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A BAP1 Mutation-specific MicroRNA Signature Predicts Clinical Outcomes in Clear Cell Renal Cell Carcinoma Patients with Wild-type BAP1
Background: Clear cell renal cell carcinoma (ccRCC) is the most prevalent histologic subtype of kidney cancers in adults, which could be divided into two distinct subgroups according to the BRCA1 associated protein-1 (BAP1) mutation status. In the current study, we comprehensively analyzed the genom...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Ivyspring International Publisher
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5595094/ https://www.ncbi.nlm.nih.gov/pubmed/28900502 http://dx.doi.org/10.7150/jca.20234 |
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author | Ge, Yu-Zheng Xu, Lu-Wei Zhou, Chang-Cheng Lu, Tian-Ze Yao, Wen-Tao Wu, Ran Zhao, You-Cai Xu, Xiao Hu, Zhi-Kai Wang, Min Yang, Xiao-Bing Zhou, Liu-Hua Zhong, Bing Xu, Zheng Li, Wen-Cheng Zhu, Jia-Geng Jia, Rui-Peng |
author_facet | Ge, Yu-Zheng Xu, Lu-Wei Zhou, Chang-Cheng Lu, Tian-Ze Yao, Wen-Tao Wu, Ran Zhao, You-Cai Xu, Xiao Hu, Zhi-Kai Wang, Min Yang, Xiao-Bing Zhou, Liu-Hua Zhong, Bing Xu, Zheng Li, Wen-Cheng Zhu, Jia-Geng Jia, Rui-Peng |
author_sort | Ge, Yu-Zheng |
collection | PubMed |
description | Background: Clear cell renal cell carcinoma (ccRCC) is the most prevalent histologic subtype of kidney cancers in adults, which could be divided into two distinct subgroups according to the BRCA1 associated protein-1 (BAP1) mutation status. In the current study, we comprehensively analyzed the genome-wide microRNA (miRNA) expression profiles in ccRCC, with the aim to identify the differentially expressed miRNAs between BAP1 mutant and wild-type tumors, and generate a BAP1 mutation-specific miRNA signature for ccRCC patients with wild-type BAP1. Methods: The BAP1 mutation status and miRNA profiles in BAP1 mutant and wild-type tumors were analyzed. Subsequently, the association of the differentially expressed miRNAs with patient survival was examined, and a BAP1 mutation-specific miRNA signature was generated and examined with Kaplan-Meier survival, univariate and multivariate Cox regression analyses. Finally, the bioinformatics methods were adopted for the target prediction of selected miRNAs and functional annotation analyses. Results: A total of 350 treatment-naïve primary ccRCC patients were selected from The Cancer Genome Atlas project, among which 35 (10.0%) subjects carried mutant BAP1 and had a shorter overall survival (OS) time. Furthermore, 33 miRNAs were found to be differentially expressed between BAP1 mutant and wild-type tumors, among which 11 (miR-149, miR-29b-2, miR-182, miR-183, miR-21, miR-365-2, miR-671, miR-365-1, miR-10b, miR-139, and miR-181a-2) were significantly associated with OS in ccRCC patients with wild-type BAP1. Finally, a BAP1 mutation-specific miRNA signature consisting of 11 miRNAs was generated and validated as an independent prognostic parameter. Conclusions: In summary, our study identified a total of 33 miRNAs differentially expressed between BAP1 mutant and wild-type tumors, and generated a BAP1 mutation-specific miRNA signature including eleven miRNAs, which could serve as a novel prognostic biomarker for ccRCC patients with wild-type BAP1. |
format | Online Article Text |
id | pubmed-5595094 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Ivyspring International Publisher |
record_format | MEDLINE/PubMed |
