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The prognostic value and immune landscaps of m6A/m5C-related lncRNAs signature in the low grade glioma

BACKGROUND: N6-methyladenosine (m6A) and 5-methylcytosine (m5C) are the main RNA methylation modifications involved in the oncogenesis of cancer. However, it remains obscure whether m6A/m5C-related long non-coding RNAs (lncRNAs) affect the development and progression of low grade gliomas (LGG). METH...

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Autores principales: Li, Ran, Chen, Haiyan, Li, Chaoxi, Qi, Yiwei, Zhao, Kai, Wang, Junwen, You, Chao, Huang, Haohao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320943/
https://www.ncbi.nlm.nih.gov/pubmed/37403043
http://dx.doi.org/10.1186/s12859-023-05386-x
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author Li, Ran
Chen, Haiyan
Li, Chaoxi
Qi, Yiwei
Zhao, Kai
Wang, Junwen
You, Chao
Huang, Haohao
author_facet Li, Ran
Chen, Haiyan
Li, Chaoxi
Qi, Yiwei
Zhao, Kai
Wang, Junwen
You, Chao
Huang, Haohao
author_sort Li, Ran
collection PubMed
description BACKGROUND: N6-methyladenosine (m6A) and 5-methylcytosine (m5C) are the main RNA methylation modifications involved in the oncogenesis of cancer. However, it remains obscure whether m6A/m5C-related long non-coding RNAs (lncRNAs) affect the development and progression of low grade gliomas (LGG). METHODS: We summarized 926 LGG tumor samples with RNA-seq data and clinical information from The Cancer Genome Atlas and Chinese Glioma Genome Atlas. 105 normal brain samples with RNA-seq data from the Genotype Tissue Expression project were collected for control. We obtained a molecular classification cluster from the expression pattern of sreened lncRNAs. The least absolute shrinkage and selection operator Cox regression was employed to construct a m6A/m5C-related lncRNAs prognostic signature of LGG. In vitro experiments were employed to validate the biological functions of lncRNAs in our risk model. RESULTS: The expression pattern of 14 sreened highly correlated lncRNAs could cluster samples into two groups, in which various clinicopathological features and the tumor immune microenvironment were significantly distinct. The survival time of cluster 1 was significantly reduced compared with cluster 2. This prognostic signature is based on 8 m6A/m5C-related lncRNAs (GDNF-AS1, HOXA-AS3, LINC00346, LINC00664, LINC00665, MIR155HG, NEAT1, RHPN1-AS1). Patients in the high-risk group harbored shorter survival times. Immunity microenvironment analysis showed B cells, CD4 + T cells, macrophages, and myeloid-derived DC cells were significantly increased in the high-risk group. Patients in high-risk group had the worse overall survival time regardless of followed TMZ therapy or radiotherapy. All observed results from the TCGA-LGG cohort could be validated in CGGA cohort. Afterwards, LINC00664 was found to promote cell viability, invasion and migration ability of glioma cells in vitro. CONCLUSION: Our study elucidated a prognostic prediction model of LGG by 8 m6A/m5C methylated lncRNAs and a critical lncRNA regulation function involved in LGG progression. High-risk patients have shorter survival times and a pro-tumor immune microenvironment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-023-05386-x.
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spelling pubmed-103209432023-07-06 The prognostic value and immune landscaps of m6A/m5C-related lncRNAs signature in the low grade glioma Li, Ran Chen, Haiyan Li, Chaoxi Qi, Yiwei Zhao, Kai Wang, Junwen You, Chao Huang, Haohao BMC Bioinformatics Research BACKGROUND: N6-methyladenosine (m6A) and 5-methylcytosine (m5C) are the main RNA methylation modifications involved in the oncogenesis of cancer. However, it remains obscure whether m6A/m5C-related long non-coding RNAs (lncRNAs) affect the development and progression of low grade gliomas (LGG). METHODS: We summarized 926 LGG tumor samples with RNA-seq data and clinical information from The Cancer Genome Atlas and Chinese Glioma Genome Atlas. 105 normal brain samples with RNA-seq data from the Genotype Tissue Expression project were collected for control. We obtained a molecular classification cluster from the expression pattern of sreened lncRNAs. The least absolute shrinkage and selection operator Cox regression was employed to construct a m6A/m5C-related lncRNAs prognostic signature of LGG. In vitro experiments were employed to validate the biological functions of lncRNAs in our risk model. RESULTS: The expression pattern of 14 sreened highly correlated lncRNAs could cluster samples into two groups, in which various clinicopathological features and the tumor immune microenvironment were significantly distinct. The survival time of cluster 1 was significantly reduced compared with cluster 2. This prognostic signature is based on 8 m6A/m5C-related lncRNAs (GDNF-AS1, HOXA-AS3, LINC00346, LINC00664, LINC00665, MIR155HG, NEAT1, RHPN1-AS1). Patients in the high-risk group harbored shorter survival times. Immunity microenvironment analysis showed B cells, CD4 + T cells, macrophages, and myeloid-derived DC cells were significantly increased in the high-risk group. Patients in high-risk group had the worse overall survival time regardless of followed TMZ therapy or radiotherapy. All observed results from the TCGA-LGG cohort could be validated in CGGA cohort. Afterwards, LINC00664 was found to promote cell viability, invasion and migration ability of glioma cells in vitro. CONCLUSION: Our study elucidated a prognostic prediction model of LGG by 8 m6A/m5C methylated lncRNAs and a critical lncRNA regulation function involved in LGG progression. High-risk patients have shorter survival times and a pro-tumor immune microenvironment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-023-05386-x. BioMed Central 2023-07-04 /pmc/articles/PMC10320943/ /pubmed/37403043 http://dx.doi.org/10.1186/s12859-023-05386-x 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
Li, Ran
Chen, Haiyan
Li, Chaoxi
Qi, Yiwei
Zhao, Kai
Wang, Junwen
You, Chao
Huang, Haohao
The prognostic value and immune landscaps of m6A/m5C-related lncRNAs signature in the low grade glioma
title The prognostic value and immune landscaps of m6A/m5C-related lncRNAs signature in the low grade glioma
title_full The prognostic value and immune landscaps of m6A/m5C-related lncRNAs signature in the low grade glioma
title_fullStr The prognostic value and immune landscaps of m6A/m5C-related lncRNAs signature in the low grade glioma
title_full_unstemmed The prognostic value and immune landscaps of m6A/m5C-related lncRNAs signature in the low grade glioma
title_short The prognostic value and immune landscaps of m6A/m5C-related lncRNAs signature in the low grade glioma
title_sort prognostic value and immune landscaps of m6a/m5c-related lncrnas signature in the low grade glioma
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320943/
https://www.ncbi.nlm.nih.gov/pubmed/37403043
http://dx.doi.org/10.1186/s12859-023-05386-x
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