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Identification of an m6A-Related Long Noncoding RNA Risk Model for Predicting Prognosis and Directing Treatments in Patients With Colon Adenocarcinoma
N6-methyladenosine (m6A) and lncRNAs have been implicated in the development of colon cancer, including tumorigenesis, migration, and invasion. However, the specific effect of m6A regulators on lncRNAs is not clear, and m6A-related lncRNAs may be new prognostic biomarkers and may help direct treatme...
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/PMC9326028/ https://www.ncbi.nlm.nih.gov/pubmed/35912098 http://dx.doi.org/10.3389/fcell.2022.910749 |
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author | Liao, Wanying Long, Junyu Li, Yiran Xie, Fucun Xun, Ziyu Wang, Yanyu Yang, Xu Wang, Yunchao Zhou, Kang Sang, Xinting Zhao, Haitao |
author_facet | Liao, Wanying Long, Junyu Li, Yiran Xie, Fucun Xun, Ziyu Wang, Yanyu Yang, Xu Wang, Yunchao Zhou, Kang Sang, Xinting Zhao, Haitao |
author_sort | Liao, Wanying |
collection | PubMed |
description | N6-methyladenosine (m6A) and lncRNAs have been implicated in the development of colon cancer, including tumorigenesis, migration, and invasion. However, the specific effect of m6A regulators on lncRNAs is not clear, and m6A-related lncRNAs may be new prognostic biomarkers and may help direct treatment and medication. We identified 29 prognostic m6A-related lncRNAs and constructed a risk model using 12 lncRNAs. The model was an independent prognostic factor and could accurately predict the prognosis. A stable and robust nomogram that combined the model and pathologic stage was constructed. A total of 2,424 differentially expressed genes (DEGs) were identified based on the model. Functional analysis of the DEGs showed that they were associated with tumor progression, helping investigate the underlying biological functions and signaling pathways of the risk model. In addition, the low-risk group based on the risk model had more sensitivity to afatinib, metformin, and GW.441756, and patients with low risk would more likely respond to immunotherapy. Moreover, patients with higher risk were more sensitive to olaparib, bexarotene, and doxorubicin. |
format | Online Article Text |
id | pubmed-9326028 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93260282022-07-28 Identification of an m6A-Related Long Noncoding RNA Risk Model for Predicting Prognosis and Directing Treatments in Patients With Colon Adenocarcinoma Liao, Wanying Long, Junyu Li, Yiran Xie, Fucun Xun, Ziyu Wang, Yanyu Yang, Xu Wang, Yunchao Zhou, Kang Sang, Xinting Zhao, Haitao Front Cell Dev Biol Cell and Developmental Biology N6-methyladenosine (m6A) and lncRNAs have been implicated in the development of colon cancer, including tumorigenesis, migration, and invasion. However, the specific effect of m6A regulators on lncRNAs is not clear, and m6A-related lncRNAs may be new prognostic biomarkers and may help direct treatment and medication. We identified 29 prognostic m6A-related lncRNAs and constructed a risk model using 12 lncRNAs. The model was an independent prognostic factor and could accurately predict the prognosis. A stable and robust nomogram that combined the model and pathologic stage was constructed. A total of 2,424 differentially expressed genes (DEGs) were identified based on the model. Functional analysis of the DEGs showed that they were associated with tumor progression, helping investigate the underlying biological functions and signaling pathways of the risk model. In addition, the low-risk group based on the risk model had more sensitivity to afatinib, metformin, and GW.441756, and patients with low risk would more likely respond to immunotherapy. Moreover, patients with higher risk were more sensitive to olaparib, bexarotene, and doxorubicin. Frontiers Media S.A. 2022-07-13 /pmc/articles/PMC9326028/ /pubmed/35912098 http://dx.doi.org/10.3389/fcell.2022.910749 Text en Copyright © 2022 Liao, Long, Li, Xie, Xun, Wang, Yang, Wang, Zhou, Sang and Zhao. 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 | Cell and Developmental Biology Liao, Wanying Long, Junyu Li, Yiran Xie, Fucun Xun, Ziyu Wang, Yanyu Yang, Xu Wang, Yunchao Zhou, Kang Sang, Xinting Zhao, Haitao Identification of an m6A-Related Long Noncoding RNA Risk Model for Predicting Prognosis and Directing Treatments in Patients With Colon Adenocarcinoma |
title | Identification of an m6A-Related Long Noncoding RNA Risk Model for Predicting Prognosis and Directing Treatments in Patients With Colon Adenocarcinoma |
title_full | Identification of an m6A-Related Long Noncoding RNA Risk Model for Predicting Prognosis and Directing Treatments in Patients With Colon Adenocarcinoma |
title_fullStr | Identification of an m6A-Related Long Noncoding RNA Risk Model for Predicting Prognosis and Directing Treatments in Patients With Colon Adenocarcinoma |
title_full_unstemmed | Identification of an m6A-Related Long Noncoding RNA Risk Model for Predicting Prognosis and Directing Treatments in Patients With Colon Adenocarcinoma |
title_short | Identification of an m6A-Related Long Noncoding RNA Risk Model for Predicting Prognosis and Directing Treatments in Patients With Colon Adenocarcinoma |
title_sort | identification of an m6a-related long noncoding rna risk model for predicting prognosis and directing treatments in patients with colon adenocarcinoma |
topic | Cell and Developmental Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9326028/ https://www.ncbi.nlm.nih.gov/pubmed/35912098 http://dx.doi.org/10.3389/fcell.2022.910749 |
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