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A Three Protein-Coding Gene Prognostic Model Predicts Overall Survival in Bladder Cancer Patients

Bladder cancer (BLCA) is the most common urinary tract tumor and is the 11th most malignant cancer worldwide. With the development of in-depth multisystem sequencing, an increasing number of prognostic molecular markers have been identified. In this study, we focused on the role of protein-coding ge...

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Autores principales: Ning, Xiang-hui, Qi, Yuan-yuan, Wang, Fang-xin, Li, Song-chao, Jia, Zhan-kui, Yang, Jin-jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7603549/
https://www.ncbi.nlm.nih.gov/pubmed/33150179
http://dx.doi.org/10.1155/2020/7272960
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author Ning, Xiang-hui
Qi, Yuan-yuan
Wang, Fang-xin
Li, Song-chao
Jia, Zhan-kui
Yang, Jin-jian
author_facet Ning, Xiang-hui
Qi, Yuan-yuan
Wang, Fang-xin
Li, Song-chao
Jia, Zhan-kui
Yang, Jin-jian
author_sort Ning, Xiang-hui
collection PubMed
description Bladder cancer (BLCA) is the most common urinary tract tumor and is the 11th most malignant cancer worldwide. With the development of in-depth multisystem sequencing, an increasing number of prognostic molecular markers have been identified. In this study, we focused on the role of protein-coding gene methylation in the prognosis of BLCA. We downloaded BLCA clinical and methylation data from The Cancer Genome Atlas (TCGA) database and used this information to identify differentially methylated genes and construct a survival model using lasso regression. We assessed 365 cases, with complete information regarding survival status, survival time longer than 30 days, age, gender, and tumor characteristics (grade, stage, T, M, N), in our study. We identified 353 differentially methylated genes, including 50 hypomethylated genes and 303 hypermethylated genes. After annotation, a total of 227 genes were differentially expressed. Of these, 165 were protein-coding genes. Three genes (zinc finger protein 382 (ZNF382), galanin receptor 1 (GALR1), and structural maintenance of chromosomes flexible hinge domain containing 1 (SMCHD1)) were selected for the final risk model. Patients with higher-risk scores represent poorer survival than patients with lower-risk scores in the training set (HR = 2.37, 95% CI 1.43-3.94, p = 0.001), in the testing group (HR = 1.85, 95% CI 1.16-2.94, p = 0.01), and in the total cohort (HR = 2.06, 95% CI 1.46-2.90, p < 0.001). Further univariate and multivariate analyses using the Cox regression method were conducted in these three groups, respectively. All the results indicated that risk score was an independent risk factor for BLCA. Our study screened the different methylation protein-coding genes in the BLCA tissues and constructed a robust risk model for predicting the outcome of BLCA patients. Moreover, these three genes may function in the mechanism of development and progression of BLCA, which should be fully clarified in the future.
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spelling pubmed-76035492020-11-03 A Three Protein-Coding Gene Prognostic Model Predicts Overall Survival in Bladder Cancer Patients Ning, Xiang-hui Qi, Yuan-yuan Wang, Fang-xin Li, Song-chao Jia, Zhan-kui Yang, Jin-jian Biomed Res Int Research Article Bladder cancer (BLCA) is the most common urinary tract tumor and is the 11th most malignant cancer worldwide. With the development of in-depth multisystem sequencing, an increasing number of prognostic molecular markers have been identified. In this study, we focused on the role of protein-coding gene methylation in the prognosis of BLCA. We downloaded BLCA clinical and methylation data from The Cancer Genome Atlas (TCGA) database and used this information to identify differentially methylated genes and construct a survival model using lasso regression. We assessed 365 cases, with complete information regarding survival status, survival time longer than 30 days, age, gender, and tumor characteristics (grade, stage, T, M, N), in our study. We identified 353 differentially methylated genes, including 50 hypomethylated genes and 303 hypermethylated genes. After annotation, a total of 227 genes were differentially expressed. Of these, 165 were protein-coding genes. Three genes (zinc finger protein 382 (ZNF382), galanin receptor 1 (GALR1), and structural maintenance of chromosomes flexible hinge domain containing 1 (SMCHD1)) were selected for the final risk model. Patients with higher-risk scores represent poorer survival than patients with lower-risk scores in the training set (HR = 2.37, 95% CI 1.43-3.94, p = 0.001), in the testing group (HR = 1.85, 95% CI 1.16-2.94, p = 0.01), and in the total cohort (HR = 2.06, 95% CI 1.46-2.90, p < 0.001). Further univariate and multivariate analyses using the Cox regression method were conducted in these three groups, respectively. All the results indicated that risk score was an independent risk factor for BLCA. Our study screened the different methylation protein-coding genes in the BLCA tissues and constructed a robust risk model for predicting the outcome of BLCA patients. Moreover, these three genes may function in the mechanism of development and progression of BLCA, which should be fully clarified in the future. Hindawi 2020-10-10 /pmc/articles/PMC7603549/ /pubmed/33150179 http://dx.doi.org/10.1155/2020/7272960 Text en Copyright © 2020 Xiang-hui Ning et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Ning, Xiang-hui
Qi, Yuan-yuan
Wang, Fang-xin
Li, Song-chao
Jia, Zhan-kui
Yang, Jin-jian
A Three Protein-Coding Gene Prognostic Model Predicts Overall Survival in Bladder Cancer Patients
title A Three Protein-Coding Gene Prognostic Model Predicts Overall Survival in Bladder Cancer Patients
title_full A Three Protein-Coding Gene Prognostic Model Predicts Overall Survival in Bladder Cancer Patients
title_fullStr A Three Protein-Coding Gene Prognostic Model Predicts Overall Survival in Bladder Cancer Patients
title_full_unstemmed A Three Protein-Coding Gene Prognostic Model Predicts Overall Survival in Bladder Cancer Patients
title_short A Three Protein-Coding Gene Prognostic Model Predicts Overall Survival in Bladder Cancer Patients
title_sort three protein-coding gene prognostic model predicts overall survival in bladder cancer patients
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7603549/
https://www.ncbi.nlm.nih.gov/pubmed/33150179
http://dx.doi.org/10.1155/2020/7272960
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