||5R21CA202417-02 Interpret this number
||Lsu Health Sciences Center
||Gene-Gene Interactions and Their Functional Roles in Prostate Cancer Aggressiveness
Prostate cancer with substantial clinical heterogeneity is the most common cancer and the
second leading cause of cancer-related death in American men. It remains unclear why some
prostate tumors are more aggressive than others. Existing clinical features (such as prostate
specific antigen (PSA), clinical stage and Gleason score) are not sufficient for classifying high-
and low-risk prostate cancer patients. It has been shown that approximately 20% of low-risk
prostate cancer patients died due to conservative treatment. Thus, there is an urgent need for
identifying additional biomarkers in order to improve prediction accuracy of prostate cancer
aggressiveness. The majority of current studies focus on evaluating individual genetic variants,
which may not be sufficient to explain the complexity of disease causality. The objective of this
study is to identify gene-gene interactions within the four candidate pathways (angiogenesis,
mitochondria, miRNA, and androgen metabolism) associated with prostate cancer
aggressiveness and their impact on gene expression. The genetic variants (both individual
effects and interactions) associated with prostate cancer aggressiveness will be performed
using the existing genetic data from the large scale prostate cancer consortium, a collection of
approximately 22,000 prostate cancer patients. The associations between genetic variants and
gene expressions will be identified using public domain genetic data and will be validated using
a cohort data set with 1065 prostate cancer patients. Evaluating genetic variants with gene
expression levels helps to identify downstream genes which can guide further study and may
lead to discovery of novel therapeutic targets. Our study findings can provide valuable
information toward understanding pathogenesis of prostate cancer and identifying genotype
combinations for predicting prostate cancer aggressiveness. As for the long-term impact, the
study results may be applied in developing effective screening tools to predict prostate cancer
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, et al.
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