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

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 fr...

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Autores principales: Korshunov, Andrey, Okonechnikov, Konstantin, Schmitt-Hoffner, Felix, Ryzhova, Marina, Sahm, Felix, Stichel, Damian, Schrimpf, Daniel, Reuss, David E., Sievers, Philipp, Suwala, Abigail Kora, Kumirova, Ella, Zheludkova, Olga, Golanov, Andrey, Jones, David T. W., Pfister, Stefan M., Kool, Marcel, von Deimling, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7860633/
https://www.ncbi.nlm.nih.gov/pubmed/33536079
http://dx.doi.org/10.1186/s40478-021-01118-5
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author Korshunov, Andrey
Okonechnikov, Konstantin
Schmitt-Hoffner, Felix
Ryzhova, Marina
Sahm, Felix
Stichel, Damian
Schrimpf, Daniel
Reuss, David E.
Sievers, Philipp
Suwala, Abigail Kora
Kumirova, Ella
Zheludkova, Olga
Golanov, Andrey
Jones, David T. W.
Pfister, Stefan M.
Kool, Marcel
von Deimling, Andreas
author_facet Korshunov, Andrey
Okonechnikov, Konstantin
Schmitt-Hoffner, Felix
Ryzhova, Marina
Sahm, Felix
Stichel, Damian
Schrimpf, Daniel
Reuss, David E.
Sievers, Philipp
Suwala, Abigail Kora
Kumirova, Ella
Zheludkova, Olga
Golanov, Andrey
Jones, David T. W.
Pfister, Stefan M.
Kool, Marcel
von Deimling, Andreas
author_sort Korshunov, Andrey
collection PubMed
description 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.
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spelling pubmed-78606332021-02-05 Molecular analysis of pediatric CNS-PNET revealed nosologic heterogeneity and potent diagnostic markers for CNS neuroblastoma with FOXR2-activation Korshunov, Andrey Okonechnikov, Konstantin Schmitt-Hoffner, Felix Ryzhova, Marina Sahm, Felix Stichel, Damian Schrimpf, Daniel Reuss, David E. Sievers, Philipp Suwala, Abigail Kora Kumirova, Ella Zheludkova, Olga Golanov, Andrey Jones, David T. W. Pfister, Stefan M. Kool, Marcel von Deimling, Andreas Acta Neuropathol Commun Research 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. BioMed Central 2021-02-03 /pmc/articles/PMC7860633/ /pubmed/33536079 http://dx.doi.org/10.1186/s40478-021-01118-5 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Korshunov, Andrey
Okonechnikov, Konstantin
Schmitt-Hoffner, Felix
Ryzhova, Marina
Sahm, Felix
Stichel, Damian
Schrimpf, Daniel
Reuss, David E.
Sievers, Philipp
Suwala, Abigail Kora
Kumirova, Ella
Zheludkova, Olga
Golanov, Andrey
Jones, David T. W.
Pfister, Stefan M.
Kool, Marcel
von Deimling, Andreas
Molecular analysis of pediatric CNS-PNET revealed nosologic heterogeneity and potent diagnostic markers for CNS neuroblastoma with FOXR2-activation
title Molecular analysis of pediatric CNS-PNET revealed nosologic heterogeneity and potent diagnostic markers for CNS neuroblastoma with FOXR2-activation
title_full Molecular analysis of pediatric CNS-PNET revealed nosologic heterogeneity and potent diagnostic markers for CNS neuroblastoma with FOXR2-activation
title_fullStr Molecular analysis of pediatric CNS-PNET revealed nosologic heterogeneity and potent diagnostic markers for CNS neuroblastoma with FOXR2-activation
title_full_unstemmed Molecular analysis of pediatric CNS-PNET revealed nosologic heterogeneity and potent diagnostic markers for CNS neuroblastoma with FOXR2-activation
title_short Molecular analysis of pediatric CNS-PNET revealed nosologic heterogeneity and potent diagnostic markers for CNS neuroblastoma with FOXR2-activation
title_sort molecular analysis of pediatric cns-pnet revealed nosologic heterogeneity and potent diagnostic markers for cns neuroblastoma with foxr2-activation
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7860633/
https://www.ncbi.nlm.nih.gov/pubmed/33536079
http://dx.doi.org/10.1186/s40478-021-01118-5
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