Research Papers:

A five-long non-coding RNA signature to improve prognosis prediction of clear cell renal cell carcinoma

Da Shi, Qinghua Qu, Qimeng Chang, Yilin Wang, Yaping Gui and Dong Dong _

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Oncotarget. 2017; 8:58699-58708. https://doi.org/10.18632/oncotarget.17506

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Da Shi1,*, Qinghua Qu2,*, Qimeng Chang4, Yilin Wang5, Yaping Gui3 and Dong Dong1

1Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences, School of Life Sciences, East China Normal University, Shanghai, China

2Department of Urology, Pudong People’s Hospital, Shanghai, China

3Department of Urology, Tongji Hospital, Tongji University School of Medicine, Shanghai, China

4Department of General Surgery, Minhang Hospital, Fudan University, Shanghai, China

5Department of Hepatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China

*These authors have contributed equally to this work

Correspondence to:

Dong Dong, email: [email protected]

Yaping Gui, email: [email protected]

Keywords: long non-coding RNA, clear cell renal cell carcinoma, prognosis

Received: December 09, 2016    Accepted: March 22, 2017    Published: April 28, 2017


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 (AC069513.4, AC003092.1, CTC-205M6.2, RP11-507K2.3, U91328.21) 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.

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