基于TCGA数据库探究膀胱癌关键基因的表达及预后作用

马涛; 陶润; 关翰; 张家俊

doi:10.13898/j.cnki.issn.1000-2200.2022.06.027

基于TCGA数据库探究膀胱癌关键基因的表达及预后作用

Expression and prognostic value of key genes in bladder cancer based on TCGA database

摘要

摘要:
目的探究膀胱癌(BC)中基因的差异化表达及其预后作用。
方法从TCGA数据库中下载BC的基因表达数据，利用R软件筛选出肿瘤与正常组织间差异表达基因，并进行富集分析，评估其潜在生物学功能及信号通路。利用在线数据库STRING11.0构建了编码蛋白相互作用网络，进一步筛选关键基因。通过UALCAN、GEPIA数据库验证关键基因在BLCA中的表达水平。随后利用在线工具Kaplan Meier Plotter分析他们的预后情况。
结果得到1 538个基因存在差异表达，其中有1 088个上调，450个下调，富集分析发现差异基因主要与信号转导、物质代谢、免疫反应等信号通路相关。10个关键基因中，在BC中白细胞介素-6表达越高预后越好(HR=0.46，P < 0.05)，间皮素表达越高预后越差(HR=2.27，P < 0.05)。
结论BC中存在众多差异表达的基因，他们对疾病进展存在影响，发现并利用他们在BC个体化治疗存在重要意义。

Abstract:
ObjectiveTo explore the differential expressions and the prognostic role of genes in bladder cancer.
MethodsThe gene expression data of bladder cancer were downloaded from TCGA database. The differentially expressed genes between tumor and normal tissues were screened by R software, and their potential biological functions and signal pathways were evaluated by enrichment analysis. A protein-coding interaction network was constructed using the online database STRING11.0 to further screen key genes. The expressions of key genes in bladder cancer was verified by GEPIA and UALCAN database. Then the online tool Kaplan Meier Plotter was used to analyze the prognosis.
ResultsA total of 1 538 genes were differentially expressed, including 1 088 up-regulated and 450 down-regulated. Enrichment analysis showed that the differential genes were mainly related to signal transduction, substance metabolism, immune responses and other signal pathways. Among the 10 key genes screened, 2 genes have the prognostic value.
ConclusionsThere are many differentially expressed genes in bladder cancer which have an impact on the progression of the disease. It is of great significance to find and use them in the individualized treatment of bladder cancer.

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