Medical School of Guizhou University, Jiaxiu South road, Guiyang, Guizhou Province, P.R. China.
Department of Urology Surgery, Guizhou Province People's Hospital, No. 83 East Zhongshan Road, Guiyang, Guizhou Province, P.R. China.
Biosci Rep. 2020 May 29;40(5). doi: 10.1042/BSR20194192.
Bladder cancer is the 11th most common cancer in the world. Bladder cancer can be roughly divided into muscle invasive bladder cancer (MIBC) and non-muscle invasive bladder cancer (NMIBC). The aim of the present study was to identify the key genes and pathways associated with the progression of NMIBC to MIBC and to further analyze its molecular mechanism and prognostic significance. We analyzed microarray data of NMIBC and MIBC gene expression datasets (GSE31684) listed in the Gene Expression Omnibus (GEO) database. After the dataset was analyzed using R software, differentially expressed genes (DEGs) of NMIBC and MIBC were identified. These DEGs were analyzed using Gene Ontology (GO) enrichment, KOBAS-Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and protein-protein interaction (PPI) analysis. The effect of these hub genes on the survival of bladder cancer patients was analyzed in The Cancer Genome Atlas (TCGA) database. A total of 389 DEGs were obtained, of which 270 were up-regulated and 119 down-regulated. GO and KEGG pathway enrichment analysis revealed that DEGs were mainly involved in the pathway of protein digestion and absorption, extracellular matrix (ECM) receiver interaction, phantom, toll-like receptor (TLR) signaling pathway, focal adhesion, NF-κB signaling pathway, PI3K/Akt signaling pathway, and other signaling pathways. Top five hub genes COL1A2, COL3A1, COL5A1, POSTN, and COL12A1 may be involved in the development of MIBC. These results may provide us with a further understanding of the occurrence and development of MIBC, as well as new targets for the diagnosis and treatment of MIBC in the future.
膀胱癌是全球第 11 大常见癌症。膀胱癌大致可分为肌层浸润性膀胱癌(MIBC)和非肌层浸润性膀胱癌(NMIBC)。本研究旨在鉴定与 NMIBC 进展为 MIBC 相关的关键基因和途径,并进一步分析其分子机制和预后意义。我们分析了基因表达数据库(GEO)中列出的 NMIBC 和 MIBC 基因表达数据集(GSE31684)的微阵列数据。使用 R 软件分析数据集后,确定了 NMIBC 和 MIBC 的差异表达基因(DEGs)。使用基因本体论(GO)富集、京都基因与基因组百科全书(KEGG)途径分析和蛋白质-蛋白质相互作用(PPI)分析对这些 DEGs 进行了分析。在癌症基因组图谱(TCGA)数据库中分析了这些关键基因对膀胱癌患者生存的影响。共获得 389 个 DEGs,其中 270 个上调,119 个下调。GO 和 KEGG 途径富集分析表明,DEGs 主要参与蛋白消化吸收途径、细胞外基质(ECM)受体相互作用、幻像、Toll 样受体(TLR)信号通路、焦点黏附、NF-κB 信号通路、PI3K/Akt 信号通路等信号通路。COL1A2、COL3A1、COL5A1、POSTN 和 COL12A1 这五个主要基因可能参与 MIBC 的发生发展。这些结果可能使我们进一步了解 MIBC 的发生和发展,并为未来 MIBC 的诊断和治疗提供新的靶点。