Genomics of Prostate Cancer

Project aims/goals

​​​This project aims to create RNAseq and DNASeq (both tumor and non-tumor tissue DNAs) data for up to 35 prostate cancer patients with high-risk or unfavourable intermediate-risk disease. These molecular data combined with patient clinical and demographic data will then be subject to data analysis using bioinformatics and statistical methods, such as interaction, clustering, and survival analyses. 

​We work with NL Biobank, the sequencing facility at Memorial University, the Centre for Translational Genomics, and the bioinformatics team of the Atlantic Cancer Consortium (ACC) to oversee the whole process of sample collection and sequencing.  

Anticipated outcomes and impact

​​This project aims to integrate molecular data (through RNAseq, and DNAseq) with thorough data analysis to unearth new diagnostic, treatment-related, and prognostic markers in prostate cancer. We aim to deepen our understanding of patient subgroups with varying clinical outcomes. 

Key Researcher

  • John
    Thoms

    Institutional LeadWorking Group Member