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A Novel Glycolysis-Related Four-mRNA Signature for Predicting the Survival of Patients With Breast Cancer

Background: Glycolysis is critical in the occurrence and development of tumors. Owing to the biological and clinical heterogeneity of patients with BRCA, the traditional predictive classification system is far from satisfactory. Survival and prognosis biomarkers related to glycolysis have broad appl...

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Autores principales: Zhang, Xiaolu, Wang, Jia, Zhuang, Jing, Liu, Cun, Gao, Chundi, Li, Huayao, Ma, Xiaoran, Li, Jie, Sun, Changgang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7876610/
https://www.ncbi.nlm.nih.gov/pubmed/33584825
http://dx.doi.org/10.3389/fgene.2021.606937
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author Zhang, Xiaolu
Wang, Jia
Zhuang, Jing
Liu, Cun
Gao, Chundi
Li, Huayao
Ma, Xiaoran
Li, Jie
Sun, Changgang
author_facet Zhang, Xiaolu
Wang, Jia
Zhuang, Jing
Liu, Cun
Gao, Chundi
Li, Huayao
Ma, Xiaoran
Li, Jie
Sun, Changgang
author_sort Zhang, Xiaolu
collection PubMed
description Background: Glycolysis is critical in the occurrence and development of tumors. Owing to the biological and clinical heterogeneity of patients with BRCA, the traditional predictive classification system is far from satisfactory. Survival and prognosis biomarkers related to glycolysis have broad application prospects for assessing the risk of patients and guiding their individualized treatment. Methods: The mRNA expression profiles and clinical information of patients with BRCA were obtained from TCGA database, and glycolysis-related genes were obtained by GSEA. Patients with BRCA were randomly divided into the training cohort and testing cohort. Univariate and multivariate Cox analyses were used to establish and validate a new mRNA signature for predicting the prognosis of patients with BRCA. Results: We established a four-gene breast cancer prediction signature that included PGK1, SDHC, PFKL, and NUP43. The patients with BRCA in the training cohort and testing cohort were divided into high-risk and low-risk groups based on the signature. The AUC values were 0.74 (training cohort), 0.806 (testing cohort) and 0.769 (entire cohort), thereby showing that the prediction performance of the signature is acceptable. Additionally, Cox regression analysis revealed that four-gene signature could independently predict the prognosis of BRCA patients without being affected by clinical factors. Conclusion: We constructed a four-gene signature to predict the prognosis of patients with BRCA. This signature will aid in the early diagnosis and personalized treatment of breast cancer, but the specific associated biological mechanism requires further study.
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spelling pubmed-78766102021-02-12 A Novel Glycolysis-Related Four-mRNA Signature for Predicting the Survival of Patients With Breast Cancer Zhang, Xiaolu Wang, Jia Zhuang, Jing Liu, Cun Gao, Chundi Li, Huayao Ma, Xiaoran Li, Jie Sun, Changgang Front Genet Genetics Background: Glycolysis is critical in the occurrence and development of tumors. Owing to the biological and clinical heterogeneity of patients with BRCA, the traditional predictive classification system is far from satisfactory. Survival and prognosis biomarkers related to glycolysis have broad application prospects for assessing the risk of patients and guiding their individualized treatment. Methods: The mRNA expression profiles and clinical information of patients with BRCA were obtained from TCGA database, and glycolysis-related genes were obtained by GSEA. Patients with BRCA were randomly divided into the training cohort and testing cohort. Univariate and multivariate Cox analyses were used to establish and validate a new mRNA signature for predicting the prognosis of patients with BRCA. Results: We established a four-gene breast cancer prediction signature that included PGK1, SDHC, PFKL, and NUP43. The patients with BRCA in the training cohort and testing cohort were divided into high-risk and low-risk groups based on the signature. The AUC values were 0.74 (training cohort), 0.806 (testing cohort) and 0.769 (entire cohort), thereby showing that the prediction performance of the signature is acceptable. Additionally, Cox regression analysis revealed that four-gene signature could independently predict the prognosis of BRCA patients without being affected by clinical factors. Conclusion: We constructed a four-gene signature to predict the prognosis of patients with BRCA. This signature will aid in the early diagnosis and personalized treatment of breast cancer, but the specific associated biological mechanism requires further study. Frontiers Media S.A. 2021-01-28 /pmc/articles/PMC7876610/ /pubmed/33584825 http://dx.doi.org/10.3389/fgene.2021.606937 Text en Copyright © 2021 Zhang, Wang, Zhuang, Liu, Gao, Li, Ma, Li and Sun. 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
Zhang, Xiaolu
Wang, Jia
Zhuang, Jing
Liu, Cun
Gao, Chundi
Li, Huayao
Ma, Xiaoran
Li, Jie
Sun, Changgang
A Novel Glycolysis-Related Four-mRNA Signature for Predicting the Survival of Patients With Breast Cancer
title A Novel Glycolysis-Related Four-mRNA Signature for Predicting the Survival of Patients With Breast Cancer
title_full A Novel Glycolysis-Related Four-mRNA Signature for Predicting the Survival of Patients With Breast Cancer
title_fullStr A Novel Glycolysis-Related Four-mRNA Signature for Predicting the Survival of Patients With Breast Cancer
title_full_unstemmed A Novel Glycolysis-Related Four-mRNA Signature for Predicting the Survival of Patients With Breast Cancer
title_short A Novel Glycolysis-Related Four-mRNA Signature for Predicting the Survival of Patients With Breast Cancer
title_sort novel glycolysis-related four-mrna signature for predicting the survival of patients with breast cancer
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7876610/
https://www.ncbi.nlm.nih.gov/pubmed/33584825
http://dx.doi.org/10.3389/fgene.2021.606937
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