Cargando…
M(1)A and m(7)G modification-related genes are potential biomarkers for survival prognosis and for deciphering the tumor immune microenvironment in esophageal squamous cell carcinoma
BACKGROUND: Esophageal squamous cell carcinoma (ESCC) is the most common esophageal malignancy, and RNA methylation has been reported to be involved in the tumorigenesis of ESCC. However, no study has explored methylation modifications in m(1)A and m(7)G as prognostic markers for survival prediction...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10267068/ https://www.ncbi.nlm.nih.gov/pubmed/37314494 http://dx.doi.org/10.1007/s12672-023-00710-6 |
_version_ | 1785058856820277248 |
---|---|
author | Wang, Ruixi Cheng, Xingyuan Chi, Dongmei Liu, Shiliang Li, Qiaoqiao Chen, Baoqing Xi, Mian |
author_facet | Wang, Ruixi Cheng, Xingyuan Chi, Dongmei Liu, Shiliang Li, Qiaoqiao Chen, Baoqing Xi, Mian |
author_sort | Wang, Ruixi |
collection | PubMed |
description | BACKGROUND: Esophageal squamous cell carcinoma (ESCC) is the most common esophageal malignancy, and RNA methylation has been reported to be involved in the tumorigenesis of ESCC. However, no study has explored methylation modifications in m(1)A and m(7)G as prognostic markers for survival prediction in ESCC. METHODS: Public gene-expression data and clinical annotation of 254 patients obtained from The Cancer Genome Atlas and the Gene Expression Omnibus databases were analyzed to identify potential consensus clusters of m(1)A and m(7)G modification-related genes. The RNA-seq of 20 patients in Sun Yat-Sen University Cancer Center was used as the validation set. Following screening for relevant differentially expressed genes (DEGs) and enrichment pathways were elucidated. DEGs were used to construct risk models using the randomForest algorithm, and the prognostic role of the models was assessed by applying Kaplan–Meier analysis. Extent of immune cell infiltration, drug resistance, and response to cancer treatment among different clusters and risk groups were also evaluated. RESULTS: Consensus clustering analysis based on m(1)A and m(7)G modification patterns revealed three potential clusters. In total, 212 RNA methylation-related DEGs were identified. The methylation-associated signature consisting of 6 genes was then constructed to calculate methylation-related score (MRScore) and patients were dived into MRScore-high and MRScore-low groups. This signature has satisfied prognostic value for survival of ESCC (AUC = 0.66, 0.67, 0.64 for 2-, 3-, 4- year OS), and has satisfied performance in the validation SYSUCC cohort (AUC = 0.66 for 2- and 3-year OS). Significant correlation between m(1)A and m(7)G modification-related genes and immune cell infiltration, and drug resistance was also observed. CONCLUSIONS: Transcriptomic prognostic signatures based on m(1)A and m(7)G modification-related genes are closely associated with immune cell infiltration in ESCC patients and have important correlations with the therapeutic sensitivity of multiple chemotherapeutic agents. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12672-023-00710-6. |
format | Online Article Text |
id | pubmed-10267068 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-102670682023-06-15 M(1)A and m(7)G modification-related genes are potential biomarkers for survival prognosis and for deciphering the tumor immune microenvironment in esophageal squamous cell carcinoma Wang, Ruixi Cheng, Xingyuan Chi, Dongmei Liu, Shiliang Li, Qiaoqiao Chen, Baoqing Xi, Mian Discov Oncol Research BACKGROUND: Esophageal squamous cell carcinoma (ESCC) is the most common esophageal malignancy, and RNA methylation has been reported to be involved in the tumorigenesis of ESCC. However, no study has explored methylation modifications in m(1)A and m(7)G as prognostic markers for survival prediction in ESCC. METHODS: Public gene-expression data and clinical annotation of 254 patients obtained from The Cancer Genome Atlas and the Gene Expression Omnibus databases were analyzed to identify potential consensus clusters of m(1)A and m(7)G modification-related genes. The RNA-seq of 20 patients in Sun Yat-Sen University Cancer Center was used as the validation set. Following screening for relevant differentially expressed genes (DEGs) and enrichment pathways were elucidated. DEGs were used to construct risk models using the randomForest algorithm, and the prognostic role of the models was assessed by applying Kaplan–Meier analysis. Extent of immune cell infiltration, drug resistance, and response to cancer treatment among different clusters and risk groups were also evaluated. RESULTS: Consensus clustering analysis based on m(1)A and m(7)G modification patterns revealed three potential clusters. In total, 212 RNA methylation-related DEGs were identified. The methylation-associated signature consisting of 6 genes was then constructed to calculate methylation-related score (MRScore) and patients were dived into MRScore-high and MRScore-low groups. This signature has satisfied prognostic value for survival of ESCC (AUC = 0.66, 0.67, 0.64 for 2-, 3-, 4- year OS), and has satisfied performance in the validation SYSUCC cohort (AUC = 0.66 for 2- and 3-year OS). Significant correlation between m(1)A and m(7)G modification-related genes and immune cell infiltration, and drug resistance was also observed. CONCLUSIONS: Transcriptomic prognostic signatures based on m(1)A and m(7)G modification-related genes are closely associated with immune cell infiltration in ESCC patients and have important correlations with the therapeutic sensitivity of multiple chemotherapeutic agents. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12672-023-00710-6. Springer US 2023-06-14 /pmc/articles/PMC10267068/ /pubmed/37314494 http://dx.doi.org/10.1007/s12672-023-00710-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Wang, Ruixi Cheng, Xingyuan Chi, Dongmei Liu, Shiliang Li, Qiaoqiao Chen, Baoqing Xi, Mian M(1)A and m(7)G modification-related genes are potential biomarkers for survival prognosis and for deciphering the tumor immune microenvironment in esophageal squamous cell carcinoma |
title | M(1)A and m(7)G modification-related genes are potential biomarkers for survival prognosis and for deciphering the tumor immune microenvironment in esophageal squamous cell carcinoma |
title_full | M(1)A and m(7)G modification-related genes are potential biomarkers for survival prognosis and for deciphering the tumor immune microenvironment in esophageal squamous cell carcinoma |
title_fullStr | M(1)A and m(7)G modification-related genes are potential biomarkers for survival prognosis and for deciphering the tumor immune microenvironment in esophageal squamous cell carcinoma |
title_full_unstemmed | M(1)A and m(7)G modification-related genes are potential biomarkers for survival prognosis and for deciphering the tumor immune microenvironment in esophageal squamous cell carcinoma |
title_short | M(1)A and m(7)G modification-related genes are potential biomarkers for survival prognosis and for deciphering the tumor immune microenvironment in esophageal squamous cell carcinoma |
title_sort | m(1)a and m(7)g modification-related genes are potential biomarkers for survival prognosis and for deciphering the tumor immune microenvironment in esophageal squamous cell carcinoma |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10267068/ https://www.ncbi.nlm.nih.gov/pubmed/37314494 http://dx.doi.org/10.1007/s12672-023-00710-6 |
work_keys_str_mv | AT wangruixi m1aandm7gmodificationrelatedgenesarepotentialbiomarkersforsurvivalprognosisandfordecipheringthetumorimmunemicroenvironmentinesophagealsquamouscellcarcinoma AT chengxingyuan m1aandm7gmodificationrelatedgenesarepotentialbiomarkersforsurvivalprognosisandfordecipheringthetumorimmunemicroenvironmentinesophagealsquamouscellcarcinoma AT chidongmei m1aandm7gmodificationrelatedgenesarepotentialbiomarkersforsurvivalprognosisandfordecipheringthetumorimmunemicroenvironmentinesophagealsquamouscellcarcinoma AT liushiliang m1aandm7gmodificationrelatedgenesarepotentialbiomarkersforsurvivalprognosisandfordecipheringthetumorimmunemicroenvironmentinesophagealsquamouscellcarcinoma AT liqiaoqiao m1aandm7gmodificationrelatedgenesarepotentialbiomarkersforsurvivalprognosisandfordecipheringthetumorimmunemicroenvironmentinesophagealsquamouscellcarcinoma AT chenbaoqing m1aandm7gmodificationrelatedgenesarepotentialbiomarkersforsurvivalprognosisandfordecipheringthetumorimmunemicroenvironmentinesophagealsquamouscellcarcinoma AT ximian m1aandm7gmodificationrelatedgenesarepotentialbiomarkersforsurvivalprognosisandfordecipheringthetumorimmunemicroenvironmentinesophagealsquamouscellcarcinoma |