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Identification of the Six-RNA-Binding Protein Signature for Prognosis Prediction in Bladder Cancer
RNA-binding proteins (RBPs) are a kind of gene regulatory factor that presents a significant biological effect in the initiation and development of various tumors, including bladder cancer (BLCA). However, the RBP-based prognosis signature for BLCA has not been investigated. In this study, we attemp...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7493641/ https://www.ncbi.nlm.nih.gov/pubmed/32983230 http://dx.doi.org/10.3389/fgene.2020.00992 |
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author | Wu, Yucai Liu, Yi He, Anbang Guan, Bao He, Shiming Zhang, Cuijian Kang, Zhengjun Gong, Yanqing Li, Xuesong Zhou, Liqun |
author_facet | Wu, Yucai Liu, Yi He, Anbang Guan, Bao He, Shiming Zhang, Cuijian Kang, Zhengjun Gong, Yanqing Li, Xuesong Zhou, Liqun |
author_sort | Wu, Yucai |
collection | PubMed |
description | RNA-binding proteins (RBPs) are a kind of gene regulatory factor that presents a significant biological effect in the initiation and development of various tumors, including bladder cancer (BLCA). However, the RBP-based prognosis signature for BLCA has not been investigated. In this study, we attempted to develop an RBP-based classifier to predict overall survival (OS) for BLCA based on transcriptome analysis. We extracted data of BLCA patients from The Cancer Genome Atlas database (TCGA) and UCSC Xena. Finally, a total of 398 cases without missing clinical data were enrolled and six RBPs (FLNA, HSPG2, AHNAK, FASTKD3, POU5F1, and PCSK9) associated with OS of BLCA were identified through univariate and multivariate Cox regression analysis. Online analyses and immunohistochemistry validated the prognostic value and expression of six RBPs. Risk scores were calculated to divide patients into high-risk and low-risk level, and patients in the high-risk group tended to have a poor prognosis. In addition, the receiver operating characteristic (ROC) curve analysis was performed to assess the prognostic value of RBPs, and the area under the curve (AUC) values were 0.711 and 0.706, respectively, in the training set and validating set. The findings were further validated in an external validation set. Subsequently, the 6-RBP-based signature and pathological stage were used to construct the nomogram to predict the 3- and 5-years OS of BLCA patients. Also, this 6-RBP-based signature was highly related to recurrence-free survival of BLCA. Weighted co-expression network analysis (WGCNA) combined with functional enrichment analysis contributed to study the potential pathways of six RBPs, including keratinocyte differentiation, RHO GTPases activate PNKs, epithelial tube morphogenesis, establishment or maintenance of cell polarity, and so on. In summary, the 6-RBP-based signature holds the potentiality to serve as a novel prognostic predictor of OS for BLCA. |
format | Online Article Text |
id | pubmed-7493641 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74936412020-09-25 Identification of the Six-RNA-Binding Protein Signature for Prognosis Prediction in Bladder Cancer Wu, Yucai Liu, Yi He, Anbang Guan, Bao He, Shiming Zhang, Cuijian Kang, Zhengjun Gong, Yanqing Li, Xuesong Zhou, Liqun Front Genet Genetics RNA-binding proteins (RBPs) are a kind of gene regulatory factor that presents a significant biological effect in the initiation and development of various tumors, including bladder cancer (BLCA). However, the RBP-based prognosis signature for BLCA has not been investigated. In this study, we attempted to develop an RBP-based classifier to predict overall survival (OS) for BLCA based on transcriptome analysis. We extracted data of BLCA patients from The Cancer Genome Atlas database (TCGA) and UCSC Xena. Finally, a total of 398 cases without missing clinical data were enrolled and six RBPs (FLNA, HSPG2, AHNAK, FASTKD3, POU5F1, and PCSK9) associated with OS of BLCA were identified through univariate and multivariate Cox regression analysis. Online analyses and immunohistochemistry validated the prognostic value and expression of six RBPs. Risk scores were calculated to divide patients into high-risk and low-risk level, and patients in the high-risk group tended to have a poor prognosis. In addition, the receiver operating characteristic (ROC) curve analysis was performed to assess the prognostic value of RBPs, and the area under the curve (AUC) values were 0.711 and 0.706, respectively, in the training set and validating set. The findings were further validated in an external validation set. Subsequently, the 6-RBP-based signature and pathological stage were used to construct the nomogram to predict the 3- and 5-years OS of BLCA patients. Also, this 6-RBP-based signature was highly related to recurrence-free survival of BLCA. Weighted co-expression network analysis (WGCNA) combined with functional enrichment analysis contributed to study the potential pathways of six RBPs, including keratinocyte differentiation, RHO GTPases activate PNKs, epithelial tube morphogenesis, establishment or maintenance of cell polarity, and so on. In summary, the 6-RBP-based signature holds the potentiality to serve as a novel prognostic predictor of OS for BLCA. Frontiers Media S.A. 2020-08-28 /pmc/articles/PMC7493641/ /pubmed/32983230 http://dx.doi.org/10.3389/fgene.2020.00992 Text en Copyright © 2020 Wu, Liu, He, Guan, He, Zhang, Kang, Gong, Li and Zhou. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Wu, Yucai Liu, Yi He, Anbang Guan, Bao He, Shiming Zhang, Cuijian Kang, Zhengjun Gong, Yanqing Li, Xuesong Zhou, Liqun Identification of the Six-RNA-Binding Protein Signature for Prognosis Prediction in Bladder Cancer |
title | Identification of the Six-RNA-Binding Protein Signature for Prognosis Prediction in Bladder Cancer |
title_full | Identification of the Six-RNA-Binding Protein Signature for Prognosis Prediction in Bladder Cancer |
title_fullStr | Identification of the Six-RNA-Binding Protein Signature for Prognosis Prediction in Bladder Cancer |
title_full_unstemmed | Identification of the Six-RNA-Binding Protein Signature for Prognosis Prediction in Bladder Cancer |
title_short | Identification of the Six-RNA-Binding Protein Signature for Prognosis Prediction in Bladder Cancer |
title_sort | identification of the six-rna-binding protein signature for prognosis prediction in bladder cancer |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7493641/ https://www.ncbi.nlm.nih.gov/pubmed/32983230 http://dx.doi.org/10.3389/fgene.2020.00992 |
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