Faculty Bibliography

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)

Low-grade astrocytomas (LGAs) carry neomorphic mutations in isocitrate dehydrogenase (IDH) concurrently with P53 and ATRX loss. To model LGA formation, we introduced R132H IDH1, P53 shRNA, and ATRX shRNA into human neural stem cells (NSCs). These oncogenic hits blocked NSC differentiation, increased invasiveness in vivo, and led to a DNA methylation and transcriptional profile resembling IDH1 mutant human LGAs. The differentiation block was caused by transcriptional silencing of the transcription factor SOX2 secondary to disassociation of its promoter from a putative enhancer. This occurred because of reduced binding of the chromatin organizer CTCF to its DNA motifs and disrupted chromatin looping. Our human model of IDH mutant LGA formation implicates impaired NSC differentiation because of repression of SOX2 as an early driver of gliomagenesis.