J Cancer 2020; 11(1):108-120. doi:10.7150/jca.35801 This issue

Research Paper

Identification of a six-lncRNA signature based on a competing endogenous RNA network for predicting the risk of tumour recurrence in bladder cancer patients

Danfeng Zhao1,2*, Qiang Peng1*, Lu Wang1,2*, Cong Li1, Yulin Lv1,2, Yong Liu3, Zhichao Wang1, Ruizhe Fang1, Jiaqi Wang1,2, Zhongqing Liu1, Wanhai Xu1,2✉

1. Department of Urology, the Fourth Hospital of Harbin Medical University, Harbin Medical University, Harbin, P. R. China.
2. Heilongjiang Key Laboratory of Scientific Research in Urology, Harbin, P. R. China.
3. Department of Urology, Qitaihe People's Hospital, Qitaihe, P.R. China.
*These authors contributed equally to this work

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Citation:
Zhao D, Peng Q, Wang L, Li C, Lv Y, Liu Y, Wang Z, Fang R, Wang J, Liu Z, Xu W. Identification of a six-lncRNA signature based on a competing endogenous RNA network for predicting the risk of tumour recurrence in bladder cancer patients. J Cancer 2020; 11(1):108-120. doi:10.7150/jca.35801. Available from https://www.jcancer.org/v11p0108.htm

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Abstract

Bladder cancer (BC) is the most common malignancy involving the urinary system, and is characterized by a high recurrence rate. It is important to identify potential lncRNA signatures capable of predicting tumour recurrence risk and assessing recurrence prognosis in BC patients. We extracted data from The Cancer Genome Atlas and identified 381 differentially expressed lncRNAs, 855 mRNAs and 70 miRNAs between non-recurrent and recurrent BC tissues. Subsequently, a competing endogenous RNA (ceRNA) network composed of 29 lncRNAs, 13 miRNAs and 4 mRNAs was established. We used univariate and multivariate Cox regression to analyse the relationship between the 29 lncRNAs and recurrence-free survival (RFS) in BC patients. Six lncRNAs had significant prognostic values, and their cumulative risk score indicated that this 6-lncRNA signature independently predicted RFS in BC patients. We applied a receiver operating characteristic (ROC) analysis to assess the efficiency of our prognostic models. High-risk patients exhibited a poorer prognosis than low-risk patients did. Additionally, the 6-lncRNA signature showed a significant correlation with BC clinicopathological characteristics, which indicates that it could be used for effective risk stratification. The current study provides novel insights into the lncRNA-related ceRNA network and this 6-lncRNA signature may be an independent prognostic factor in predicting the recurrence of BC patients.

Keywords: Bladder cancer, Recurrence risk, Recurrence free survival, LncRNA, ceRNA network