ArticleMedicine2019
Analysis of the function of MAGE-A in esophageal carcinoma by bioinformatics.
Article in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.
- The impact of miR-9 in osteosarcoma: A study based on meta-analysis, TCGA data, and bioinformatics analysis.Medicine · 2020Pooled it
- 101 Machine Learning Algorithms for Mining Esophageal Squamous Cell Carcinoma Neoantigen Prognostic Models in Single-Cell Data.International journal of molecular sciences · 2025Article
- Crotonylation-Related Prognostic Model of Esophageal Squamous Cell Carcinoma Based on Transcriptome Analysis and Single-Cell Sequencing Analysis.International journal of general medicine · 2025Article
- Review
- MAGEA6 positively regulates MSMO1 and promotes the migration and invasion of oesophageal cancer cells.Experimental and therapeutic medicine · 2022Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMelanoma-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.
methodsIn 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.
resultsMAGE 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).
conclusionMAGE 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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