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Using integrated analysis from multicentre studies to identify RNA methylation-related lncRNA risk stratification systems for glioma

BACKGROUND: N6-methyladenosine (m6A), 5-methylcytosine (m5C) and N1-methyladenosine (m1A) are the main RNA methylation modifications involved in the progression of cancer. However, it is still unclear whether RNA methylation-related long noncoding RNAs (lncRNAs) affect the prognosis of glioma. METHO...

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Autores principales: Huang, Fanxuan, Wang, Xinyu, Zhong, Junzhe, Chen, Hao, Song, Dan, Xu, Tianye, Tian, Kaifu, Sun, Penggang, Sun, Nan, Qin, Jie, Song, Yu, Ma, Wenbin, Liu, Yuxiang, Yu, Daohan, Meng, Xiangqi, Jiang, Chuanlu, Xuan, Hanwen, Qian, Da, Cai, Jinquan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10403900/
https://www.ncbi.nlm.nih.gov/pubmed/37542290
http://dx.doi.org/10.1186/s12935-023-03001-w
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author Huang, Fanxuan
Wang, Xinyu
Zhong, Junzhe
Chen, Hao
Song, Dan
Xu, Tianye
Tian, Kaifu
Sun, Penggang
Sun, Nan
Qin, Jie
Song, Yu
Ma, Wenbin
Liu, Yuxiang
Yu, Daohan
Meng, Xiangqi
Jiang, Chuanlu
Xuan, Hanwen
Qian, Da
Cai, Jinquan
author_facet Huang, Fanxuan
Wang, Xinyu
Zhong, Junzhe
Chen, Hao
Song, Dan
Xu, Tianye
Tian, Kaifu
Sun, Penggang
Sun, Nan
Qin, Jie
Song, Yu
Ma, Wenbin
Liu, Yuxiang
Yu, Daohan
Meng, Xiangqi
Jiang, Chuanlu
Xuan, Hanwen
Qian, Da
Cai, Jinquan
author_sort Huang, Fanxuan
collection PubMed
description BACKGROUND: N6-methyladenosine (m6A), 5-methylcytosine (m5C) and N1-methyladenosine (m1A) are the main RNA methylation modifications involved in the progression of cancer. However, it is still unclear whether RNA methylation-related long noncoding RNAs (lncRNAs) affect the prognosis of glioma. METHODS: We summarized 32 m6A/m5C/m1A-related genes and downloaded RNA-seq data and clinical information from The Cancer Genome Atlas (TCGA) database. Differential expression analysis and weighted gene co-expression network analysis (WGCNA) were used to identify differentially expressed (DE-) RNA methylation-related lncRNAs in order to construct a prognostic signature of glioma and in order to determine their correlation with immune function, immune therapy and drug sensitivity. In vitro and in vivo assays were performed to elucidate the effects of RNA methylation-related lncRNAs on glioma. RESULTS: A total of ten RNA methylation-related lncRNAs were used to construct a survival and prognosis signature, which had good independent prediction ability for patients. It was found that the high-risk group had worse overall survival (OS) than the low-risk group in all cohorts. In addition, the risk group informed the immune function, immunotherapy response and drug sensitivity of patients with glioma in different subgroups. Knockdown of RP11-98I9.4 and RP11-752G15.8 induced a more invasive phenotype, accelerated cell growth and apparent resistance to temozolomide (TMZ) both in vitro and in vivo. We observed significantly elevated global RNA m5C and m6A levels in glioma cells. CONCLUSION: Our study determined the prognostic implication of RNA methylation-related lncRNAs in gliomas, established an RNA methylation-related lncRNA prognostic model, and elucidated that RP11-98I9.4 and RP11-752G15.8 could suppress glioma proliferation, migration and TMZ resistance. In the future, these RNA methylation-related lncRNAs may become a new choice for immunotherapy of glioma. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12935-023-03001-w.