spelling | pubmed-55950942017-09-12 A BAP1 Mutation-specific MicroRNA Signature Predicts Clinical Outcomes in Clear Cell Renal Cell Carcinoma Patients with Wild-type BAP1 Ge, Yu-Zheng Xu, Lu-Wei Zhou, Chang-Cheng Lu, Tian-Ze Yao, Wen-Tao Wu, Ran Zhao, You-Cai Xu, Xiao Hu, Zhi-Kai Wang, Min Yang, Xiao-Bing Zhou, Liu-Hua Zhong, Bing Xu, Zheng Li, Wen-Cheng Zhu, Jia-Geng Jia, Rui-Peng J Cancer Research Paper Background: Clear cell renal cell carcinoma (ccRCC) is the most prevalent histologic subtype of kidney cancers in adults, which could be divided into two distinct subgroups according to the BRCA1 associated protein-1 (BAP1) mutation status. In the current study, we comprehensively analyzed the genome-wide microRNA (miRNA) expression profiles in ccRCC, with the aim to identify the differentially expressed miRNAs between BAP1 mutant and wild-type tumors, and generate a BAP1 mutation-specific miRNA signature for ccRCC patients with wild-type BAP1. Methods: The BAP1 mutation status and miRNA profiles in BAP1 mutant and wild-type tumors were analyzed. Subsequently, the association of the differentially expressed miRNAs with patient survival was examined, and a BAP1 mutation-specific miRNA signature was generated and examined with Kaplan-Meier survival, univariate and multivariate Cox regression analyses. Finally, the bioinformatics methods were adopted for the target prediction of selected miRNAs and functional annotation analyses. Results: A total of 350 treatment-naïve primary ccRCC patients were selected from The Cancer Genome Atlas project, among which 35 (10.0%) subjects carried mutant BAP1 and had a shorter overall survival (OS) time. Furthermore, 33 miRNAs were found to be differentially expressed between BAP1 mutant and wild-type tumors, among which 11 (miR-149, miR-29b-2, miR-182, miR-183, miR-21, miR-365-2, miR-671, miR-365-1, miR-10b, miR-139, and miR-181a-2) were significantly associated with OS in ccRCC patients with wild-type BAP1. Finally, a BAP1 mutation-specific miRNA signature consisting of 11 miRNAs was generated and validated as an independent prognostic parameter. Conclusions: In summary, our study identified a total of 33 miRNAs differentially expressed between BAP1 mutant and wild-type tumors, and generated a BAP1 mutation-specific miRNA signature including eleven miRNAs, which could serve as a novel prognostic biomarker for ccRCC patients with wild-type BAP1. Ivyspring International Publisher 2017-08-21 /pmc/articles/PMC5595094/ /pubmed/28900502 http://dx.doi.org/10.7150/jca.20234 Text en © Ivyspring International Publisher This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY-NC) license (https://creativecommons.org/licenses/by-nc/4.0/). See http://ivyspring.com/terms for full terms and conditions. |
spellingShingle | Research Paper Ge, Yu-Zheng Xu, Lu-Wei Zhou, Chang-Cheng Lu, Tian-Ze Yao, Wen-Tao Wu, Ran Zhao, You-Cai Xu, Xiao Hu, Zhi-Kai Wang, Min Yang, Xiao-Bing Zhou, Liu-Hua Zhong, Bing Xu, Zheng Li, Wen-Cheng Zhu, Jia-Geng Jia, Rui-Peng A BAP1 Mutation-specific MicroRNA Signature Predicts Clinical Outcomes in Clear Cell Renal Cell Carcinoma Patients with Wild-type BAP1 |
title | A BAP1 Mutation-specific MicroRNA Signature Predicts Clinical Outcomes in Clear Cell Renal Cell Carcinoma Patients with Wild-type BAP1 |
title_full | A BAP1 Mutation-specific MicroRNA Signature Predicts Clinical Outcomes in Clear Cell Renal Cell Carcinoma Patients with Wild-type BAP1 |
title_fullStr | A BAP1 Mutation-specific MicroRNA Signature Predicts Clinical Outcomes in Clear Cell Renal Cell Carcinoma Patients with Wild-type BAP1 |
title_full_unstemmed | A BAP1 Mutation-specific MicroRNA Signature Predicts Clinical Outcomes in Clear Cell Renal Cell Carcinoma Patients with Wild-type BAP1 |
title_short | A BAP1 Mutation-specific MicroRNA Signature Predicts Clinical Outcomes in Clear Cell Renal Cell Carcinoma Patients with Wild-type BAP1 |
title_sort | bap1 mutation-specific microrna signature predicts clinical outcomes in clear cell renal cell carcinoma patients with wild-type bap1 |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5595094/ https://www.ncbi.nlm.nih.gov/pubmed/28900502 http://dx.doi.org/10.7150/jca.20234 |
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