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Comprehensive analyses indicated the association between m6A related long non‐coding RNAs and various pathways in glioma

BACKGROUND: Glioma is one of the most malignant brain tumors and diseases. N6‐methyladenosine modification (m6A) is the most abundant and prevalent internal chemical modification of mRNA and long non‐coding RNAs (lncRNAs) in eukaryotes. Nevertheless, the correlated pathways and clinical utilization...

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Autores principales: Chen, Zhuohui, Zhang, Wei, Yan, Zhouyi, Zhang, Mengqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9844638/
https://www.ncbi.nlm.nih.gov/pubmed/35668574
http://dx.doi.org/10.1002/cam4.4913
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author Chen, Zhuohui
Zhang, Wei
Yan, Zhouyi
Zhang, Mengqi
author_facet Chen, Zhuohui
Zhang, Wei
Yan, Zhouyi
Zhang, Mengqi
author_sort Chen, Zhuohui
collection PubMed
description BACKGROUND: Glioma is one of the most malignant brain tumors and diseases. N6‐methyladenosine modification (m6A) is the most abundant and prevalent internal chemical modification of mRNA and long non‐coding RNAs (lncRNAs) in eukaryotes. Nevertheless, the correlated pathways and clinical utilization of m6A‐related lncRNAs have not been fully evaluated in glioma. METHODS: Public RNA‐sequencing and clinical annotation data were retrieved from TCGA, CGGA and GEO database. Differential expression analysis and univariate Cox regression analysis were performed to identify the m6A‐related and differentially expressed lncRNAs with prognostic function (m6A‐DELPF). The consensus clustering was performed to identify the expression pattern of m6A‐DELPF. LASSO Cox regression analysis was performed to construct the lncRNA‐based signature. The CIBERSORT and ESTIMATE algorithms were performed to analyze immune infiltration and tumor microenvironment, respectively. Immunotherapy sensitivity analysis was performed using data from TCIA. The small molecule drugs prediction analysis was performed using The Connectivity Map (CMap) database and STITCH database. A competing endogenous RNAs (ceRNA) network was constructed based on miRcode, miRDB, miRTarBase, TargetScan database. RESULTS: Two clusters (cluster1 and cluster2) were identified after unsupervised cluster analysis based on m6A‐DELPF. Additionally, a 15‐gene prognostic signature namely m6A‐DELPFS was constructed. Analyses of epithelial‐mesenchymal‐transition score, tumor microenvironment, immune infiltration, clinical characterization analysis, and putative drug prediction were performed to confirm the clinical utility and efficacy of m6A‐DELPFS. The potential mechanisms including tumor immune microenvironment of m6A‐DELPF influence the initiation and progression of glioma. A clinically accessible nomogram was also constructed based on the m6A‐DELPF and other survival‐relevant clinical parameters. Two miRNAs and 114 mRNAs were identified as the downstream of seven m6A‐related lncRNAs in a ceRNA network. CONCLUSION: Our present research confirmed the clinical value of m6A related lncRNAs and their high correlation with tumor immunity, tumor microenvironment, tumor mutation burden and drug sensitivity in glioma.
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spelling pubmed-98446382023-01-24 Comprehensive analyses indicated the association between m6A related long non‐coding RNAs and various pathways in glioma Chen, Zhuohui Zhang, Wei Yan, Zhouyi Zhang, Mengqi Cancer Med Research Articles BACKGROUND: Glioma is one of the most malignant brain tumors and diseases. N6‐methyladenosine modification (m6A) is the most abundant and prevalent internal chemical modification of mRNA and long non‐coding RNAs (lncRNAs) in eukaryotes. Nevertheless, the correlated pathways and clinical utilization of m6A‐related lncRNAs have not been fully evaluated in glioma. METHODS: Public RNA‐sequencing and clinical annotation data were retrieved from TCGA, CGGA and GEO database. Differential expression analysis and univariate Cox regression analysis were performed to identify the m6A‐related and differentially expressed lncRNAs with prognostic function (m6A‐DELPF). The consensus clustering was performed to identify the expression pattern of m6A‐DELPF. LASSO Cox regression analysis was performed to construct the lncRNA‐based signature. The CIBERSORT and ESTIMATE algorithms were performed to analyze immune infiltration and tumor microenvironment, respectively. Immunotherapy sensitivity analysis was performed using data from TCIA. The small molecule drugs prediction analysis was performed using The Connectivity Map (CMap) database and STITCH database. A competing endogenous RNAs (ceRNA) network was constructed based on miRcode, miRDB, miRTarBase, TargetScan database. RESULTS: Two clusters (cluster1 and cluster2) were identified after unsupervised cluster analysis based on m6A‐DELPF. Additionally, a 15‐gene prognostic signature namely m6A‐DELPFS was constructed. Analyses of epithelial‐mesenchymal‐transition score, tumor microenvironment, immune infiltration, clinical characterization analysis, and putative drug prediction were performed to confirm the clinical utility and efficacy of m6A‐DELPFS. The potential mechanisms including tumor immune microenvironment of m6A‐DELPF influence the initiation and progression of glioma. A clinically accessible nomogram was also constructed based on the m6A‐DELPF and other survival‐relevant clinical parameters. Two miRNAs and 114 mRNAs were identified as the downstream of seven m6A‐related lncRNAs in a ceRNA network. CONCLUSION: Our present research confirmed the clinical value of m6A related lncRNAs and their high correlation with tumor immunity, tumor microenvironment, tumor mutation burden and drug sensitivity in glioma. John Wiley and Sons Inc. 2022-06-06 /pmc/articles/PMC9844638/ /pubmed/35668574 http://dx.doi.org/10.1002/cam4.4913 Text en © 2022 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Chen, Zhuohui
Zhang, Wei
Yan, Zhouyi
Zhang, Mengqi
Comprehensive analyses indicated the association between m6A related long non‐coding RNAs and various pathways in glioma
title Comprehensive analyses indicated the association between m6A related long non‐coding RNAs and various pathways in glioma
title_full Comprehensive analyses indicated the association between m6A related long non‐coding RNAs and various pathways in glioma
title_fullStr Comprehensive analyses indicated the association between m6A related long non‐coding RNAs and various pathways in glioma
title_full_unstemmed Comprehensive analyses indicated the association between m6A related long non‐coding RNAs and various pathways in glioma
title_short Comprehensive analyses indicated the association between m6A related long non‐coding RNAs and various pathways in glioma
title_sort comprehensive analyses indicated the association between m6a related long non‐coding rnas and various pathways in glioma
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9844638/
https://www.ncbi.nlm.nih.gov/pubmed/35668574
http://dx.doi.org/10.1002/cam4.4913
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