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Analysis of the function of MAGE-A in esophageal carcinoma by bioinformatics

BACKGROUND: Melanoma-associated antigen-A (MAGE-A) was recognized as high-expressed in many solid tumors including esophageal carcinoma (EC), nevertheless, was reported to be low/not-expressed in normal tissues. Thus, it was considered as an extraordinary appropriate target for treatment especially...

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Autores principales: Chen, Xiaohua, Cai, Sina, Wang, Liping, Zhang, Xiaona, Li, Wenhui, Cao, Xiaolong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6571408/
https://www.ncbi.nlm.nih.gov/pubmed/31124967
http://dx.doi.org/10.1097/MD.0000000000015774
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author Chen, Xiaohua
Cai, Sina
Wang, Liping
Zhang, Xiaona
Li, Wenhui
Cao, Xiaolong
author_facet Chen, Xiaohua
Cai, Sina
Wang, Liping
Zhang, Xiaona
Li, Wenhui
Cao, Xiaolong
author_sort Chen, Xiaohua
collection PubMed
description BACKGROUND: Melanoma-associated antigen-A (MAGE-A) was recognized as high-expressed in many solid tumors including esophageal carcinoma (EC), nevertheless, was reported to be low/not-expressed in normal tissues. Thus, it was considered as an extraordinary appropriate target for treatment especially in immunotherapy. Therefore, it demanded more detail knowledge on the precise function of MAGE-A. METHODS: In this study, we used the data from the Cancer Genome Atlas dataset (TCGA-ESCA) to analyze the expression and survival for MAGE A3/4/11 (the subtype of MAGE-A) using the online tool of UALCAN. Furthermore, the high-throughput sequencing data of the patients with esophageal squamous-cell carcinoma (ESCC) from TCGA dataset were performed to analyze the correlation test, gene ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment of MAGE A3/4/9/11 using LinkeDomics (online tool) and ClueGO (inner software of Cytoscape). Finally, relative gene expressions of MAGE A3/4/9/11 were verified by quantitative real-time PCR (q-PCR) in the patients with EC. RESULTS: MAGE A3/4/11 was high-expressed in tissues of patients with ESCC, and there was no difference in survival time for patients between the high-expressed with the low/medium-expressed. The Go enrichment analysis showed that the 4 MAGE-A subtypes (MAGE-A3/4/9/11) were enriched in the regulation of the adaptive immune response, translational initiation, interleukin-4 production, response to type I interferon, and skin development, respectively. The KEGG results showed that they were enriched in T cell receptor signaling pathway (MAGE-A3), Th1 and Th2 differentiation, antigen processing and presentation (MAGE-A4), cytokine-cytokine receptor interaction (MAGE-A9), and chemokine signaling pathway (MAGE-A11). CONCLUSION: MAGE A3/4/9/11 was high-expressed in EC, and were enrolled in the regulation of immune response. They may consider as candidate immune target for EC treatment and provided the messages for further research in the function of MAGE-A.
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spelling pubmed-65714082019-07-22 Analysis of the function of MAGE-A in esophageal carcinoma by bioinformatics Chen, Xiaohua Cai, Sina Wang, Liping Zhang, Xiaona Li, Wenhui Cao, Xiaolong Medicine (Baltimore) Research Article BACKGROUND: Melanoma-associated antigen-A (MAGE-A) was recognized as high-expressed in many solid tumors including esophageal carcinoma (EC), nevertheless, was reported to be low/not-expressed in normal tissues. Thus, it was considered as an extraordinary appropriate target for treatment especially in immunotherapy. Therefore, it demanded more detail knowledge on the precise function of MAGE-A. METHODS: In this study, we used the data from the Cancer Genome Atlas dataset (TCGA-ESCA) to analyze the expression and survival for MAGE A3/4/11 (the subtype of MAGE-A) using the online tool of UALCAN. Furthermore, the high-throughput sequencing data of the patients with esophageal squamous-cell carcinoma (ESCC) from TCGA dataset were performed to analyze the correlation test, gene ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment of MAGE A3/4/9/11 using LinkeDomics (online tool) and ClueGO (inner software of Cytoscape). Finally, relative gene expressions of MAGE A3/4/9/11 were verified by quantitative real-time PCR (q-PCR) in the patients with EC. RESULTS: MAGE A3/4/11 was high-expressed in tissues of patients with ESCC, and there was no difference in survival time for patients between the high-expressed with the low/medium-expressed. The Go enrichment analysis showed that the 4 MAGE-A subtypes (MAGE-A3/4/9/11) were enriched in the regulation of the adaptive immune response, translational initiation, interleukin-4 production, response to type I interferon, and skin development, respectively. The KEGG results showed that they were enriched in T cell receptor signaling pathway (MAGE-A3), Th1 and Th2 differentiation, antigen processing and presentation (MAGE-A4), cytokine-cytokine receptor interaction (MAGE-A9), and chemokine signaling pathway (MAGE-A11). CONCLUSION: MAGE A3/4/9/11 was high-expressed in EC, and were enrolled in the regulation of immune response. They may consider as candidate immune target for EC treatment and provided the messages for further research in the function of MAGE-A. Wolters Kluwer Health 2019-05-24 /pmc/articles/PMC6571408/ /pubmed/31124967 http://dx.doi.org/10.1097/MD.0000000000015774 Text en Copyright © 2019 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc-nd/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0
spellingShingle Research Article
Chen, Xiaohua
Cai, Sina
Wang, Liping
Zhang, Xiaona
Li, Wenhui
Cao, Xiaolong
Analysis of the function of MAGE-A in esophageal carcinoma by bioinformatics
title Analysis of the function of MAGE-A in esophageal carcinoma by bioinformatics
title_full Analysis of the function of MAGE-A in esophageal carcinoma by bioinformatics
title_fullStr Analysis of the function of MAGE-A in esophageal carcinoma by bioinformatics
title_full_unstemmed Analysis of the function of MAGE-A in esophageal carcinoma by bioinformatics
title_short Analysis of the function of MAGE-A in esophageal carcinoma by bioinformatics
title_sort analysis of the function of mage-a in esophageal carcinoma by bioinformatics
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6571408/
https://www.ncbi.nlm.nih.gov/pubmed/31124967
http://dx.doi.org/10.1097/MD.0000000000015774
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