Department of Urology, The First Affiliated Hospital of Shandong First Medical University, Shandong, 250014, China.
Department of Urology, Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, China.
Biochem Genet. 2021 Oct;59(5):1278-1294. doi: 10.1007/s10528-021-10061-y. Epub 2021 Mar 30.
The involvement of aberrantly expressed genes in the pathogenesis and progression of various human malignancies has been widely reported, including clear cell renal cell carcinoma (ccRCC). This study aimed to identify potential crucial genes in ccRCC and further investigate the role of these genes in ccRCC prognosis. Three gene expression profiles (GSE3, GSE6344 and GSE53000) were downloaded from GEO database. GEO2R was performed to identify the differentially expressed genes (DEGs) between ccRCC and normal samples. GO analysis and KEGG pathway enrichment analysis were applied for the function analysis. The DEGs were mapped into the PPI network, then the hub genes were identified and verified using the ONCOMINE database. Kaplan-Meier plotter was used to evaluate of the prognostic value of the identified hub genes. A total of 113 DEGs were identified from the three gene expression profiles, including 64 up-regulated genes and 69 down-regulated genes. DEGs were observed to be enriched in biological processes related to the progress and pathogenesis of human cancers. According to PPI network, 5 hub genes were collected, including TYROBP, C1QB, ITGB2, CD53 and FCER1G. Among them, CD53 was newly identified, and Kaplan-Meier survival curves suggested that high expression of CD53 was significantly associated with poor survival in ccRCC patients (log-rank P < 0.01). The present results may provide new insight into the understanding of molecular mechanisms and the clinical prognosis of ccRCC.
异常表达基因在各种人类恶性肿瘤的发病机制和进展中广泛报道，包括透明细胞肾细胞癌（ccRCC）。本研究旨在鉴定 ccRCC 中的潜在关键基因，并进一步研究这些基因在 ccRCC 预后中的作用。从 GEO 数据库下载了三个基因表达谱（GSE3、GSE6344 和 GSE53000）。使用 GEO2R 鉴定 ccRCC 和正常样本之间的差异表达基因（DEGs）。进行 GO 分析和 KEGG 通路富集分析以进行功能分析。将 DEGs 映射到 PPI 网络中，然后使用 ONCOMINE 数据库识别和验证核心基因。Kaplan-Meier plotter 用于评估鉴定的核心基因的预后价值。从三个基因表达谱中鉴定出 113 个 DEGs，包括 64 个上调基因和 69 个下调基因。DEGs 观察到富集在与人类癌症进展和发病机制相关的生物学过程中。根据 PPI 网络，收集了 5 个核心基因，包括 TYROBP、C1QB、ITGB2、CD53 和 FCER1G。其中，CD53 是新鉴定的，Kaplan-Meier 生存曲线表明 CD53 的高表达与 ccRCC 患者的不良生存显著相关（对数秩 P<0.01）。本研究结果可能为深入了解 ccRCC 的分子机制和临床预后提供新的见解。
