16

PMID: 39986585

DOI: 10.1016/j.semcancer.2025.02.009

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is frequently diagnosed in its late stages when treatment options are limited. Unlike other common cancers, there are no population-wide screening programmes for PDAC. Thus, early disease detection, although urgently needed, remains elusive. Individuals in certain high-risk groups are, however, offered screening or surveillance. Here we explore advances in understanding high-risk groups for PDAC and efforts to implement biomarker-driven detection of PDAC in these groups. We review current approaches to early detection biomarker development and the use of artificial intelligence as applied to electronic health records (EHRs) and social media. Finally, we address the cost-effectiveness of applying biomarker strategies for early detection of PDAC.

Keywords: Artificial intelligence; Biomarkers; Early detection; Omics; Pancreatic cancer.

Copyright © 2025. Published by Elsevier Ltd.

Leveraging epigenetic alterations in pancreatic ductal adenocarcinoma for clinical applications

Jorg Tost 1, Secil Ak-Aksoy 2, Daniele Campa 3, Chiara Corradi 4, Riccardo Farinella 5, Alejandro Ibáñez-Costa 6, Juan Dubrot 7, Julie Earl 8, Emma Barreto Melian 9, Agapi Kataki 10, Georgina Kolnikova 11, Gjorgji Madjarov 12, Marija Chaushevska 13, Jan Strnadel 14, Miljana Tanić 15, Miroslav Tomas 16, Peter Dubovan 17, Maria Urbanova 18, Verona Buocikova 19, Bozena Smolkova 20

PMID: 39863139

DOI: 10.1016/j.semcancer.2025.01.003

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy characterized by late detection and poor prognosis. Recent research highlights the pivotal role of epigenetic alterations in driving PDAC development and progression. These changes, in conjunction with genetic mutations, contribute to the intricate molecular landscape of the disease. Specific modifications in DNA methylation, histone marks, and non-coding RNAs are emerging as robust predictors of disease progression and patient survival, offering the potential for more precise prognostic tools compared to conventional clinical staging. Moreover, the detection of epigenetic alterations in blood and other non-invasive samples holds promise for earlier diagnosis and improved management of PDAC. This review comprehensively summarises current epigenetic research in PDAC and identifies persisting challenges. These include the complex nature of epigenetic profiles, tumour heterogeneity, limited access to early-stage samples, and the need for highly sensitive liquid biopsy technologies. Addressing these challenges requires the standardisation of methodologies, integration of multi-omics data, and leveraging advanced computational tools such as machine learning and artificial intelligence. While resource-intensive, these efforts are essential for unravelling the functional consequences of epigenetic changes and translating this knowledge into clinical applications. By overcoming these hurdles, epigenetic research has the potential to revolutionise the management of PDAC and improve patient outcomes.

Keywords: Biomarker; DNA methylation; Epigenetic regulation; Non-coding RNA; Pancreatic ductal adenocarcinoma.

Copyright © 2025 The Authors. Published by Elsevier Ltd.. All rights reserved.

Publications related to TRANSPAN special issue in "Seminars on Cancer Biology" - Year 2024
Multi-omic markers of intraductal papillary mucinous neoplasms progression into pancreatic cancer

Chiara Corradi 1, Manuel Gentiluomo 1, Volkan Adsay 2, Juan Sainz 3, Paolo Riccardo Camisa 4, Barbara Wlodarczyk 5, Stefano Crippa 4, Francesca Tavano 6, Gabriele Capurso 7, Daniele Campa 8

PMID: 39733817

DOI: 10.1016/j.semcancer.2024.12.005

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is the most lethal and common form of pancreatic cancer, it has no specific symptoms, and most of the patients are diagnosed when the disease is already at an advanced stage. Chemotherapy typically has only a modest effect, making surgery the most effective treatment option. However, only a small percentage of patients are amenable to surgery. One viable strategy to reduce PDAC death burden associated with the disease is to focus on precursor lesions and identify markers able to predict who will evolve into PDAC. While most PDACs are believed to be preceded by pancreatic intraepithelial neoplasms (PanINs), 5-10 % arise from Intraductal papillary mucinous neoplasms (IPMNs), which are mass-forming cystic lesions that are very common in the general population. IPMNs offer an invaluable model of pancreatic carcinogenesis for researchers to analyse, as well as a target population for PDAC early detection by clinicians. The evolution of IPMN into cancer is a complex and multistep process, therefore the identification of individual markers will not be the solution. In recent years, multiple omics technologies have been instrumental to identify possible biomarkers of IPMN progression and carcinogenesis. The only foreseeable strategy will be to integrate multi-omics data, alongside clinical and morphological features, into a progression score or signature using either standard epidemiologic tools or artificial intelligence. The aim of this manuscript is to review the current knowledge on genetic biomarkers and to briefly mention also additional omics, such as metabolomics, the exposome, the miRNome and epigenomics of IPMNs.

Keywords: Exposome; Intraductal papillary mucinous neoplasm; Metabolomics; MicroRNA; Polymorphisms.

Unravelling the complexities of resistance mechanism in pancreatic cancer: Insights from in vitro and ex-vivo model systems

Giulia Lencioni 1, Alessandro Gregori 2, Belén Toledo 3, Rita Rebelo 4, Benoît Immordino 5, Manoj Amrutkar 6, Cristina P R Xavier 7, Anja Kocijančič 8, Deo Prakash Pandey 8, Macarena Perán 9, Justo P Castaño 10, Naomi Walsh 11, Elisa Giovannetti 12

PMID: 39299411

DOI: 10.1016/j.semcancer.2024.09.002

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is an aggressive cancer with poor prognosis and rising global deaths. Late diagnosis, due to absent early symptoms and biomarkers, limits treatment mainly to chemotherapy, which soon encounters resistance. PDAC treatment innovation is hampered by its complex and heterogeneous resistant nature, including mutations in key genes and a stromal-rich, immunosuppressive tumour microenvironment. Recent studies on PDAC resistance stress the need for suitable in vitro and ex vivo models to replicate its complex molecular and microenvironmental landscape. This review summarises advances in these models, which can aid in combating chemoresistance and serve as platforms for discovering new therapeutics. Immortalised cell lines offer homogeneity, unlimited proliferation, and reproducibility, but while many gemcitabine-resistant PDAC cell lines exist, fewer models are available for resistance to other drugs. Organoids from PDAC patients show promise in mimicking tumour heterogeneity and chemosensitivity. Bioreactors, co-culture systems and organotypic slices, incorporating stromal and immune cells, are being developed to understand tumour-stroma interactions and the tumour microenvironment’s role in drug resistance. Lastly, another innovative approach is three-dimensional bioprinting, which creates tissue-like structures resembling PDAC architecture, allowing for drug screening. These advanced models can guide researchers in selecting optimal in vitro tests, potentially improving therapeutic strategies and patient outcomes.

Keywords: Chemoresistance; In vitro models; Organoids; Organotypic slices; Pancreatic cancer.

Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.

Organoids, tissue slices and organotypic cultures: Advancing our understanding of pancreatic ductal adenocarcinoma through in vitro and ex vivo models

Secil Ak Aksoy 1, Julie Earl 2, Jelena Grahovac 3, Didem Karakas 4, Giulia Lencioni 5, Sıla Sığırlı 4, Maarten F Bijlsma 6

PMID: 39730107

DOI: 10.1016/j.semcancer.2024.12.003

Abstract

Pancreatic ductal adenocarcinoma (PDAC) has one of the worst prognoses of all common solid cancers. For the large majority of PDAC patients, only systemic therapies with very limited efficacy are indicated. In addition, immunotherapies have not brought the advances seen in other cancer types. Several key characteristics of PDAC contribute to poor treatment outcomes, and in this review, we will discuss how these characteristics are best captured in currently available ex vivo or in vitro model systems. For instance, PDAC is hallmarked by a highly desmoplastic and immune-suppressed tumor microenvironment that impacts disease progression and therapy resistance. Also, large differences in tumor biology exist between and within tumors, complicating treatment decisions. Furthermore, PDAC has a very high propensity for locally invasive and metastatic growth. The use of animal models is often not desirable or feasible and several in vitro and ex vivo model systems have been developed, such as organotypic cocultures and tissue slices, among others. However, the absence of a full host organism impacts the ability of these models to accurately capture the characteristics that contribute to poor outcomes in PDAC. We will discuss the caveats and advantages of these model systems in the context of PDAC’s key characteristics and provide recommendations on model choice and the possibilities for optimization. These considerations should be of use to researchers aiming to study PDAC in the in vitro setting.

Keywords: Experimental models; Metastasis; Organoids; Pancreatic cancer; Therapy resistance.

Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.

This is a collection of Publications related to our COST Action

This is a collection of Publications related to our COST Action - Year 2026
Prognostic and Clinicopathological Significance of CD74 Expression in Pancreatic Ductal Adenocarcinoma: A Systematic Review and Meta-Analysis

Ioan Alexandru Vacariu1, Silvia Mihaela Ilie2,3,4, Cristin Constantin Vere5,*, Adina Turcu-Stiolica6,7,*, Eleni Manthopoulou8, Mihai Radu Pahomeanu9,10, Eugen Tcaciuc11, Sebastian Constantin Toma12, Bogdan Silviu Ungureanu5

1 Doctoral School, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania

2 Department of Medical Oncology, Georges Francois Leclerc Cancer Center, 21079 Dijon, France

3 Cancer Biology Transfer Platform, Georges Francois Leclerc Cancer Center, 21079 Dijon, France

4 INSERM UMR 1231, Center for Translational and Molecular Medicine (CTM), University of Burgundy Europe, 21079 Dijon, France

5 Department of Gastroenterology, Faculty of Medicine, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania

6 Biostatistics Department, Faculty of Pharmacy, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania

7 Health Economics and Outcomes Research Department, Faculty of Medicine, “Iuliu Haţieganu” University of Medicine and Pharmacy Cluj-Napoca, Victor Babes Street No. 8, 400012 Cluj-Napoca, Romania

8 Gastroenterology Department, General Hospital of Nea Ionia “Konstantopouleio-Patision”, 3–5 Theodorou Konstantopoulou Street, Nea Ionia, 14233 Athens, Greece

9 Internal Medicine and Gastroenterology Department, Faculty of Medicine, Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania

10 Internal Medicine and Gastroenterology Department, University Emergency Hospital of Bucharest, 050098 Bucharest, Romania

11 Department of Gastroenterology, Nicolae Testemitanu State University of Medicine and Pharmacy, MD-2004 Chisinau, Moldova

12 General Surgery Department, Dr. Constantin Andreoiu, Ploiesti County Emergency Hospital, 100097 Ploiesti, Romania

* Authors to whom correspondence should be addressed.

Int. J. Mol. Sci. 2026, 27(19), 8488

DOI: https://doi.org/10.3390/ijms27198488

Abstract

Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal solid malignancies, and reliable prognostic biomarkers are urgently needed to guide risk stratification and treatment. CD74 has been implicated in tumor progression, invasion, and pro-inflammatory signaling in various cancers. This systematic review and meta-analysis aimed to evaluate the association between CD74 expression and key clinicopathological features and survival outcomes in patients with PDAC. A systematic literature search was conducted in PubMed, Web of Science, and Scopus to identify eligible studies reporting on CD74 expression in PDAC tissues (PROSPERO: CRD420261402709). Studies were selected following the PRISMA 2020 guidelines. The methodological quality of the included studies was assessed using the QUIPS tool. Pooled odds ratios (ORs) with 95% confidence intervals (CIs) were calculated for the associations between CD74 expression and perineural invasion (PNI), lymphatic invasion, lymph node metastasis (pN), vascular permeation, pTNM stage, and overall survival. Statistical analyses were performed using Review Manager v5.4. DerSimonian–Laird random-effects models were applied as sensitivity analysis for every outcome, with Mantel–Haenszel fixed-effects models as the primary analysis according to the level of heterogeneity, which was quantified using the I2 statistic. A total of 83 records were initially identified, of which five studies met the inclusion criteria and were included in the quantitative synthesis. CD74-positive expression was significantly associated with an increased risk of perineural invasion (four cohorts, 351 patients; OR = 3.69; 95% CI: 2.27–5.99; p < 0.00001; I2 = 0%), lymphatic invasion (four cohorts, 351 patients; OR = 2.05; 95% CI: 1.21–3.46; p = 0.007; I2 = 0%), and lymph node metastasis (four cohorts, 462 patients; OR = 1.94; 95% CI: 1.27–2.96; p = 0.002; I2 = 0%). A non-significant trend toward increased vascular permeation (three cohorts, 181 patients; OR = 1.99; 95% CI: 0.84–4.68; p = 0.12; I2 = 0%) and advanced pTNM stage (three cohorts, 284 patients; OR = 1.62; 95% CI: 0.93–2.82; p = 0.09; I2 = 0%) was also observed. Importantly, CD74 positivity was significantly associated with worse overall survival (three cohorts, 293 patients; HR = 2.04, 95% CI: 1.45–2.88; p < 0.00001; I2 = 0%). This analysis was structured into two subgroups: HR = 2.21 (95% CI: 1.50–3.25) in the two cohorts contributing multivariable-adjusted, immunohistochemistry-based estimates, and HR = 1.52 (95% CI: 0.72–3.21) in the single cohort contributing a univariable estimate reconstructed from transcript-level data, with no significant difference between the subgroups (p = 0.38). Because the estimated between-study variance was zero for every outcome, random-effects estimates were almost identical to the fixed-effects estimates throughout. As the pooled survival estimate combines adjusted with unadjusted estimates, it describes a prognostic association rather than established independent prognostic value. This meta-analysis demonstrates that elevated CD74 expression in PDAC is significantly associated with perineural invasion, lymphatic invasion, lymph node metastasis, and poorer overall survival, supporting an association with an adverse prognostic. Because the evidence base comprises few retrospective cohorts that used different, non-standardized thresholds to define CD74 positivity and different definitions of several outcomes, these findings should be regarded as hypothesis-generating: they identify CD74 as a candidate for prospective validation and mechanistic investigation rather than as an established biomarker for risk stratification or therapeutic decision-making. Further large-scale prospective studies are warranted to validate these results and explore the clinical utility of CD74-targeted strategies.

Keywords: CD74; pancreatic ductal adenocarcinoma; PDAC; perineural invasion; lymph node metastasis; prognosis; meta-analysis

Protocol for eVLP-mediated CRISPR-Cas9 and prime editing in pancreatic cancer cell lines

Chloe Timmins-Young1, Marco Cordani2,3, Elisa Giovannetti4,5, Despoina Aslanoglou6, Alvaro Gutierrez7,3, Eithne Costello1,9, Mark Glenn1,8

1 Liverpool Experimental Cancer Medicine Centre, University of Liverpool, Liverpool, L69 3GE, UK

2 Department of Biochemistry and Molecular Biology, Faculty of Biological Sciences, Complutense University of Madrid, Madrid, Spain

3 San Carlos Health Research Institute (IdISSC), Madrid, 28040, Spain

4 Department of Medical Oncology, Cancer Center Amsterdam, Amsterdam University Medical Center, Vrije Universiteit, Amsterdam, the Netherlands

5 Cancer Pharmacology Lab, Fondazione Pisana per La Scienza, Pisa, San Giuliano Terme, Italy

6 School of Medicine, Pharmacy and Biomedical Sciences, University of Portsmouth, Portsmouth, UK

7 Department of Biochemistry and Molecular Biology, Faculty of Pharmacy, Complutense University of Madrid, Madrid, Spain

8 Technical contact.

9 Lead contact.

Email: Eithne Costello — ecostell@liverpool.ac.uk; Mark Glenn — maglenn@liverpool.ac.uk.

DOI: https://doi.org/10.1016/j.xpro.2026.104904

Abstract

Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.
Highlights
• Steps for generating retrovirus-derived eVLPs for genome editing of PDAC cells
• Instructions for packaging Cas9 RNPs and prime-editing cargos into eVLPs
• Guidance on eVLP transduction of SUIT-2, PANC-1, and MIA PaCa-2 cells
• Instructions for identifying CRISPR/prime editing-mediated indels using PCR

Summary

Pancreatic ductal adenocarcinoma (PDAC) cell lines resist transfection, limiting gene-editing experiments. Here, we present a protocol for delivering CRISPR-Cas9 or prime editors into PDAC cell lines using retrovirus-derived engineered virus-like particles (eVLPs). We describe steps for generating eVLPs, packaging CRISPR-Cas9 ribonucleoproteins or prime editors with engineered prime-editing guide RNAs (epegRNAs), and transducing human PDAC cells. We use the HEK3 locus and NQO1 (NAD(P)H quinone dehydrogenase 1) exon 6 as example edits and controls, respectively. This protocol adapts readily to other genomic sites.

