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TMEM200A is a potential prognostic biomarker and correlated with immune infiltrates in gastric cancer

BACKGROUND: Gastric cancer (GC) is one of the most common malignant tumors in the digestive system. Several transmembrane (TMEM) proteins are defined as tumor suppressors or oncogenes. However, the role and underlying mechanism of TMEM200A in GC remain unclear. METHODS: We analyzed the expression of...

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Autores principales: Fang, Fujin, Zhang, Tiantian, Lei, Huan, Shen, Xiaobing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10315132/
https://www.ncbi.nlm.nih.gov/pubmed/37404478
http://dx.doi.org/10.7717/peerj.15613
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author Fang, Fujin
Zhang, Tiantian
Lei, Huan
Shen, Xiaobing
author_facet Fang, Fujin
Zhang, Tiantian
Lei, Huan
Shen, Xiaobing
author_sort Fang, Fujin
collection PubMed
description BACKGROUND: Gastric cancer (GC) is one of the most common malignant tumors in the digestive system. Several transmembrane (TMEM) proteins are defined as tumor suppressors or oncogenes. However, the role and underlying mechanism of TMEM200A in GC remain unclear. METHODS: We analyzed the expression of TMEM200A in GC. Furthermore, the influence of TMEM200A on survival of GC patients was evaluated. The correlations between the clinical information and TMEM200A expression were analyzed using chi-square test and logistic regression. Relevant prognostic factors were identified performing univariate and multivariate analysis. Gene set enrichment analysis (GSEA) was performed based on the TCGA dataset. Finally, we explore the relationship between TMEM200A expression and cancer immune infiltrates using CIBERSORT. RESULTS: TMEM200A was up-regulated in GC tissues than that in adjacent non-tumor tissues based on TCGA database. Meta-analysis and RT-qPCR validated the difference in TMEM200A expression. Kaplan-Meier curves suggested the increased TMEM200A had a poor prognosis in GC patients. The chi-square test and logistic regression analyses showed that the TMEM200A expression correlates significantly with T stage. Multivariate analysis showed that TMEM200A expression might be an important independent predictor of poor overall survival in GC patients. GSEA identified five immune-related signaling pathways and five tumor-related signaling pathways significantly enriched in the high TMEM200A expression phenotype pathway. Finally, we found CD8+ T cells is apparently decreased in high TMEM200A expression group. Conversely, eosinophils is increased in high expression group compared with low expression group. CONCLUSION: TMEM200A is a potential prognostic biomarker and correlated with immune infiltrates in GC.
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spelling pubmed-103151322023-07-03 TMEM200A is a potential prognostic biomarker and correlated with immune infiltrates in gastric cancer Fang, Fujin Zhang, Tiantian Lei, Huan Shen, Xiaobing PeerJ Bioinformatics BACKGROUND: Gastric cancer (GC) is one of the most common malignant tumors in the digestive system. Several transmembrane (TMEM) proteins are defined as tumor suppressors or oncogenes. However, the role and underlying mechanism of TMEM200A in GC remain unclear. METHODS: We analyzed the expression of TMEM200A in GC. Furthermore, the influence of TMEM200A on survival of GC patients was evaluated. The correlations between the clinical information and TMEM200A expression were analyzed using chi-square test and logistic regression. Relevant prognostic factors were identified performing univariate and multivariate analysis. Gene set enrichment analysis (GSEA) was performed based on the TCGA dataset. Finally, we explore the relationship between TMEM200A expression and cancer immune infiltrates using CIBERSORT. RESULTS: TMEM200A was up-regulated in GC tissues than that in adjacent non-tumor tissues based on TCGA database. Meta-analysis and RT-qPCR validated the difference in TMEM200A expression. Kaplan-Meier curves suggested the increased TMEM200A had a poor prognosis in GC patients. The chi-square test and logistic regression analyses showed that the TMEM200A expression correlates significantly with T stage. Multivariate analysis showed that TMEM200A expression might be an important independent predictor of poor overall survival in GC patients. GSEA identified five immune-related signaling pathways and five tumor-related signaling pathways significantly enriched in the high TMEM200A expression phenotype pathway. Finally, we found CD8+ T cells is apparently decreased in high TMEM200A expression group. Conversely, eosinophils is increased in high expression group compared with low expression group. CONCLUSION: TMEM200A is a potential prognostic biomarker and correlated with immune infiltrates in GC. PeerJ Inc. 2023-06-29 /pmc/articles/PMC10315132/ /pubmed/37404478 http://dx.doi.org/10.7717/peerj.15613 Text en © 2023 Fang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Bioinformatics
Fang, Fujin
Zhang, Tiantian
Lei, Huan
Shen, Xiaobing
TMEM200A is a potential prognostic biomarker and correlated with immune infiltrates in gastric cancer
title TMEM200A is a potential prognostic biomarker and correlated with immune infiltrates in gastric cancer
title_full TMEM200A is a potential prognostic biomarker and correlated with immune infiltrates in gastric cancer
title_fullStr TMEM200A is a potential prognostic biomarker and correlated with immune infiltrates in gastric cancer
title_full_unstemmed TMEM200A is a potential prognostic biomarker and correlated with immune infiltrates in gastric cancer
title_short TMEM200A is a potential prognostic biomarker and correlated with immune infiltrates in gastric cancer
title_sort tmem200a is a potential prognostic biomarker and correlated with immune infiltrates in gastric cancer
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10315132/
https://www.ncbi.nlm.nih.gov/pubmed/37404478
http://dx.doi.org/10.7717/peerj.15613
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