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Identification of metabolism-associated genes and construction of a prognostic signature in bladder cancer

BACKGROUND: Bladder cancer (BC) is a commonly diagnosed malignant tumor in the urinary system, with a high morbidity and a high recurrence rate. Current studies indicated that metabolism-associated genes (MAGs) having critical roles in the etiology of BC. The present study aims to identify different...

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Autores principales: Shen, Chengquan, Liu, Jing, Wang, Liping, Liang, Zhijuan, Niu, Haitao, Wang, Yonghua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7643334/
https://www.ncbi.nlm.nih.gov/pubmed/33292266
http://dx.doi.org/10.1186/s12935-020-01627-8
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author Shen, Chengquan
Liu, Jing
Wang, Liping
Liang, Zhijuan
Niu, Haitao
Wang, Yonghua
author_facet Shen, Chengquan
Liu, Jing
Wang, Liping
Liang, Zhijuan
Niu, Haitao
Wang, Yonghua
author_sort Shen, Chengquan
collection PubMed
description BACKGROUND: Bladder cancer (BC) is a commonly diagnosed malignant tumor in the urinary system, with a high morbidity and a high recurrence rate. Current studies indicated that metabolism-associated genes (MAGs) having critical roles in the etiology of BC. The present study aims to identify differentially expressed MAGs and construct a MAGs based prognostic risk signature for BC by using The Cancer Genome Atlas (TCGA) database and proteomics data. METHODS: RNA-sequence data from the TCGA database and proteomics data from our BC samples were used to identify differentially expressed MAGs and construct a MAGs based prognostic signature in BC. Subsequently, survival analysis and nomogram were used to evaluate the prognostic and predictive value of the MAGs based signature in BC. RNA isolation and reverse transcription‑quantitative PCR (RT-qPCR) were further performed to investigate the expression levels of MAGs in BC cells and explore the relationship between MAGs and M2 tumor associated macrophages (TAMs) secreted transforming growth factor-β1 (TGF-β1) in BC cells. RESULTS: A total of 23 differentially expressed MAGs were identified and five MAGs were finally used to construct a MAGs based signature. Survival analysis revealed that the MAGs based signature was closely correlated with the survival outcomes of patients with BC. A nomogram with the MAGs based signature risk score and clinical features was also constructed to facilitate the individualized prediction of BC patients. RT-qPCR showed that five MAGs were significantly differentially expressed and the expression levels of three MAGs were positively correlated with M2 TAMs secreted TGF-β1 in T24 cells. CONCLUSIONS: Our study identified novel prognostic MAGs and constructed a MAGs based signature, which can be used as an independent factor in evaluating the prognosis of patients with BC. Furthermore, M2 TAMs may promote the expression of MAGs via the TGF-β1 signaling pathway in the microenvironment of BC. Further clinical trials and experimental explorations are needed to validate our observations in BC.
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spelling pubmed-76433342020-11-06 Identification of metabolism-associated genes and construction of a prognostic signature in bladder cancer Shen, Chengquan Liu, Jing Wang, Liping Liang, Zhijuan Niu, Haitao Wang, Yonghua Cancer Cell Int Primary Research BACKGROUND: Bladder cancer (BC) is a commonly diagnosed malignant tumor in the urinary system, with a high morbidity and a high recurrence rate. Current studies indicated that metabolism-associated genes (MAGs) having critical roles in the etiology of BC. The present study aims to identify differentially expressed MAGs and construct a MAGs based prognostic risk signature for BC by using The Cancer Genome Atlas (TCGA) database and proteomics data. METHODS: RNA-sequence data from the TCGA database and proteomics data from our BC samples were used to identify differentially expressed MAGs and construct a MAGs based prognostic signature in BC. Subsequently, survival analysis and nomogram were used to evaluate the prognostic and predictive value of the MAGs based signature in BC. RNA isolation and reverse transcription‑quantitative PCR (RT-qPCR) were further performed to investigate the expression levels of MAGs in BC cells and explore the relationship between MAGs and M2 tumor associated macrophages (TAMs) secreted transforming growth factor-β1 (TGF-β1) in BC cells. RESULTS: A total of 23 differentially expressed MAGs were identified and five MAGs were finally used to construct a MAGs based signature. Survival analysis revealed that the MAGs based signature was closely correlated with the survival outcomes of patients with BC. A nomogram with the MAGs based signature risk score and clinical features was also constructed to facilitate the individualized prediction of BC patients. RT-qPCR showed that five MAGs were significantly differentially expressed and the expression levels of three MAGs were positively correlated with M2 TAMs secreted TGF-β1 in T24 cells. CONCLUSIONS: Our study identified novel prognostic MAGs and constructed a MAGs based signature, which can be used as an independent factor in evaluating the prognosis of patients with BC. Furthermore, M2 TAMs may promote the expression of MAGs via the TGF-β1 signaling pathway in the microenvironment of BC. Further clinical trials and experimental explorations are needed to validate our observations in BC. BioMed Central 2020-11-04 /pmc/articles/PMC7643334/ /pubmed/33292266 http://dx.doi.org/10.1186/s12935-020-01627-8 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Primary Research
Shen, Chengquan
Liu, Jing
Wang, Liping
Liang, Zhijuan
Niu, Haitao
Wang, Yonghua
Identification of metabolism-associated genes and construction of a prognostic signature in bladder cancer
title Identification of metabolism-associated genes and construction of a prognostic signature in bladder cancer
title_full Identification of metabolism-associated genes and construction of a prognostic signature in bladder cancer
title_fullStr Identification of metabolism-associated genes and construction of a prognostic signature in bladder cancer
title_full_unstemmed Identification of metabolism-associated genes and construction of a prognostic signature in bladder cancer
title_short Identification of metabolism-associated genes and construction of a prognostic signature in bladder cancer
title_sort identification of metabolism-associated genes and construction of a prognostic signature in bladder cancer
topic Primary Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7643334/
https://www.ncbi.nlm.nih.gov/pubmed/33292266
http://dx.doi.org/10.1186/s12935-020-01627-8
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