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Pan-cancer analysis of the prognostic and immunological role of GJB2: a potential target for survival and immunotherapy

BACKGROUND: GJB2 plays an essential role in the growth and progression of several cancers. However, asystematic pan-cancer analysis of GJB2 is lacking. Therefore, in this study, we performed a comprehensive pan-cancer analysis to determine the potential role of GJB2 in prognostic prediction and canc...

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Autores principales: Jia, Yuting, Guo, Bin, Zhang, Wenbin, Wang, Feng, Zhang, Yong, Zhang, Quanmao, Li, Erfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10327570/
https://www.ncbi.nlm.nih.gov/pubmed/37427102
http://dx.doi.org/10.3389/fonc.2023.1110207
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author Jia, Yuting
Guo, Bin
Zhang, Wenbin
Wang, Feng
Zhang, Yong
Zhang, Quanmao
Li, Erfeng
author_facet Jia, Yuting
Guo, Bin
Zhang, Wenbin
Wang, Feng
Zhang, Yong
Zhang, Quanmao
Li, Erfeng
author_sort Jia, Yuting
collection PubMed
description BACKGROUND: GJB2 plays an essential role in the growth and progression of several cancers. However, asystematic pan-cancer analysis of GJB2 is lacking. Therefore, in this study, we performed a comprehensive pan-cancer analysis to determine the potential role of GJB2 in prognostic prediction and cancer immunotherapy response. METHODS: The differential expression of GJB2 in the tumor and adjacent normal tissues of various cancer types was analyzed using the TIMER, GEPIA, and Sangerbox databases. GEPIA and Kaplan–Meier plotter databases were used to analyze the survival outcomes based on GJB2 expression levels in pan-cancer. Furthermore, the association of GJB2 expression with the immune checkpoint (ICP) genes, tumor mutational load (TMB), microsatellite instability (MSI), neoantigens, and tumor infiltration of immune cells was analyzed using via the Sangerbox database. The cBioPortal database was used to determine the characteristics of GJB2 gene alterations in the cancer tissues. The STRING database was used to identify the GJB2-binding proteins. GEPIA database was used to identify the GJB2 co-expressed genes. DAVID was used to perform the functional enrichment analysis of gene ontology (GO) terms and KEGG pathways associated with GJB2. Finally, the mechanistic role of GJB2 in pancreatic adenocarcinoma (PAAD) was analyzed using the LinkedOmics database. RESULTS: The GJB2 gene was highly expressed in a variety of tumors. Furthermore, GJB2 expression levels showed significant positive or negative association with the survival outcomes in various cancers. GJB2 expression levels cor related with tumor mutational burden, microsatellite instability, neoantigens, and tumor infiltration of immune cells in multiple cancers. This suggested that GJB2 played a critical role in the tumor microenvironment. Functional enrichment analysis showed that the biological role of GJB2 in tumors included modulation of gap junction-mediated intercellular transport, regulation of cell communication by electrical coupling, ion transmembrane transport, autocrine signaling, apoptotic signaling pathway, NOD-like receptor signaling pathway, p53 signaling pathway, and PI3K-Akt signaling pathway. CONCLUSIONS: Our study demonstrated that GJB2 played a significant role in tumorigenesis and tumor immunity in multiple cancers. Furthermore, GJB2 is a potential prognostic biomarker and a promising therapeutic target in multiple types of cancers.
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spelling pubmed-103275702023-07-08 Pan-cancer analysis of the prognostic and immunological role of GJB2: a potential target for survival and immunotherapy Jia, Yuting Guo, Bin Zhang, Wenbin Wang, Feng Zhang, Yong Zhang, Quanmao Li, Erfeng Front Oncol Oncology BACKGROUND: GJB2 plays an essential role in the growth and progression of several cancers. However, asystematic pan-cancer analysis of GJB2 is lacking. Therefore, in this study, we performed a comprehensive pan-cancer analysis to determine the potential role of GJB2 in prognostic prediction and cancer immunotherapy response. METHODS: The differential expression of GJB2 in the tumor and adjacent normal tissues of various cancer types was analyzed using the TIMER, GEPIA, and Sangerbox databases. GEPIA and Kaplan–Meier plotter databases were used to analyze the survival outcomes based on GJB2 expression levels in pan-cancer. Furthermore, the association of GJB2 expression with the immune checkpoint (ICP) genes, tumor mutational load (TMB), microsatellite instability (MSI), neoantigens, and tumor infiltration of immune cells was analyzed using via the Sangerbox database. The cBioPortal database was used to determine the characteristics of GJB2 gene alterations in the cancer tissues. The STRING database was used to identify the GJB2-binding proteins. GEPIA database was used to identify the GJB2 co-expressed genes. DAVID was used to perform the functional enrichment analysis of gene ontology (GO) terms and KEGG pathways associated with GJB2. Finally, the mechanistic role of GJB2 in pancreatic adenocarcinoma (PAAD) was analyzed using the LinkedOmics database. RESULTS: The GJB2 gene was highly expressed in a variety of tumors. Furthermore, GJB2 expression levels showed significant positive or negative association with the survival outcomes in various cancers. GJB2 expression levels cor related with tumor mutational burden, microsatellite instability, neoantigens, and tumor infiltration of immune cells in multiple cancers. This suggested that GJB2 played a critical role in the tumor microenvironment. Functional enrichment analysis showed that the biological role of GJB2 in tumors included modulation of gap junction-mediated intercellular transport, regulation of cell communication by electrical coupling, ion transmembrane transport, autocrine signaling, apoptotic signaling pathway, NOD-like receptor signaling pathway, p53 signaling pathway, and PI3K-Akt signaling pathway. CONCLUSIONS: Our study demonstrated that GJB2 played a significant role in tumorigenesis and tumor immunity in multiple cancers. Furthermore, GJB2 is a potential prognostic biomarker and a promising therapeutic target in multiple types of cancers. Frontiers Media S.A. 2023-06-23 /pmc/articles/PMC10327570/ /pubmed/37427102 http://dx.doi.org/10.3389/fonc.2023.1110207 Text en Copyright © 2023 Jia, Guo, Zhang, Wang, Zhang, Zhang and Li 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
Jia, Yuting
Guo, Bin
Zhang, Wenbin
Wang, Feng
Zhang, Yong
Zhang, Quanmao
Li, Erfeng
Pan-cancer analysis of the prognostic and immunological role of GJB2: a potential target for survival and immunotherapy
title Pan-cancer analysis of the prognostic and immunological role of GJB2: a potential target for survival and immunotherapy
title_full Pan-cancer analysis of the prognostic and immunological role of GJB2: a potential target for survival and immunotherapy
title_fullStr Pan-cancer analysis of the prognostic and immunological role of GJB2: a potential target for survival and immunotherapy
title_full_unstemmed Pan-cancer analysis of the prognostic and immunological role of GJB2: a potential target for survival and immunotherapy
title_short Pan-cancer analysis of the prognostic and immunological role of GJB2: a potential target for survival and immunotherapy
title_sort pan-cancer analysis of the prognostic and immunological role of gjb2: a potential target for survival and immunotherapy
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10327570/
https://www.ncbi.nlm.nih.gov/pubmed/37427102
http://dx.doi.org/10.3389/fonc.2023.1110207
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