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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...

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Autores principales: Wang, Ruixi, Cheng, Xingyuan, Chi, Dongmei, Liu, Shiliang, Li, Qiaoqiao, Chen, Baoqing, Xi, Mian
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
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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.
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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
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