Faculty Bibliography

Sudden unexpected death in epilepsy (SUDEP) is the leading cause of epilepsy-related mortality in young adults. The exact mechanisms are unknown but death often follows a generalized tonic-clonic seizure. Proposed mechanisms include seizure-related respiratory, cardiac, autonomic, and arousal dysfunction. Genetic drivers underlying SUDEP risk are largely unknown. To identify potential SUDEP risk genes, we compared whole-exome sequences (WES) derived from formalin-fixed paraffin embedded surgical brain specimens of eight epilepsy patients who died from SUDEP with seven living controls matched for age at surgery, sex, year of surgery and lobe of resection. We compared identified variants from both groups filtering known polymorphisms from publicly available data as well as scanned for epilepsy and candidate SUDEP genes. In the SUDEP cohort, we identified mutually exclusive variants in genes involved in µ-opiod signaling, gamma-aminobutyric acid (GABA) and glutamate-mediated synaptic signaling, includingARRB2,ITPR1,GABRR2,SSTR5,GRIK1,CTNAP2,GRM8,GNAI2andGRIK5. In SUDEP patients we also identified variants in genes associated with cardiac arrhythmia, includingKCNMB1,KCNIP1,DPP6,JUP,F2, andTUBA3D, which were not present in living epilepsy controls. Our data shows that genomic analysis of brain tissue resected for seizure control can identify potential genetic biomarkers of SUDEP risk.

Purpose: Prior studies have shown correlation between relative cerebral blood volume (rCBV) and patient survival and tumor genomics. The purpose of this study was to determine whether rCBV values correlate with isocitrate dehydrogenase (IDH) mutation status, genome-wide CNV (copy number variation) and patient overall survival in diffuse gliomas. Materials & Methods: 107 treatment naive gliomas (62 patients from TCGA/TCIA dataset and 45 patients from our institute) (44 glioblastoma and 63 lower grade gliomas) with DSC T2* perfusion data were included. IDH mutation and survival data were assayed by the TCGA, and pre-surgical imaging collected by The Cancer Imaging Archive. CNVabundance plots obtained with Illumina 850k EPIC DNA methylation arrays were reviewed in 19 patients. The association of rCBV with tumor genomics, CNV and overall survival were analyzed. Results: IDH-wildtype gliomas (44.8%) demonstrated higher rCBV values (rCBV = 6.87 +/- 3.09) than IDH-mutated gliomas (55.2%, rCBV =2.21 +/- 1.71 for 1p/19q codeleted gliomas and 2.09 +/- 2.00 for non-codeleted gliomas, ANOVA, p<0.0001). rCBV is a significant predictor of overall survival (HR 1.23, p<0.0001). Gliomas with rCBV < 3.80 showed better survival (n = 54, median survival time unobserved) than gliomas with rCBV > 3.8 (n = 53, median 18 months; log-rank p<0.0001). IDHwt gliomas with high rCBV had the worst survival (10.6% surviving at 3 years, 95% CI (4%, 30%)). CNV-S IDHmut 1p19q noncodeleted gliomas demonstrated significantly lower mean rCBV (1.4 +/- 0.4) than CNV-U gliomas (4.0 +/- 1.1, p = 0.009). Conclusion: IDHwt gliomas show higher rCBV than IDHmut gliomas irrespective of the glioma grade. Higher rCBV measurements are associated with poorer survival in the entire cohort and also within IDHmut and IDHwt gliomas. IDHmut 1p19q noncodeleted gliomas with higher CNV abundance (CNV-U) also show higher CBV when compared with those with lesser degree of CNVabundance (CNV-S)