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Pan-Cancer Analysis of Atrial-Fibrillation-Related Innate Immunity Gene ANXA4

Background: Atrial fibrillation (AF) is the most common tachyarrhythmia around the world. Cancer is one of the main causes of death worldwide. A recent study demonstrated that cancer was associated with an increased incidence of AF. In the present study, we aimed to explore possible mechanisms and p...

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Autores principales: Yan, Tao, Zhu, Shijie, Shi, Yu, Xie, Changming, Zhu, Miao, Zhang, Yangyang, Wang, Chunsheng, Guo, Changfa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8446278/
https://www.ncbi.nlm.nih.gov/pubmed/34540918
http://dx.doi.org/10.3389/fcvm.2021.713983
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author Yan, Tao
Zhu, Shijie
Shi, Yu
Xie, Changming
Zhu, Miao
Zhang, Yangyang
Wang, Chunsheng
Guo, Changfa
author_facet Yan, Tao
Zhu, Shijie
Shi, Yu
Xie, Changming
Zhu, Miao
Zhang, Yangyang
Wang, Chunsheng
Guo, Changfa
author_sort Yan, Tao
collection PubMed
description Background: Atrial fibrillation (AF) is the most common tachyarrhythmia around the world. Cancer is one of the main causes of death worldwide. A recent study demonstrated that cancer was associated with an increased incidence of AF. In the present study, we aimed to explore possible mechanisms and potential common therapeutic targets between AF and cancer. Methods: Differentially expressed proteins between AF and sinus rhythm were identified utilizing proteomics analysis. Weighted gene correlation network analysis was applied to cluster proteins into different modules and investigate associations between modules and AF. Hub immune-related genes were selected via InnateDB database and verified using qRT-PCR. RNA sequencing and clinical data of 33 different cancer types were achieved from The Cancer Genome Atlas (TCGA). The correlations between ANXA4 expression and the prognosis were calculated utilizing Cox regression analysis and Kaplan-Meier survival analysis. Spearman's rank correlation test was used to assess associations between ANXA4 and immune infiltration and DNA methylation. Enrichment analysis was performed through gene ontology and gene set enrichment analysis (GSEA). Results:ANXA4 was identified as hub immune-related gene between AF and sinus rhythm. Expression levels of ANXA4 increased in diverse cancer types. Survival analysis suggested prognostic significance of ANXA4 expression levels in various cancer types. Immune correlation analysis indicated that ANXA4 expression levels were associated with tumor immune infiltration in most cancer types. ANXA4 might influence the efficacy of immunotherapy via tumor burden and microsatellite instability. GSEA results indicated that high ANXA4 expression groups were mainly enriched in peroxisome, bile acid biosynthesis, and p53 pathway. Conclusion:ANXA4 was identified as a hub immune-related gene in AF, which has never been reported. Pan-cancer analysis indicated its potential as a novel clinical prognostic marker and therapeutic target in diverse cancer types. ANXA4 might play crucial roles in AF and cancer, and targeted therapy for ANXA4 might reduce the incidence of AF in cancer patients.
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spelling pubmed-84462782021-09-18 Pan-Cancer Analysis of Atrial-Fibrillation-Related Innate Immunity Gene ANXA4 Yan, Tao Zhu, Shijie Shi, Yu Xie, Changming Zhu, Miao Zhang, Yangyang Wang, Chunsheng Guo, Changfa Front Cardiovasc Med Cardiovascular Medicine Background: Atrial fibrillation (AF) is the most common tachyarrhythmia around the world. Cancer is one of the main causes of death worldwide. A recent study demonstrated that cancer was associated with an increased incidence of AF. In the present study, we aimed to explore possible mechanisms and potential common therapeutic targets between AF and cancer. Methods: Differentially expressed proteins between AF and sinus rhythm were identified utilizing proteomics analysis. Weighted gene correlation network analysis was applied to cluster proteins into different modules and investigate associations between modules and AF. Hub immune-related genes were selected via InnateDB database and verified using qRT-PCR. RNA sequencing and clinical data of 33 different cancer types were achieved from The Cancer Genome Atlas (TCGA). The correlations between ANXA4 expression and the prognosis were calculated utilizing Cox regression analysis and Kaplan-Meier survival analysis. Spearman's rank correlation test was used to assess associations between ANXA4 and immune infiltration and DNA methylation. Enrichment analysis was performed through gene ontology and gene set enrichment analysis (GSEA). Results:ANXA4 was identified as hub immune-related gene between AF and sinus rhythm. Expression levels of ANXA4 increased in diverse cancer types. Survival analysis suggested prognostic significance of ANXA4 expression levels in various cancer types. Immune correlation analysis indicated that ANXA4 expression levels were associated with tumor immune infiltration in most cancer types. ANXA4 might influence the efficacy of immunotherapy via tumor burden and microsatellite instability. GSEA results indicated that high ANXA4 expression groups were mainly enriched in peroxisome, bile acid biosynthesis, and p53 pathway. Conclusion:ANXA4 was identified as a hub immune-related gene in AF, which has never been reported. Pan-cancer analysis indicated its potential as a novel clinical prognostic marker and therapeutic target in diverse cancer types. ANXA4 might play crucial roles in AF and cancer, and targeted therapy for ANXA4 might reduce the incidence of AF in cancer patients. Frontiers Media S.A. 2021-09-03 /pmc/articles/PMC8446278/ /pubmed/34540918 http://dx.doi.org/10.3389/fcvm.2021.713983 Text en Copyright © 2021 Yan, Zhu, Shi, Xie, Zhu, Zhang, Wang and Guo. 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 Cardiovascular Medicine
Yan, Tao
Zhu, Shijie
Shi, Yu
Xie, Changming
Zhu, Miao
Zhang, Yangyang
Wang, Chunsheng
Guo, Changfa
Pan-Cancer Analysis of Atrial-Fibrillation-Related Innate Immunity Gene ANXA4
title Pan-Cancer Analysis of Atrial-Fibrillation-Related Innate Immunity Gene ANXA4
title_full Pan-Cancer Analysis of Atrial-Fibrillation-Related Innate Immunity Gene ANXA4
title_fullStr Pan-Cancer Analysis of Atrial-Fibrillation-Related Innate Immunity Gene ANXA4
title_full_unstemmed Pan-Cancer Analysis of Atrial-Fibrillation-Related Innate Immunity Gene ANXA4
title_short Pan-Cancer Analysis of Atrial-Fibrillation-Related Innate Immunity Gene ANXA4
title_sort pan-cancer analysis of atrial-fibrillation-related innate immunity gene anxa4
topic Cardiovascular Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8446278/
https://www.ncbi.nlm.nih.gov/pubmed/34540918
http://dx.doi.org/10.3389/fcvm.2021.713983
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