Antitumor Activity of Cannabinoids and Their Interaction with Chemotherapy: A Systematic Review and Meta-Analysis of Preclinical Evidence

Ioana Creangă-Murariu1,2,3, Ioana-Irina Rezuș1,2,4, Roshanak Karami1,4,5, Amir Makolli1,6,7, Codrin Chifu8, Anett Rancz1, Zoltán Sipos9,10, Péter Ferdinandy6,7,11, Renáta Papp1,6,7, Brigitta Teutsch1,12, Bogdan-Ionel Tamba2,*, Péter Hegyi1,9,13,14,*, Stefania Bunduc1,15,16,*

1 Centre for Translational Medicine, Semmelweis University, 1085 Budapest, Hungary

2 Advanced Center for Research and Development in Experimental Medicine “Prof. Ostin C. Mungiu”, Grigore T. Popa University of Medicine and Pharmacy, 700115 Iasi, Romania

3 Medical Oncology-Radiotherapy Department, Grigore T. Popa University of Medicine and Pharmacy, 700115 Iasi, Romania

4 Department of Radiology, Grigore T. Popa University of Medicine and Pharmacy, 700115 Iasi, Romania

5 Pharmacy Faculty, Semmelweis University, 1085 Budapest, Hungary

6 Department of Pharmacology and Pharmacotherapy, Semmelweis University, 1085 Budapest, Hungary

7 Center for Pharmacology and Drug Research & Development, Semmelweis University, 1085 Budapest, Hungary

8 Anesthesiology and Intensive Care Unit, Regional Institute of Oncology, 700483 Iasi, Romania

9 Institute for Translational Medicine, Medical School, University of Pécs, 7622 Pécs, Hungary

10 Institute of Bioanalysis, Medical School, University of Pécs, 7622 Pécs, Hungary

11 Pharmahungary Group, 6722 Szeged, Hungary

12 Department of Radiology, Medical Imaging Centre, Semmelweis University, 1085 Budapest, Hungary

13 Institute of Pancreatic Diseases, Semmelweis University, 1085 Budapest, Hungary

14 Translational Pancreatology Research Group, Interdisciplinary Centre of Excellence for Research Development and Innovation, University of Szeged, 6720 Szeged, Hungary

15 Gastroenterology Department, Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania

16 Digestive Disease and Liver Transplant Center, Fundeni Clinical Institute, 022328 Bucharest, Romania

* Authors to whom correspondence should be addressed.

Pharmaceuticals 2026, 19(5), 768

DOI: https://doi.org/10.3390/ph19050768

Abstract

Background: Cannabinoids are studied as anticancer agents, but their effects vary across tumors, compounds, and experimental settings, underscoring the need to define consistent patterns. Our objective was to map cannabinoid efficacy across cancer preclinical models and identify tumor settings with the greatest translational promise.

Methods: The protocol was registered on PROSPERO (CRD42025543744); PubMed, Embase, and CENTRAL were searched on 4 April 2024 for in vitro and in vivo studies assessing cannabinoid antitumor effects alone or with chemotherapy versus vehicle or chemotherapy only. Random-effects models yielded pooled mean differences (MD) with 95% confidence intervals (CI). MDs of viable cells were calculated for in vitro assays and tumor volume (mm3) for in vivo studies. Reports of various compounds, cannabidiol (CBD), tetrahydrocannabinol (THC) or synthetic cannabinoids, were pooled.

Results: We included 189 studies in the final analysis. In vitro, cannabinoids reduced cell viability modestly overall, with significant effects in glioblastoma (MD −18.77 [CI: −27.15; −10.39]) and a nonsignificant trend in breast cancer (MD −6.75 [CI: −13.90; 0.40]). For in vivo, monotherapy showed the most consistent efficacy in glioblastoma, significantly reducing tumor volume by MD −980.58 mm3; [CI: −1270.2; −690.88]. Addition to temozolomide produced a favorable but nonsignificant decrease of MD −220.65 mm3; [CI: −579.34; 138.03, vs. temozolomide]. In breast cancer, cannabinoids achieved smaller yet significant tumor reductions (MD −402.64 mm3); [CI: −671.84; −133.45]. Synthetic agents had the largest effect (MD −1295.19 mm3); [CI: −1664.33; −928.05] -CBD plus doxorubicin vs. doxorubicin). Lung cancer (MD −562.17 mm3); [CI: −693.99; −430.35] and prostate cancer (MD −1136.59 mm3); [95% CI: −1320.97; −952.21] also had a significant response, whereas colon, pancreatic, and hepatocellular carcinoma models showed inconsistent or null responses.

Conclusions: Cannabinoids show promise as adjuncts in oncotherapy, particularly in glioblastoma and breast cancer, to enhance chemotherapy efficacy. These findings should be interpreted with caution given the high inter-study heterogeneity typical of preclinical research and should be considered hypothesis-generating, warranting further validation in standardized and clinically relevant models.

Keywords: cannabinoids; antitumor effects; glioblastoma; breast cancer; preclinical studies

Evaluation of recombinant trypsinogen and chymotrypsinogen production in Komagataella phaffii through co-expression of HAC1 and PDI1

Aitor González-Titos1,2,3,4, Belén Toledo1,2,5, Sonakshi De4,6, María José Grande1, Antonio Gálvez1, Juan Antonio Marchal2,3,7,8, Diethard Mattanovich4,6, Macarena Perán1,2,3

DOI: https://doi.org/10.1186/s12934-026-03019-5

Abstract

Background
Trypsinogen and chymotrypsinogen are serine proteases with potential therapeutic applications in cancer. However, due to ethical, safety and variability concerns, their clinical use has been limited by the reliance on bovine or porcine pancreatic extracts. Recombinant expression in Komagataella phaffii (syn. Pichia pastoris) offers a scalable and controlled alternative. However, further optimisation is required to increase protein titer and secretion.

Results
Recombinant strains were engineered to express human trypsinogen and chymotrypsinogen. The effect of medium supplementation and co-expression of HAC1 and PDI1 on protein production was evaluated. Co-expression of HAC1 increased trypsinogen production by 3.2-fold, while PDI1 significantly increased chymotrypsinogen titer by 8.5-fold compared to parental strains. Medium optimisation had minimal effect on protein expression. SDS-PAGE and Western blotting analyses confirmed successful expression and secretion of both enzymes.

Conclusions
The combination of genetic modification and medium optimisation significantly improved the recombinant production of trypsinogen and chymotrypsinogen in K. phaffii. HAC1 proved to be more effective in increasing the production of trypsinogen, while PDI1 co-expression significantly increased chymotrypsinogen titers. These findings provide a promising strategy for improving the production of these proteases, supporting their potential applications in biotechnology and biomedical research.

Immunosuppressive roles of pericytes in cancer disease: insights from a systematic review and meta-analysis

Pablo Hernández-Camarero1,2, Belén Toledo2,3,8, Ana Belén Díaz-Ruano1,2, Manuel Picon-Ruiz1,2,6,7, Aitor González-Titos1,2, Roberto Madeddu3,4,5, Juan Antonio Marchal1,2,6,7, Macarena Perán2,6,8

DOI: https://doi.org/10.1186/s12967-026-08216-9

Abstract

Background
Although the crosstalk between the immune system and tumour endothelial cells has been extensively investigated, interactions with tumour-associated pericytes (TAPs) remain poorly understood. Such issue may be of great interest considering the immunoregulatory roles of pericytes reported in both healthy and tumour tissues. This systematic review integrates current evidence on TAP–immune system interplay, encompassing functional roles, molecular mechanisms, associated biomarkers, and in vitro assessment methodologies. Preclinical investigations on the anticancer potential of TAP-targeted immunotherapies were also critically analysed, complemented by a meta-analysis assessing TAP-mediated immune regulation across distinct malignancies with a larger sample size.

Methods
Following the 2020 PRISMA guidelines, literature searches were conducted in PubMed, Web of Science, and Scopus for studies published up to February 2026. Of 3,557 records, 64 met the inclusion criteria after multi-stage screening (“title and abstract,” “full text” and “reference check”). Risk of bias was assessed using the OHAT tool for in vitro studies and the SYRCLE tool for in vivo research. Meta-analyses were performed using UALCAN and TIMER platforms.

Results
Our findings identified tumour-associated macrophages (TAMs) as the main immune regulators of TAPs, while TAPs modulate a broad range of immune cells—including TAMs, dendritic cells, B and T lymphocytes, regulatory T cells, myeloid-derived suppressor cells, and natural killer cells—thereby promoting an immunosuppressive tumour microenvironment. Indeed, experimental studies demonstrate the capacity of TAPs to reduce the anti-tumour efficacy of traditional cancer immunotherapies like inhibitory immune checkpoint blockade or adoptive immune cells therapies. Evidence remains scarce for certain cancers (e.g., cholangiocarcinoma, hepatic, and head and neck squamous cell carcinoma) and for lymphatic TAPs. Marked heterogeneity among TAPs and the limited availability of commercial pericyte-like cell lines represent major experimental challenges. Immunotherapies targeting TAPs, such as cancer vaccines and CAR-engineered immune cells, showed promising preclinical efficacy, highlighting their potential as translational medicine. Our meta-analysis further supports the strong immunosuppressive potential of TAPs, even in the underexplored malignancies above mentioned.

Conclusions
Collectively, this study highlights the crucial interplay between TAPs and immune cells in tumour biology and underscores the therapeutic promise of TAP-targeted immunotherapies, along with the importance of long-term evaluation of TAP-targeted immunotherapies and the development of standardized pericyte-like cell models.

Trial registration
The section “Immunotherapies Targeting TAPs” was registered in PROSPERO (ID: CRD420251053567).

Fungal Rutinosidase-Engineering of a Side Tunnel Steers Its Transglycosylation Potential

Lucie Petrásková, Michael Kotik, Natalia Kulik, Andrea Vopálenská, Anna Šidáková, Katerina Brodsky, Vladimír Křen, Pavla Bojarová*

DOI: https://doi.org/10.1021/acs.jafc.6c02816

Abstract

Rutinosidases (α-l-rhamnosyl-β-d-glucosidases) are glycosidases (EC 3.2.1.168) that cleave the glycosidic bond between the aglycone and the disaccharide residue rutinose. Their dual substrate specificity is reflected in their activity toward both rutin (rutinosylated) and isoquercitrin (glucosylated) substrates. The structure of rutinosidase from Aspergillus niger (AnRut) features a side tunnel that influences the enzyme hydrolytic and transglycosylation activities. We present a mutagenesis study of this side tunnel, and the compartment forming the +1 binding subsite, resulting in seven variants with different active-site entry geometries. We show that the key side tunnel residues affect the catalytic and trans-rutinosylation potential of AnRut and compare these properties with rutinosidase from Aspergillus oryzae, which has a side groove instead of a side tunnel. The trans-rutinosylation abilities of the enzymes were tested using a diverse library of acceptors. This work expands the structure–function understanding of fungal rutinosidases and underlies the hypothesis that the engineering of the side tunnel can increase the transglycosylation-to-hydrolysis ratio.uation.

Integrating thermal liquid biopsy, clinical data, and mass spectrometry for early diagnosis and biomarker discovery in colorectal cancer

Sonia Hermoso-Durán1,2,3,4, David Ortega-Alarcon1,2, Astrid Z. Johansen5, Mattew J. McKay6, Julia S. Johansen5,7,8, Sonia Vega1, Claus L. Feltoft7, Troels Gammeltoft Dolin7,8, Jakob Lykke9, Nicolas Fraunhoffer10, Oscar Sanchez-Gracia11, Pablo F. Garrido1,12,13, Ángel Lanas2,3,14,15, Mark P. Molloy6, Adrian Velazquez-Campoy1,2,3,16, Olga Abian1,2,3,16,17

1 Institute of Biocomputation and Physics of Complex Systems (BIFI), Universidad de Zaragoza, Zaragoza, 50018, Spain

2 Instituto de Investigación Sanitaria Aragón (IIS Aragón), Zaragoza, 50009, Spain

3 Centro de Investigación Biomédica en Red en el Área Temática de Enfermedades Hepáticas y Digestivas (CIBERehd), Madrid, 28029, Spain

4 Department of Radiation Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway

5 Department of Oncology, Copenhagen University Hospital – Herlev and Gentofte, Herlev, 2730, Denmark

6 School of Medical Sciences, Kolling Institute, The University of Sydney, St Leonards, NSW, Australia

7 Department of Medicine, Copenhagen University Hospital – Herlev and Gentofte, Herlev, 2730, Denmark

8 Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 2100, Denmark

9 Department of Surgery, Copenhagen University Hospital – Herlev and Gentofte, Herlev, 2730, Denmark

10 Aix-Marseille Université, CNRS, Equipe labélisée Ligue Nationale Contre le Cancer, Centre Interdisciplinaire de Nanoscience de Marseille, Marseille, 13288, France

11 Departamento de Ingeniería Electrónica y Comunicaciones, Universidad de Zaragoza, Zaragoza, 50009, Spain

12 Department of Physics, University of Oslo, Oslo, 0316, Norway

13 Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, 0316, Norway

14 Hospital Clínico Universitario Lozano Blesa, Avenida San Juan Bosco 13, Zaragoza, 50009, Spain

15 Departamento de Medicina, Psiquiatría y Dermatología, Universidad de Zaragoza, Zaragoza, 50009, Spain

16 Departamento de Bioquímica y Biología Molecular y Celular, Universidad de Zaragoza, Zaragoza, 50009, Spain

17 Lead contact.

Email: Adrian Velazquez-Campoy — adrianvc@unizar.es; Olga Abian — oabifra@unizar.es.

Received: September 4, 2025; Revised: December 12, 2025; Accepted: December 17, 2025; Published online: January 21, 2026

DOI: https://doi.org/10.1016/j.isci.2026.114751

Abstract

Highlights

•Thermal liquid biopsy improves early detection of colorectal cancer
•Integrating TLB with clinical data improves diagnosis, especially in stages I–III CRC
•Proteomics identifies FGL1 as a novel serum biomarker linked to prognosis
•Combining TLB, clinical data, and proteomics supports non-invasive, personalized diagnosis

Summary

Early detection of colorectal cancer is essential to improving survival, where yet current diagnostic tools show limited performance. This study aimed to enhance diagnostic accuracy by integrating clinical variables with thermogram profiles obtained through serum-based thermal liquid biopsy and analyzed using machine learning models. We evaluated 328 patients with colorectal cancer and 355 symptomatic individuals with non-organ-specific cancer signs but negative diagnostic evaluations, to reproduce clinically relevant decision settings. The combined model showed improved classification performance compared with the use of clinical variables alone, particularly in patients with early-stage disease. In addition, proteomic analysis of samples stratified by thermogram patterns identified proteins associated with survival, including fibrinogen-like protein 1, supporting the biological relevance of these thermodynamic profiles. Together, these findings indicate that integrating serum thermogram information with routine clinical data can modestly strengthen diagnostic assessment and help identify biologically meaningful patient subgroups, offering a promising non-invasive colorectal cancer evaluation.

Epigenetic modulation to overcome immune suppression in pancreatic cancer

Laura Drndakova1, Lucia Juhasikova1, Ivana Hlavenova1, Verona Buocikova1, Sara Durdiakova2, Michal Mego2, Milan Buc3, Bozena Smolkova1

DOI: https://doi.org/10.1186/s13148-026-02081-5

Abstract

Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal malignancies, primarily due to its highly fibrotic and immunosuppressive tumor microenvironment (TME), which limits both drug delivery and immune cell infiltration. Epigenetic dysregulation plays a pivotal role in shaping these barriers by controlling transcriptional programs that govern tumor-immune interactions, stromal remodeling, and immune evasion.

