Research Paper Volume 11, Issue 17 pp 6930—6940
An eight-long non-coding RNA signature as a candidate prognostic biomarker for bladder cancer
- 1 Department of Urology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS & PUMC), Beijing 100730, China
- 2 Department of General Surgery, Tangdu Hospital, Fourth Military Medical University, Xi’an 710032, China
- 3 Biomedicine Application Laboratory, School of Life Science and Technology, Xidian University, Xi’an 710038, China
- 4 State Key Laboratory of Cancer Biology and Experimental Teaching Center of Basic Medicine, Fourth Military Medical University, Xi’an 710032, China
- 5 Department of Clinical Oncology, Xijing Hospital, Fourth Military Medical University, Xi’an 710032, China
Received: January 7, 2019 Accepted: August 16, 2019 Published: September 3, 2019
https://doi.org/10.18632/aging.102225How to Cite
Copyright © 2019 Lian et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
Backgroud: Bladder cancer (BLCA) is one of the most fatal types of cancer worldwide. However, there are limited methods for us to provide a prognostic prediction of BLCA patients. Therefore, we aimed at developing a lncRNA signature to improve the prognosis prediction of BLCA.
Results: An eight-lncRNA signature was significantly associated with recurrence free survival in BLCA patients from both discovery and validation groups. Furthermore, genes involved in the signature were enriched in extracellular matrix organization pathway. Finally, functional experiments demonstrated that six out of the eight lncRNAs significantly regulated the invasion of BLCA cells.
Method: A total of 343 BLCA patients from The Cancer Genome Atlas (TCGA) were employed and randomly divided into training (n=172) and validating (n=171) groups. The lncRNA expression profiles of BLCA patients were screened and a risk-score formula were created and validated according to the Cox regression analysis. Next, WGCNA method was employed to cluster genes that highly correlated with the risk scores based on the profiling data of TCGA dataset and transwell assay was also performed to further investigate the role of these lncRNAs.
Conclusions: Our results suggested that the eight-lncRNA signature was a candidate prognostic biomarker for predicting tumor recurrence of patients with BLCA.