Xiao He, Chen Ping, Zeng Guang, Xu Deqiang, Wang Xinghuan, Zhang Xinhua
Urological Surgery, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan 430017, China.
Department of Urology, Zhongnan Hospital of Wuhan University, Wuhan 430071, P.R. China.
J Cancer. 2019 Nov 1;10(27):6779-6791. doi: 10.7150/jca.35223. eCollection 2019.
To investigate the association of biomarkers correlated with clinical stages and survival of clear cell renal cell carcinoma (ccRCC). The GSE36895 dataset was downloaded and differentially expressed or methylated genes were analyzed. Hub genes were identified with weighted gene co-expression network analysis (WGCNA) and protein-protein interaction network (PPI), and validated with TCGA database and our own tissues. The biological processes of hub genes were further explored by functional enrichment analysis. Survival analyses were also performed. The underlying mechanisms for ccRCC development were detected with Gene set enrichment analyses. A total of 1624 differentially expressed genes were analyzed by WGCNA and 6 co-expressed gene modules were identified. Three hub genes (EHHADH, ACADM and AGXT2) were met the criterion of both WGCNA and PPI networks analysis, which showed highest negative association with pathological T stage (r = - 0.45, p = 0.01) and tumor grade (r = - 0.45, p = 0.01). The downregulation of these hub genes was validated with using both TCGA database and samples harvested at our institute The biological processes that hub genes involved, such as metabolic process (p = 9.63E - 09), oxidation-reduction process (p = 1.05E - 08) and oxidoreductase activity (p = 1.72E - 04), were revealed. Survival analysis showed a higher expression or lower methylation of these hub genes, a longer survival of ccRCC patients. ccRCC samples with higher expression of hub genes were enriched in gene sets correlated with signaling like biosynthesis of unsaturated fatty acids, butanoate metabolism, and PPAR signaling pathway. We identified three novel tumor suppressors associated with pathological T stage and overall survival of ccRCC. They might be potential as individualized therapeutic targets and diagnostic biomarkers for ccRCC.
探讨与透明细胞肾细胞癌(ccRCC)临床分期及生存相关的生物标志物。下载GSE36895数据集并分析差异表达或甲基化基因。通过加权基因共表达网络分析(WGCNA)和蛋白质-蛋白质相互作用网络(PPI)鉴定枢纽基因,并在TCGA数据库和我们自己的组织中进行验证。通过功能富集分析进一步探索枢纽基因的生物学过程。还进行了生存分析。用基因集富集分析检测ccRCC发生发展的潜在机制。通过WGCNA分析了总共1624个差异表达基因,鉴定出6个共表达基因模块。三个枢纽基因(EHHADH、ACADM和AGXT2)符合WGCNA和PPI网络分析的标准,与病理T分期(r = - 0.45,p = 0.01)和肿瘤分级(r = - 0.45,p = 0.01)呈最高负相关。使用TCGA数据库和我们研究所采集的样本均验证了这些枢纽基因下调。揭示了枢纽基因参与的生物学过程,如代谢过程(p = 9.63E - 09)、氧化还原过程(p = 1.05E - 08)和氧化还原酶活性(p = 1.72E - 04)。生存分析表明,这些枢纽基因表达较高或甲基化较低时,ccRCC患者生存期较长。枢纽基因表达较高的ccRCC样本富含与信号传导相关的基因集,如不饱和脂肪酸生物合成、丁酸代谢和PPAR信号通路。我们鉴定出三个与ccRCC病理T分期和总生存相关的新型肿瘤抑制因子。它们可能作为ccRCC的个体化治疗靶点和诊断生物标志物具有潜力。