Malignant Transformation of a Dysembryoplastic Neuroepithelial Tumor (DNET) Characterized by Genome-Wide Methylation Analysis

Dieter Henrik Heiland(University Medical Center Freiburg), Ori Staszewski(University Medical Center Freiburg), Martin Hirsch(University Medical Center Freiburg), Waseem Masalha(University of Freiburg), Pamela Franco(University Medical Center Freiburg), Jürgen Grauvogel(University Medical Center Freiburg), David Capper(University of Freiburg), Daniel Schrimpf(University of Freiburg), Horst Urbach(University of Freiburg), Astrid Weyerbrock(University of Freiburg)
Journal of Neuropathology & Experimental Neurology
February 27, 2016
Cited by 36

Abstract

Dysembryoplastic neuroepithelial tumors (DNET) are considered to be rare, benign, and associated with chronic epilepsy. We present the case of a 28-year-old man with a history of epilepsy since age 12. Surgery of an occipital cortical lesion in 2009 revealed a DNET. Five years later, a recurrent tumor at the edge of the resection cavity was removed, and the tissue underwent an intensive diagnostic workup. The first tumor was unequivocally characterized as a DNET, but neuropathological diagnostics of the recurrent tumor revealed a glioblastoma. After 6 months, another recurrent tumor was detected next to the location of the original tumor, and this was also resected. An Illumina 450 K beadchip methylation array was performed to characterize all of the tumors. The methylation profile of these tumors significantly differed from other glioblastoma and epilepsy-associated tumor profiles and revealed a DNET-like methylation profile. Thus, molecular characterization of these recurrent tumors suggests malignant transformation of a previously benign DNET. We found increased copy number changes in the recurrent DNET tumors after malignant transformation. Modern high-throughput analysis adds essential molecular information in addition to standard histopathology for proper identification of rare brain tumors that present with an unusual clinical course.


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