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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Bibliographic Details
Published in:Disease markers 2022-09, Vol.2022, p.1-9
Main Authors: Ning, Lidong, Zhao, Guanyan, Xie, Changji, Lan, Huan, Chen, Jiefei, Tan, Hu, Wei, ChengCong, Zhou, Zhiyu
Format: Article
Language:English
Subjects:
Biological activity
Biomarkers
Brain cancer
Cancer
Cell cycle
Datasets
Gene expression
Gene set enrichment analysis
Genes
Liquid phases
Medical prognosis
Phase separation
Prognosis
Quality
Regression analysis
Risk
Risk groups
Signal transduction
Software
Stat3 protein
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Summary: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.
ISSN:0278-0240
1875-8630
DOI:10.1155/2022/1487165