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A novel m7G methylation–related signature associated with chromosome homeostasis in patients with lung adenocarcinoma
Lung adenocarcinoma (LUAD) is a malignant tumor of the respiratory system with poor prognosis. Recent studies have revealed that N7-methylguanosine (m7G) methylation is a widespread modification occurring in RNA. But the expression of m7G methylation–related genes in LUAD and their correlations with...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9637623/ https://www.ncbi.nlm.nih.gov/pubmed/36353111 http://dx.doi.org/10.3389/fgene.2022.998258 |
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author | Tao, Xiaoying Huang, Run Xu, Rujun Zheng, Shuang Yue, Juanqing |
author_facet | Tao, Xiaoying Huang, Run Xu, Rujun Zheng, Shuang Yue, Juanqing |
author_sort | Tao, Xiaoying |
collection | PubMed |
description | Lung adenocarcinoma (LUAD) is a malignant tumor of the respiratory system with poor prognosis. Recent studies have revealed that N7-methylguanosine (m7G) methylation is a widespread modification occurring in RNA. But the expression of m7G methylation–related genes in LUAD and their correlations with prognosis are still unclear. In this study, we found 12 m7G methylation–related regulators with differential expression between LUAD and normal lung tissues. According to differentially expressed genes (DEGs), all LUAD cases were separated into two subtypes. The prognostic value of each m7G methylation–related gene for survival was evaluated to construct a multigene signature using The Cancer Genome Atlas (TCGA) cohort. Finally, an m7G methylation–related prognostic signature based on three genes was built to classify LUAD patients into two risk groups. Patients in the high-risk group showed significantly reduced overall survival (OS) when compared with patients in the low-risk group (p < 0.05). The receiver operating characteristic (ROC) curve analysis confirmed the predictive capacity of the signature. The Gene Ontology (GO) functional annotation analysis disclosed that chromosome homeostasis plays an important role in this process. The gene set enrichment analysis (ssGSEA) implied that the immune status was decreased in the high-risk group. To sum up, m7G methylation–related genes play a vital role in tumor immunity and the related signature is a reliable predictor for LUAD prognosis. |
format | Online Article Text |
id | pubmed-9637623 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96376232022-11-08 A novel m7G methylation–related signature associated with chromosome homeostasis in patients with lung adenocarcinoma Tao, Xiaoying Huang, Run Xu, Rujun Zheng, Shuang Yue, Juanqing Front Genet Genetics Lung adenocarcinoma (LUAD) is a malignant tumor of the respiratory system with poor prognosis. Recent studies have revealed that N7-methylguanosine (m7G) methylation is a widespread modification occurring in RNA. But the expression of m7G methylation–related genes in LUAD and their correlations with prognosis are still unclear. In this study, we found 12 m7G methylation–related regulators with differential expression between LUAD and normal lung tissues. According to differentially expressed genes (DEGs), all LUAD cases were separated into two subtypes. The prognostic value of each m7G methylation–related gene for survival was evaluated to construct a multigene signature using The Cancer Genome Atlas (TCGA) cohort. Finally, an m7G methylation–related prognostic signature based on three genes was built to classify LUAD patients into two risk groups. Patients in the high-risk group showed significantly reduced overall survival (OS) when compared with patients in the low-risk group (p < 0.05). The receiver operating characteristic (ROC) curve analysis confirmed the predictive capacity of the signature. The Gene Ontology (GO) functional annotation analysis disclosed that chromosome homeostasis plays an important role in this process. The gene set enrichment analysis (ssGSEA) implied that the immune status was decreased in the high-risk group. To sum up, m7G methylation–related genes play a vital role in tumor immunity and the related signature is a reliable predictor for LUAD prognosis. Frontiers Media S.A. 2022-10-24 /pmc/articles/PMC9637623/ /pubmed/36353111 http://dx.doi.org/10.3389/fgene.2022.998258 Text en Copyright © 2022 Tao, Huang, Xu, Zheng and Yue. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Tao, Xiaoying Huang, Run Xu, Rujun Zheng, Shuang Yue, Juanqing A novel m7G methylation–related signature associated with chromosome homeostasis in patients with lung adenocarcinoma |
title | A novel m7G methylation–related signature associated with chromosome homeostasis in patients with lung adenocarcinoma |
title_full | A novel m7G methylation–related signature associated with chromosome homeostasis in patients with lung adenocarcinoma |
title_fullStr | A novel m7G methylation–related signature associated with chromosome homeostasis in patients with lung adenocarcinoma |
title_full_unstemmed | A novel m7G methylation–related signature associated with chromosome homeostasis in patients with lung adenocarcinoma |
title_short | A novel m7G methylation–related signature associated with chromosome homeostasis in patients with lung adenocarcinoma |
title_sort | novel m7g methylation–related signature associated with chromosome homeostasis in patients with lung adenocarcinoma |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9637623/ https://www.ncbi.nlm.nih.gov/pubmed/36353111 http://dx.doi.org/10.3389/fgene.2022.998258 |
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