Knowledge-guided gene prioritization reveals new insights into the mechanisms of chemoresistance.

ABSTRACT:

Background

Identification of genes whose basal mRNA expression predicts the sensitivity of tumor cells to cytotoxic treatments can play an important role in individualized cancer medicine. It enables detailed characterization of the mechanism of action of drugs. Furthermore, screening the expression of these genes in the tumor tissue may suggest the best course of chemotherapy or a combination of drugs to overcome drug resistance.

Results

We developed a computational method called ProGENI to identify genes most associated with the variation of drug response across different individuals, based on gene expression data. In contrast to existing methods, ProGENI also utilizes prior knowledge of protein-protein and genetic interactions, using random walk techniques. Analysis of tw

SUBMITTER: Emad A 

PROVIDER: S-EPMC5554409 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature