Research Paper|Volume 11, Issue 16|pp 6237—6251

Prognostic value of long non-coding RNA signatures in bladder cancer

Anbang He^1,^2,^3,⁴, Shiming He^1,^2,^3,⁴, Ding Peng^1,^2,^3,⁴, Yonghao Zhan^1,^2,^3,⁴, Yifan Li^1,^2,^3,⁴, Zhicong Chen^1,^2,^3,⁴, Yanqing Gong^1,^2,^3,⁴, Xuesong Li^1,^2,^3,⁴, Liqun Zhou^1,^2,^3,⁴

¹Department of Urology, Peking University First Hospital, Beijing 100034, China
²Institute of Urology, Peking University, Beijing 100034, China
³National Urological Cancer Center, Beijing 100034, China
⁴Beijing Key Laboratory of Urogenital Diseases (Male) Molecular Diagnosis and Treatment Center, Beijing 100034, China

* Equal contribution

Received: March 27, 2019Accepted: August 10, 2019Published: August 20, 2019

https://doi.org/10.18632/aging.102185

Copyright © 2019 He et al. This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY) 3.0 License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Bladder cancer (BLCA) is a devastating cancer whose early diagnosis can ensure better prognosis. Aim of this study was to evaluate the potential utility of lncRNAs in constructing lncRNA-based classifiers of BLCA prognosis and recurrence. Based on the data concerning BLCA retrieved from TCGA, lncRNA-based classifiers for OS and RFS were built using the least absolute shrinkage and selection operation (LASSO) Cox regression model in the training cohorts. More specifically, a 14-lncRNA-based classifier for OS and a 12-lncRNA-based classifier for RFS were constructed using the LASSO Cox regression. According to the prediction value, patients were divided into high/low-risk groups based on the cut-off of the median risk-score. The log-rank test showed significant differences in OS and RFS between low- and high-risk groups in the training, validation and whole cohorts. In the time-dependent ROC curve analysis, the AUCs for OS in the first, third, and fifth year were 0.734, 0.78, and 0.78 respectively, whereas the prediction capability of the 14-lncRNA classifier was superior to a previously published lncRNA classifier. As for the RFS, the AUCs in the first, third, and fifth year were 0.755, 0.715, and 0.740 respectively. In summary, the two-lncRNA-based classifiers could serve as novel and independent prognostic factors for OS and RFS individually.