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spelling pubmed-104039002023-08-06 Using integrated analysis from multicentre studies to identify RNA methylation-related lncRNA risk stratification systems for glioma Huang, Fanxuan Wang, Xinyu Zhong, Junzhe Chen, Hao Song, Dan Xu, Tianye Tian, Kaifu Sun, Penggang Sun, Nan Qin, Jie Song, Yu Ma, Wenbin Liu, Yuxiang Yu, Daohan Meng, Xiangqi Jiang, Chuanlu Xuan, Hanwen Qian, Da Cai, Jinquan Cancer Cell Int Research BACKGROUND: N6-methyladenosine (m6A), 5-methylcytosine (m5C) and N1-methyladenosine (m1A) are the main RNA methylation modifications involved in the progression of cancer. However, it is still unclear whether RNA methylation-related long noncoding RNAs (lncRNAs) affect the prognosis of glioma. METHODS: We summarized 32 m6A/m5C/m1A-related genes and downloaded RNA-seq data and clinical information from The Cancer Genome Atlas (TCGA) database. Differential expression analysis and weighted gene co-expression network analysis (WGCNA) were used to identify differentially expressed (DE-) RNA methylation-related lncRNAs in order to construct a prognostic signature of glioma and in order to determine their correlation with immune function, immune therapy and drug sensitivity. In vitro and in vivo assays were performed to elucidate the effects of RNA methylation-related lncRNAs on glioma. RESULTS: A total of ten RNA methylation-related lncRNAs were used to construct a survival and prognosis signature, which had good independent prediction ability for patients. It was found that the high-risk group had worse overall survival (OS) than the low-risk group in all cohorts. In addition, the risk group informed the immune function, immunotherapy response and drug sensitivity of patients with glioma in different subgroups. Knockdown of RP11-98I9.4 and RP11-752G15.8 induced a more invasive phenotype, accelerated cell growth and apparent resistance to temozolomide (TMZ) both in vitro and in vivo. We observed significantly elevated global RNA m5C and m6A levels in glioma cells. CONCLUSION: Our study determined the prognostic implication of RNA methylation-related lncRNAs in gliomas, established an RNA methylation-related lncRNA prognostic model, and elucidated that RP11-98I9.4 and RP11-752G15.8 could suppress glioma proliferation, migration and TMZ resistance. In the future, these RNA methylation-related lncRNAs may become a new choice for immunotherapy of glioma. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12935-023-03001-w. BioMed Central 2023-08-05 /pmc/articles/PMC10403900/ /pubmed/37542290 http://dx.doi.org/10.1186/s12935-023-03001-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Huang, Fanxuan
Wang, Xinyu
Zhong, Junzhe
Chen, Hao
Song, Dan
Xu, Tianye
Tian, Kaifu
Sun, Penggang
Sun, Nan
Qin, Jie
Song, Yu
Ma, Wenbin
Liu, Yuxiang
Yu, Daohan
Meng, Xiangqi
Jiang, Chuanlu
Xuan, Hanwen
Qian, Da
Cai, Jinquan
Using integrated analysis from multicentre studies to identify RNA methylation-related lncRNA risk stratification systems for glioma
title Using integrated analysis from multicentre studies to identify RNA methylation-related lncRNA risk stratification systems for glioma
title_full Using integrated analysis from multicentre studies to identify RNA methylation-related lncRNA risk stratification systems for glioma
title_fullStr Using integrated analysis from multicentre studies to identify RNA methylation-related lncRNA risk stratification systems for glioma
title_full_unstemmed Using integrated analysis from multicentre studies to identify RNA methylation-related lncRNA risk stratification systems for glioma
title_short Using integrated analysis from multicentre studies to identify RNA methylation-related lncRNA risk stratification systems for glioma
title_sort using integrated analysis from multicentre studies to identify rna methylation-related lncrna risk stratification systems for glioma
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10403900/
https://www.ncbi.nlm.nih.gov/pubmed/37542290
http://dx.doi.org/10.1186/s12935-023-03001-w
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