转录组数据揭示前列腺癌患者基因表达的地理异质性。
Transcriptome Data Reveal Geographic Heterogeneity in Gene Expression in Patients with Prostate Cancer.
发表日期:2023 Apr
作者:
Yi Zheng, Yang Wang, Haitian He, Zhuping Zou, Huiling Lu, Jinlong Li, Jun Cai, Kebing Wang
来源:
Genes & Diseases
摘要:
前列腺癌(PC)的发病率呈现地理异质性。然而,导致这种地理异质性的代谢机制仍然不清楚。本研究旨在揭示地理异质性在前列腺癌发病率中的代谢机制。本研究旨在研究不同树胶提取物对HT-29细胞代谢变化及其对基因表达的影响的抗癌作用。从公共数据库获取并分析转录组数据,筛选地理差异表达基因和代谢途径。确定这些差异表达基因与前列腺癌发病率之间的关联,以确定与前列腺癌发病率高度相关的基因。进行共表达网络分析以确定地理特异性调节途径。共鉴定了175个不同表达基因,与DNA复制的调控以及嘧啶、核苷酸、嘌呤和半乳糖代谢有关。此外,CLVS2、SCGB1A1、KCNK3、HHIPL2、MMP26、KCNJ15和PNMT基因的表达与前列腺癌发病率高度相关。低发病区域的地理特异性差异表达基因与KCNJ15、MMP26、KCNK3和SCCB1A1高度相关,这些基因在离子通道相关功能中发挥主要作用。本研究提示,前列腺癌发病率的地理异质性与与氨基酸代谢、脂质代谢和离子通道相关的基因的表达水平相关。
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.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 was performed to identify geographic-specific regulatory pathways.A total of 175 differentially expressed genes were identified in four countries and were associated with the regulation of DNA replication and the metabolism of pyrimidine, nucleotides, purines, and galactose.Additionally, the expression of the genes CLVS2, SCGB1A1, KCNK3, HHIPL2, MMP26, KCNJ15, and PNMT was highly correlated with the incidence of PC. Geographic-specific differentially expressed genes in low-incidence areas were highly correlated with KCNJ15, MMP26, KCNK3, and SCCB1A1, which play a major role in ion channel-related functions.This study suggests that geographic heterogeneity in PC incidence is associated with the expression levels of genes associated with amino acid metabolism, lipid metabolism, and ion channels.