Ge Yu-Zheng, Wu Ran, Xin Hui, Zhu Meng, Lu Tian-Ze, Liu Hao, Xu Zheng, Yu Peng, Zhao You-Cai, Li Ming-Hao, Hu Zhi-Kai, Zhao Yan, Zhong Bing, Xu Xiao, Zhou Liu-Hua, Xu Lu-Wei, Wu Jian-Ping, Li Wen-Cheng, Zhu Jia-Geng, Jia Rui-Peng
Department of Urology, Nanjing First Hospital, Nanjing Medical University, 68 Changle Road, Nanjing, 210006, China.
J Cancer Res Clin Oncol. 2015 Jul;141(7):1291-9. doi: 10.1007/s00432-015-1927-0. Epub 2015 Jan 30.
Clear cell renal cell carcinoma (ccRCC) is the most common subtype of kidney cancers in adults, and microRNAs (miRNAs) differentially expressed in ccRCC tumors have been identified and proposed to predict prognosis. In the present study, we comprehensively analyzed the genome-wide miRNA expression profiles in ccRCC, with the aim to generate a tumor-specific miRNA signature of prognostic values.
The miRNA profiles in tumor and the adjacent normal tissue were analyzed, and the association of the differentially expressed miRNAs with patient survival was examined with univariate Cox regression analysis. Finally, a tumor-specific miRNA signature was generated and examined with Kaplan-Meier survival, univariate, and multivariate Cox regression analyses.
A total of 147 miRNAs were found differentially expressed between tumor and matched non-tumor tissues from 58 ccRCC patients. The prognostic values of these differentially expressed miRNAs were subsequently analyzed in the 411 ccRCC patients, and 22 miRNAs were found significantly correlated with patient survival. Finally, a tumor-specific miRNA signature of 22 miRNAs was generated and validated as an independent prognostic parameter.
A tumor-specific miRNA signature consisting of 22 miRNAs was identified and validated as an independent prognostic factor, which could serve as a novel biomarker for ccRCC prognostication and help in predicting treatment outcome.
透明细胞肾细胞癌（ccRCC）是成人肾癌最常见的亚型，已鉴定出在ccRCC肿瘤中差异表达的微小RNA（miRNA），并提出其可预测预后。在本研究中，我们全面分析了ccRCC中全基因组miRNA表达谱，旨在生成具有预后价值的肿瘤特异性miRNA特征。
分析肿瘤组织和相邻正常组织中的miRNA谱，并通过单变量Cox回归分析检查差异表达的miRNA与患者生存的相关性。最后，生成肿瘤特异性miRNA特征，并通过Kaplan-Meier生存分析、单变量和多变量Cox回归分析进行检验。
在58例ccRCC患者的肿瘤组织和配对的非肿瘤组织之间共发现147个miRNA差异表达。随后在411例ccRCC患者中分析了这些差异表达的miRNA的预后价值，发现22个miRNA与患者生存显著相关。最后，生成了一个由22个miRNA组成的肿瘤特异性miRNA特征，并验证其为独立的预后参数。
鉴定并验证了一个由22个miRNA组成的肿瘤特异性miRNA特征作为独立的预后因素，其可作为ccRCC预后的新型生物标志物并有助于预测治疗结果。
