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EIF4G1 Is a Potential Prognostic Biomarker of Breast Cancer

Background: Breast cancer (BRCA) is one of the most common cancers in women worldwide and a leading cause of death from malignancy. This study was designed to identify a novel biomarker for prognosticating the survival of BRCA patients. Methods: The prognostic potential of eukaryotic translation ini...

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Autores principales: Li, Kun, Tan, Guangqing, Zhang, Xin, Lu, Weiyu, Ren, Jingyi, Si, Yuewen, Adu-Gyamfi, Enoch Appiah, Li, Fangfang, Wang, Yingxiong, Xie, Biao, Wang, Meijiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9776011/
https://www.ncbi.nlm.nih.gov/pubmed/36551184
http://dx.doi.org/10.3390/biom12121756
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author Li, Kun
Tan, Guangqing
Zhang, Xin
Lu, Weiyu
Ren, Jingyi
Si, Yuewen
Adu-Gyamfi, Enoch Appiah
Li, Fangfang
Wang, Yingxiong
Xie, Biao
Wang, Meijiao
author_facet Li, Kun
Tan, Guangqing
Zhang, Xin
Lu, Weiyu
Ren, Jingyi
Si, Yuewen
Adu-Gyamfi, Enoch Appiah
Li, Fangfang
Wang, Yingxiong
Xie, Biao
Wang, Meijiao
author_sort Li, Kun
collection PubMed
description Background: Breast cancer (BRCA) is one of the most common cancers in women worldwide and a leading cause of death from malignancy. This study was designed to identify a novel biomarker for prognosticating the survival of BRCA patients. Methods: The prognostic potential of eukaryotic translation initiation factor 4 gamma 1 (EIF4G1) was assessed using RNA sequencing (RNA-seq) data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) as training cohort and validation set, respectively. The functional enrichment analysis of differentially expressed genes (DEGs) was performed. The relationship between EIF4G1 and tumor microenvironment (TME) was analyzed. Immunotherapy responses were explored by the immunophenoscores (IPS) and tumor immune dysfunction and exclusion (TIDE) score. The Connectivity Map (CMap) was used to discover potentially effective therapeutic molecules against BRCA. Immunohistochemistry (IHC) was applied to compare the protein levels of EIF4G1 in normal and cancer tissues and to verify the prognostic value of EIF4G1. Results: BRCA patients with increased expression of EIF4G1 had a shorter overall survival (OS) in all cohorts and results from IHC. EIF4G1-related genes were mainly involved in DNA replication, BRCA metastasis, and the MAPK signaling pathway. Infiltration levels of CD4(+)-activated memory T cells, macrophages M0, macrophages M1, and neutrophils were higher in the EIF4G1 high-expression group than those in the EIF4G1 low-expression group. EIF4G1 was positively correlated with T cell exhaustion. Lower IPS was revealed in high EIF4G1 expression patients. Five potential groups of drugs against BRCA were identified. Conclusion: EIF4G1 might regulate the TME and affect BRCA metastasis, and it is a potential prognostic biomarker and therapeutic target for BRCA.
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spelling pubmed-97760112022-12-23 EIF4G1 Is a Potential Prognostic Biomarker of Breast Cancer Li, Kun Tan, Guangqing Zhang, Xin Lu, Weiyu Ren, Jingyi Si, Yuewen Adu-Gyamfi, Enoch Appiah Li, Fangfang Wang, Yingxiong Xie, Biao Wang, Meijiao Biomolecules Article Background: Breast cancer (BRCA) is one of the most common cancers in women worldwide and a leading cause of death from malignancy. This study was designed to identify a novel biomarker for prognosticating the survival of BRCA patients. Methods: The prognostic potential of eukaryotic translation initiation factor 4 gamma 1 (EIF4G1) was assessed using RNA sequencing (RNA-seq) data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) as training cohort and validation set, respectively. The functional enrichment analysis of differentially expressed genes (DEGs) was performed. The relationship between EIF4G1 and tumor microenvironment (TME) was analyzed. Immunotherapy responses were explored by the immunophenoscores (IPS) and tumor immune dysfunction and exclusion (TIDE) score. The Connectivity Map (CMap) was used to discover potentially effective therapeutic molecules against BRCA. Immunohistochemistry (IHC) was applied to compare the protein levels of EIF4G1 in normal and cancer tissues and to verify the prognostic value of EIF4G1. Results: BRCA patients with increased expression of EIF4G1 had a shorter overall survival (OS) in all cohorts and results from IHC. EIF4G1-related genes were mainly involved in DNA replication, BRCA metastasis, and the MAPK signaling pathway. Infiltration levels of CD4(+)-activated memory T cells, macrophages M0, macrophages M1, and neutrophils were higher in the EIF4G1 high-expression group than those in the EIF4G1 low-expression group. EIF4G1 was positively correlated with T cell exhaustion. Lower IPS was revealed in high EIF4G1 expression patients. Five potential groups of drugs against BRCA were identified. Conclusion: EIF4G1 might regulate the TME and affect BRCA metastasis, and it is a potential prognostic biomarker and therapeutic target for BRCA. MDPI 2022-11-26 /pmc/articles/PMC9776011/ /pubmed/36551184 http://dx.doi.org/10.3390/biom12121756 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Li, Kun
Tan, Guangqing
Zhang, Xin
Lu, Weiyu
Ren, Jingyi
Si, Yuewen
Adu-Gyamfi, Enoch Appiah
Li, Fangfang
Wang, Yingxiong
Xie, Biao
Wang, Meijiao
EIF4G1 Is a Potential Prognostic Biomarker of Breast Cancer
title EIF4G1 Is a Potential Prognostic Biomarker of Breast Cancer
title_full EIF4G1 Is a Potential Prognostic Biomarker of Breast Cancer
title_fullStr EIF4G1 Is a Potential Prognostic Biomarker of Breast Cancer
title_full_unstemmed EIF4G1 Is a Potential Prognostic Biomarker of Breast Cancer
title_short EIF4G1 Is a Potential Prognostic Biomarker of Breast Cancer
title_sort eif4g1 is a potential prognostic biomarker of breast cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9776011/
https://www.ncbi.nlm.nih.gov/pubmed/36551184
http://dx.doi.org/10.3390/biom12121756
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