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通过生物信息学分析鉴定与透明细胞肾细胞癌相关的潜在关键基因和关键途径。

Identification of potential key genes and key pathways related to clear cell renal cell carcinoma through bioinformatics analysis.

机构信息

Department of Oncology, The Affiliated Hospital of Qingdao University, Qingdao 266000, China.

Department of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai 200000, China.

出版信息

Acta Biochim Biophys Sin (Shanghai). 2020 Aug 5;52(8):853-863. doi: 10.1093/abbs/gmaa068.

DOI:10.1093/abbs/gmaa068
PMID:32556097
Abstract

Clear cell renal cell carcinoma (ccRCC) is a common malignancy of the genitourinary system and is associated with high mortality rates. However, the molecular mechanism of ccRCC pathogenesis is still unclear, which translates to few effective diagnostic and prognostic biomarkers. In this study, we conducted a bioinformatics analysis on three Gene Expression Omnibus datasets and identified 437 differentially expressed genes (DEGs) related to ccRCC development and prognosis, of which 311 and 126 genes are respectively down-regulated and up-regulated. The protein-protein interaction network of these DEGs consists of 395 nodes and 1872 interactions and 2 prominent modules. The Staphylococcus aureus infection and complement and coagulation cascades are significantly enriched in module 1 and are likely involved in ccRCC progression. Forty-two hub genes were screened, of which von Willebrand factor, TIMP metallopeptidase inhibitor 1, plasminogen, formimidoyltransferase cyclodeaminase, solute carrier family 34 member 1, hydroxyacid oxidase 2, alanine-glyoxylate aminotransferase 2, phosphoenolpyruvate carboxykinase 1, and 3-hydroxy-3-methylglutaryl-CoA synthase 2 are possibly related to the prognosis of ccRCC. The differential expression of all nine genes was confirmed by quantitative real-time polymerase chain reaction analysis of the ccRCC and normal renal tissues. These key genes are potential biomarkers for the diagnosis and prognosis of ccRCC and warrant further investigation.

摘要

透明细胞肾细胞癌(ccRCC)是一种常见的泌尿生殖系统恶性肿瘤,死亡率较高。然而,ccRCC 发病机制的分子机制尚不清楚,这导致有效的诊断和预后生物标志物很少。在这项研究中,我们对三个基因表达综合数据集进行了生物信息学分析,确定了 437 个与 ccRCC 发展和预后相关的差异表达基因(DEGs),其中 311 个和 126 个基因分别下调和上调。这些 DEGs 的蛋白质-蛋白质相互作用网络由 395 个节点和 1872 个相互作用组成,有 2 个主要模块。模块 1 中显著富集了金黄色葡萄球菌感染和补体及凝血级联反应,可能参与了 ccRCC 的进展。筛选出 42 个枢纽基因,其中血管性血友病因子、TIMP 金属蛋白酶抑制剂 1、纤溶酶原、亚氨甲酰基转移酶环脱氨酶、溶质载体家族 34 成员 1、羟基酸氧化酶 2、丙氨酸-甘氨酸转氨酶 2、磷酸烯醇丙酮酸羧激酶 1 和 3-羟-3-甲基戊二酰辅酶 A 合酶 2 可能与 ccRCC 的预后有关。通过对 ccRCC 和正常肾组织的定量实时聚合酶链反应分析,证实了所有 9 个基因的差异表达。这些关键基因可能是 ccRCC 诊断和预后的潜在生物标志物,值得进一步研究。

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