Cargando…
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...
Autores principales: | , , , , , |
---|---|
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 |
_version_ | 1783427409386668032 |
---|---|
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. |
format | Online Article Text |
id | pubmed-6571408 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT chenxiaohua analysisofthefunctionofmageainesophagealcarcinomabybioinformatics AT caisina analysisofthefunctionofmageainesophagealcarcinomabybioinformatics AT wangliping analysisofthefunctionofmageainesophagealcarcinomabybioinformatics AT zhangxiaona analysisofthefunctionofmageainesophagealcarcinomabybioinformatics AT liwenhui analysisofthefunctionofmageainesophagealcarcinomabybioinformatics AT caoxiaolong analysisofthefunctionofmageainesophagealcarcinomabybioinformatics |