IDH/MGMT-driven molecular classification of low-grade glioma is a strong predictor for long-term survival.

ABSTRACT:

Background

Low-grade gliomas (LGGs) are rare brain neoplasms, with survival spanning up to a few decades. Thus, accurate evaluations on how biomarkers impact survival among patients with LGG require long-term studies on samples prospectively collected over a long period.

Methods

The 210 adult LGGs collected in our databank were screened for IDH1 and IDH2 mutations (IDHmut), MGMT gene promoter methylation (MGMTmet), 1p/19q loss of heterozygosity (1p19qloh), and nuclear TP53 immunopositivity (TP53pos). Multivariate survival analyses with multiple imputation of missing data were performed using either histopathology or molecular markers. Both models were compared using Akaike's information criterion (AIC). The molecular model was reduced by stepwise model selection to filter ou

SUBMITTER: Leu S 

PROVIDER: S-EPMC3607260 | biostudies-literature | 2013 Apr

REPOSITORIES: biostudies-literature