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A Signature of Three Apoptosis-Related Genes Predicts Overall Survival in Breast Cancer

BACKGROUND: The commonest malignancy in women is known as breast cancer (BC). Numerous studies demonstrated that apoptosis appears to be critical to the management and clinical outcome of BC patients. The purpose of this study is to explore the potential connection between apoptosis and BC and estab...

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Autores principales: Zou, Rongyang, Zhao, Wanjun, Xiao, Shuguang, Lu, Yaxing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9235836/
https://www.ncbi.nlm.nih.gov/pubmed/35769153
http://dx.doi.org/10.3389/fsurg.2022.863035
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author Zou, Rongyang
Zhao, Wanjun
Xiao, Shuguang
Lu, Yaxing
author_facet Zou, Rongyang
Zhao, Wanjun
Xiao, Shuguang
Lu, Yaxing
author_sort Zou, Rongyang
collection PubMed
description BACKGROUND: The commonest malignancy in women is known as breast cancer (BC). Numerous studies demonstrated that apoptosis appears to be critical to the management and clinical outcome of BC patients. The purpose of this study is to explore the potential connection between apoptosis and BC and establish the apoptosis-associated gene signature in BC. METHODS: The data of BC patient transcripts and related clinical information comes from the Cancer Genome Atlas Database (TCGA), and the genes related to apoptosis come from the Molecular Characterization Database (MSigDB). We identified the abnormally expressed apoptosis-related genes in BC samples. The optimal apoptosis-related genes screened by Cox regression analysis were designed to construct a prognostic model for predicting BC patients. Using the Nom Chart to Predict 1-Year, 3-Year, and 5-Year overall survival for BC patients. The gene signature-related functional pathways were explored by gene set enrichment analysis (GSEA). RESULTS: Three genes [alpha subunit of the interleukin 3 receptor (IL3RA), apoptosis-inducing factor mitochondrial-associated 1 (AIFM1), and phosphatidylinositol-3 kinase catalytic alpha (PIK3CA)] correlated with apoptosis were shown to be strongly linked to the overall survival of BC. Survival analysis shows that the risk score is directly proportional to the poor prognosis of BC patients. Risk assessment based on three genetic characteristics (age, pathological stage N, and pathological stage M) can independently predict the prognosis of patients with BC. The Nom chart is most suitable for assessing the long-term survival rate of BC patients. The results of GSEA demonstrated that numerous cell cycle-related pathways were abundant in the high-risk group. CONCLUSION: We constructed an apoptosis-associated gene signature in BC, which had a potential clinical application prospect for BC patients.
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spelling pubmed-92358362022-06-28 A Signature of Three Apoptosis-Related Genes Predicts Overall Survival in Breast Cancer Zou, Rongyang Zhao, Wanjun Xiao, Shuguang Lu, Yaxing Front Surg Surgery BACKGROUND: The commonest malignancy in women is known as breast cancer (BC). Numerous studies demonstrated that apoptosis appears to be critical to the management and clinical outcome of BC patients. The purpose of this study is to explore the potential connection between apoptosis and BC and establish the apoptosis-associated gene signature in BC. METHODS: The data of BC patient transcripts and related clinical information comes from the Cancer Genome Atlas Database (TCGA), and the genes related to apoptosis come from the Molecular Characterization Database (MSigDB). We identified the abnormally expressed apoptosis-related genes in BC samples. The optimal apoptosis-related genes screened by Cox regression analysis were designed to construct a prognostic model for predicting BC patients. Using the Nom Chart to Predict 1-Year, 3-Year, and 5-Year overall survival for BC patients. The gene signature-related functional pathways were explored by gene set enrichment analysis (GSEA). RESULTS: Three genes [alpha subunit of the interleukin 3 receptor (IL3RA), apoptosis-inducing factor mitochondrial-associated 1 (AIFM1), and phosphatidylinositol-3 kinase catalytic alpha (PIK3CA)] correlated with apoptosis were shown to be strongly linked to the overall survival of BC. Survival analysis shows that the risk score is directly proportional to the poor prognosis of BC patients. Risk assessment based on three genetic characteristics (age, pathological stage N, and pathological stage M) can independently predict the prognosis of patients with BC. The Nom chart is most suitable for assessing the long-term survival rate of BC patients. The results of GSEA demonstrated that numerous cell cycle-related pathways were abundant in the high-risk group. CONCLUSION: We constructed an apoptosis-associated gene signature in BC, which had a potential clinical application prospect for BC patients. Frontiers Media S.A. 2022-05-17 /pmc/articles/PMC9235836/ /pubmed/35769153 http://dx.doi.org/10.3389/fsurg.2022.863035 Text en Copyright © 2022 Zou, Zhao, Xiao and Lu. 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) (https://creativecommons.org/licenses/by/4.0/) . 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 Surgery
Zou, Rongyang
Zhao, Wanjun
Xiao, Shuguang
Lu, Yaxing
A Signature of Three Apoptosis-Related Genes Predicts Overall Survival in Breast Cancer
title A Signature of Three Apoptosis-Related Genes Predicts Overall Survival in Breast Cancer
title_full A Signature of Three Apoptosis-Related Genes Predicts Overall Survival in Breast Cancer
title_fullStr A Signature of Three Apoptosis-Related Genes Predicts Overall Survival in Breast Cancer
title_full_unstemmed A Signature of Three Apoptosis-Related Genes Predicts Overall Survival in Breast Cancer
title_short A Signature of Three Apoptosis-Related Genes Predicts Overall Survival in Breast Cancer
title_sort signature of three apoptosis-related genes predicts overall survival in breast cancer
topic Surgery
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9235836/
https://www.ncbi.nlm.nih.gov/pubmed/35769153
http://dx.doi.org/10.3389/fsurg.2022.863035
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