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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...

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Autores principales: Wu, Yucai, Liu, Yi, He, Anbang, Guan, Bao, He, Shiming, Zhang, Cuijian, Kang, Zhengjun, Gong, Yanqing, Li, Xuesong, Zhou, Liqun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
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.
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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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