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Identification and Validation of a Five-Gene Signature Associated With Overall Survival in Breast Cancer Patients

BACKGROUND: Recent years, the global prevalence of breast cancer (BC) was still high and the underlying molecular mechanisms remained largely unknown. The investigation of prognosis-related biomarkers had become an urgent demand. RESULTS: In this study, gene expression profiles and clinical informat...

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Autores principales: Wang, Xiaolong, Li, Chen, Chen, Tong, Li, Wenhao, Zhang, Hanwen, Zhang, Dong, Liu, Ying, Han, Dianwen, Li, Yaming, Li, Zheng, Luo, Dan, Zhang, Ning, Yang, Qifeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8428534/
https://www.ncbi.nlm.nih.gov/pubmed/34513664
http://dx.doi.org/10.3389/fonc.2021.660242
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author Wang, Xiaolong
Li, Chen
Chen, Tong
Li, Wenhao
Zhang, Hanwen
Zhang, Dong
Liu, Ying
Han, Dianwen
Li, Yaming
Li, Zheng
Luo, Dan
Zhang, Ning
Yang, Qifeng
author_facet Wang, Xiaolong
Li, Chen
Chen, Tong
Li, Wenhao
Zhang, Hanwen
Zhang, Dong
Liu, Ying
Han, Dianwen
Li, Yaming
Li, Zheng
Luo, Dan
Zhang, Ning
Yang, Qifeng
author_sort Wang, Xiaolong
collection PubMed
description BACKGROUND: Recent years, the global prevalence of breast cancer (BC) was still high and the underlying molecular mechanisms remained largely unknown. The investigation of prognosis-related biomarkers had become an urgent demand. RESULTS: In this study, gene expression profiles and clinical information of breast cancer patients were downloaded from the TCGA database. The differentially expressed genes (DEGs) were estimated by Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. A risk score formula involving five novel prognostic associated biomarkers (EDN2, CLEC3B, SV2C, WT1, and MUC2) were then constructed by LASSO. The prognostic value of the risk model was further confirmed in the TCGA entire cohort and an independent external validation cohort. To explore the biological functions of the selected genes, in vitro assays were performed, indicating that these novel biomarkers could markedly influence breast cancer progression. CONCLUSIONS: We established a predictive five-gene signature, which could be helpful for a personalized management in breast cancer patients.
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spelling pubmed-84285342021-09-10 Identification and Validation of a Five-Gene Signature Associated With Overall Survival in Breast Cancer Patients Wang, Xiaolong Li, Chen Chen, Tong Li, Wenhao Zhang, Hanwen Zhang, Dong Liu, Ying Han, Dianwen Li, Yaming Li, Zheng Luo, Dan Zhang, Ning Yang, Qifeng Front Oncol Oncology BACKGROUND: Recent years, the global prevalence of breast cancer (BC) was still high and the underlying molecular mechanisms remained largely unknown. The investigation of prognosis-related biomarkers had become an urgent demand. RESULTS: In this study, gene expression profiles and clinical information of breast cancer patients were downloaded from the TCGA database. The differentially expressed genes (DEGs) were estimated by Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. A risk score formula involving five novel prognostic associated biomarkers (EDN2, CLEC3B, SV2C, WT1, and MUC2) were then constructed by LASSO. The prognostic value of the risk model was further confirmed in the TCGA entire cohort and an independent external validation cohort. To explore the biological functions of the selected genes, in vitro assays were performed, indicating that these novel biomarkers could markedly influence breast cancer progression. CONCLUSIONS: We established a predictive five-gene signature, which could be helpful for a personalized management in breast cancer patients. Frontiers Media S.A. 2021-08-26 /pmc/articles/PMC8428534/ /pubmed/34513664 http://dx.doi.org/10.3389/fonc.2021.660242 Text en Copyright © 2021 Wang, Li, Chen, Li, Zhang, Zhang, Liu, Han, Li, Li, Luo, Zhang and Yang https://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 Oncology
Wang, Xiaolong
Li, Chen
Chen, Tong
Li, Wenhao
Zhang, Hanwen
Zhang, Dong
Liu, Ying
Han, Dianwen
Li, Yaming
Li, Zheng
Luo, Dan
Zhang, Ning
Yang, Qifeng
Identification and Validation of a Five-Gene Signature Associated With Overall Survival in Breast Cancer Patients
title Identification and Validation of a Five-Gene Signature Associated With Overall Survival in Breast Cancer Patients
title_full Identification and Validation of a Five-Gene Signature Associated With Overall Survival in Breast Cancer Patients
title_fullStr Identification and Validation of a Five-Gene Signature Associated With Overall Survival in Breast Cancer Patients
title_full_unstemmed Identification and Validation of a Five-Gene Signature Associated With Overall Survival in Breast Cancer Patients
title_short Identification and Validation of a Five-Gene Signature Associated With Overall Survival in Breast Cancer Patients
title_sort identification and validation of a five-gene signature associated with overall survival in breast cancer patients
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8428534/
https://www.ncbi.nlm.nih.gov/pubmed/34513664
http://dx.doi.org/10.3389/fonc.2021.660242
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