MR imaging phenotype correlates with extent of genome-wide copy number abundance in IDH mutant gliomas
Recommended Citation
Wu CC, Jain R, Neto L, Patel S, Poisson LM, Serrano J, Ng V, Patel SH, Placantonakis DG, Zagzag D, Golfinos J, Chi AS, and Snuderl M. MR imaging phenotype correlates with extent of genome-wide copy number abundance in IDH mutant gliomas. Neuroradiology 2019; Epub ahead of print.
Document Type
Article
Publication Date
5-27-2019
Publication Title
Neuroradiology
Abstract
PURPOSE: There is variability in survival within IDH mutant gliomas determined by chromosomal events. Copy number variation (CNV) abundance associated with survival in low-grade and IDH mutant astrocytoma has been reported. Our purpose was to correlate the extent of genome-wide CNV abundance in IDH mutant astrocytomas with MRI features.
METHODS: Presurgical MRI and CNV plots derived from Illumina 850k EPIC DNA methylation arrays of 18 cases of WHO grade II-IV IDH mutant astrocytomas were reviewed. IDH mutant astrocytomas were divided into CNV stable group (CNV-S) with ≤ 3 chromosomal gains or losses and lack of focal gene amplifications and CNV unstable group (CNV-U) with > 3 large chromosomal gains/losses and/or focal amplifications. The associations between MR features, relative cerebral blood volume (rCBV), CNV abundance, and time to progression were assessed. Tumor rCBV estimates were obtained using DSC T2* perfusion analysis.
RESULTS: There were nine (50%) CNV-S and nine (50%) CNV-U IDH mutant astrocytomas. CNV-U tumors showed larger mean tumor size (P = 0.004) and maximum diameter on FLAIR (P = 0.004) and also demonstrated significantly higher median rCBV than CNV-S tumors (2.62 vs 0.78, P = 0.019). CNV-U tumors tended to have shorter time to progression although without statistical significance (P = 0.393).
CONCLUSIONS: Larger size/diameter and higher rCBVs were seen associated CNV-U astrocytomas, suggesting a correlation of aggressive imaging phenotype with unstable and aggressive genotype in IDH mutant astrocytomas.
PubMed ID
31134296
ePublication
ePub ahead of print