Back to Search Start Over

Molecular analysis of pediatric CNS-PNET revealed nosologic heterogeneity and potent diagnostic markers for CNS neuroblastoma with FOXR2-activation.

Authors :
Korshunov A
Okonechnikov K
Schmitt-Hoffner F
Ryzhova M
Sahm F
Stichel D
Schrimpf D
Reuss DE
Sievers P
Suwala AK
Kumirova E
Zheludkova O
Golanov A
Jones DTW
Pfister SM
Kool M
von Deimling A
Source :
Acta neuropathologica communications [Acta Neuropathol Commun] 2021 Feb 03; Vol. 9 (1), pp. 20. Date of Electronic Publication: 2021 Feb 03.
Publication Year :
2021

Abstract

Primitive neuroectodermal tumors of the central nervous system (CNS-PNETs) are highly malignant neoplasms posing diagnostic challenge due to a lack of defining molecular markers. CNS neuroblastoma with forkhead box R2 (FOXR2) activation (CNS_NBL) emerged as a distinct pediatric brain tumor entity from a pool previously diagnosed as primitive neuroectodermal tumors of the central nervous system (CNS-PNETs). Current standard of identifying CNS_NBL relies on molecular analysis. We set out to establish immunohistochemical markers allowing safely distinguishing CNS_NBL from morphological mimics. To this aim we analyzed a series of 84 brain tumors institutionally diagnosed as CNS-PNET. As expected, epigenetic analysis revealed different methylation groups corresponding to the (1) CNS-NBL (24%), (2) glioblastoma IDH wild-type subclass H3.3 G34 (26%), (3) glioblastoma IDH wild-type subclass MYCN (21%) and (4) ependymoma with RELA_C11orf95 fusion (29%) entities. Transcriptome analysis of this series revealed a set of differentially expressed genes distinguishing CNS_NBL from its mimics. Based on RNA-sequencing data we established SOX10 and ANKRD55 expression as genes discriminating CNS_NBL from other tumors exhibiting CNS-PNET. Immunohistochemical detection of combined expression of SOX10 and ANKRD55 clearly identifies CNS_NBL discriminating them to other hemispheric CNS neoplasms harboring "PNET-like" microscopic appearance. Owing the rarity of CNS_NBL, a confirmation of the elaborated diagnostic IHC algorithm will be necessary in prospective patient series.

Details

Language :
English
ISSN :
2051-5960
Volume :
9
Issue :
1
Database :
MEDLINE
Journal :
Acta neuropathologica communications
Publication Type :
Academic Journal
Accession number :
33536079
Full Text :
https://doi.org/10.1186/s40478-021-01118-5