Identification of a novel metabolism-related gene signature associated with the survival of bladder cancer

Abstract Background Bladder cancer (BC) is one of the most common malignancies and has a relatively poor outcome worldwide. In this study, we attempted to construct a novel metabolism-related gene (MRG) signature for predicting the survival probability of BC patients. Methods First, differentially e...

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Autores principales:	Xiaotao Li, Shi Fu, Yinglong Huang, Ting Luan, Haifeng Wang, Jiansong Wang
Formato:	article
Lenguaje:	EN
Publicado:	BMC 2021
Materias:	Bladder cancer Metabolism-related gene TCGA GEO Prognosis Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
Acceso en línea:	https://doaj.org/article/a4111157aecf425f9cd95a95f1e740bd
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spelling	oai:doaj.org-article:a4111157aecf425f9cd95a95f1e740bd2021-11-28T12:27:46ZIdentification of a novel metabolism-related gene signature associated with the survival of bladder cancer10.1186/s12885-021-09006-w1471-2407https://doaj.org/article/a4111157aecf425f9cd95a95f1e740bd2021-11-01T00:00:00Zhttps://doi.org/10.1186/s12885-021-09006-whttps://doaj.org/toc/1471-2407Abstract Background Bladder cancer (BC) is one of the most common malignancies and has a relatively poor outcome worldwide. In this study, we attempted to construct a novel metabolism-related gene (MRG) signature for predicting the survival probability of BC patients. Methods First, differentially expressed MRGs between BC and normal samples were identified and used to construct a protein-protein interaction (PPI) network and perform mutation analysis. Next, univariate Cox regression analysis was utilized to select prognostic genes, and multivariate Cox regression analysis was applied to establish an MRG signature for predicting the survival probability of BC patients. Moreover, Kaplan-Meier (KM) survival analysis and receiver operating characteristic (ROC) analysis were performed to evaluate the predictive capability of the MRG signature. Finally, a nomogram based on the MRG signature was established to better predict the survival of BC. Results In the present study, 27 differentially expressed MRGs were identified, most of which presented mutations in BC patients, and LRP1 showed the highest mutation rate. Next, an MRG signature, including MAOB, FASN and LRP1, was established by using univariate and multivariate Cox regression analysis. Furthermore, survival analysis indicated that BC patients in the high-risk group had a dramatically lower survival probability than those in the low-risk group. Finally, Cox regression analysis showed that the risk score was an independent prognostic factor, and a nomogram integrating age, pathological tumor stage and risk score was established and presented good predictive ability. Conclusion We successfully constructed a novel MRG signature to predict the prognosis of BC patients, which might contribute to the clinical treatment of BC.Xiaotao LiShi FuYinglong HuangTing LuanHaifeng WangJiansong WangBMCarticleBladder cancerMetabolism-related geneTCGAGEOPrognosisNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENBMC Cancer, Vol 21, Iss 1, Pp 1-14 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Bladder cancer Metabolism-related gene TCGA GEO Prognosis Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
spellingShingle	Bladder cancer Metabolism-related gene TCGA GEO Prognosis Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 Xiaotao Li Shi Fu Yinglong Huang Ting Luan Haifeng Wang Jiansong Wang Identification of a novel metabolism-related gene signature associated with the survival of bladder cancer
description	Abstract Background Bladder cancer (BC) is one of the most common malignancies and has a relatively poor outcome worldwide. In this study, we attempted to construct a novel metabolism-related gene (MRG) signature for predicting the survival probability of BC patients. Methods First, differentially expressed MRGs between BC and normal samples were identified and used to construct a protein-protein interaction (PPI) network and perform mutation analysis. Next, univariate Cox regression analysis was utilized to select prognostic genes, and multivariate Cox regression analysis was applied to establish an MRG signature for predicting the survival probability of BC patients. Moreover, Kaplan-Meier (KM) survival analysis and receiver operating characteristic (ROC) analysis were performed to evaluate the predictive capability of the MRG signature. Finally, a nomogram based on the MRG signature was established to better predict the survival of BC. Results In the present study, 27 differentially expressed MRGs were identified, most of which presented mutations in BC patients, and LRP1 showed the highest mutation rate. Next, an MRG signature, including MAOB, FASN and LRP1, was established by using univariate and multivariate Cox regression analysis. Furthermore, survival analysis indicated that BC patients in the high-risk group had a dramatically lower survival probability than those in the low-risk group. Finally, Cox regression analysis showed that the risk score was an independent prognostic factor, and a nomogram integrating age, pathological tumor stage and risk score was established and presented good predictive ability. Conclusion We successfully constructed a novel MRG signature to predict the prognosis of BC patients, which might contribute to the clinical treatment of BC.
format	article
author	Xiaotao Li Shi Fu Yinglong Huang Ting Luan Haifeng Wang Jiansong Wang
author_facet	Xiaotao Li Shi Fu Yinglong Huang Ting Luan Haifeng Wang Jiansong Wang
author_sort	Xiaotao Li
title	Identification of a novel metabolism-related gene signature associated with the survival of bladder cancer
title_short	Identification of a novel metabolism-related gene signature associated with the survival of bladder cancer
title_full	Identification of a novel metabolism-related gene signature associated with the survival of bladder cancer
title_fullStr	Identification of a novel metabolism-related gene signature associated with the survival of bladder cancer
title_full_unstemmed	Identification of a novel metabolism-related gene signature associated with the survival of bladder cancer
title_sort	identification of a novel metabolism-related gene signature associated with the survival of bladder cancer
publisher	BMC
publishDate	2021
url	https://doaj.org/article/a4111157aecf425f9cd95a95f1e740bd
work_keys_str_mv	AT xiaotaoli identificationofanovelmetabolismrelatedgenesignatureassociatedwiththesurvivalofbladdercancer AT shifu identificationofanovelmetabolismrelatedgenesignatureassociatedwiththesurvivalofbladdercancer AT yinglonghuang identificationofanovelmetabolismrelatedgenesignatureassociatedwiththesurvivalofbladdercancer AT tingluan identificationofanovelmetabolismrelatedgenesignatureassociatedwiththesurvivalofbladdercancer AT haifengwang identificationofanovelmetabolismrelatedgenesignatureassociatedwiththesurvivalofbladdercancer AT jiansongwang identificationofanovelmetabolismrelatedgenesignatureassociatedwiththesurvivalofbladdercancer
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Identification of a novel metabolism-related gene signature associated with the survival of bladder cancer

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