膀胱癌中差异基因表达及相关免疫浸润的综合分析
Comprehensive Analysis of Differential Gene Expression and Correlated Immune Infiltration in Bladder Cancer.
作者信息
Xiao Xiao, Peng Junxiong, Chen Yong, Lu Xingshan, Sun Wei, Xiao Weizhong, Yuan Mengjuan, Huang Xiaolan
机构信息
Urology Department, Chongqing University Fuling Hospital, Chongqing, 408000, PR China.
出版信息
Iran J Public Health. 2023 Jun;52(6):1225-1237. doi: 10.18502/ijph.v52i6.12988.
BACKGROUND
Bladder cancer (BCa) is one of the most common urinary tract malignancies. Our study aimed to provide promising biomarkers for BCa screening and prognosis.
METHODS
BCa samples were obtained from Gene Expression Omnibus (GEO) datasets. Differentially expressed genes (DEGs) were analysed by GO/KEGG analysis. Univariate Cox hazard analysis and Kaplan Meier Curve clarified the relevance of DEGs and survival. Receiver operating characteristic (ROC) curve showed the discrimination ability of DEGs in BCa patient outcome prediction. RT-PCR was used to validate gene expression.
RESULTS
Overall, 61 common up regulated and 170 common down-regulated genes in BCa were obtained. DEGs were mainly enriched in proliferation and metastasis processes. , , , , , and had clinical relevance to survival with high accuracy. , and are promising biomarkers of BCa. , and are involved in cancer immune infiltration.
CONCLUSION
, and are promising biomarkers of bladder cancer. In addition, , and are involved in cancer immune infiltration, which provides new targets in immune therapy in bladder cancer.
背景
膀胱癌（BCa）是最常见的泌尿系统恶性肿瘤之一。我们的研究旨在为膀胱癌的筛查和预后提供有前景的生物标志物。
方法
从基因表达综合数据库（GEO）数据集中获取膀胱癌样本。通过GO/KEGG分析对差异表达基因（DEGs）进行分析。单变量Cox风险分析和Kaplan Meier曲线阐明了DEGs与生存的相关性。受试者工作特征（ROC）曲线显示了DEGs在预测膀胱癌患者预后方面的辨别能力。采用RT-PCR验证基因表达。
结果
总体而言，获得了膀胱癌中61个常见的上调基因和170个常见的下调基因。DEGs主要富集于增殖和转移过程。 、 、 、 、 、 和 与生存具有高度临床相关性。 、 和 是有前景的膀胱癌生物标志物。 、 和 参与癌症免疫浸润。
结论
、 和 是有前景的膀胱癌生物标志物。此外， 、 和 参与癌症免疫浸润，这为膀胱癌免疫治疗提供了新靶点。
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