This review synthesizes current insights into the contribution of aberrant epigenetic mechanisms to PDAC progression and immune resistance. We outline how epigenetic alterations suppress antigen presentation, sustain immunosuppressive cell populations, such as regulatory T cells, myeloid-derived suppressor cells, and tumor-associated macrophages, and upregulate immune checkpoint molecules across cancer and stromal compartments. Emerging evidence shows that epigenetic therapies targeting DNA methyltransferases, histone deacetylases, histone methyltransferases, or bromodomain proteins can restore tumor immunogenicity, reprogram cancer-associated fibroblasts, and promote cytotoxic T cell infiltration. Furthermore, combining epigenetic modulators with immune checkpoint blockade or targeted therapies has demonstrated the capacity to remodel the PDAC TME and convert immunologically ‘cold’ tumors into more responsive ones. Therefore, we also summarize key completed and ongoing clinical trials in PDAC and solid tumors, emphasizing outcomes and biomarker discoveries that support the translation of epigenetic-immunotherapy combinations into clinical practice. Finally, we discuss persistent challenges that impede progress, including poor drug penetration through the desmoplastic stroma, off-target effects and toxicity of epigenetic agents, tumor hypoxia, adaptive resistance, and the scarcity of physiologically relevant immuno-oncology models.

Findings from preclinical and early clinical studies indicate that epigenetic reprogramming represents a promising avenue to overcome PDAC immunoresistance by reactivating antigen presentation, disrupting immunosuppressive cellular networks, and enhancing antitumor immunity. However, realizing this potential will require rationally designed combination regimens, predictive biomarkers for patient stratification, and a deeper understanding of cell type-specific and context-dependent epigenetic regulation. Only through these advances can the integration of epigenetic modulation with immunotherapy and stroma-targeting approaches ultimately redefine therapeutic strategies for patients with PDAC.

Fluid shear stress enhances pancreatic cancer motility through YAP activation

Juan Deng1,2, Giulia Lencioni3,4, Aldo Pastore3,4, Adam E. Frampton5,6, Dongmei Deng7, Elisa Giovannetti1,2,8

DOI: https://doi.org/10.1186/s13148-026-02163-4

Abstract

Background
Pancreatic ductal adenocarcinoma (PDAC) has a high mortality rate due to late-stage diagnosis. Although SUIT2 sublines differ in metastatic and drug-resistant behavior, the mechanisms behind these differences are unclear. Fluid shear stress can regulate tumor cell migration, and the mechanosensitive factor yes-associated protein (YAP) promotes PDAC progression. However, the impact of shear stress on YAP signaling in PDAC cells remains unknown. This study aims to better understand how fluid shear stress influences the behavior of PDAC cells and to elucidate the mechanisms by which shear stress regulates their metastatic potential, in order to support the development of more effective therapeutic strategies.

Results
Using the BioFlux-Shear-Flow-System, we observed that under static conditions, the more metastatic SUIT2-007 cells displayed greater migratory capacity than the less metastatic SUIT2-028 cells. However, exposure to fluid shear stress significantly enhanced the migration capacity of SUIT2-028 cells. Consequently, the migratory capacities of the two cell lines became comparable under shear stress conditions. RNA-sequencing revealed differences in yes-associated protein (YAP) activation between SUIT2-028 and SUIT2-007. Functional assays using a YAP activation inhibitor and scratch assay demonstrated that inhibition of YAP activity reduced migration in both tumor cell lines and abolished the differences in their migratory capacities.

Conclusions
Our findings highlight YAP as a mechanosensitive regulator of pancreatic cancer cell migration under shear stress, offering insights into how biomechanical forces can drive metastatic capacity.

Cardiovascular Risk in Pancreatic Cancer: A Meta-Analysis of 197 Studies

Jázmin Németh1,2, Jimin Lee1, Orsolya Eperjesi1,3,4, Endre Botond Gagyi1,5,6, Zoltán Bánfalvi1,4, Veronika Lillik1,7, Ioana Creanga-Murariu1,8, Réka Tóth1, Eszter Ágnes Szalai1,9, Mahmoud Obeidat1, Szilárd Váncsa1,4, Stefania Bunduc1,2,10,11,*,†, Péter Hegyi1,2,4,12,†

1 Centre for Translational Medicine, Semmelweis University, 1085 Budapest, Hungary

2 Institute for Translational Medicine, Medical School, University of Pécs, 7622 Pécs, Hungary

3 Department of Internal Medicine, Toldy Ferenc Hospital, 2700 Cegléd, Hungary

4 Institute of Pancreatic Diseases, Semmelweis University, 1085 Budapest, Hungary

5 Department of Medical Imaging, Bajcsy-Zsilinszky Hospital and Clinic, 1106 Budapest, Hungary

6 Selye János Doctoral College for Advanced Studies, Semmelweis University, 1085 Budapest, Hungary

7 Fejér County Szent György University Teaching Hospital, 8000 Székesfehérvár, Hungary

8 Advanced Research and Development Center for Experimental Medicine (CEMEX), “Grigore T. Popa” University of Medicine and Pharmacy, 700454 Iasi, Romania

9 Department of Restorative Dentistry and Endodontics, Semmelweis University, 1085 Budapest, Hungary

10 Carol Davila University of Medicine and Pharmacy, 020021 Bucharest, Romania

11 Digestive Disease and Liver Transplant Centre, Fundeni Clinical Institute, 022328 Bucharest, Romania

12 Translational Pancreatology Research Group, Interdisciplinary Centre of Excellence for Research Development and Innovation, University of Szeged, 6720 Szeged, Hungary

* Author to whom correspondence should be addressed.

† These authors contributed equally to this work.

DOI: https://doi.org/10.3390/cancers18071108

Abstract

Background/Objectives: Cardiovascular diseases (CVDs) frequently limit the feasibility and effectiveness of cancer treatment. However, CVD burden has not been comprehensively described in pancreatic cancer. In our systematic review and meta-analysis, we evaluated the prevalence and incidence of CVDs in pancreatic ductal adenocarcinoma (PDAC). Methods: We conducted the systematic search in PubMed, EMBASE, and CENTRAL on 5 February 2024. Studies reporting the prevalence or incidence of CVDs in PDAC were included. Subgroup analyses were performed based on cancer stage and treatment type. Pooled proportions with the 95% confidence interval (CI) were calculated using a random-effects model. (PROSPERO: CRD42023482295). Results: We included 197 articles. At PDAC diagnosis, non-thrombotic cardiovascular diseases (NT-CVDs) were as prevalent as in the general population: hypertension in 33% (CI: 27–40%), ischemic heart disease in 6% (CI: 3–12%), and heart failure, arrhythmia, and stroke each in 2–3%. Their incidence during treatment remained low (1–10%). Thrombotic events, excluding pulmonary embolism, were present in 11% (CI: 7–15%) at diagnosis, with an incidence of 8–10% regardless of stage or treatment. Pulmonary embolism affected 3% at diagnosis and occurred at a similar rate during treatment. Conclusions: Thromboembolic events are common in PDAC and occur both at diagnosis and during follow-up. Their incidence remains stable across treatment modalities and disease stages, suggesting that the tumor itself is the primary driver of thrombotic risk. The prevalence of NT-CVDs in PDAC is comparable to that in the general population and shows minimal variation across cancer stages or treatment modalities.

Keywords

pancreatic cancer; cardio-vascular events; thromboembolism; meta-analysis

Bracing for the storm: emerging resistance mechanisms to KRAS inhibitors in pancreatic cancer and strategies to overcome them

Marco Pagano Mariano1,2,#, Enrica Sgarilli2,3,#, Dirk Mijnlieff3, Bonifiya Visuvasam3, Andrea Blesio2,3, Graziana Digiacomo2, Andrea Cavazzoni2, Manuela Ferracin1,4, Elisa Giovannetti3,5

DOI: https://doi.org/10.20517/cdr.2026.52

Abstract

Oncogenic KRAS mutations are a defining feature of pancreatic ductal adenocarcinoma (PDAC), one of the most lethal solid malignancies, characterized by poor responsiveness to chemotherapy. Recent clinical successes of direct KRAS inhibitors in other cancer types have renewed interest in KRAS-directed therapy for PDAC. However, early clinical experience has revealed often short-lived responses, highlighting the rapid emergence of resistance and the need to understand the mechanisms limiting durable benefit. This review summarizes current knowledge on molecular resistance to RAS-directed inhibitors in PDAC, organized into five categories: intrinsic resistance, KRAS-dependent mechanisms, KRAS-independent bypass signaling, downstream pathway reactivation, and tumor microenvironment (TME)-mediated resistance. Evidence from PDAC models is integrated with insights from other KRAS-driven malignancies, particularly non-small cell lung cancer, where direct KRAS inhibition has been studied extensively. Collectively, resistance appears to arise from layered adaptive processes rather than single alterations, including secondary KRAS mutations, receptor tyrosine kinase-driven bypass signaling, reactivation of mitogen-activated protein kinase (MAPK) and phosphoinositide 3-kinase (PI3K) pathways, stromal-mediated protection, and reduced drug exposure. Notably, until recently, most evidence in PDAC has been indirect, while direct investigation of resistance mechanisms in KRAS-targeted settings has expanded rapidly only in recent years. Building on these advances, ongoing clinical trials increasingly explore rational combination strategies targeting upstream regulators, downstream effectors, and the TME. However, critical challenges persist, including patient selection, treatment sequencing, toxicity, and the lack of pharmacodynamic frameworks. Overcoming resistance will require mechanistically guided combinations, improved disease-specific models, and biomarker-driven adaptive strategies to ultimately achieve durable clinical benefits in PDAC.

Keywords

PDAC
G12D
G12V
EMT
tumor microenvironment
autophagy
Hippo pathway
MAPK pathway

Molecular subtypes in pancreatic cancer: from academic promise to clinical reality

Daniela Mercedes D’Empaire Altimari, Michele Bevere, Elisa Espinet, Yvan Martineau, Elisa Giovannetti & Víctor Javier Sánchez-Arévalo Lobo

PMID: 41796340

DOI: https://doi.org/10.1186/s12943-026-02614-9

Mol Cancer. 2026 Mar 9.

 

Association between SIRT1 rs3758391 genetic variant and susceptibility to pancreatic and gastric cancer
Ilias Papantzimasa, Rana Ozera, Dimitrios Linardoutsosb, Emmanouil Kritsotakisc, Konstantinos Georgioub, Maria Gazoulia
Medical School, National and Kapodistrian University of Athens; Aretaieion University Hospital, National and
Kapodistrian University of Athens (NKUA), Greece

Annals of Gastroenterology (2026) 39, 1-7

DOI: https://doi.org/10.20524/aog.2026.1036

This is a collection of Publications related to our COST Action - Year 2025
Evaluating Sex Disparity in Pancreatic Ductal Adenocarcinoma Risk in the UK Biobank Cohort

Giulia Peduzzi, Roberto Pellungrini, Livia Archibugi, Federico Canzian, Cosmeri Rizzato, Gabriele Capurso, Daniele Campa

DOI: https://doi.org/10.1002/ueg2.70102

Abstract

Background
The incidence of pancreatic ductal adenocarcinoma (PDAC) is lower in females than males (19.0 vs. 20.2 for 100,000 individuals in Europe). This disparity is commonly attributed to differences in exposure to lifestyle risk factors such as smoking and alcohol consumption; however, hormonal activity may also play a role.

Objective
This study aimed to comprehensively examine the role of hormone exposure and reproductive factors in males and females in PDAC susceptibility.

Methods
We analyzed 816 PDAC cases and 302,645 controls from the UK Biobank prospective cohort. Twenty hormone-related variables and a polygenic risk score (PRS) were examined in females and males using epidemiological methods and machine learning algorithms.

Results
Oral contraceptives (OC) use increased PDAC risk (OR = 2.17 (95% CI: 1.70–2.80), p = 8.16 × 10−10), while each full-term pregnancy decreased it (OR = 0.83 (95% CI: 0.76–0.90), p = 2.60 × 10−5). In males increased level of sex hormone-binding globulin (SHBG) was associated with a decreased risk (OR = 0.98, 95% CI: 0.97–0.98, p = 7.38 × 10−10). The machine learning model performed well in both sexes, with AUCs of 0.95 and 0.92, specificity of 0.86 and 0.92 and sensitivity of 0.90 and 0.81 for females and males, respectively. The use of an explainer identified age and the PRS as significant features for both sexes, with additional factors such as age at menopause and OC use for females, and SHBG concentration in blood for males.

Conclusion
We observed a consistent protective effect of the factors that decrease-the exposure to menstrual cycle related hormones. Additionally, exogenous hormones increase due to long exposure to OC and HRT increases the risk of the disease. Therefore, our result suggests that it is more important to which hormones an individual is exposed compared to the overall increase or decrease in exposure.

Clinicopathologic relevance of EpCAM and CD44 in pancreatic cancer: insights from a meta-analysis

Bogdan Silviu Ungureanu1, Dan Ionut Gheonea1, Adina Turcu-Stiolica2, Michael Schenker3, Daniel Pirici4, Cristin-Constantin Vere1, Andrei Fierut5, Adrian Saftoiu6

DOI: https://doi.org/10.1186/s13287-025-04601-1

Abstract

Recent evidence suggests that EpCAM and CD44 could serve as diagnosis or prognosis markers in pancreatic cancer (PC). In this meta-analysis, we evaluated their associations with clinicopathologic features. Specifically, we compared immunohistochemical-positive and -negative PC patients for T stage (T3-T4 vs. T1-T2), N stage (N1 vs. N0), M stage (M1 vs. M0), tumor grade (well/moderately vs. poorly differentiated), UICC Stage (III, IV vs. I, II), and overall survival (OS). The diagnostic meta-analysis was performed analysing the pooled sensitivity and specificity and evaluating overall accuracy to indicate the diagnostic efficacy of the markers. The protocol of this systematic review and meta-analysis was registered on the PROSPERO website under the registration number of CRD42024568390. A systematic search of PubMed, Scopus, and ISI Web of Science was conducted on January 30th, 2025. The statistical analysis was performed using the Review Manager 5.4 software and R language (R package Mada and Metafor). The quality of the studies included was assessed using the Newcastle-Ottawa scale and the QUADAS-2 tool. Data from relevant studies were independently screened and extracted using Rayyan, by at least two authors. A total of 19 studies were eligible (9 studies for EpCAM, 9 studies for CD44, and 2 studies for both EpCAM and CD44), comprising a total of 1370 patients. The diagnostic meta-analysis demonstrated moderate accuracy for EpCAM (AUC, 95% CI of 0.802, 0.69–0.96). A statistically significant association was found for CD44 expression and T-status (OR = 2.04, 95%CI = 1.18–3.51), or N-stage (OR = 2.68, 95%CI = 1.86–3.85), or TNM stage (OR = 3.79, 95%CI = 2.14–6.71). CD44v6 overexpression predicted worse OS (HR = 2.33, p < 0.00001), while EpCAM + CD44 + co-expression was prognostic (HR = 2.02, p = 0.02). Heterogeneity was not observed among the studies included, but further research is warranted to better understand the clinical implications of these markers’ positivity in PC diagnosis and prognosis.

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Protocol for the creation and utilization of 3D pancreatic cancer models from circulating tumor cells

Jiajia Tang1,2,16,17, Quan Zheng1,2,16, Qi Wang1,2,16, Yaru Zhao1,2, Preeta Ananthanarayanan3, Chiara Reina3, Berina Šabanović3, Ke Jiang1,2, Ming-Hsin Yang4, Clara Csilla Meny5, Huimin Wang1,2, Mette Ø. Agerbaek6,7, Thomas Mandel Clausen6, Tobias Gustavsson6,8, Chenlei Wen9,10,11, Felice Borghi12, Alfredo Mellano12, Elisabetta Fenocchio13, Vanesa Gregorc13, Anna Sapino14, Thor G. Theander6, Da Fu9,10,11, Alexandra Aicher15, Ali Salanti6, Baiyong Shen9,10,11, Christopher Heeschen1,2,3,18

Email: Jiajia Tang — jiajia.tang@shsmu.edu.cn; Christopher Heeschen — christopher.heeschen@icloud.com.

DOI: https://doi.org/10.1016/j.xpro.2025.103635

Abstract

Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.

