Screening of Drug Repositioning Candidates for Castration Resistant Prostate Cancer.

ABSTRACT: Purpose: Most prostate cancers (PCs) initially respond to androgen deprivation therapy (ADT), but eventually many PC patients develop castration resistant PC (CRPC). Currently, available drugs that have been approved for the treatment of CRPC patients are limited. Computational drug repositioning methods using public databases represent a promising and efficient tool for discovering new uses for existing drugs. The purpose of the present study is to predict drug candidates that can treat CRPC using a computational method that integrates publicly available gene expression data of tumors from CRPC patients, drug-induced gene expression data and drug response activity data. Methods: Gene expression data from tumoral and normal or benign prostate tissue samples in CRPC patients w

SUBMITTER: Kim IW 

PROVIDER: S-EPMC6664029 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature