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5-methylcytosine RNA methylation regulators affect prognosis and tumor microenvironment in lung adenocarcinoma
BACKGROUND: Accumulating evidence has shown that 5-methylcytosinec (m5C) RNA methylation plays an essential role in tumorigenesis. However, the roles of m5C regulators in the prognosis, tumor microenvironment (TME), and immunotherapy responses of lung adenocarcinoma (LUAD) have not been fully analyz...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8987885/ https://www.ncbi.nlm.nih.gov/pubmed/35402591 http://dx.doi.org/10.21037/atm-22-500 |
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author | Liu, Taisheng Hu, Xiaoshan Lin, Chunxuan Shi, Xiaoshun He, Yujing Zhang, Jian Cai, Kaican |
author_facet | Liu, Taisheng Hu, Xiaoshan Lin, Chunxuan Shi, Xiaoshun He, Yujing Zhang, Jian Cai, Kaican |
author_sort | Liu, Taisheng |
collection | PubMed |
description | BACKGROUND: Accumulating evidence has shown that 5-methylcytosinec (m5C) RNA methylation plays an essential role in tumorigenesis. However, the roles of m5C regulators in the prognosis, tumor microenvironment (TME), and immunotherapy responses of lung adenocarcinoma (LUAD) have not been fully analyzed. METHODS: Based on 14 m5C RNA regulators, we evaluated the m5C RNA modification patterns in patients with LUAD (n=594) in The Cancer Genome Atlas (TCGA). Unsupervised clustering analysis was performed to confirm distinct m5C modification patterns. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed to investigate the biological functions of differentially expressed genes (DEGs) among different m5C RNA modification patterns. An m5C signature (m5Csig) was constructed using least absolute shrinkage and selection operator (LASSO) algorithms. The GSE72094 cohort (n=442) from the Gene Expression Omnibus (GEO) was used to validate m5Csig. A receiver operating characteristic (ROC) model was constructed to evaluate the sensitivity and specificity of m5Csig. Tumor-infiltrating immune cells (TIICs) between the high- and low-risk groups were estimated using the Cell Type Identification By Estimating Relative Subsets Of RNA Transcripts (CIBERSORT) algorithm. RESULTS: We identified 3 m5C RNA modification clusters. Overall survival (OS) differed among the 3 clusters. The m5Csig, including TRDMT1, NSUN1, NSUN4, NSUN7, and ALYREF, was constructed to classify patients with LUAD into high- and low-risk groups. The high-risk group, with more immune cell infiltration, had a significantly poorer OS than that the low-risk group, which was associated with better response to immune checkpoint blockade therapy. CONCLUSIONS: The present study revealed that m5C RNA regulators play a significant role in TME regulation in LUAD. The m5Csig can predict the prognosis of patients with LUAD and might provide novel strategies for tumor immunotherapy. |
format | Online Article Text |
id | pubmed-8987885 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-89878852022-04-08 5-methylcytosine RNA methylation regulators affect prognosis and tumor microenvironment in lung adenocarcinoma Liu, Taisheng Hu, Xiaoshan Lin, Chunxuan Shi, Xiaoshun He, Yujing Zhang, Jian Cai, Kaican Ann Transl Med Original Article BACKGROUND: Accumulating evidence has shown that 5-methylcytosinec (m5C) RNA methylation plays an essential role in tumorigenesis. However, the roles of m5C regulators in the prognosis, tumor microenvironment (TME), and immunotherapy responses of lung adenocarcinoma (LUAD) have not been fully analyzed. METHODS: Based on 14 m5C RNA regulators, we evaluated the m5C RNA modification patterns in patients with LUAD (n=594) in The Cancer Genome Atlas (TCGA). Unsupervised clustering analysis was performed to confirm distinct m5C modification patterns. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed to investigate the biological functions of differentially expressed genes (DEGs) among different m5C RNA modification patterns. An m5C signature (m5Csig) was constructed using least absolute shrinkage and selection operator (LASSO) algorithms. The GSE72094 cohort (n=442) from the Gene Expression Omnibus (GEO) was used to validate m5Csig. A receiver operating characteristic (ROC) model was constructed to evaluate the sensitivity and specificity of m5Csig. Tumor-infiltrating immune cells (TIICs) between the high- and low-risk groups were estimated using the Cell Type Identification By Estimating Relative Subsets Of RNA Transcripts (CIBERSORT) algorithm. RESULTS: We identified 3 m5C RNA modification clusters. Overall survival (OS) differed among the 3 clusters. The m5Csig, including TRDMT1, NSUN1, NSUN4, NSUN7, and ALYREF, was constructed to classify patients with LUAD into high- and low-risk groups. The high-risk group, with more immune cell infiltration, had a significantly poorer OS than that the low-risk group, which was associated with better response to immune checkpoint blockade therapy. CONCLUSIONS: The present study revealed that m5C RNA regulators play a significant role in TME regulation in LUAD. The m5Csig can predict the prognosis of patients with LUAD and might provide novel strategies for tumor immunotherapy. AME Publishing Company 2022-03 /pmc/articles/PMC8987885/ /pubmed/35402591 http://dx.doi.org/10.21037/atm-22-500 Text en 2022 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Original Article Liu, Taisheng Hu, Xiaoshan Lin, Chunxuan Shi, Xiaoshun He, Yujing Zhang, Jian Cai, Kaican 5-methylcytosine RNA methylation regulators affect prognosis and tumor microenvironment in lung adenocarcinoma |
title | 5-methylcytosine RNA methylation regulators affect prognosis and tumor microenvironment in lung adenocarcinoma |
title_full | 5-methylcytosine RNA methylation regulators affect prognosis and tumor microenvironment in lung adenocarcinoma |
title_fullStr | 5-methylcytosine RNA methylation regulators affect prognosis and tumor microenvironment in lung adenocarcinoma |
title_full_unstemmed | 5-methylcytosine RNA methylation regulators affect prognosis and tumor microenvironment in lung adenocarcinoma |
title_short | 5-methylcytosine RNA methylation regulators affect prognosis and tumor microenvironment in lung adenocarcinoma |
title_sort | 5-methylcytosine rna methylation regulators affect prognosis and tumor microenvironment in lung adenocarcinoma |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8987885/ https://www.ncbi.nlm.nih.gov/pubmed/35402591 http://dx.doi.org/10.21037/atm-22-500 |
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