Highlights

• Approach for the efficient capture of circulating tumor cells (CTCs) from blood
• Steps for establishing long-term 3D organoid cultures from CTCs
• Guidelines for utilizing CTC-derived cultures in functional drug screening

Summary

We introduce a protocol for generating 3D organoids from circulating tumor cells (CTCs), enabling longitudinal functional and molecular analyses in pancreatic cancer patients, including those with unresectable disease, which constitutes the majority of cases. We outline the process for isolating and characterizing CTCs from the blood of pancreatic cancer patients and provide detailed instructions for initiating, passaging, and phenotyping CTC-derived organoids. Additionally, we describe techniques for utilizing these organoids in drug screening with a focus on stemness-related pathways.
For complete details on the use and execution of this protocol, please refer to Tang et al.1

Impact of pancreatic proenzymes on pancreatic ductal adenocarcinoma associated fibroblasts

Belén Toledo1,2, Aitor González-Titos1,3, Pablo Hernández-Camarero1, Elena López-Ruiz1,3, Carmen Griñán-Lisón3,4, Elisa Giovannetti2,5, Juan Antonio Marchal3,6,7,8, Macarena Perán1,3,8

DOI: https://doi.org/10.1038/s41598-025-24863-2

Abstract

The tumor microenvironment (TME) plays a pivotal role in tumor initiation, progression, and the formation of pre-metastatic niches. Pancreatic ductal adenocarcinoma (PDAC) is characterized by a dense fibrotic stroma containing a significant enriched population of cancer-associated fibroblasts (CAFs). The interplay between CAFs and tumor cells is crucial in driving tumor advancement and metastasis, underscoring the potential benefits of novel therapeutic strategies targeting stromal cells to improve patient survival. Pancreatic (pro)enzymes have shown efficacy in cancer treatment. In this study, we evaluated a formulation of Trypsinogen and Chymotrypsinogen A (PRP) on a model of PDAC-CAFs dynamics. Our findings demonstrated PRP multifaceted effects, including: (i) inhibition of the acquisition of a pro-tumoral phenotype by normal fibroblasts; (ii) enhanced expression of E-cadherin and decreased expression of epithelial-mesenchymal transition (EMT)-associated genes; (iii) blockade of the crosstalk between CAFs and cancer cells, leading to a decrease in the proliferation and migration rate of the pancreatic cancer cells; (iv) modulation of CAFs-induced alteration on endothelial cells; (v) induction of Meflin expression, associated with a less pro-tumoral phenotype; (vi) inhibition of the TGF-β pathway, reducing the activation of Smad2/3 proteins involved in fibroblast phenotypic alteration; (vii) selective induction of apoptosis in CAFs by PRP, as evidenced by increased expression of the BAX biomarker; (viii) impaired fibrotic tissue formation, as tested in an in vivo model of PDAC, by reducing the population of CAFs within the TME. Collectively, these results underscore the potential of PRP as a therapeutic candidate for disrupting the intricate interactions within the PDAC TME. Further research and clinical investigations are necessary to validate the translational potential of PRP as an adjunct therapy for PDAC.

PanSCOPE - Pancreatic cancer signature COllection for prognostic evaluation

Daisy J.A. Oketch, Matteo Giulietti*, Francesco Piva*

Department of Specialistic Clinical and Odontostomatological Sciences, Polytechnic University of Marche, Ancona, Italy

* Corresponding authors.

DOI: https://doi.org/10.1016/j.pan.2025.11.001

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is the most prevalent
form of pancreatic cancer and the third leading cause of cancerrelated deaths worldwide. With the advancements in sequencing
technologies, numerous transcriptomic signatures such as coding
(mRNAs) and non-coding RNAs (lncRNAs, miRNAs, circRNAs),
which can be used as prognostic, diagnostic, therapeutic, or
subtype-specific biomarkers have been revealed [1]. Despite this
progress, the lack of a centralized, PDAC-specific, clinically annotated repository of transcriptomic signatures limits their utility in
both research and clinical contexts. To address this, we developed
the Pancreatic cancer Signature COllection for Prognostic Evaluation (PanSCOPE), an online database that consolidates PDACspecific transcriptomic signatures with supporting clinical metadata. PanSCOPE aims to support basic research, single-cell RNA
sequencing (scRNA-seq) data interpretation, and biomarker discovery in PDAC, thereby advancing personalized medicine and
therapeutic development.
We conducted a comprehensive literature search on PubMed to
identify human studies from 2000 to 2025 using combinations of
“pancreatic ductal adenocarcinoma,” “transcriptomic signatures,”
“biomarkers,” and “gene expression.”
Only peer-reviewed primary research articles on human
studies reporting transcriptomic signatures with prognostic significance in PDAC were included, although certain markers may
additionally be associated with diagnostic or therapeutic relevance. Exclusion criteria involved non-PDAC cancers, animal
models, blood-based biomarkers, or studies on previously treated
patients. Techniques considered included bulk RNA-seq, microarrays, and RT-qPCR on patient-derived samples or models such as
patient-derived xenografts (PDXs) or patient-derived organoids
(PDOs).
We annotated the transcriptomic signatures with their potential prognostic and therapeutic relevance along with metadata
including gene identifiers, gene description, expression patterns
(tumor vs normal and short-vs long-term survivors), prognosis,
therapy response, clinicopathological associations, implicated
biological pathways, sample information, and references to the
supporting studies.

Keywords

Pancreatic ductal adenocarcinoma (PDAC); Single-cell RNA sequencing (scRNA-seq); Transcriptomic signatures

New Marine-Inspired Oxadiazole Derivatives for Use Against Pancreatic Ductal Adenocarcinoma

Camilla Pecoraro1, Daniela Carbone1,*, Fares Hezam Mohammed Al Ostoot1,2, Mahrou Vahabi2, Giulia Lencioni3, Patrizia Diana1, Elisa Giovannetti2,3, Barbara Parrino1

1 Dipartimento di Scienze e Tecnologie Biologiche Chimiche e Farmaceutiche (STEBICEF), Università Degli Studi di Palermo, Via Archirafi 32, 90123 Palermo, Italy

2 Department of Medical Oncology, Cancer Center Amsterdam, Amsterdam UMC, VU University Medical Center (VUmc), De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands

3 Cancer Pharmacology Laboratory, Fondazione Pisana per la Scienza, Via Ferruccio Giovannini 13, San Giuliano Terme, 56017 Pisa, Italy

* Author to whom correspondence should be addressed.

DOI: https://doi.org/10.3390/md23080327

Abstract

Pancreatic ductal adenocarcinoma (PDAC) remains one of the deadliest malignancies, with limited effective therapeutic options due to late diagnosis, aggressive progression, and rapid development of drug resistance. In pursuit of novel treatments, this study reports the design, synthesis, and biological evaluation of a new series of topsentin derivatives, featuring a 1,2,4-oxadiazole core. The newly synthesized derivatives were screened for antiproliferative activity against multiple PDAC cell lines (SUIT-2, Patu-T, and PANC-1), identifying several compounds with potent growth-inhibitory effects, particularly on SUIT-2 and Patu-T cells. Further studies demonstrated that these compounds also significantly inhibited cell migration and reduced clonogenic potential, with IC50 values in the micromolar range. The results suggest that these marine-inspired 1,2,4-oxadiazole derivatives effectively target key hallmarks of PDAC, including proliferation, migration, and colony formation, supporting their further development as promising candidates for overcoming drug resistance and metastatic progression in pancreatic cancer.

Keywords

1,2,4-oxadiazole; marine alkaloids; heterocycles; topsentin; pancreatic cancer; PDAC; antiproliferative; apoptosis; colony formation assay; drug resistance

Unraveling resistance mechanisms to the novel nucleoside analog RX-3117 in lung cancer: insights into DNA repair, cell cycle dysregulation and targeting PKMYT1 for improved therapy

Mahrou Vahabi1, Geng Xu1, Dzjemma Sarkisjan1, Btissame El Hassouni1, Giulia Mantini1, Valentina Donati2, Bing Wang1, Giulia Lencioni3, Richard J. Honeywell1, Dongmei Deng4, Sabrina Strano5, Godefridus J. Peters1,6, Giovanni Blandino5, Elisa Giovannetti1,3

DOI: https://doi.org/10.1186/s13046-025-03470-z

Abstract

Background
Nucleoside analogues are crucial in treating non-small cell lung cancer (NSCLC), but resistance hampers patient outcomes. The cytidine analogue RX-3117 shows promise in gemcitabine-resistant cancers, yet mechanisms underlying acquired resistance to this drug remain unexplored. This study includes a comprehensive investigation into RX-3117 resistance mechanisms by leveraging new preclinical models and cutting-edge genomic tools, including a CRISPR-Cas9 knockout screen and transcriptomics.

Methods
NSCLC cell lines A549 and SW1573 were exposed to stepwise increasing concentrations of RX-3117 to establish stable resistant subclones, confirmed by SRB and clonogenic assays. Intracellular RX-3117 nucleotide levels were measured via LC/MS-MS, prompting the evaluation and modulation of the expression of key metabolic enzymes by Western blot and siRNA. A CRISPR-Cas9 screen identified genes whose loss increased RX-3117 sensitivity, while RNA-sequencing with differential expression analyses revealed resistance-related pathways, further investigated through cell cycle distribution, knock-out, and ELISA assays.

Results
Resistant clones exhibited decreased accumulation of RX-3117 nucleotides, which however, was not associated to reduced expression of activation enzymes (UCK2, UMPK, CMPK, NME1/NDPK, RR1 and RR2). Instead, increased expression was observed in certain DNA repair and deactivation enzymes (NT5C3) but pharmacological inhibition and silencing of the latter did not circumvent resistance. Remarkably, a comprehensive approach with CRISPR-Cas9 screen highlighted DNA-repair and cell cycle determinants as key sensitizing genes. XL-PCR and RNA-sequencing confirmed aberrations in DNA-repair and pathways involved in cell cycle regulation. Knock-out and pharmacological inhibition validated the role of PKMYT1, a protein kinase involved in G2/M transition and genomic stability. RX-3117-resistant A549 cells showed enhanced sensitivity to the PKMYT1 inhibitor lunresertib and its synergism with RX-3117, suggesting further studies, especially in patients with high PKMYT1 expression who have significantly shorter survival rates, as observed in public databases and validated in an internal cohort of NSCLC patients.

Conclusion
By integrating CRISPR-Cas9 with functional assays and transcriptomics, our study established a framework for decoding resistance mechanisms and highlights potential therapeutic strategies to enhance RX-3117 efficacy in NSCLC. We demonstrated for the first time that aberrant DNA repair and cell cycle dysregulation led resistance, identifying PKMYT1 as a promising target.

Mechanisms of Resistance to PARPi in Pancreatic Ductal Adenocarcinoma

Jojanneke Stoof, Charlotte Andrieu, Fiona O’Connell, Jacintha O’Sullivan, Maeve A. Lowery, Naomi Walsh

DOI: https://doi.org/10.1111/jcmm.70816

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is a highly fatal disease with limited treatment options. PARP inhibitors (PARPi) have shown promise in treating PDAC with homologous recombination deficiency (HRD), but rapid acquisition of resistance limits their efficacy. Our objective is to investigate mechanisms of resistance to PARPi in BRCA2-mutant PDAC cells and identify potential therapeutic targets to modulate this resistance. We developed olaparib- and talazoparib-resistant Capan-1 cell lines and characterised their resistance profiles using viability assays, RNA sequencing and metabolomic profiling. We also developed a cisplatin-resistant Capan-1 cell line to compare resistance mechanisms between PARPi and platinum agents. Both olaparib- and talazoparib-resistant cells showed cross-resistance to other PARPi and oxaliplatin, but not to gemcitabine or 5-FU. Talazoparib-resistant cells exhibited a similar resistance profile to cisplatin-resistant cells, including decreased PARP1 expression and altered metabolomic profiles. RNA sequencing and metabolomic profiling revealed significant enrichment of metabolic pathways, including oxidative phosphorylation and glycolysis, in resistant cells. Our study highlights the complexity of resistance mechanisms to PARPi in PDAC and identifies potential therapeutic targets in metabolism. The differences in the resistance profiles between olaparib and talazoparib suggest that PARP-trapping potency may play a role in resistance development. Further research is needed to validate these findings and explore novel therapeutic strategies to overcome resistance to PARPi in PDAC.

Novel Pyrazolo [1,5-a]-1,3,5-Triazine Derivatives as CDK7 Inhibitors: Synthesis and Biological Insights in Pancreatic Ductal Adenocarcinoma Models

Daniela Carbone, Francesca Terrana, Ludovica Sciuto, Camilla Pecoraro, Geng Xu, Stella Cascioferro, Girolamo Cirrincione, Godefridus J. Peters, Elisa Giovannetti, Barbara Parrino, Patrizia Diana

DOI: https://doi.org/10.1002/cmdc.202500448

Abstract

Pancreatic ductal adenocarcinoma (PDAC), the most prevalent form of pancreatic tumor, is one of the most aggressive and lethal tumor types. Cyclin-dependent kinase 7 (CDK7) has been recently identified as a promising target in multiple human and mouse PDAC preclinical tumor models, due to significant downregulation of gene transcription and preferential inhibition of the mitotic cell cycle. With the aim of finding new CDK7 inhibitors, new indolyl and 7-aza-indolyl pyrazolo [1,5-a]−1,3,5-triazine derivatives are efficiently synthesized and screened for antiproliferative activity against three immortalized cell lines (SUIT 2.28, PATU-T, PANC-1) of PDAC. 8 out of 33 derivatives show remarkable cytotoxicity with IC50 values ranging from 0.19 to 1.58 µM and remarkable inhibition of cell migration from the earliest time point of 4 h, persisting until 24 h. The two most active compounds are further evaluated in clinically relevant models,including gemcitabine-resistant and primary cells (PATU-T GR, PDAC3), confirming their potent activity. They induce apoptosis, upregulate apoptotic gene expression, and disrupt the cell cycle, significantly reducing the viability of spheroidal PATU-T cultures. Additionally, both compounds effectively inhibit CDK7, as demonstrated by an enzyme-linked immunosorbent assay in cell extracts and by a specific enzymatic activity assay.

Efficacy of NAMPT Inhibitors in Pancreatic Cancer After Stratification by MAP17 (PDZK1IP1) Levels

Eva M. Verdugo-Sivianes1,2,3,†, Julia Martínez-Pérez1,4,†, Lola E Navas1,2, Carmen Sáez1,5, Amancio Carnero1,2,*

1 Instituto de Biomedicina de Sevilla (IBIS), Hospital Universitario Virgen del Rocío (HUVR), Consejo Superior de Investigaciones Científicas, Universidad de Sevilla, 41013 Seville, Spain

2 CIBERONC, Instituto de Salud Carlos III, 28029 Madrid, Spain

3 Departamento de Ciencias de la Salud y Biomédicas, Facultad de Ciencias de la Salud, Universidad Loyola Andalucía, Avda. de las Universidades s/n, Dos Hermanas, 41704 Sevilla, Spain

4 Oncology Department, Hospital Universitario Virgen del Rocío, 41013 Seville, Spain

5 Pathology Department, Hospital Universitario Virgen del Rocío, 41013 Seville, Spain

* Author to whom correspondence should be addressed.

† These authors contributed equally to this work.

DOI: https://doi.org/10.3390/cancers17152575

Abstract

Background/Objectives: Pancreatic cancer (PC) is the seventh leading cause of cancer-related deaths worldwide, with its incidence rising each year. Despite its relatively low incidence, the aggressiveness of pancreatic cancer results in high mortality, with only 12% of patients surviving five years post-diagnosis. Surgical resection remains the only potentially curative treatment, but the tumor is often diagnosed at an advanced stage. The goal of this work is to identify vulnerabilities that can affect the efficacy of treatments and improve the efficacy of therapy. Methods: MAP17 overexpression in pancreatic cancer cell lines, RT-qPCR analysis, xenografts, in vitro and in vivo treatments, analysis of data from pancreatic tumors in transcriptomic patient databases. Results: We studied the prognostic and predictive value of MAP17 (PDZK1IP1) expression in pancreatic cancer, and we found that high MAP17 mRNA expression was associated with poor prognosis. In addition, single-cell analysis revealed that high MAP17 expression was present only in tumor cells. We investigated whether the response to various antitumor agents depended on MAP17 expression. In 2D culture, MAP17-expressing pancreatic cancer cells responded better to gemcitabine and 5-fluorouracil. However, in vivo xenograft tumors with MAP17 expression showed resistance to all treatments. Additionally, MAP17-expressing cells had a high NAD pool, which seems to be effectively depleted in vivo by NAMPT inhibitors, the primary enzyme for NAD biosynthesis. Conclusions: Our findings suggest that MAP17 expression could enhance the prognostic stratification of pancreatic cancer patients. Moreover, the coadministration of NAMPT inhibitors with current treatments may sensitize tumors with high MAP17 expression to chemotherapy and improve the efficacy of chemotherapy.

