一种用于改善透明细胞肾细胞癌预后预测的五长非编码RNA特征。
A five-long non-coding RNA signature to improve prognosis prediction of clear cell renal cell carcinoma.
作者信息
Shi Da, Qu Qinghua, Chang Qimeng, Wang Yilin, Gui Yaping, Dong Dong
机构信息
Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences, School of Life Sciences, East China Normal University, Shanghai, China.
Department of Urology, Pudong People's Hospital, Shanghai, China.
出版信息
Oncotarget. 2017 Apr 28;8(35):58699-58708. doi: 10.18632/oncotarget.17506. eCollection 2017 Aug 29.
Recent works have reported that long non-coding RNAs (lncRNAs) play critical roles in tumorigenesis and prognosis of cancers, suggesting the potential utility of lncRNAs as cancer prognostic markers. However, lncRNA signatures in predicting the survival of patients with clear cell renal cell carcinoma (ccRCC) remain unknown. In this study, we attempted to identify lncRNA signatures and their prognostic values in ccRCC. Using lncRNA expression profiling data in 440 ccRCC tumors from The Cancer Genome Atlas (TCGA) data, a five-lncRNA signature (, , , , ) has been identified to be significantly associated with ccRCC patients' overall survival in both training set and testing set. Based on the lncRNA signature, ccRCC patients could be divided into high-risk and low-risk group with significantly different survival rate. Further multivariable Cox regression analysis suggested that the prognostic value of this signature was independent of clinical factors. Functional enrichment analyses showed the potential functional roles of the five prognostic lncRNAs in ccRCC oncogenesis. These results indicated that this five-lncRNA signature could be used as an independent prognostic biomarker in the prediction of ccRCC patients' survival.
近期研究报道,长链非编码RNA(lncRNA)在癌症的发生发展及预后中发挥关键作用,这表明lncRNA作为癌症预后标志物具有潜在应用价值。然而,用于预测肾透明细胞癌(ccRCC)患者生存情况的lncRNA特征仍不明确。在本研究中,我们试图鉴定ccRCC中的lncRNA特征及其预后价值。利用来自癌症基因组图谱(TCGA)数据中440例ccRCC肿瘤的lncRNA表达谱数据,已鉴定出一个由五个lncRNA组成的特征(、、、、),其在训练集和测试集中均与ccRCC患者的总生存期显著相关。基于该lncRNA特征,ccRCC患者可被分为高风险组和低风险组,两组生存率差异显著。进一步的多变量Cox回归分析表明,该特征的预后价值独立于临床因素。功能富集分析显示了这五个预后lncRNA在ccRCC肿瘤发生中的潜在功能作用。这些结果表明,这个由五个lncRNA组成的特征可作为预测ccRCC患者生存情况的独立预后生物标志物。