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Identification and validation of a novel eight mutant-derived long non-coding RNAs signature as a prognostic biomarker for genome instability in low-grade glioma

Long non-coding RNAs (lncRNAs) comprise an integral part of the eukaryotic transcriptome. Alongside proteins, lncRNAs modulate lncRNA-based gene signatures of unstable transcripts, play a crucial role as antisense lncRNAs to control intracellular homeostasis and are implicated in tumorigenesis. Howe...

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Autores principales: Maimaiti, Aierpati, Wang, Xixian, Pei, Yinan, Nuermaimaiti, Nuerbiye, Tuersunniyazi, Abudireheman, Abula, Yaeraili, Feng, Zhaohai, Jiang, Lei, Shi, Xin, Kasimu, Maimaitijiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8221298/
https://www.ncbi.nlm.nih.gov/pubmed/34081618
http://dx.doi.org/10.18632/aging.203079
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author Maimaiti, Aierpati
Wang, Xixian
Pei, Yinan
Nuermaimaiti, Nuerbiye
Tuersunniyazi, Abudireheman
Abula, Yaeraili
Feng, Zhaohai
Jiang, Lei
Shi, Xin
Kasimu, Maimaitijiang
author_facet Maimaiti, Aierpati
Wang, Xixian
Pei, Yinan
Nuermaimaiti, Nuerbiye
Tuersunniyazi, Abudireheman
Abula, Yaeraili
Feng, Zhaohai
Jiang, Lei
Shi, Xin
Kasimu, Maimaitijiang
author_sort Maimaiti, Aierpati
collection PubMed
description Long non-coding RNAs (lncRNAs) comprise an integral part of the eukaryotic transcriptome. Alongside proteins, lncRNAs modulate lncRNA-based gene signatures of unstable transcripts, play a crucial role as antisense lncRNAs to control intracellular homeostasis and are implicated in tumorigenesis. However, the role of genomic instability-associated lncRNAs in low-grade gliomas (LGG) has not been fully explored. In this study, lncRNAs expression and somatic mutation profiles in low-grade glioma genome were used to identify eight novel mutant-derived genomic instability-associated lncRNAs including H19, FLG-AS1, AC091932.1, AC064875.1, AL138767.3, AC010273.2, AC131097.4 and ISX-AS1. Patients from the LGG gene mutagenome atlas were grouped into training and validation sets to test the performance of the signature. The genomic instability-associated lncRNAs signature (GILncSig) was then validated using multiple external cohorts. A total of 59 novel genomic instability-associated lncRNAs in LGG were used for least absolute shrinkage and selection operator (Lasso), single and multifactor Cox regression analysis using the training set. Furthermore, the independent predictive role of risk features in the training and validation sets were evaluated through survival analysis, receiver operating feature analysis and construction of a nomogram. Patients with IDH1 mutation status were grouped into two different risk groups based on the GILncSig score. The low-risk group showed a relatively higher rate of IDH1 mutations compared with patients in the high-risk group. Furthermore, patients in the low-risk group had better prognosis compared with patients in the high-risk group. In summary, this study reports a reliable prognostic prediction signature and provides a basis for further investigation of the role of lncRNAs on genomic instability. In addition, lncRNAs in the signature can be used as new targets for treatment of LGG.
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spelling pubmed-82212982021-06-26 Identification and validation of a novel eight mutant-derived long non-coding RNAs signature as a prognostic biomarker for genome instability in low-grade glioma Maimaiti, Aierpati Wang, Xixian Pei, Yinan Nuermaimaiti, Nuerbiye Tuersunniyazi, Abudireheman Abula, Yaeraili Feng, Zhaohai Jiang, Lei Shi, Xin Kasimu, Maimaitijiang Aging (Albany NY) Research Paper Long non-coding RNAs (lncRNAs) comprise an integral part of the eukaryotic transcriptome. Alongside proteins, lncRNAs modulate lncRNA-based gene signatures of unstable transcripts, play a crucial role as antisense lncRNAs to control intracellular homeostasis and are implicated in tumorigenesis. However, the role of genomic instability-associated lncRNAs in low-grade gliomas (LGG) has not been fully explored. In this study, lncRNAs expression and somatic mutation profiles in low-grade glioma genome were used to identify eight novel mutant-derived genomic instability-associated lncRNAs including H19, FLG-AS1, AC091932.1, AC064875.1, AL138767.3, AC010273.2, AC131097.4 and ISX-AS1. Patients from the LGG gene mutagenome atlas were grouped into training and validation sets to test the performance of the signature. The genomic instability-associated lncRNAs signature (GILncSig) was then validated using multiple external cohorts. A total of 59 novel genomic instability-associated lncRNAs in LGG were used for least absolute shrinkage and selection operator (Lasso), single and multifactor Cox regression analysis using the training set. Furthermore, the independent predictive role of risk features in the training and validation sets were evaluated through survival analysis, receiver operating feature analysis and construction of a nomogram. Patients with IDH1 mutation status were grouped into two different risk groups based on the GILncSig score. The low-risk group showed a relatively higher rate of IDH1 mutations compared with patients in the high-risk group. Furthermore, patients in the low-risk group had better prognosis compared with patients in the high-risk group. In summary, this study reports a reliable prognostic prediction signature and provides a basis for further investigation of the role of lncRNAs on genomic instability. In addition, lncRNAs in the signature can be used as new targets for treatment of LGG. Impact Journals 2021-06-03 /pmc/articles/PMC8221298/ /pubmed/34081618 http://dx.doi.org/10.18632/aging.203079 Text en Copyright: © 2021 Maimaiti et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Maimaiti, Aierpati
Wang, Xixian
Pei, Yinan
Nuermaimaiti, Nuerbiye
Tuersunniyazi, Abudireheman
Abula, Yaeraili
Feng, Zhaohai
Jiang, Lei
Shi, Xin
Kasimu, Maimaitijiang
Identification and validation of a novel eight mutant-derived long non-coding RNAs signature as a prognostic biomarker for genome instability in low-grade glioma
title Identification and validation of a novel eight mutant-derived long non-coding RNAs signature as a prognostic biomarker for genome instability in low-grade glioma
title_full Identification and validation of a novel eight mutant-derived long non-coding RNAs signature as a prognostic biomarker for genome instability in low-grade glioma
title_fullStr Identification and validation of a novel eight mutant-derived long non-coding RNAs signature as a prognostic biomarker for genome instability in low-grade glioma
title_full_unstemmed Identification and validation of a novel eight mutant-derived long non-coding RNAs signature as a prognostic biomarker for genome instability in low-grade glioma
title_short Identification and validation of a novel eight mutant-derived long non-coding RNAs signature as a prognostic biomarker for genome instability in low-grade glioma
title_sort identification and validation of a novel eight mutant-derived long non-coding rnas signature as a prognostic biomarker for genome instability in low-grade glioma
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8221298/
https://www.ncbi.nlm.nih.gov/pubmed/34081618
http://dx.doi.org/10.18632/aging.203079
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