Keywords

pancreatic cancer; prognosis; MAP17; NAD; biomarkers; chemotherapy

Aurora kinase A inhibition as a synthetic lethality strategy in ARID1A-mutated gastroenteropancreatic neuroendocrine carcinoma

Maria Urbanovaa,1, Fabrice Violb,c,1,*, Laura Ruiz-Cañasd,e,1, Efthymios Koniarisf,1, Rihards Saksisg,1, Sandra Batres-Ramosd,e, Julie Earld, Agapi Katakih, Verona Buocikovaa, Monika Burikovaa, Marina Cihovaa, Lucia Rojikovaa, Peter Makovickya, Miroslava Matuskovaa, Yvonne Kohli, Andrea Riedmayeri, Marianna Makovaj,k, Ladislav Baciakj, Daniel Gogolak, Olesja Rogozag, Vita Roviteg, Bruno Sainz Jr.d,e,*, Bozena Smolkovaa,2,*, Joerg Schraderb,2,*

a Biomedical Research Center, Slovak Academy of Sciences, 845 05 Bratislava, Slovakia

b Medical Department, University Medical Center Hamburg-Eppendorf, D-20246, Hamburg, Germany

c Mildred Scheel Cancer Career Center HaTriCS4, University Medical Center Hamburg Eppendorf, 20246, Hamburg, Germany

d Ramón y Cajal Health Research Institute (IRYCIS), Ramón y Cajal University Hospital. Ctra. Colmenar Viejo, 28034, Madrid, Spain

e Department of Cancer, Instituto de Investigaciones Biomedicas Sols-Morreale (IIBM), CSIC-UAM, 28029, Madrid, Spain

f Department of Pathology, Hippokration General, Hospital of Athens, Athens, 11527, Greece

g Latvian Biomedical Research and Study Centre, Ratsupites Str 1-k1, LV-1067, Riga, Latvia

h First Department of Propaedeutic Surgery, Hippokration General Hospital of Athens, Athens, 11527, Greece

i Department Bioprocessing & Bioanalytics, Fraunhofer Institute for Biomedical Engineering IBMT, 66280, Sulzbach, Germany

j Faculty of Chemical and Food Technology, Slovak University of Technology, 812 37, Bratislava, Slovakia

k Institute of Measurement Science, Slovak Academy of Sciences, 841 04, Bratislava, Slovakia

* Corresponding authors.

DOI: https://doi.org/10.1016/j.canlet.2025.218033

Abstract

Chemotherapy with cisplatin (CDDP) and etoposide (ETO) is the standard treatment for gastroenteropancreatic neuroendocrine carcinoma (GEP-NEC). Despite high initial response rates, treatment-related toxicity and acquired resistance remain significant clinical challenges. No molecularly targeted therapies are currently established for this aggressive cancer. Here, we evaluated Aurora kinase inhibition with alisertib (ALI) as a synthetic lethality strategy in ARID1A-deficient GEP-NEC. Subcutaneous and orthotopic xenograft models were established in immunodeficient mice using the GEP-NEC-derived NT-38 cell line, and the therapeutic efficacy of ALI was compared with CDDP + ETO. Tumor responses were assessed by immunohistochemistry, Western blotting, and RNA sequencing. To confirm ARID1A dependency, transient knockdown was induced in the pancreatic neuroendocrine NT-18LM cell line, demonstrating that ALI sensitivity is significantly enhanced in ARID1A-deficient cells. ALI achieved antitumor efficacy comparable to chemotherapy and was well tolerated, with minimal weight loss relative to CDDP + ETO. Distant metastases, an early feature of GEP-NEC, developed in five animals over six weeks, two of which were treated with ALI and three controls. Transcriptomic profiling revealed convergence of both treatments on signal transduction, focal adhesion, receptor tyrosine kinase, and VEGFA-VEGFR2 signaling, while ALI uniquely enriched pathways related to pancreatic secretion, lipid metabolism, protein processing in the endoplasmic reticulum, and extracellular matrix organization. These findings establish Aurora kinase inhibition as mechanistically distinct and selectively effective in ARID1A-deficient GEP-NEC. Given its efficacy, favorable tolerability, and ARID1A-dependent specificity, ALI may represent a promising alternative to platinum-based chemotherapy, offering a strong rationale for further development of mechanism-driven combination strategies for GEP-NEC.

Keywords

Gastroenteropancreatic neuroendocrine carcinoma; ARID1A; Synthetic lethality; Chromatin remodeling; Alisertib

Human Milk Oligosaccharides Multivalently Presented on Defined Synthetic Neo-Glycoproteins Are Nanomolar Ligands of Tandem-Repeat Galectins

Jakub Červený, Viktoria Heine, Michaela Hovorková, Petr Brož, Eliška Filipová, Natalia Kulik, Martin Hubálek, Josef Cvačka, Lucie Petrásková, Mirane Florencio-Zabaleta, Sandra Delgado, Helena Pelantová, Zuzana Bosáková, Lothar Elling, Jesus Jiménez-Barbero, Ana Ardá, Vladimír Křen, Pavla Bojarová*

DOI: https://doi.org/10.1021/acs.biomac.5c00377

 

Prevalence of New-Onset Diabetes in Patients Undergoing Pancreatic Surgery and the Association of Glucose Dysregulation With Complications in Pancreatic Cancer

Martyn Stott†, Irena Stefanova†, Lucy Oldfield*, Anthony Evans*, James Birch-Ford*, Rohith Rao†, William Greenhalf*, Christopher Halloran†, Eithne Costello*

* Department of Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool, UK

† Department of Pancreatic Surgery, Liverpool University Hospitals Foundation Trust, Liverpool, UK.

Received: 25 April 2025; Accepted: 12 May 2025

Published online: 11 June 2025

Martyn Stott and Irena Stefanova contributed equally and should be considered first coauthors.

Disclosure: The authors declare that they have nothing to disclose.

This work was supported by Cancer Research UK, grant number C7690/A26881, Pancreatic Cancer UK, and TRANSPAN CA21116. C.H. has funding from NHSE, NIHR and LUHFT.

Reprints: Eithne Costello, PhD, Department of Molecular and Clinical Cancer Medicine, University of Liverpool, Ashton Street, Liverpool L69 3GE, UK. Email: ecostell@liverpool.ac.uk.

DOI: https://doi.org/10.1097/as9.0000000000000584

 

Potential for Clinical Management of Pancreatic Cancer Through Whole Exome Profiling of Site-Specific Metastases and Matched Primary Tumors

Martin Loveceka, Ondrej Strouhalb, Lenka Cervenkovac, Simona Susovac,d, Viktor Hlavacc,d, Magdalena Chottova Dvorakovac,e, Petr Holýc,d, Vaclav Liskac,f, Pavel Skalickýa, Daniela Skanderovag, Ales Langerb, Beatrice Mohelníkova-Duchonovab,*, Pavel Soucekc,d,*

a Department of Surgery, Faculty of Medicine and University Hospital, Palacky University, Olomouc, Czech Republic; b Department of Oncology, Faculty of Medicine and University Hospital, Palacky University, Olomouc, Czech Republic; c Biomedical Center, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic; d Toxicogenomics Unit, National Institute of Public Health, Prague, Czech Republic; e Department of Physiology, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic; f Department of Surgery, Faculty of Medicine and University Hospital in Pilsen, Charles University, Pilsen, Czech Republic; g Department of Clinical and Molecular Pathology, Faculty of Medicine and University Hospital, Palacky University, Olomouc, Czech Republic

DOI: https://doi.org/10.1016/j.labinv.2025.104205

Lab Invest 105 (2025) 104205

 

Serum-Based Detection of Pancreatic and Ovarian Cancer via a Nanoparticle-Enhanced Fluorescence Array and Machine Learning
Morcuende-Ventura V, Sánchez-Gracia O, Abian-Franco N, Jiménez-Pardo I, Herrer L, Castillo-Vallés M, Lancelot A, Falcó-Martí FJ, Hermoso-Durán S, Pazo-Cid R, Lanas Á, Velazquez-Campoy A, Sierra T, Abian O.
Anal Chem. 2025 Jul 8;97(26):13850-13860

DOI: https://doi.org/10.1021/acs.analchem.5c00974

Epub 2025 Jun 23

PMID: 40548849

PMCID: PMC12242897

 

Perineural Invasion in Pancreatic Ductal Adenocarcinoma: Recapitulating Its Importance and Defining Future Directions
Graphical Abstract

Raman spectroscopy based diagnosis of pancreatic ductal adenocarcinoma

Gianmarco Lazzini  1, Raffele Gaeta  2, Luca Emanuele Pollina  2, Annalisa Comandatore  3  4, Niccolò Furbetta  4, Luca Morelli  4, Mario D’Acunto  5

Pancreatic ductal adenocarcinoma is currently the 12th most frequent form of cancer worldwide, characterized by a very low 5-year survival rate. Although several therapeutic approaches have been proposed to treat this form of pancreatic cancer, surgical resection is still commonly recognized as the most effective technique to slow down the disease progression and maximize the 5-year survival rate. Analogously, one critical issue is the ability of current diagnostic methodologies to distinguish between irregular growth of the tumor mass and surrounding inflammatory tissues. In this pilot study, we apply Raman spectroscopy, supported by a series of machine learning techniques, to distinguish among healthy, pancreatitis and ductal adenocarcinoma tissues, respectively, for a total of 15 cases. Raman spectroscopy is a label-free, non-destructive spectral technique exploiting Raman scattering. In turn, by applying a combination of principal component analysis and random forest classifier on the Raman spectral dataset, we achieved a maximum accuracy of up to    96%. Our findings clearly indicate that Raman spectroscopy could become a powerful spectral technique to support pathologists in improving pancreatic cancer diagnosis.

Keywords:  Gaussian Naive-Bayes; Pancreatic ductal adenocarcinoma; Raman spectroscopy; Random forest classifier; SPectral SELection.

© 2025. The Author(s).

Polymorphisms within autophagy-related genes as susceptibility biomarkers for pancreatic cancer: A meta-analysis of three large European cohorts and functional characterization
Fernando Gálvez-Montosa 1, Giulia Peduzzi 2, José Manuel Sanchez-Maldonado 3 4 5 6, Rob Ter Horst 7 8, Antonio J Cabrera-Serrano 4 5, Manuel Gentiluomo 2, Angelica Macauda 6, Natalia Luque 1, Pelin Ünal 6, Francisco José García-Verdejo 1, Yang Li 7 8, José Antonio López López 1, Angelika Stein 6, H Bas Bueno-de-Mesquita # 9, Paolo Giorgio Arcidiacono 10, Dalila Luciola Zanette 11, Christoph Kahlert 12, Francesco Perri 13, Pavel Soucek 14, Renata Talar-Wojnarowska 15, George E Theodoropoulos 16, Jakob R Izbicki 17, Hussein Tamás 18 19, Hanneke Van Laarhoven 20 21, Gennaro Nappo 22 23, Maria Chiara Petrone 10, Martin Lovecek 24, Roel C H Vermeulen 25, Kestutis Adamonis 26, Fernando Jesus Reyes-Zurita 3, Bernd Holleczek 27 28, Jolanta Sumskiene 26, Beatrice Mohelníková-Duchoňová 29, Rita T Lawlor 30 31, Raffaele Pezzilli 32, Mateus Nobrega Aoki 11, Claudio Pasquali 33, Vitalija Petrenkiene 26, Daniela Basso 34, Stefania Bunduc 18 19 35 36, Annalisa Comandatore 37, Hermann Brenner 28 38, Stefano Ermini 2, Giuseppe Vanella 39 40, Mara R Goetz 17, Livia Archibugi 39 40, Maurizio Lucchesi 41, Faik Guntac Uzunoglu 17, Olivier Busch 21 42, Anna Caterina Milanetto 33, Marta Puzzono 43, Juozas Kupcinskas 26, Luca Morelli 37, Cosimo Sperti 33, Silvia Carrara 44, Gabriele Capurso 39 40, Casper H J van Eijck 45, Martin Oliverius 46, Susanne Roth 12, Francesca Tavano 13, Rudolf Kaaks 47, Andrea Szentesi 48, Ludmila Vodickova 49 50 51, Claudio Luchini 30 52, Ben Schöttker 28, Stefano Landi 2, Orsolya Dohan 19, Matteo Tacelli 10, William Greenhalf 53, Maria Gazouli 54, John P Neoptolemos 12, Giulia Martina Cavestro 43, Ugo Boggi 55, Anna Latiano 13, Péter Hegyi 18 19 48 56, Laura Ginocchi 41, Mihai G Netea 57 58, Pedro Sánchez-Rovira 1, Federico Canzian 6, Daniele Campa 2, Juan Sainz 3 4 5 59
Int J Cancer. 2025 Jan 15;156(2):339-352

https://doi.org/10.1002/ijc.35196

Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancers with patients having unresectable or metastatic disease at diagnosis, with poor prognosis and very short survival. Given that genetic variation within autophagy-related genes influences autophagic flux and susceptibility to solid cancers, we decided to investigate whether 55,583 single nucleotide polymorphisms (SNPs) within 234 autophagy-related genes could influence the risk of developing PDAC in three large independent cohorts of European ancestry including 12,754 PDAC cases and 324,926 controls. The meta-analysis of these populations identified, for the first time, the association of the BIDrs9604789 variant with an increased risk of developing the disease (ORMeta = 1.31, p = 9.67 × 10-6). We also confirmed the association of TP63rs1515496 and TP63rs35389543 variants with PDAC risk (OR = 0.89, p = 6.27 × 10-8 and OR = 1.16, p = 2.74 × 10-5). Although it is known that BID induces autophagy and TP63 promotes cell growth, cell motility and invasion, we also found that carriers of the TP63rs1515496G allele had increased numbers of FOXP3+ Helios+ T regulatory cells and CD45RA+ T regulatory cells (p = 7.67 × 10-4 and p = 1.56 × 10-3), but also decreased levels of CD4+ T regulatory cells (p = 7.86 × 10-4). These results were in agreement with research suggesting that the TP63rs1515496 variant alters binding sites for FOXA1 and CTCF, which are transcription factors involved in modulating specific subsets of regulatory T cells. In conclusion, this study identifies BID as new susceptibility locus for PDAC and confirms previous studies suggesting that the TP63 gene is involved in the development of PDAC. This study also suggests new pathogenic mechanisms of the TP63 locus in PDAC.

This is a collection of Publications related to our COST Action - Year 2024
MEG8 as an antagonistic pleiotropic mechanism in breast cancer

Eva M. Verdugo-Sivianes1,2,6, Asunción Espinosa-Sánchez1,2, Ildefonso Cases3, Ana M. Rojas3, Daniel Otero-Albiol1,2, Lourdes Romero4,5, José Ramón Blanco4,5, Amancio Carnero1,2

https://doi.org/10.1038/s41420-024-02272-0

Abstract

Cellular senescence connects aging and cancer. Cellular senescence is a common program activated by cells in response to various types of stress. During this process, cells lose their proliferative capacity and undergo distinct morphological and metabolic changes. Senescence itself constitutes a tumor suppression mechanism and plays a significant role in organismal aging by promoting chronic inflammation. Additionally, age is one of the major risk factors for developing breast cancer. Therefore, while senescence can suppress tumor development early in life, it can also lead to an aging process that drives the development of age-related pathologies, suggesting an antagonistic pleiotropic effect. In this work, we identified Rian/MEG8 as a potential biomarker connecting aging and breast cancer for the first time. We found that Rian/MEG8 expression decreases with age; however, it is high in mice that age prematurely. We also observed decreased MEG8 expression in breast tumors compared to normal tissue. Furthermore, MEG8 overexpression reduced the proliferative and stemness properties of breast cancer cells both in vitro and in vivo by activating apoptosis. MEG8 could exemplify the antagonistic pleiotropic theory, where senescence is beneficial early in life as a tumor suppression mechanism due to increased MEG8, resulting in fewer breast tumors at an early age. Conversely, this effect could be detrimental later in life due to aging and cancer, when MEG8 is reduced and loses its tumor-suppressive role.

