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Integrated analysis of the functions and prognostic values of RNA-binding proteins in neuroblastoma

BACKGROUND: Neuroblastoma (NB) is the most common solid tumor in children. NB treatment has made significant progress; however, given the high degree of heterogeneity, basic research findings and their clinical application to NB still face challenges. Herein, we identify novel prognostic models for...

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Autores principales: Yang, Jun, Zhou, Jiaying, Li, Cuili, Wang, Shaohua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8654225/
https://www.ncbi.nlm.nih.gov/pubmed/34879089
http://dx.doi.org/10.1371/journal.pone.0260876
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author Yang, Jun
Zhou, Jiaying
Li, Cuili
Wang, Shaohua
author_facet Yang, Jun
Zhou, Jiaying
Li, Cuili
Wang, Shaohua
author_sort Yang, Jun
collection PubMed
description BACKGROUND: Neuroblastoma (NB) is the most common solid tumor in children. NB treatment has made significant progress; however, given the high degree of heterogeneity, basic research findings and their clinical application to NB still face challenges. Herein, we identify novel prognostic models for NB. METHODS: We obtained RNA expression data of NB and normal nervous tissue from TARGET and GTEx databases and determined the differential expression patterns of RNA binding protein (RBP) genes between normal and cancerous tissues. Lasso regression and Cox regression analyses identified the five most important differentially expressed genes and were used to construct a new prognostic model. The function and prognostic value of these RBPs were systematically studied and the predictive accuracy verified in an independent dataset. RESULTS: In total, 348 differentially expressed RBPs were identified. Of these, 166 were up-regulated and 182 down-regulated RBPs. Two hubs RBPs (CPEB3 and CTU1) were identified as prognostic-related genes and were chosen to build the prognostic risk score models. Multivariate Cox analysis was performed on genes from univariate Cox regression and Lasso regression analysis using proportional hazards regression model. A five gene prognostic model: Risk score = (-0.60901*expCPEB3)+(0.851637*expCTU1) was built. Based on this model, the overall survival of patients in the high-risk subgroup was lower (P = 2.152e-04). The area under the curve (AUC) of the receiver-operator characteristic curve of the prognostic model was 0.720 in the TARGET cohort. There were significant differences in the survival rate of patients in the high and low-risk subgroups in the validation data set GSE85047 (P = 0.1237e-08), with the AUC 0.730. The risk model was also regarded as an independent predictor of prognosis (HR = 1.535, 95% CI = 1.368–1.722, P = 2.69E-13). CONCLUSIONS: This study identified a potential risk model for prognosis in NB using Cox regression analysis. RNA binding proteins (CPEB3 and CTU1) can be used as molecular markers of NB.
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spelling pubmed-86542252021-12-09 Integrated analysis of the functions and prognostic values of RNA-binding proteins in neuroblastoma Yang, Jun Zhou, Jiaying Li, Cuili Wang, Shaohua PLoS One Research Article BACKGROUND: Neuroblastoma (NB) is the most common solid tumor in children. NB treatment has made significant progress; however, given the high degree of heterogeneity, basic research findings and their clinical application to NB still face challenges. Herein, we identify novel prognostic models for NB. METHODS: We obtained RNA expression data of NB and normal nervous tissue from TARGET and GTEx databases and determined the differential expression patterns of RNA binding protein (RBP) genes between normal and cancerous tissues. Lasso regression and Cox regression analyses identified the five most important differentially expressed genes and were used to construct a new prognostic model. The function and prognostic value of these RBPs were systematically studied and the predictive accuracy verified in an independent dataset. RESULTS: In total, 348 differentially expressed RBPs were identified. Of these, 166 were up-regulated and 182 down-regulated RBPs. Two hubs RBPs (CPEB3 and CTU1) were identified as prognostic-related genes and were chosen to build the prognostic risk score models. Multivariate Cox analysis was performed on genes from univariate Cox regression and Lasso regression analysis using proportional hazards regression model. A five gene prognostic model: Risk score = (-0.60901*expCPEB3)+(0.851637*expCTU1) was built. Based on this model, the overall survival of patients in the high-risk subgroup was lower (P = 2.152e-04). The area under the curve (AUC) of the receiver-operator characteristic curve of the prognostic model was 0.720 in the TARGET cohort. There were significant differences in the survival rate of patients in the high and low-risk subgroups in the validation data set GSE85047 (P = 0.1237e-08), with the AUC 0.730. The risk model was also regarded as an independent predictor of prognosis (HR = 1.535, 95% CI = 1.368–1.722, P = 2.69E-13). CONCLUSIONS: This study identified a potential risk model for prognosis in NB using Cox regression analysis. RNA binding proteins (CPEB3 and CTU1) can be used as molecular markers of NB. Public Library of Science 2021-12-08 /pmc/articles/PMC8654225/ /pubmed/34879089 http://dx.doi.org/10.1371/journal.pone.0260876 Text en © 2021 Yang et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Yang, Jun
Zhou, Jiaying
Li, Cuili
Wang, Shaohua
Integrated analysis of the functions and prognostic values of RNA-binding proteins in neuroblastoma
title Integrated analysis of the functions and prognostic values of RNA-binding proteins in neuroblastoma
title_full Integrated analysis of the functions and prognostic values of RNA-binding proteins in neuroblastoma
title_fullStr Integrated analysis of the functions and prognostic values of RNA-binding proteins in neuroblastoma
title_full_unstemmed Integrated analysis of the functions and prognostic values of RNA-binding proteins in neuroblastoma
title_short Integrated analysis of the functions and prognostic values of RNA-binding proteins in neuroblastoma
title_sort integrated analysis of the functions and prognostic values of rna-binding proteins in neuroblastoma
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8654225/
https://www.ncbi.nlm.nih.gov/pubmed/34879089
http://dx.doi.org/10.1371/journal.pone.0260876
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