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Development and Validation of a Liquid-Liquid Phase Separation-Related Gene Signature as Prognostic Biomarker for Low-Grade Gliomas

AIM: To explore whether the liquid-liquid phase separation- (LLPS-) related genes were potential prognostic markers that could contribute to the further classification of low-grade gliomas (LGGs). METHODS: The LLPS-related genes were subjected to functional enrichment analysis. The univariable, leas...

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Autores principales: Ning, Lidong, Zhao, Guanyan, Xie, Changji, Lan, Huan, Chen, Jiefei, Tan, Hu, Wei, ChengCong, Zhou, Zhiyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9525737/
https://www.ncbi.nlm.nih.gov/pubmed/36193491
http://dx.doi.org/10.1155/2022/1487165
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author Ning, Lidong
Zhao, Guanyan
Xie, Changji
Lan, Huan
Chen, Jiefei
Tan, Hu
Wei, ChengCong
Zhou, Zhiyu
author_facet Ning, Lidong
Zhao, Guanyan
Xie, Changji
Lan, Huan
Chen, Jiefei
Tan, Hu
Wei, ChengCong
Zhou, Zhiyu
author_sort Ning, Lidong
collection PubMed
description AIM: To explore whether the liquid-liquid phase separation- (LLPS-) related genes were potential prognostic markers that could contribute to the further classification of low-grade gliomas (LGGs). METHODS: The LLPS-related genes were subjected to functional enrichment analysis. The univariable, least absolute shrinkage and selection operator, and multivariable stepwise Cox regression analyses were performed to develop an LLPS-related gene signature (GS) in the discovery data set. The biological characteristics of the high-risk LGG were explored using gene set enrichment analysis. Two independent external data sets were used to validate the LLPS-related GS. RESULTS: LLPS-related genes are involved in multiple important cancer-related biological processes and pathways in LGG. Nine LLPS-related genes were identified to construct the LLPS-related GS, which was significantly associated with the prognosis of LGG patients. The LLPS-related GS could successfully divide patients with LGG into high- and low-risk groups, and the high-risk group showed a poorer prognosis than the low-risk group. Furthermore, the LLPS-related GS was independent of IDH and 1p19q status. Several cancer-related pathways may be more active in high-risk LGGs, such as IL6 JAK STAT3 signaling pathway. The LLPS-related GS was successfully validated with two independent external data sets. CONCLUSION: We developed and validated a novel LLPS-related GS for risk stratification of LGG. Our findings may provide more precise management for LGGs and a useful reference for LLPS mechanism to link LGG studies.
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spelling pubmed-95257372022-10-02 Development and Validation of a Liquid-Liquid Phase Separation-Related Gene Signature as Prognostic Biomarker for Low-Grade Gliomas Ning, Lidong Zhao, Guanyan Xie, Changji Lan, Huan Chen, Jiefei Tan, Hu Wei, ChengCong Zhou, Zhiyu Dis Markers Research Article AIM: To explore whether the liquid-liquid phase separation- (LLPS-) related genes were potential prognostic markers that could contribute to the further classification of low-grade gliomas (LGGs). METHODS: The LLPS-related genes were subjected to functional enrichment analysis. The univariable, least absolute shrinkage and selection operator, and multivariable stepwise Cox regression analyses were performed to develop an LLPS-related gene signature (GS) in the discovery data set. The biological characteristics of the high-risk LGG were explored using gene set enrichment analysis. Two independent external data sets were used to validate the LLPS-related GS. RESULTS: LLPS-related genes are involved in multiple important cancer-related biological processes and pathways in LGG. Nine LLPS-related genes were identified to construct the LLPS-related GS, which was significantly associated with the prognosis of LGG patients. The LLPS-related GS could successfully divide patients with LGG into high- and low-risk groups, and the high-risk group showed a poorer prognosis than the low-risk group. Furthermore, the LLPS-related GS was independent of IDH and 1p19q status. Several cancer-related pathways may be more active in high-risk LGGs, such as IL6 JAK STAT3 signaling pathway. The LLPS-related GS was successfully validated with two independent external data sets. CONCLUSION: We developed and validated a novel LLPS-related GS for risk stratification of LGG. Our findings may provide more precise management for LGGs and a useful reference for LLPS mechanism to link LGG studies. Hindawi 2022-09-23 /pmc/articles/PMC9525737/ /pubmed/36193491 http://dx.doi.org/10.1155/2022/1487165 Text en Copyright © 2022 Lidong Ning et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Ning, Lidong
Zhao, Guanyan
Xie, Changji
Lan, Huan
Chen, Jiefei
Tan, Hu
Wei, ChengCong
Zhou, Zhiyu
Development and Validation of a Liquid-Liquid Phase Separation-Related Gene Signature as Prognostic Biomarker for Low-Grade Gliomas
title Development and Validation of a Liquid-Liquid Phase Separation-Related Gene Signature as Prognostic Biomarker for Low-Grade Gliomas
title_full Development and Validation of a Liquid-Liquid Phase Separation-Related Gene Signature as Prognostic Biomarker for Low-Grade Gliomas
title_fullStr Development and Validation of a Liquid-Liquid Phase Separation-Related Gene Signature as Prognostic Biomarker for Low-Grade Gliomas
title_full_unstemmed Development and Validation of a Liquid-Liquid Phase Separation-Related Gene Signature as Prognostic Biomarker for Low-Grade Gliomas
title_short Development and Validation of a Liquid-Liquid Phase Separation-Related Gene Signature as Prognostic Biomarker for Low-Grade Gliomas
title_sort development and validation of a liquid-liquid phase separation-related gene signature as prognostic biomarker for low-grade gliomas
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9525737/
https://www.ncbi.nlm.nih.gov/pubmed/36193491
http://dx.doi.org/10.1155/2022/1487165
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