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Prognostic value of m6A regulators and the nomogram construction in glioma patients
Although N6-methyladenosine (m6A) has been implicated in various biological functions in human cancers, its role in predicting the prognosis of glioma remains unclear. In this study, the transcriptome expression profiles and the clinical data of 961 patients were derived from the Chinese Glioma Geno...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9478228/ https://www.ncbi.nlm.nih.gov/pubmed/36123877 http://dx.doi.org/10.1097/MD.0000000000030643 |
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author | Liu, Pengdi Yan, Xianxia Ma, Chengwen Gu, Junxiang Tian, Fuyu Qu, Jianqiang |
author_facet | Liu, Pengdi Yan, Xianxia Ma, Chengwen Gu, Junxiang Tian, Fuyu Qu, Jianqiang |
author_sort | Liu, Pengdi |
collection | PubMed |
description | Although N6-methyladenosine (m6A) has been implicated in various biological functions in human cancers, its role in predicting the prognosis of glioma remains unclear. In this study, the transcriptome expression profiles and the clinical data of 961 patients were derived from the Chinese Glioma Genome Atlas (CGGA). We comprehensively evaluated the association between the expression of m6A regulators and the prognosis of glioma and established a 3-gene (YTHDF2, FTO, and ALKBH5) risk signature using least absolute shrinkage and selection operator (LASSO) analysis. Patients with a high-risk signature had significantly adverse prognoses. Gene set enrichment analysis (GSEA) analysis revealed that the G2M checkpoint, MTORC1 signaling, epithelial mesenchymal transition, and PI3K-AKT-mTOR signaling were significantly enriched in the high-risk group. Univariate and multivariate Cox regression analyses confirmed the independent prognostic value of this risk signature. We then constructed a nomogram for individualized prediction of overall survival (OS) by integrating clinicopathological features (age, World Health Organization [WHO] grade), treatment information (radiotherapy, temozolomide therapy), and m6A risk signature. The calibration curves showed excellent agreement between the predicted and actual probabilities for the 1-, 3-, and 5-year OS, with a C-index of 0.780 in the training cohort and 0.717 in the validation cohort. Altogether, our study elucidated the important role of m6A regulators in glioma prognosis, which is valuable for the selection of therapeutic methods and clinical management of patients with glioma. |
format | Online Article Text |
id | pubmed-9478228 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-94782282022-09-19 Prognostic value of m6A regulators and the nomogram construction in glioma patients Liu, Pengdi Yan, Xianxia Ma, Chengwen Gu, Junxiang Tian, Fuyu Qu, Jianqiang Medicine (Baltimore) Research Article Although N6-methyladenosine (m6A) has been implicated in various biological functions in human cancers, its role in predicting the prognosis of glioma remains unclear. In this study, the transcriptome expression profiles and the clinical data of 961 patients were derived from the Chinese Glioma Genome Atlas (CGGA). We comprehensively evaluated the association between the expression of m6A regulators and the prognosis of glioma and established a 3-gene (YTHDF2, FTO, and ALKBH5) risk signature using least absolute shrinkage and selection operator (LASSO) analysis. Patients with a high-risk signature had significantly adverse prognoses. Gene set enrichment analysis (GSEA) analysis revealed that the G2M checkpoint, MTORC1 signaling, epithelial mesenchymal transition, and PI3K-AKT-mTOR signaling were significantly enriched in the high-risk group. Univariate and multivariate Cox regression analyses confirmed the independent prognostic value of this risk signature. We then constructed a nomogram for individualized prediction of overall survival (OS) by integrating clinicopathological features (age, World Health Organization [WHO] grade), treatment information (radiotherapy, temozolomide therapy), and m6A risk signature. The calibration curves showed excellent agreement between the predicted and actual probabilities for the 1-, 3-, and 5-year OS, with a C-index of 0.780 in the training cohort and 0.717 in the validation cohort. Altogether, our study elucidated the important role of m6A regulators in glioma prognosis, which is valuable for the selection of therapeutic methods and clinical management of patients with glioma. Lippincott Williams & Wilkins 2022-09-16 /pmc/articles/PMC9478228/ /pubmed/36123877 http://dx.doi.org/10.1097/MD.0000000000030643 Text en Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC) (https://creativecommons.org/licenses/by-nc/4.0/) , where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. |
spellingShingle | Research Article Liu, Pengdi Yan, Xianxia Ma, Chengwen Gu, Junxiang Tian, Fuyu Qu, Jianqiang Prognostic value of m6A regulators and the nomogram construction in glioma patients |
title | Prognostic value of m6A regulators and the nomogram construction in glioma patients |
title_full | Prognostic value of m6A regulators and the nomogram construction in glioma patients |
title_fullStr | Prognostic value of m6A regulators and the nomogram construction in glioma patients |
title_full_unstemmed | Prognostic value of m6A regulators and the nomogram construction in glioma patients |
title_short | Prognostic value of m6A regulators and the nomogram construction in glioma patients |
title_sort | prognostic value of m6a regulators and the nomogram construction in glioma patients |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9478228/ https://www.ncbi.nlm.nih.gov/pubmed/36123877 http://dx.doi.org/10.1097/MD.0000000000030643 |
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