Driver Gene Networks of Genomic Instability in Prostate Cancer Progression
Abstract
This study identifies genes that increase the genomic instability of cancer through quantifying the overall change in the progression of prostate cancer and adjusts the gene expression changes induced by them. While conventional cancer genomic studies focused on changes in individual genetic potentials or specific genomic areas, the study proposed here suggests a way to broadly reflect the overall variation in the genome by examining diverse types of genetic variations. According to our preliminary study, seven drivers genes that impede the stability of the cancer gene were identified, among which two “driver” genes are novel and were never studied in prostate cancer in terms of genomic instability. By examining the gene expression phenotype, which is changed by the “driver” genes we suggest, we can see how these new “drivers” genes can play a role in the progression of cancer. 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 instability in the genome. In particular, by studying the interaction between these discovered “gene expression regulators” and the target genes that are controlled by them, these regulator-target interaction networks derived from changes in the genome can be connected. Finding these regulator-target interaction networks is a very important task in detecting nasty disease. Because some tumors with stable genome show the progression of diseases that are similar to the loss of a particular “tumor suppressor” or to tumors that are genetically unstable. Thus, if we can screen for prostate cancer using the regulator-target interaction networks we ve discovered, we can find bad tumors regardless of the genetic alterations. The research proposed here will provide a basis for the applicability of these cancer screening techniques. In line with this, we will investigate the regulator-target interaction networks for prostate cancer patients collected under various clinical contexts. In particular, gene expression surveys of cancer cells from patient blood with metastatic disease will be an important study in investigating the clinical utility of the concept regarding the genomic instability factors.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Mar 10, 2021
- Source ID
- W81XWH2010644
Entities
People
- Sungyong You
Organizations
- Cedars-Sinai Medical Center
- United States Army