BIOM-30. NOVEL HISTOLOGIC AND MOLECULAR BIOMARKERS FOR OLIGODENDROGLIOMA

Abstract Oligodendrogliomas are progressive, infiltrative gliomas. While new molecular criteria were introduced in 2016 for diagnosing oligodendroglioma, the grading criteria remains largely unchanged. We evaluated histologic and molecular features for new biomarkers of aggressive behavior, using a cohort of 184 specimens diagnosed as low grade oligodendroglioma within the Duke Brain Tumor Center Biorepository. To identify tumors meeting current molecular criteria for oligodendroglioma, IDH1/2 status was confirmed by whole exome sequencing and 1p/19q codeletion confirmed using inferred copy number variation. First, we assessed for a histologic feature called hypercellular nodules (HCN), which are foci of increased cellularity in regions of otherwise lower cellularity tumor. In patients with newly diagnosed grade 2 oligodendroglioma, 16% (15/92) had HCN. While the median overall survival (OS) was 24.1 years without HCN, the median OS with HCN was only 13.6 years (p<0.02, Mantel-Cox test). We then assessed for homozygous deletion of CDKN2A. Cases with potential CDKN2A homozygous deletion by inferred copy number variation were validated by fluorescence in situ hybridization. In patients with newly diagnosed grade 2 oligodendroglioma, 2% had homozygous CDKN2A deletion (2/107). While the median OS with intact or hemizygous CDKN2A loss was 21 years, it decreased to 3.8 years with homozygous CDKN2A deletion (p<0.0001, Mantel-Cox test), although interpretation is limited given the rarity of homozygous CDKN2A loss at initial diagnosis. For recurrent grade 2 oligodendroglioma, 6% had homozygous deletion (5/77). While the median OS with intact or hemizygous CDKN2A loss in recurrent oligodendroglioma was 25.4 years, it decreased to 6.7 years with homozygous CDKN2A deletion (p< 0.04, Mantel-Cox test). These studies provide support for using HCN and CDKN2A homozygous deletion as grading criteria for oligodendroglioma. Further studies are ongoing, including covariate analysis, expanded cohorts, and ongoing analysis of whole exome sequencing data to identify additional genetic alterations correlated with overall survival.