The Exon Junction Complex component EIF4A3 plays a splicing-linked oncogenic role in pancreatic ductal adenocarcinoma

Ricardo Blázquez-Encinas1,2,3, Emilia Alors-Pérez1,2,3, María Trinidad Moreno-Montilla1,2,3, Víctor García-Vioque1,2,3, Marina Esther Sánchez-Frías1,3,4, Andrea Mafficini5,6, Juan L. López-Cánovas1,2,3, Corinne Bousquet7, Manuel D. Gahete1,2,3,8, Rita T. Lawlor5,6, Raúl M. Luque1,2,3,8, Aldo Scarpa6,9, Álvaro Arjona‐Sánchez1,3,10, Sergio Pedraza-Arevalo1,2,3, Alejandro Ibáñez-Costa1,2,3, Justo P. Castaño1,2,3,8

https://doi.org/10.1038/s41417-024-00814-3

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancers, underscoring the urgent need for in-depth biological research. The phenomenon of alternative RNA splicing dysregulation is a common hallmark in cancer, including PDAC, presenting new avenues for understanding and developing diagnostic and therapeutic tools. Our research focuses on EIF4A3, a core component of the Exon Junction Complex intimately linked to RNA splicing, and its role in PDAC. EIF4A3 is overexpressed in PDAC tissue and associated to clinical parameters of malignancy and poorer patient survival. Mechanistically, exploration of PDAC RNA-seq data unveiled the link of EIF4A3 to diverse malignancy processes, consistent with its association to key molecular pathways. EIF4A3 targeting in vitro decreased essential functional tumor features such as proliferation, migration, colony formation and sphere formation, while its in vivo targeting reduced tumor growth. EIF4A3 silencing in PDAC cell lines severely altered its transcriptional and spliceosomic landscapes, as shown by RNA-seq analyses, suggesting a role for EIF4A3 in maintaining RNA homeostasis. Our results indicate that EIF4A3 dysregulation in PDAC has a pleiotropic regulatory role on RNA biology, influencing key cellular functions. This paves the way to explore its potential as novel biomarker and actionable target candidate for this lethal cancer.

Physical Activity, Sedentary Behavior, and Pancreatic Cancer Risk: A Mendelian Randomization Study

Manuel Gentiluomo, Suzanne C Dixon-Suen, Riccardo Farinella, Giulia Peduzzi, Federico Canzian, Roger L Milne, Brigid M Lynch, Daniele Campa

Journal of the Endocrine Society vol. 8,4 bvae017. 29 Feb. 2024

https://doi.org/10.1210/jendso/bvae017

Pancreatic cancer is currently the seventh leading cause of cancer death worldwide. Understanding whether modifiable factors increase or decrease the risk of this disease is central to facilitating primary prevention. Several epidemiological studies have described the benefits of physical activity, and the risks associated with sedentary behavior, in relation to cancer. This study aimed to assess evidence of causal effects of physical activity and sedentary behavior on pancreatic cancer risk. We conducted a two-sample Mendelian randomization study using publicly available data for genetic variants associated with physical activity and sedentary behavior traits and genetic data from the Pancreatic Cancer Cohort Consortium (PanScan), the Pancreatic Cancer Case-Control Consortium (PanC4), and the FinnGen study for a total of 10 018 pancreatic cancer cases and 266 638 controls. We also investigated the role of body mass index (BMI) as a possible mediator between physical activity and sedentary traits and risk of developing pancreatic cancer. We found evidence of a causal association between genetically determined hours spent watching television (hours per day) and increased risk of pancreatic cancer for each hour increment (PanScan-PanC4 odds ratio = 1.52, 95% confidence interval 1.17-1.98, P = .002). Additionally, mediation analysis showed that genetically determined television-watching time was strongly associated with BMI, and the estimated proportion of the effect of television-watching time on pancreatic cancer risk mediated by BMI was 54%. This study reports the first Mendelian randomization-based evidence of a causal association between a measure of sedentary behavior (television-watching time) and risk of pancreatic cancer and that this is strongly mediated by BMI.

Potential association between PSCA rs2976395 functional variant and pancreatic cancer risk

Chiara Corradi, Giulia Lencioni, Alessio Felici, Cosmeri Rizzato, Manuel Gentiluomo, Stefano Ermini, Livia Archibugi, Antanas Mickevicius, Maurizio Lucchesi, Ewa Malecka-Wojciesko, Daniela Basso, Paolo Giorgio Arcidiacono, Maria Chiara Petrone, Silvia Carrara, Mara Götz, Stefania Bunduc, Bernd Holleczek, Mateus Nóbrega Aoki, Faik G. Uzunoglu, Dalila Lucíola Zanette, Andrea Mambrini, Krzysztof Jamroziak, Martin Oliverius, Martin Lovecek, Giulia Martina Cavestro, Anna Caterina Milanetto, Giulia Peduzzi, Beatrice Mohelnikova Duchonova, Jakob R. Izbicki, Rimantas Zalinkevicius, Viktor Hlavac, Casper H. J. van Eijck, Hermann Brenner, Giuseppe Vanella, Klara Vokacova, Pavel Soucek, Francesca Tavano, Francesco Perri, Gabriele Capurso, Tamás Hussein, Mindaugas Kiudelis, Juozas Kupcinskas, Olivier R. Busch, Luca Morelli, George E. Theodoropoulos, Sabrina Gloria Giulia Testoni, Kestutis Adamonis, John P. Neoptolemos, Maria Gazouli, Claudio Pasquali, Zita Kormos, Pavel Skalicky, Raffaele Pezzilli, Cosimo Sperti, Emanuele Kauffmann, Markus W. Büchler, Ben Schöttker, Péter Hegyi, Giovanni Capretti, Rita T. Lawlor, Federico Canzian, Daniele Campa

International journal of cancer vol. 155,8 (2024): 1432-1442

https://doi.org/10.1002/ijc.35046

Correlated regions of systemic interindividual variation (CoRSIV) represent a small proportion of the human genome showing DNA methylation patterns that are the same in all human tissues, are different among individuals, and are partially regulated by genetic variants in cis. In this study we aimed at investigating single-nucleotide polymorphisms (SNPs) within CoRSIVs and their involvement with pancreatic ductal adenocarcinoma (PDAC) risk. We analyzed 29,099 CoRSIV-SNPs and 133,615 CoRSIV-mQTLs in 14,394 cases and 247,022 controls of European and Asian descent. We observed that the A allele of the rs2976395 SNP was associated with increased PDAC risk in Europeans (p = 2.81 × 10−5). This SNP lies in the prostate stem cell antigen gene and is in perfect linkage disequilibrium with a variant (rs2294008) that has been reported to be associated with risk of many other cancer types. The A allele is associated with the DNA methylation level of the gene according to the PanCan-meQTL database and with overexpression according to QTLbase. The expression of the gene has been observed to be deregulated in many tumors of the gastrointestinal tract including pancreatic cancer; however, functional studies are needed to elucidate the function relevance of the association.

Genetically predicted gut bacteria, circulating bacteria-associated metabolites and pancreatic ductal adenocarcinoma: a Mendelian randomisation study

Neil Daniel, Riccardo Farinella, Anastasia Chrysovalantou Chatziioannou, Mazda Jenab, Ana-Lucia Mayén, Cosmeri Rizzato, Flavia Belluomini, Federico Canzian, Arianna Tavanti, Pekka Keski-Rahkonen, David J. Hughes & Daniele Campa

Sci Rep 14, 25144 (2024)

https://doi.org/10.1038/s41598-024-77431-5

Pancreatic ductal adenocarcinoma (PDAC) has high mortality and rising incidence rates. Recent data indicate that the gut microbiome and associated metabolites may play a role in the development of PDAC. To complement and inform observational studies, we investigated associations of genetically predicted abundances of individual gut bacteria and genetically predicted circulating concentrations of microbiome-associated metabolites with PDAC using Mendelian randomisation (MR). Gut microbiome-associated metabolites were identified through a comprehensive search of Pubmed, Exposome Explorer and Human Metabolome Database. Single Nucleotide Polymorphisms (SNPs) associated by Genome-Wide Association Studies (GWAS) with circulating levels of 109 of these metabolites were collated from Pubmed and the GWAS catalogue. SNPs for 119 taxonomically defined gut genera were selected from a meta-analysis performed by the MiBioGen consortium. Two-sample MR was conducted using GWAS summary statistics from the Pancreatic Cancer Cohort Consortium (PanScan) and the Pancreatic Cancer Case-Control Consortium (PanC4), including a total of 8,769 cases and 7,055 controls. Inverse variance-weighted MR analyses were performed along with sensitivity analyses to assess potential violations of MR assumptions. Nominally significant associations were noted for genetically predicted circulating concentrations of mannitol (odds ratio per standard deviation [ORSD] = 0.97; 95% confidence interval [CI]: 0.95–0.99, p = 0.006), methionine (ORSD= 0.97; 95%CI: 0.94-1.00, p = 0.031), stearic acid (ORSD= 0.93; 95%CI: 0.87–0.99, p = 0.027), carnitine = (ORSD=1.01; 95% CI: 1.00-1.03, p = 0.027), hippuric acid (ORSD= 1.02; 95%CI: 1.00-1.04, p = 0.038) and 3-methylhistidine (ORSD= 1.05; 95%CI: 1.01–1.10, p = 0.02). Two gut microbiome genera were associated with reduced PDAC risk; Clostridium sensu stricto 1 (OR: 0.88; 95%CI: 0.78–0.99, p = 0.027) and Romboutsia (OR: 0.87; 95%CI: 0.80–0.96, p = 0.004). These results, though based only on genetically predicted gut microbiome characteristics and circulating bacteria-related metabolite concentrations, provide evidence for causal associations with pancreatic carcinogenesis.

An integrative RNA spliceosomic landscape of pancreatic neuroendocrine tumors unveils novel clinicomolecular associations

Ricardo Blázquez-Encinas, Víctor García-Vioque, Andrea Mafficini, Luca Landoni, María Trinidad Moreno-Montilla,  Nicolas Alcala, Sebastián Ventura, Eduardo Eyras, Salvatore Paiella, Roberto Salvia, Vita Rovite, Matthieu Foll, Claudio Luchini, Lynnette Fernandez-Cuesta, Rita T. Lawlor, Aldo Scarpa,  Alejandro Ibáñez-Costa, Sergio Pedraza-Arevalo, Justo P. Castaño

bioRxiv preprint

https://doi.org/10.1101/2024.10.30.621040

Alterations in alternative splicing are emerging as a novel hallmark in cancer biology, offering new insights. However, integrative analyses of splicing are still scarce, particularly in rare cancers such as pancreatic neuroendocrine tumors (PanNETs). These tumors are highly heterogeneous, complicating diagnosis and treatment. This study is the first to comprehensively investigate the RNA splicing landscape in PanNETs, identifying distinct spliceosomic profiles correlated with unique clinical and molecular characteristics. We analyzed RNA-seq data from 174 samples, identifying three distinct spliceosomic groups (SPN1, SPN2, SPN3) with unique clinical and molecular characteristics. SPN1 exhibited intermediate clinical features and specific splicing machinery profile, SPN2 was associated with frequent mutations in MEN1 and DAXX/ATRX genes, and SPN3 showed a prevalence of well-differentiated tumors with distinct splicing patterns. These groups were linked to different clinical outcomes and activated key biological processes like mTOR signaling and hormone secretion pathways. Our findings underscore the significant impact of RNA splicing on PanNET heterogeneity and suggest that detailed splicing profiles could serve as valuable tools for identifying novel biomarkers and therapeutic targets. This study provides crucial insights into PanNET molecular biology and paves the way for personalized therapies based on splicing features.

Thermal Liquid Biopsy: A Promising Tool for the Differential Diagnosis of Pancreatic Cystic Lesions and Malignancy Detection

Judith Millastre, Sonia Hermoso-Durán, María Ortiz de Solórzano, Nicolas Fraunhoffer, Guillermo García-Rayado, Sonia Vega, Luis Bujanda, Carlos Sostres, Ángel Lanas, Adrián Velázquez-Campoy, Olga Abian

Cancers 2024, 16, 4024

https://doi.org/10.3390/cancers16234024

Mucinous epithelial pancreatic cystic lesions (PCLs) are premalignant lesions detectable through imaging techniques; however, distinguishing them from other PCLs with lower malignancy potential is challenging. Current methods like biochemical markers and genomic studies are not always reliable. Thermal liquid biopsy (TLB) is an innovative tool that analyzes the thermal profile of biological samples to detect disease-related alterations. In a retrospective study of 35 intracystic fluid samples obtained via fine needle aspiration, predictive models were developed using machine learning algorithms. Two classification models were created: TLB1, which differentiates mucinous from non-mucinous PCLs, demonstrating 92% sensitivity and 86% negative predictive value, and TLB2, which identifies benign and malignant mucinous lesions, achieving an area under the curve of 1.00. TLB shows promise in improving the differential diagnosis of PCLs and in detecting malignant transformations.

Darifenacin: a promising chitinase 3-like 1 inhibitor to tackle drug resistance in pancreatic ductal adenocarcinoma

Sofia M. Sousa, Helena Branco, Amir Avan, Andreia Palmeira, Luca Morelli, Lúcio L. Santos, Elisa Giovannetti, M. Helena Vasconcelos & Cristina P. R. Xavier

Cancer Chemother Pharmacol 94, 585–597 (2024)

https://doi.org/10.1007/s00280-024-04712-1

Pancreatic ductal adenocarcinoma (PDAC) is among the most aggressive malignancies. Our previous work revealed Chitinase 3-like 1 (CHI3L1) involvement in PDAC resistance to gemcitabine, identifying it as a promising therapeutic target. Here, we aimed to identify putative CHI3L1 inhibitors and to investigate their chemosensitizing potential in PDAC.

Prognostic value of microRNA-21 in intra- and extrahepatic cholangiocarcinoma after radical resection: cohort study

Lenka N C Boyd, Mahsoem Ali, Annalisa Comandatore, Giovanni Brandi, Simona Tavolari, Raffaele Gaeta, Laura L Meijer, Tessa Y S Le Large, Mattia Riefolo, Francesco Vasuri, Luca Morelli, Hanneke W M van Laarhoven, Elisa Giovannetti, Geert Kazemier, Ingrid Garajová

BJS Open, Volume 8, Issue 2, April 2024

https://doi.org/10.1093/bjsopen/zrae031

The clinical outcomes of patients with cholangiocarcinoma are poor, with a median survival of 17–38 months after resection, depending on the anatomical location of the primary tumour and the presence of high-risk features (for example positive resection margins and lymph node metastases)1,2.

Incorporating biomarkers such as microRNAs into prognostic models for cholangiocarcinoma might improve patient risk assessment, enable personalized clinical decision-making and provide more precise prognosis estimates. A previous meta-analysis identified microRNA-21 (miR-21) as an ‘ideal prognostic marker for clinical decision-making’ but it did not compare its performance with commonly used clinicopathological variables such as resection margin and tumour grade. Previous studies revealed that the prognostic value of a novel biomarker can be substantially reduced after correcting for commonly measured prognostic variables3–5.

The aim of this study was to assess the association between miRNA-21 and overall survival (OS) in cholangiocarcinoma and assess its performance in prognostic prediction models.

Deciphering the performance of macrophages in tumour microenvironment: a call for precision immunotherapy

Belén Toledo, Linrui Zhu Chen, María Paniagua-Sancho, Juan Antonio Marchal, Macarena Perán & Elisa Giovannetti

Journal of hematology & oncology vol. 17,1 44. 11 Jun. 2024

https://doi.org/10.1186/s13045-024-01559-0

Macrophages infiltrating tumour tissues or residing in the microenvironment of solid tumours are known as tumour-associated macrophages (TAMs). These specialized immune cells play crucial roles in tumour growth, angiogenesis, immune regulation, metastasis, and chemoresistance. TAMs encompass various subpopulations, primarily classified into M1 and M2 subtypes based on their differentiation and activities. M1 macrophages, characterized by a pro-inflammatory phenotype, exert anti-tumoural effects, while M2 macrophages, with an anti-inflammatory phenotype, function as protumoural regulators. These highly versatile cells respond to stimuli from tumour cells and other constituents within the tumour microenvironment (TME), such as growth factors, cytokines, chemokines, and enzymes. These stimuli induce their polarization towards one phenotype or another, leading to complex interactions with TME components and influencing both pro-tumour and anti-tumour processes.

This review comprehensively and deeply covers the literature on macrophages, their origin and function as well as the intricate interplay between macrophages and the TME, influencing the dual nature of TAMs in promoting both pro- and anti-tumour processes. Moreover, the review delves into the primary pathways implicated in macrophage polarization, examining the diverse stimuli that regulate this process. These stimuli play a crucial role in shaping the phenotype and functions of macrophages. In addition, the advantages and limitations of current macrophage based clinical interventions are reviewed, including enhancing TAM phagocytosis, inducing TAM exhaustion, inhibiting TAM recruitment, and polarizing TAMs towards an M1-like phenotype. In conclusion, while the treatment strategies targeting macrophages in precision medicine show promise, overcoming several obstacles is still necessary to achieve an accessible and efficient immunotherapy.

Unravelling the complexities of resistance mechanism in pancreatic cancer: Insights from in vitro and ex-vivo model systems

Giulia Lencioni, Alessandro Gregori, Belén Toledo, Rita Rebelo, Benoît Immordino, Manoj Amrutkar, Cristina P.R. Xavier, Anja Kocijančič, Deo Prakash Pandey, Macarena Perán, Justo P. Castaño, Naomi Walsh, Elisa Giovannetti

Semin Cancer Biol. 2024 Nov;106-107:217-233

http://dx.doi.org/10.1016/j.semcancer.2024.09.002

Pancreatic ductal adenocarcinoma (PDAC) is an aggressive cancer with poor prognosis and rising global deaths. Late diagnosis, due to absent early symptoms and biomarkers, limits treatment mainly to chemotherapy, which soon encounters resistance. PDAC treatment innovation is hampered by its complex and heterogeneous resistant nature, including mutations in key genes and a stromal-rich, immunosuppressive tumour microenvironment. Recent studies on PDAC resistance stress the need for suitable in vitro and ex vivo models to replicate its complex molecular and microenvironmental landscape. This review summarises advances in these models, which can aid in combating chemoresistance and serve as platforms for discovering new therapeutics. Immortalised cell lines offer homogeneity, unlimited proliferation, and reproducibility, but while many gemcitabine-resistant PDAC cell lines exist, fewer models are available for resistance to other drugs. Organoids from PDAC patients show promise in mimicking tumour heterogeneity and chemosensitivity. Bioreactors, co-culture systems and organotypic slices, incorporating stromal and immune cells, are being developed to understand tumour-stroma interactions and the tumour microenvironment’s role in drug resistance. Lastly, another innovative approach is three-dimensional bioprinting, which creates tissue-like structures resembling PDAC architecture, allowing for drug screening. These advanced models can guide researchers in selecting optimal in vitro tests, potentially improving therapeutic strategies and patient outcomes.

Development of a Machine-Learning Model for Diagnosis of Pancreatic Cancer from Serum Samples Analyzed by Thermal Liquid Biopsy

Sonia Hermoso-Durán, Nicolas Fraunhoffer, Judith Millastre-Bocos, Oscar Sanchez-Gracia, Pablo F. Garrido, Sonia Vega, Ángel Lanas, Juan Iovanna, Adrián Velázquez-Campoy,* and Olga Abian*

DOI: 10.1002/aisy.202400308

Pancreatic ductal adenocarcinoma (PDAC) poses a considerable diagnostic and therapeutic challenge due to the lack of specific biomarkers and late diagnosis. Early detection is crucial for improving prognosis, but current techniques are insufficient. An innovative approach based on differential scanning calorimetry (DSC) of blood serum samples, thermal liquid biopsy (TLB), combined with machine-learning (ML) analysis, may offer a more efficient method for diagnosing PDAC. Serum samples from a cohort of 212 PDAC patients and 184 healthy controls are studied. DSC thermograms are analyzed using ML models. The generated models are built applying algorithms based on penalized regression, resampling, categorization, cross validation, and variable selection. The MLbased model demonstrates outstanding ability to discriminate between PDAC patients and control subjects, with a sensitivity of 90% and an area under the ROC receiver operating characteristic curve of 0.83 in the training and test groups. Application of the model to an independent validation cohort of 113 PDAC patients confirms its robustness and utility as a diagnosis tool. The application of ML to serum TLB data emerges as a promising methodology for early diagnosis, representing a significant advance for detecting and managing PDAC, envisaging a minimally invasive and more efficient methodology for identifying biomarkers.

Polymorphisms in transcription factor binding sites and enhancer regions and pancreatic ductal adenocarcinoma risk

Ünal P, Lu Y, Bueno-de-Mesquita B, van Eijck CHJ, Talar-Wojnarowska R, Szentesi A, Gazouli M, Kreivenaite E, Tavano F, Małecka-Wojciesko E, Erőss B, Oliverius M, Bunduc S, Nóbrega Aoki M, Vodickova L, Boggi U, Giaccherini M, Kondrackiene J, Chammas R, Palmieri O, Theodoropoulos GE, Bijlsma MF, Basso D, Mohelnikova-Duchonova B, Soucek P, Izbicki JR, Kiudelis V, Vanella G, Arcidiacono PG, Włodarczyk B, Hackert T, Schöttker B, Uzunoglu FG, Bambi F, Goetz M, Hlavac V, Brenner H, Perri F, Carrara S, Landi S, Hegyi P, Dijk F, Maiello E, Capretti G, Testoni SGG, Petrone MC, Stocker H, Ermini S, Archibugi L, Gentiluomo M, Cavestro GM, Pezzilli R, Di Franco G, Milanetto AC, Sperti C, Neoptolemos JP, Morelli L, Vokacova K, Pasquali C, Lawlor RT, Bazzocchi F, Kupcinskas J, Capurso G, Campa D, Canzian F.

Hum Genomics. 2024 Feb 2;18(1):12. doi: 10.1186/s40246-024-00576-x.

PMID: 38308339

https://pubmed.ncbi.nlm.nih.gov/38308339/

Treatment resistance in pancreatic and biliary tract cancer: molecular and clinical pharmacology perspectives

Toledo B, Deiana C, Scianò F, Brandi G, Marchal JA, Perán M, Giovannetti E.

Expert Rev Clin Pharmacol. 2024 Mar 15:1-25. doi: 10.1080/17512433.2024.2319340. Online ahead of print.

PMID: 38413373

https://pubmed.ncbi.nlm.nih.gov/38413373/

Spliceosomic dysregulation in pancreatic cancer uncovers splicing factors PRPF8 and RBMX as novel candidate actionable targets

Alors-Pérez E, Blázquez-Encinas R, Moreno-Montilla MT, García-Vioque V, Jiménez-Vacas JM, Mafficini A, González-Borja I, Luchini C, Sánchez-Hidalgo JM, Sánchez-Frías ME, Pedraza-Arevalo S, Romero-Ruiz A, Lawlor RT, Viúdez A, Gahete MD, Scarpa A, Arjona-Sánchez Á, Luque RM, Ibáñez-Costa A, Castaño JP

Mol Oncol. 2024 May 24. doi: 10.1002/1878-0261.13658. Epub ahead of print

PMID: 38790138

https://pubmed.ncbi.nlm.nih.gov/38790138/

This is a collection of Publications related to our COST Action - Year 2023
Genetic and non-genetic risk factors for early-onset pancreatic cancer

Ylenia Nodaria,1, Manuel Gentiluomoa,1, Beatrice Mohelnikova-Duchonovab, Edita Kreivenaitec, Anna Caterina Milanettod, Jurgita Skiecevicienec, Stefano Landia, Rita T Lawlore, Maria Chiara Petronef, Paolo Giorgio Arcidiaconof, Martin Lovecekg, Maria Gazoulih, Maarten F. Bijlsmai,j, Luca Morellik, Vytautas Kiudelisc, Matteo Tacellif, Dalila Lucíola Zanettel, Pavel Soucekm, Faik Uzunoglun, Rudolf Kaakso, Jakob Izbickin, Ugo Boggip, Raffaele Pezzilliq, Andrea Mambrinir, Claudio Pasqualid, Hanneke W. van Laarhovens,j, Verena Katzkeo, Giulia Martina Cavestrot, Cosimo Spertiu, Martin Loosv, Anna Latianow, Bálint Erőssx,y,z, Martin Oliveriusaa, Theron Johnsono, Daniela Bassoab, John P. Neoptolemosv, Mateus Nóbrega Aokil, William Greenhalfac, Pavel Vodickaad,ae,af, Livia Archibugiag,ah, Giuseppe Vanellaag,ah, Maurizio Lucchesir, Renata Talar-Wojnarowskaai, Krzysztof Jamroziakaj, Mohammed Al Saeediv, Casper H.J. van Eijckak, Juozas Kupcinskasc, Tamás Husseiny,z, Marta Puzzonot, Stefania Bunducal,y,z, Mara Götzn, Silvia Carraraam, Andrea Szentesix,an,ao, Francesca Tavanow, Stefania Mozab, Péter Hegyix,y,z,ao, Claudio Luchinie, Gabriele Capursoag,ah, Francesco Perriw, Stefano Erminiap, George Theodoropoulosaq, Giovanni Caprettiar,as, Orazio Palmieriw, Laura Ginocchir, Niccolò Furbettak, Federico Canzianat, Daniele Campaa

a Department of Biology, University of Pisa, Pisa, Italy

b Department of Oncology, Faculty of Medicine and Dentistry, Palacký University, Olomouc, Czech Republic

c Gastroenterology Department and Institute for Digestive Research, Lithuanian University of Health Sciences, Kaunas, Lithuania

d Dept. of Surgery, Oncology and Gastroenterology, University of Padova Chirurgia Generale 3, Padova, Italy

e Department of Diagnostics and Public Health, and ARC-Net Research Centre, University of Verona, Verona, Italy

f PancreatoBiliary Endoscopy and Endosonography Division, Pancreas Translational and Clinical Research Center Vita Salute San Raffaele University San Raffaele Scientific Institute, Milan, Italy

g Department of Surgery I, University Hospital Olomouc, Olomouc, Czech Republic

h Laboratory of Biology, Department of Basic Medical Science, School of Medicine, National Kapodistrian University of Athens, Athens, Greece

i Center for Experimental and Molecular Medicine, Laboratory for Experimental Oncology and Radiobiology, Amsterdam UMC, location University of Amsterdam, Amsterdam, The Netherlands

j Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, The Netherlands

k General Surgery Unit, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy

l Laboratory for Applied Science and Technology in Health, Carlos Chagas Institute, Oswaldo Cruz Foundation (Fiocruz), Curitiba, Brazil

m Laboratory of Pharmacogenomics, Biomedical Center, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic

n Department of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

o Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany

p Divisione di Chirurgia Generale e dei Trapianti, Università di Pisa, Pisa, Italy

q Country Medical Association of Potenza, Potenza, Italy

r Oncological Department, Massa Carrara Azienda USL Toscana Nord Ovest, Carrara, Italy

s Department of Medical Oncology, Amsterdam UMC, location University of Amsterdam, Amsterdam, The Netherlands

t Gastroenterology and Gastrointestinal Endoscopy Unit, IRCCS San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy

u Deptartment of Surgery, Oncology and Gastroenterology, University of Padova Chirurgia Generale 1, Padova, Italy

v Department of General, Visceral and Transplantation Surgery, University Hospital Heidelberg, Heidelberg, Germany

w Division of Gastroenterology, Fondazione IRCCS “Casa Sollievo della Sofferenza” Hospital, San Giovanni Rotondo, Italy

x Institute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary

y Center for Translational Medicine, Semmelweis University, Budapest, Hungary

z Division of Pancreatic Diseases, Heart and Vascular Center, Semmelweis University, Budapest, Hungary

aa Department of General Surgery, University Hospital Kralovske Vinohrady, Third Faculty of Medicine, Charles University, Prague, Czech Republic

ab Department of Medicine-DIMED, Laboratory Medicine-University of Padova, Padova, Italy

ac Molecular and Clinical Cancer Medicine, The University of Liverpool, Liverpool, United Kingdom

ad Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic

ae Biomedical Center, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic

af Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University, Prague, Czech Republic

ag Digestive and Liver Disease Unit, S. Andrea Hospital, “Sapienza” University of Rome, Rome, Italy

ah Pancreato-Biliary Endoscopy and Endosonography Division, IRCCS San Raffaele Scientific Institute, Pancreas Translational and Clinical Research Center, Vita-Salute San Raffaele University, Milan, Italy

ai Department of Digestive Tract Diseases, Medical University of Lodz, Lodz, Poland

aj Department of Hematology, Transplantation and Internal Medicine, University Clinical Center of the Medical University of Warsaw, Warsaw, Poland

ak Department of Surgery, Erasmus MC University Medical Center, Rotterdam, the Netherlands

al Carol Davila University of Medicine and Pharmacy, Bucharest, Romania

am Endoscopic Unit, Department of Gastroenterology, IRCCS Humanitas Research Hospital, Rozzano, Italy

an Centre for Translational Medicine, Department of Medicine, University of Szeged, Szeged, Hungary

ao János Szentágothai Research Center, University of Pécs, Pécs, Hungary

ap Blood Transfusion Service, Children’s Hospital, Azienda Ospedaliero-Universitaria Meyer, Florence, Italy

aq First Department of Propaedeutic Surgery, Hippokration General Hospital of Athens, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece

ar Pancreatic Unit, IRCCS Humanitas Research Hospital, Rozzano, Italy

as Department of Biomedical Sciences, Humanitas University, Milan, Italy

at Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany

1 These authors contributed equally to this work.

Email: daniele.campa@unipi.it

DOI: https://doi.org/10.1016/j.dld.2023.02.023

Abstract

Background
Early-onset pancreatic cancer (EOPC) represents 5–10% of all pancreatic ductal adenocarcinoma (PDAC) cases, and the etiology of this form is poorly understood. It is not clear if established PDAC risk factors have the same relevance for younger patients. This study aims to identify genetic and non-genetic risk factors specific to EOPC.

Methods
A genome-wide association study was performed, analysing 912 EOPC cases and 10 222 controls, divided into discovery and replication phases. Furthermore, the associations between a polygenic risk score (PRS), smoking, alcohol consumption, type 2 diabetes and PDAC risk were also assessed.

Results
Six novel SNPs were associated with EOPC risk in the discovery phase, but not in the replication phase. The PRS, smoking, and diabetes affected EOPC risk. The OR comparing current smokers to never-smokers was 2.92 (95% CI 1.69–5.04, P = 1.44 × 10−4). For diabetes, the corresponding OR was 14.95 (95% CI 3.41–65.50, P = 3.58 × 10−4).

Conclusion
In conclusion, we did not identify novel genetic variants associated specifically with EOPC, and we found that established PDAC risk variants do not have a strong age-dependent effect. Furthermore, we add to the evidence pointing to the role of smoking and diabetes in EOPC.

Keywords
Pancreatic cancer
Early onset
GWAS
Risk factor

The PANcreatic Disease ReseArch (PANDoRA) consortium: Ten years' experience of association studies to understand the genetic architecture of pancreatic cancer.

Daniele Campaa, Manuel Gentiluomoa, Angelika Steinb,1, Mateus Nóbrega Aokic,1, Martin Oliveriusd,1, Ludmila Vodičkováe,f,g,1, Krzysztof Jamroziakh,1, George Theodoropoulosi,1, Claudio Pasqualij,1, William Greenhalfk,1, Paolo Giorgio Arcidiaconol,1, Faik Uzunoglum,1, Raffaele Pezzillin,1, Claudio Luchinio,1, Marta Puzzonop,1, Martin Loosq,1, Matteo Giaccherinia,1, Verena Katzker,1, Andrea Mambrinis,1, Edita Kiudelienet,1, Kauffmann Emanuele Federicou,1, Julia Johansenv,1, Tamás Husseinw,x,1, Beatrice Mohelnikova-Duchonovay,1, Casper H.J. van Eijckz,1, Hermann Brenneraa,ab,ac,1, Riccardo Farinellaa,1, Juan Sainz Pérezad,ae,af,1, Martin Lovecekag,1, Markus W. Büchlerq,1, Viktor Hlavacah,1, Jakob R. Izbickim,1, Thilo Hackertq,1, Roger Chammasai,1, Alessandro Zerbiaj,ak,1, Rita Lawloral,1, Alessio Felicia,1, Mara Götzm,1, Gabriele Capursoam,an,1, Laura Ginocchis,1, Maria Gazouliao,1, Juozas Kupcinskast,1, Giulia Martina Cavestrop,1, Pavel Vodickae,f,g,1, Stefania Mozap,1, John P. Neoptolemosq,1, Lumir Kunovskyaq,ar,as,1, Stig E. Bojesenv,1, Silvia Carraraat,1, Domenica Gioffredaau,1, Egidijus Morkunast,1, Olga Abianav,1, Stefania Bunducx,aw,ax,1, Daniela Bassoay,1, Ugo Boggiu,1, Barbara Wlodarczykaz,1, Andrea Szentesiba,1, Giuseppe Vanellaam,an,1, Inna Chenv,1, Maarten F. Bijlsmabb,bc,bd,1, Vytautas Kiudelist,1, Stefano Landia,1, Ben Schöttkeraa,1, Chiara Corradia,1, Nathalia Gieseq,1, Rudolf Kaaksr,1, Giulia Peduzzia,1, Péter Hegyiw,x,ba,be,1, Luca Morellibf,1, Niccolò Furbettabf,1, Pavel Soucekah,1, Anna Latianoau,1, Renata Talar-Wojnarowskaaz,1, Sidsel C. Lindgaardv,1, Frederike Dijkbd,bg,1, Anna Caterina Milanettoj,1, Francesca Tavanoau,1, Klara Cervenae,f,1, Bálint Erőssw,x,ba,1, Sabrina G. Testonil,1, Judith H.E. Verhagen-Oldenampsenbh,1, Ewa Małecka-Wojcieskoaz,1, Eithne Costellok,1, Roberto Salviabi,1, Evaristo Maiellobj,1, Stefano Erminibk,1, Cosimo Spertibl,1, Bernd Holleczekaa,bm,1, Francesco Perriau,1, Jurgita Skiecevicienet,1, Livia Archibugiam,an,1, Maurizio Lucchesis,1, Cosmeri Rizzatobn, Federico Canzianb

a Unit of Genetic, Department of Biology, University of Pisa, Pisa, Italy

b Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany

c Laboratory for Applied Science and Technology in Health, Carlos Chagas Institute, Oswaldo Cruz Foundation (Fiocruz), Curitiba, Brazil

d Department of Surgery, University Hospital Kralovske Vinohrady, Third Faculty of Medicine, Charles University, Prague, Czech Republic

e Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic

f Institute of Biology and Medical Genetics, 1st Faculty of Medicine Charles University and General University Hospital in Prague, Prague, Czech Republic

g Biomedical Centre, Faculty of Medicine in Pilsen Charles University, Pilsen, Czech Republic

h Department of Hematology, Transplantation and Internal Medicine, Medical University of Warsaw, Warsaw, Poland

i First Department of Propaedeutic Surgery, Hippocration General Hospital, National and Kapodistrian University of Athens, Athens, Greece

j Dept. of Surgery, Oncology and Gastroenterology, University of Padova Chirurgia Generale 3, Padova, Italy

k Liverpool Experimental Cancer Medicine Centre, University of Liverpool, Liverpool, United Kingdom

l Pancreato-Biliary Endoscopy and Endosonography Division, Pancreas Translational and Clinical Research Center, IRCCS San Raffaele Scientic Institute, Milan, Italy

m Department of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

n Potenza Medica County Association, Potenza, Italy

o Department of Diagnostics and Public Health, Section of Pathology, University and Hospital Trust of Verona, Verona, Italy

p Gastroenterology and Gastrointestinal Endoscopy Unit, Vita-Salute San Raffaele University, IRCCS San Raffaele Scientific Institute, Milan, Italy

q Department of General, Visceral and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany

r Division of Cancer Epidemiology C020, German Cancer Research Center (DKFZ), Heidelberg, Germany

s Oncological Department Massa Carrara, Azienda USL Toscana Nord Ovest, Carrara, Italy

t Institute for Digestive Research and Gastroenterology Department, Lithuanian University of Health Sciences, Kaunas, Lithuania

u Division of General and Transplant Surgery, Pisa University Hospital, Pisa, Italy

v Departments of Oncology and Medicine, Copenhagen University Hospital, Herlev, Denmark

w Institute of Pancreatic Diseases, Semmelweis University, Budapest, Hungary

x Center for Translational Medicine, Semmelweis University, Budapest, Hungary

y Department of Oncology, Faculty of Medicine and Dentistry, Palacky University, Olomouc, Czech Republic

z Department of Surgery, Erasmus MC University Medical Center, Rotterdam, the Netherlands

aa Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany

ab Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany

ac German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany

ad Genomic Oncology Area, GENYO, Centre for Genomics and Oncological Research: Pfizer/University of Granada/Andalusian Regional Government, Granada, Spain

ae Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Complejo Hospitales Universitarios de Granada, Universidad de Granada, Granada, Spain

af Department of Immunology, University of Granada, Granada, Spain

ag Department of Surgery I, University Hospital Olomouc, Olomouc, Czech Republic

ah Biomedical Center, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic

ai Center for Translational Research in Oncology (LIM24), Departamento de Radiologia e Oncologia, Instituto Do Câncer Do Estado de São Paulo (ICESP), Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), São Paulo, Brazil

aj Pancreatic Unit, IRCCS Humanitas Research Hospital, Milan, Italy

ak Department of Biomedical Sciences, Humanitas University, Milan, Italy

al ARC-Net Research Center, Department of Diagnostics and Public Health, University and Hospital Trust of Verona, Verona, Italy

am Pancreato-Biliary Endoscopy and Endosonography Division, Pancreas Translational and Clinical Research Center, San Raffaele Scientific Institute, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Milan, Italy

an Digestive and Liver Disease Unit, Sant’ Andrea Hospital, Rome, Italy

ao Laboratory of Biology, Department of Basic Medical Sciences, Medical School, National and Kapodistrian University of Athens, Athens, Greece

ap Azienda Ospedale-Università di Padova Medicina di Laboratorio, Padova, Italy

aq Department of Surgery, University Hospital Brno, Faculty of Medicine, Masaryk University, Brno, Czech Republic

ar Department of Gastroenterology and Digestive Endoscopy, Masaryk Memorial Cancer Institute, Brno, Czech Republic

as 2nd Department of Internal Medicine – Gastroenterology and Geriatrics, University Hospital Olomouc, Faculty of Medicine and Dentistry, Palacky University, Olomouc, Czech Republic

at Endoscopic Unit, Department of Gastroenterology, IRCCS Humanitas Research Hospital, Milan, Italy

au Division of Gastroenterology and Research Laboratory, Fondazione IRCCS “Casa Sollievo della Sofferenza” Hospital, San Giovanni Rotondo, Italy

av Instituto BIFI-Universidad de Zaragoza, Zaragoza, Spain

aw Carol Davila University of Medicine and Pharmacy, Bucharest, Romania

ax Center for Digestive Diseases and Liver Transplant, Fundeni Clinical Insitute, Bucharest, Romania

ay Dept. of Medicine, University of Padova Medicina di Laboratorio, Padova, Italy

az Dept of Digestive Tract Diseases, Medical University of Lodz, Lodz, Poland

ba Institute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary

bb Center for Experimental and Molecular Medicine, Laboratory of Experimental Oncology and Radiobiology, Amsterdam UMC location University of Amsterdam, Amsterdam, the Netherlands

bc Oncode Institute, Amsterdam, the Netherlands

bd Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, the Netherlands

be Translational Pancreatology Research Group, Interdisciplinary Centre of Excellence for Research Development and Innovation University of Szeged, Szeged, Hungary

bf General Surgery Unit, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy

bg Department of Pathology, Amsterdam UMC location University of Amsterdam, Amsterdam, the Netherlands

bh Department of Pulmonary diseases, Erasmus MC University Medical Center, Rotterdam, the Netherlands

bi Department of Surgery, The Pancreas Institute, University and Hospital Trust of Verona, Verona, Italy

bj Department of Oncology, Fondazione IRCCS “Casa Sollievo della Sofferenza” Hospital, San Giovanni Rotondo, Italy

bk Meyer Children’s Hospital IRCCS, Florence, Italy

bl Dept. of Surgery, Oncology and Gastroenterology, University of Padova Chirurgia Generale 1, Padova, Italy

bm Saarland Cancer Registry, Saarbrücken, Germany

bn Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy

DOI: https://doi.org/10.1016/j.critrevonc.2023.104020

Abstract

Pancreatic cancer has an incidence that almost matches its mortality. Only a small number of risk factors and 33 susceptibility loci have been identified. so Moreover, the relative rarity of pancreatic cancer poses significant hurdles for research aimed at increasing our knowledge of the genetic mechanisms contributing to the disease. Additionally, the inability to adequately power research questions prevents small monocentric studies from being successful. Several consortia have been established to pursue a better understanding of the genetic architecture of pancreatic cancers. The Pancreatic disease research (PANDoRA) consortium is the largest in Europe. PANDoRA is spread across 12 European countries, Brazil and Japan, bringing together 29 basic and clinical research groups. In the last ten years, PANDoRA has contributed to the discovery of 25 susceptibility loci, a feat that will be instrumental in stratifying the population by risk and optimizing preventive strategies.

Keywords

Pancreatic cancer; Pancreatic ductal adenocarcinoma; Pancreatic neuroendocrine tumors; Intraductal papillary mucinous neoplasms; Chronic pancreatitis; Genetic epidemiology; Consortium

Proteomics analysis of circulating small extracellular vesicles: Focus on the contribution of EVs to tumor metabolism

Federica Anastasi, Asia Botto, Benoit Immordino, Elisa Giovannetti, Liam A. McDonnell

Cytokine & Growth Factor Reviews volume 73, October 2023

https://doi.org/10.1016/j.cytogfr.2023.08.003

The term small extracellular vesicle (sEV) is a comprehensive term that includes any type of cell-derived, membrane-delimited particle that has a diameter < 200 nm, and which includes exosomes and smaller microvesicles. sEVs transfer bioactive molecules between cells and are crucial for cellular homeostasis and particularly during tumor development, where sEVs provide important contributions to the formation of the premetastic niche and to their altered metabolism. sEVs are thus legitimate targets for intervention and have also gained increasing interest as an easily accessible source of biomarkers because they can be rapidly isolated from serum/plasma and their molecular cargo provides information on their cell-of origin. To target sEVs that are specific for a given cell/disease it is essential to identify EV surface proteins that are characteristic of that cell/disease. Mass-spectrometry based proteomics is widely used for the identification and quantification of sEV proteins. The methods used for isolating the sEVs, preparing the sEV sample for proteomics analysis, and mass spectrometry analysis, can have a strong influence on the results and requires careful consideration. This review provides an overview of the approaches used for sEV proteomics and discusses the inherent compromises regarding EV purity versus depth of coverage. Additionally, it discusses the practical applications of the methods to unravel the involvement of sEVs in regulating the metabolism of pancreatic ductal adenocarcinoma (PDAC). The metabolic reprogramming in PDAC includes enhanced glycolysis, elevated glutamine metabolism, alterations in lipid metabolism, mitochondrial dysfunction and hypoxia, all of which are crucial in promoting tumor cell growth. A thorough understanding of these metabolic adaptations is imperative for the development of targeted therapies to exploit PDAC’s vulnerabilities.

The PANcreatic Disease ReseArch (PANDoRA) consortium turns 10! A summary of their main findings can be found in this anniversary paper

The PANcreatic Disease ReseArch (PANDoRA) consortium turns 10! A summary of their main findings can be found in this anniversary paper -> https://doi.org/10.1016/j.critrevonc.2023.104020

Pancreatic disease research (PANDoRA) is dedicated to the identification of pancreatic cancer risk loci and is the largest such consortium in Europe. PANDoRA is spread across 12 European countries, Brazil and Japan, bringing together 29 basic and clinical research groups. In the last ten years, PANDoRA has contributed to the discovery of 25 susceptibility loci, a feat that will be instrumental in stratifying the population by risk and optimizing preventive strategies.

 

Fibroblasts in pancreatic cancer: molecular and clinical perspectives

Rebelo R, Xavier CPR, Giovannetti E, Vasconcelos MH.

Trends Mol Med. 2023 Jun;29(6):439-453. doi: 10.1016/j.molmed.2023.03.002. Epub 2023 Apr 24.

PMID: 37100646

https://pubmed.ncbi.nlm.nih.gov/37100646/

Exploring the Neandertal legacy of pancreatic ductal adenocarcinoma risk in Eurasians

Piccardi M, Gentiluomo M, Bertoncini S, Pezzilli R, Erőss B, Bunduc S, Uzunoglu FG, Talar-Wojnarowska R, Vanagas T, Sperti C, Oliverius M, Aoki MN, Ermini S, Hussein T, Boggi U, Jamroziak K, Maiello E, Morelli L, Vodickova L, Di Franco G, Landi S, Szentesi A, Lovecek M, Puzzono M, Tavano F, van Laarhoven HWM, Zerbi A, Mohelnikova-Duchonova B, Stocker H, Costello E, Capurso G, Ginocchi L, Lawlor RT, Vanella G, Bazzocchi F, Izbicki JR, Latiano A, Bueno-de-Mesquita B, Ponz de Leon Pisani R, Schöttker B, Soucek P, Hegyi P, Gazouli M, Hackert T, Kupcinskas J, Poskiene L, Tacelli M, Roth S, Carrara S, Perri F, Hlavac V, Theodoropoulos GE, Busch OR, Mambrini A, van Eijck CHJ, Arcidiacono P, Scarpa A, Pasquali C, Basso D, Lucchesi M, Milanetto AC, Neoptolemos JP, Cavestro GM, Janciauskas D, Chen X, Chammas R, Goetz M, Brenner H, Archibugi L, Dannemann M, Canzian F, Tofanelli S, Campa D.

Biol Res. 2023 Aug 13;56(1):46. doi: 10.1186/s40659-023-00457-y.

PMID: 37574541

https://pubmed.ncbi.nlm.nih.gov/37574541/

Nanomedicine and epigenetics: New alliances to increase the odds in pancreatic cancer survival

Urbanova M, Cihova M, Buocikova V, Slopovsky J, Dubovan P, Pindak D, Tomas M, García-Bermejo L, Rodríguez-Garrote M, Earl J, Kohl Y, Kataki A, Dusinska M, Sainz B Jr, Smolkova B, Gabelova A.

Biomed Pharmacother. 2023 Sep;165:115179. doi: 10.1016/j.biopha.2023.115179. Epub 2023 Jul 21.

PMID: 37481927

https://pubmed.ncbi.nlm.nih.gov/37481927/

Analysis of exposome and genetic variability suggests stress as a major contributor for development of pancreatic ductal adenocarcinoma.

Peduzzi G, Felici A, Pellungrini R, Giorgolo F, Farinella R, Gentiluomo M, Spinelli A, Capurso G, Monreale A, Canzian F, Calderisi M, Campa D.

Dig Liver Dis. 2023 Nov 18:S1590-8658(23)01004-6. doi: 10.1016/j.dld.2023.10.015. Online ahead of print.

PMID: 37985251

https://pubmed.ncbi.nlm.nih.gov/37985251/

Thinking small to win big? A critical review on the potential application of extracellular vesicles for biomarker discovery and new therapeutic approaches in pancreatic cancer

Vahabi M, Comandatore A, Centra C, Blandino G, Morelli L, Giovannetti E.

Semin Cancer Biol. 2023 Dec;97:50-67. doi: 10.1016/j.semcancer.2023.11.003. Epub 2023 Nov 11.

PMID: 37956937

https://pubmed.ncbi.nlm.nih.gov/37956937/

Splicing alterations in pancreatic ductal adenocarcinoma: a new molecular landscape with translational potential

Alors-Pérez E, Pedraza-Arevalo S, Blázquez-Encinas R, Moreno-Montilla MT, García-Vioque V, Berbel I, Luque RM, Sainz B Jr, Ibáñez-Costa A, Castaño JP

J Exp Clin Cancer Res. 2023 Oct 26;42(1):282. doi: 10.1186/s13046-023-02858-z

PMID: 37880792

PMCID: PMC10601233

https://pubmed.ncbi.nlm.nih.gov/37880792/