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Mutation-derived, genomic instability-associated lncRNAs are prognostic markers in gliomas

BACKGROUND: Gliomas are the most commonly-detected malignant tumors of the brain. They contain abundant long non-coding RNAs (lncRNAs), which are valuable cancer biomarkers. LncRNAs may be involved in genomic instability; however, their specific role and mechanism in gliomas remains unclear. LncRNAs...

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Autores principales: Li, Shenglun, Chen, Yujia, Guo, Yuduo, Xu, Jiacheng, Wang, Xiang, Ning, Weihai, Ma, Lixin, Qu, Yanming, Zhang, Mingshan, Zhang, Hongwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10404032/
https://www.ncbi.nlm.nih.gov/pubmed/37547724
http://dx.doi.org/10.7717/peerj.15810
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author Li, Shenglun
Chen, Yujia
Guo, Yuduo
Xu, Jiacheng
Wang, Xiang
Ning, Weihai
Ma, Lixin
Qu, Yanming
Zhang, Mingshan
Zhang, Hongwei
author_facet Li, Shenglun
Chen, Yujia
Guo, Yuduo
Xu, Jiacheng
Wang, Xiang
Ning, Weihai
Ma, Lixin
Qu, Yanming
Zhang, Mingshan
Zhang, Hongwei
author_sort Li, Shenglun
collection PubMed
description BACKGROUND: Gliomas are the most commonly-detected malignant tumors of the brain. They contain abundant long non-coding RNAs (lncRNAs), which are valuable cancer biomarkers. LncRNAs may be involved in genomic instability; however, their specific role and mechanism in gliomas remains unclear. LncRNAs that are related to genomic instability have not been reported in gliomas. METHODS: The transcriptome data from The Cancer Genome Atlas (TCGA) database were analyzed. The co-expression network of genomic instability-related lncRNAs and mRNA was established, and the model of genomic instability-related lncRNA was identified by univariate Cox regression and LASSO analyses. Based on the median risk score obtained in the training set, we divided the samples into high-risk and low-risk groups and proved the survival prediction ability of genomic instability-related lncRNA signatures. The results were verified in the external data set. Finally, a real-time quantitative polymerase chain reaction assay was performed to validate the signature. RESULTS: The signatures of 17 lncRNAs (LINC01579, AL022344.1, AC025171.5, LINC01116, MIR155HG, AC131097.3, LINC00906, CYTOR, AC015540.1, SLC25A21.AS1, H19, AL133415.1, SNHG18, FOXD3.AS1, LINC02593, AL354919.2 and CRNDE) related to genomic instability were identified. In the internal data set and Gene Expression Omnibus (GEO) external data set, the low-risk group showed better survival than the high-risk group (P < 0.001). In addition, this feature was identified as an independent risk factor, showing its independent prognostic value with different clinical stratifications. The majority of patients in the low-risk group had isocitrate dehydrogenase 1 (IDH1) mutations. The expression levels of these lncRNAs were significantly higher in glioblastoma cell lines than in normal cells. CONCLUSIONS: Our study shows that the signature of 17 lncRNAs related to genomic instability has prognostic value for gliomas and could provide a potential therapeutic method for glioblastoma.
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spelling pubmed-104040322023-08-06 Mutation-derived, genomic instability-associated lncRNAs are prognostic markers in gliomas Li, Shenglun Chen, Yujia Guo, Yuduo Xu, Jiacheng Wang, Xiang Ning, Weihai Ma, Lixin Qu, Yanming Zhang, Mingshan Zhang, Hongwei PeerJ Bioinformatics BACKGROUND: Gliomas are the most commonly-detected malignant tumors of the brain. They contain abundant long non-coding RNAs (lncRNAs), which are valuable cancer biomarkers. LncRNAs may be involved in genomic instability; however, their specific role and mechanism in gliomas remains unclear. LncRNAs that are related to genomic instability have not been reported in gliomas. METHODS: The transcriptome data from The Cancer Genome Atlas (TCGA) database were analyzed. The co-expression network of genomic instability-related lncRNAs and mRNA was established, and the model of genomic instability-related lncRNA was identified by univariate Cox regression and LASSO analyses. Based on the median risk score obtained in the training set, we divided the samples into high-risk and low-risk groups and proved the survival prediction ability of genomic instability-related lncRNA signatures. The results were verified in the external data set. Finally, a real-time quantitative polymerase chain reaction assay was performed to validate the signature. RESULTS: The signatures of 17 lncRNAs (LINC01579, AL022344.1, AC025171.5, LINC01116, MIR155HG, AC131097.3, LINC00906, CYTOR, AC015540.1, SLC25A21.AS1, H19, AL133415.1, SNHG18, FOXD3.AS1, LINC02593, AL354919.2 and CRNDE) related to genomic instability were identified. In the internal data set and Gene Expression Omnibus (GEO) external data set, the low-risk group showed better survival than the high-risk group (P < 0.001). In addition, this feature was identified as an independent risk factor, showing its independent prognostic value with different clinical stratifications. The majority of patients in the low-risk group had isocitrate dehydrogenase 1 (IDH1) mutations. The expression levels of these lncRNAs were significantly higher in glioblastoma cell lines than in normal cells. CONCLUSIONS: Our study shows that the signature of 17 lncRNAs related to genomic instability has prognostic value for gliomas and could provide a potential therapeutic method for glioblastoma. PeerJ Inc. 2023-08-02 /pmc/articles/PMC10404032/ /pubmed/37547724 http://dx.doi.org/10.7717/peerj.15810 Text en © 2023 Li et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Bioinformatics
Li, Shenglun
Chen, Yujia
Guo, Yuduo
Xu, Jiacheng
Wang, Xiang
Ning, Weihai
Ma, Lixin
Qu, Yanming
Zhang, Mingshan
Zhang, Hongwei
Mutation-derived, genomic instability-associated lncRNAs are prognostic markers in gliomas
title Mutation-derived, genomic instability-associated lncRNAs are prognostic markers in gliomas
title_full Mutation-derived, genomic instability-associated lncRNAs are prognostic markers in gliomas
title_fullStr Mutation-derived, genomic instability-associated lncRNAs are prognostic markers in gliomas
title_full_unstemmed Mutation-derived, genomic instability-associated lncRNAs are prognostic markers in gliomas
title_short Mutation-derived, genomic instability-associated lncRNAs are prognostic markers in gliomas
title_sort mutation-derived, genomic instability-associated lncrnas are prognostic markers in gliomas
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10404032/
https://www.ncbi.nlm.nih.gov/pubmed/37547724
http://dx.doi.org/10.7717/peerj.15810
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