Working Group 3

Tumor Profiling

WG3 will focus on the genomic, epigenomic and transcriptional profiling of PC and its precursors in a multiregional analysis fashion in order to identify novel biomarkers with prognosis and predictive value for PC patient stratification.  

Objectives

  •   To generate genomic, epigenomic and transcriptional profiling of PC and its precursors.
  • To integrate the data generated in this WG with clinical features to identify new biomarkers for prognosis and prediction of treatment response.
  • To assess the mutational profiling and the genomic copy number alterations in PC and its precursors using multiregional whole exome sequencing.
  • To integrate the genomic and transcriptomic data with intra-tumor heterogeneity (ITH) and the patient clinical output.
  • To generate a gene panel for PC progression and perform ultra-deep sequencing in benign precursors of PC.
  • Develop tools to trace tumor evolution and assess the ITH based on the omics data generated in this WG.
  • To correlate the tumor profiling with the germline variants and the microbiome present in each patient obtained in WG1.
  • Implementation of AI approaches in the optimization of all the above tasks.

Tasks

Activities

Dedicated WG meetings will take place (1-2 per year). Workshops on the field will be included during meetings. A training school will be committed to the topic of tumor profiling. Inter-laboratory exchanges in the form of STSMs are also envisioned especially for young researchers. A tight monitoring of the WG activities will be ensured by a strong WG committee.  

  • Discovery of new somatic genetic variants involved in PC progression.

  • Identification of biomarkers involved in the transition from benign precursors to PC.

  • Deciphering the genomic make up of benign precursors.

  • Utilization of ITH as a prognostic predictor.

  • Patient triage based on cancer genomics.

Milestones

Objectives

  •   To generate genomic, epigenomic and transcriptional profiling of PC and its precursors.
  • To integrate the data generated in this WG with clinical features to identify new biomarkers for prognosis and prediction of treatment response.

Tasks

  • To assess the mutational profiling and the genomic copy number alterations in PC and its precursors using multiregional whole exome sequencing.
  • To integrate the genomic and transcriptomic data with intra-tumor heterogeneity (ITH) and the patient clinical output.
  • To generate a gene panel for PC progression and perform ultra-deep sequencing in benign precursors of PC.
  • Develop tools to trace tumor evolution and assess the ITH based on the omics data generated in this WG.
  • To correlate the tumor profiling with the germline variants and the microbiome present in each patient obtained in WG1.
  • Implementation of AI approaches in the optimization of all the above tasks.

Activities

Dedicated WG meetings will take place (1-2 per year). Workshops on the field will be included during meetings. A training school will be committed to the topic of tumor profiling. Inter-laboratory exchanges in the form of STSMs are also envisioned especially for young researchers. A tight monitoring of the WG activities will be ensured by a strong WG committee.  

Milestones

  • Discovery of new somatic genetic variants involved in PC progression.

  • Identification of biomarkers involved in the transition from benign precursors to PC.

  • Deciphering the genomic make up of benign precursors.

  • Utilization of ITH as a prognostic predictor.

  • Patient triage based on cancer genomics.