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Dataset Information

Transcriptome Data Reveal Geographic Heterogeneity in Gene Expression in Patients with Prostate Cancer.


ABSTRACT:

Background

The incidence of prostate cancer (PC) exhibits geographical heterogeneity. However, the metabolic mechanisms underlying this geographic heterogeneity remain unclear. This study aimed to reveal the metabolic mechanism of the geographic heterogeneity in the incidence of PC.This study aimed to investigate the anti-cancer effects of different gum extracts on metabolic changes and their impact on gene expression in HT-29 cell.

Methods

Transcriptomic data from public databases were obtained and analyzed to screen geographic-differentially expressed genes and metabolic pathways. Associations between these differentially expressed genes and the incidence of PC were determined to identify genes that were highly associated with PC incidence. A co-expression network analysis

SUBMITTER: Zheng Y 

PROVIDER: S-EPMC10505463 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature