Driver Gene Networks of Genomic Instability in Prostate Cancer Progression
Abstract
The less stable the cancer gene is, the faster cancer worsens. This can be used as an important measure of cancer's characteristics in various human cancers. By comparing and analyzing tumors at the genetic or gene expression level that is highly unstable in cancerous cells, we can identify changes in factors that are important to the various genetic manifestations that result in increased genomic instability (GI). This talk will describe the GI driver networks that can distinguish disease subtypes. Progress was made in four key points in the first year of the funding period. I have 1) developed a novel method for GI score computation to identify PCs with highly altered genome, 2) identified the genes (PCGI-E) significantly correlated with GI events, 3) Identified MRs that are relevant to PCGI-E gene signature regulation, and 4) developed PCGI TRN classifier that can identify the PCs with poor survival outcomes.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 2021
- Accession Number
- AD1148042
Entities
People
- Minhyung Kim
- Sungyong You
- Yeonjoo Lee
Organizations
- Cedars-Sinai Medical Center