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PMID: 39164213 Published · ppublish English

Contemporary prognostic signatures and refined risk stratification of gliomas: An analysis of 4400 tumors.

Neuro-oncology ·Vol. 27 ·No. 1 ·2025-01-12

Ghosh HS, Patel RV, Woodward E, Greenwald NF, Bhave VM, Maury EA, Cello G, Hoffman SE, Li Y, Gupta H, Youssef G, Spurr LF, Vogelzang J, Touat M, Dubois F, Cherniack AD, Guo X, Tavakol S, Cioffi G, Lindeman NI, Ligon AH, Chiocca EA, Reardon DA, Wen PY, Meredith DM, Santagata S, Barnholtz-Sloan JS, Ligon KL, Beroukhim R, Bi WL

Abstract

With the significant shift in the classification, risk stratification, and standards of care for gliomas, we sought to understand how the overall survival of patients with these tumors is impacted by molecular features, clinical metrics, and treatment received. We assembled a cohort of patients with histopathologically diagnosed glioma from The Cancer Genome Atlas (TCGA), Project Genomics Evidence Neoplasia Information Exchange, and Dana-Farber Cancer Institute/Brigham and Women's Hospital. This incorporated retrospective clinical, histological, and molecular data alongside a prospective assessment of patient survival. Of 4400 gliomas were identified: 2195 glioblastomas, 1198 IDH1/2-mutant astrocytomas, 531 oligodendrogliomas, 271 other IDH1/2-wild-type gliomas, and 205 pediatric-type glioma. Molecular classification updated 27.2% of gliomas from their original histopathologic diagnosis. Examining the distribution of molecular alterations across glioma subtypes revealed mutually exclusive alterations within tumorigenic pathways. Non-TCGA patients had significantly improved overall survival compared to TCGA patients, with 26.7%, 55.6%, and 127.8% longer survival for glioblastoma, IDH1/2-mutant astrocytoma, and oligodendroglioma, respectively (all P < .01). Several prognostic features were characterized, including NF1 alteration and 21q loss in glioblastoma, and EGFR amplification and 22q loss in IDH1/2-mutant astrocytoma. Leveraging the size of this cohort, nomograms were generated to assess the probability of overall survival based on patient age, the molecular features of a tumor, and the treatment received. By applying modern molecular criteria, we characterize the genomic diversity across glioma subtypes, identify clinically applicable prognostic features, and provide a contemporary update on patient survival to serve as a reference for ongoing investigations.

Keywords
astrocytoma glioma molecular classification oligodendroglioma prognosis
MeSH 主题词
Humans Glioma/genetics,pathology,mortality,classification Brain Neoplasms/genetics,pathology,mortality,classification Prognosis Female Male Mutation Middle Aged Adult Survival Rate Retrospective Studies Isocitrate Dehydrogenase/genetics Biomarkers, Tumor/genetics Young Adult Child Risk Assessment Adolescent Aged Follow-Up Studies Prospective Studies Child, Preschool
Article Info
Journal
Neuro-oncology
Abbr.
Neuro Oncol
ISSN
1523-5866
Published
2025-01-12
Language
English
Country/Region
England
NLM ID
100887420
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