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A prognostic risk model for glioma patients by systematic evaluation of genomic variations
- Source :
- iScience, Vol 25, Iss 12, Pp 105681- (2022)
- Publication Year :
- 2022
- Publisher :
- Elsevier, 2022.
-
Abstract
- Summary: The overall survival rate of gliomas has not significantly improved despite new effective treatments, mainly due to tumor heterogeneity and drug delivery. Here, we perform an integrated clinic-genomic analysis of 1, 477 glioma patients from a Chinese cohort and a TCGA cohort and propose a potential prognostic model for gliomas. We identify that SBS11 and SBS23 mutational signatures are associated with glioma recurrence and indicate worse prognosis only in low-grade type of gliomas and IDH-Mut subtype. We also identify 42 genomic features associated with distinct clinical outcome and successfully used ten of these to develop a prognostic risk model of gliomas. The high-risk glioma patients with shortened survival were characterized by high level of frequent copy number alterations including PTEN, CDKN2A/B deletion, EGFR amplification, less IDH1 or CIC gene mutations, high infiltration levels of immunosuppressive cells and activation of G2M checkpoint and Oxidative phosphorylation oncogenic pathway.
Details
- Language :
- English
- ISSN :
- 25890042
- Volume :
- 25
- Issue :
- 12
- Database :
- Directory of Open Access Journals
- Journal :
- iScience
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.fcd0c9c07b5d44129093145a6b637a17
- Document Type :
- article
- Full Text :
- https://doi.org/10.1016/j.isci.2022.105681