“Hemispheric pilocytic astrocytoma” revisited: A comprehensive clinicopathological and molecular series emphasizing their overlap with other glioneuronal tumors

authors

  • Mariet Cassandra
  • Grill Jacques
  • Ajlil Yassine
  • Castel David
  • Dangouloff-Ros Volodia
  • Boddaert Nathalie
  • Meurgey Alexandra
  • Pissaloux Daniel
  • Appay Romain
  • Saffroy Raphaël
  • Puget Stéphanie
  • Blauwblomme Thomas
  • Beccaria Kévin
  • Hasty Lauren
  • Rigau Valérie
  • Roujeau Thomas
  • Aline-Fardin Aude
  • Chrétien Fabrice
  • Métais Alice
  • Varlet Pascale
  • Tauziède-Espariat Arnault

document type

ART

abstract

Abstract Pilocytic astrocytomas (PA) typically exhibit distinct clinical, radiological, histopathological, and genetic features. DNA-methylation profiling distinguishes PA according to their location (infratentorial, midline, hemispheric, or spinal). In the hemispheric location, distinguishing PA from glioneuronal tumors remains a common diagnostic challenge for neuropathologists. Furthermore, the current version of the DKFZ classifier seems to have difficulty separating them from gangliogliomas. In this study, after central radiological review, we identified a histopathologically defined set of PA (histPA, n = 11) and a cohort of DNA-methylation defined PA (mcPA, n = 11). Nine out of the 11 histPA matched the methylation class of hemispheric PA, whereas 2 cases were classified at the end of the study as dysembryoplastic neuroepithelial tumors. Similarly, the mcPA cohort contained tumors mainly classified as PA (7/11), but 4 cases were classified as glioneuronal. The analysis of the 16 tumors with an integrated diagnosis of PA revealed that they affect mainly children with a wide spectrum of radiological, histopathological (i.e. a predominantly diffuse growth pattern), and genetic characteristics (large range of mitogen-activated protein kinase alterations). Based on these results, we consider hemispheric PA to be different from their counterparts in other locations and to overlap with other glioneuronal tumors, reinforcing the necessity of interpreting all data to obtain an accurate diagnosis.

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