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WHO Grade Loses Its Prognostic Value in Molecularly Defined Diffuse Lower-Grade Gliomas
Louise Carstam1,2, Alba Corell1,2, Anja Smits2,3
1Department of Neurosurgery, Sahlgrenska University Hospital, Gothenburg, Sweden.
WHO grade is not a reliable prognostic factor for diffuse lower-grade glioma (dLGG) with IDH mutations. Tumor size is a key predictor, while residual volume is significant only in astrocytomas.
Area of Science:
- Neuro-oncology
- Molecular diagnostics
- Cancer prognostication
Background:
- Established prognostic factors for diffuse lower-grade glioma (dLGG) largely predate molecular classification.
- The prognostic value of World Health Organization (WHO) grade in IDH-mutant dLGG requires re-evaluation.
- This study investigates the role of traditional prognostic factors in the context of molecularly defined dLGG subgroups.
Purpose of the Study:
- To assess the prognostic significance of WHO grade in molecularly classified dLGG.
- To evaluate the relevance of previously used prognostic factors in the current molecular landscape.
- To determine reliable prognostic markers for IDH-mutant dLGG.
Main Methods:
- Analysis of 253 adult patients with morphological dLGG diagnosed between 2007 and 2018.
- Molecular analysis included IDH mutations, 1p/19q codeletion, and CDKN2A/B deletions.
- Statistical methods included log-rank tests and multivariable analyses to assess prognostic factors.
Main Results:
- WHO grade 2 and 3 showed no significant survival difference in IDH-mutant dLGG without CDKN2A/B deletion.
- Residual tumor volume was prognostic in IDH-mutant astrocytomas but not oligodendrogliomas.
- Preoperative tumor size independently predicted survival in both astrocytomas and oligodendrogliomas.
Conclusions:
- WHO grade is not a robust prognostic factor for molecularly defined IDH-mutant dLGG.
- Preoperative tumor size is a consistent prognostic indicator across IDH-mutant astrocytomas and oligodendrogliomas.
- Traditional age-based risk stratification for IDH-mutant dLGG is not supported by current molecular data.
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