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EPEN-02. OPTIMISING BIOMARKERS FOR ACCURATE EPENDYMOMA DIAGNOSIS, PROGNOSTICATION AND STRATIFICATION WITHIN INTERNATIONAL CLINICAL TRIALS: A BIOMECA STUDY

Accurate identification of brain tumour molecular subgroups is increasingly important. We aimed to establish the most accurate and reproducible ependymoma subgroup biomarker detection techniques, across 147 cases from International Society of Pediatric Oncology (SIOP) Ependymoma II trial participant...

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Autores principales: Chapman, Rebecca J, Ghasemi, David R, Andreiuolo, Felipe, Zschernack, Valentina, Espariat, Arnault Tauziede, Buttarelli, Francesca, Giangaspero, Felice, Grill, Jacques, Haberler, Christine, Paine, Simon M L, Scott, Ian, Jacques, Thomas S, Sill, Martin, Stephan, Pfister, Kilday, John Paul, LeBlond, Pierre, Massimino, Maura, Modena, Piergiorgio, Varlet, Pascale, Pietsch, Torsten, Grundy, Richard G, Pajtler, Kristian W, Ritzmann, Timothy A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10259930/
http://dx.doi.org/10.1093/neuonc/noad073.106
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author Chapman, Rebecca J
Ghasemi, David R
Andreiuolo, Felipe
Zschernack, Valentina
Espariat, Arnault Tauziede
Buttarelli, Francesca
Giangaspero, Felice
Grill, Jacques
Haberler, Christine
Paine, Simon M L
Scott, Ian
Jacques, Thomas S
Sill, Martin
Stephan, Pfister
Kilday, John Paul
LeBlond, Pierre
Massimino, Maura
Modena, Piergiorgio
Varlet, Pascale
Pietsch, Torsten
Grundy, Richard G
Pajtler, Kristian W
Ritzmann, Timothy A
author_facet Chapman, Rebecca J
Ghasemi, David R
Andreiuolo, Felipe
Zschernack, Valentina
Espariat, Arnault Tauziede
Buttarelli, Francesca
Giangaspero, Felice
Grill, Jacques
Haberler, Christine
Paine, Simon M L
Scott, Ian
Jacques, Thomas S
Sill, Martin
Stephan, Pfister
Kilday, John Paul
LeBlond, Pierre
Massimino, Maura
Modena, Piergiorgio
Varlet, Pascale
Pietsch, Torsten
Grundy, Richard G
Pajtler, Kristian W
Ritzmann, Timothy A
author_sort Chapman, Rebecca J
collection PubMed
description Accurate identification of brain tumour molecular subgroups is increasingly important. We aimed to establish the most accurate and reproducible ependymoma subgroup biomarker detection techniques, across 147 cases from International Society of Pediatric Oncology (SIOP) Ependymoma II trial participants, enrolled in the pan-European “Biomarkers of Ependymoma in Children and Adolescents (BIOMECA)” study. Across six European BIOMECA laboratories we evaluated epigenetic profiling (DNA methylation array); immunohistochemistry (IHC) for nuclear p65-RELA, H3K27me3, and Tenascin-C; copy number analysis via FISH and MLPA (1q, CDKN2A), and MIP and DNA methylation array (genome-wide copy number evaluation); analysis of ZFTA- and YAP1-fusions by RT-PCR and sequencing, Nanostring and break-apart FISH. DNA Methylation profiling classified 65.3% (n=96/147) of cases as EPN-PFA and 15% (n=22/147) as ST-ZFTA fusion-positive. Immunohistochemical loss of H3K27me3 was a reproducible and accurate surrogate marker for EPN-PFA (sensitivity 99-100% across three centres). IHC for p65-RELA, FISH, and RNA-based analyses effectively identified ZFTA- and YAP1- fused supratentorial ependymomas. Detection of 1q gain using FISH exhibited only 57% inter-centre concordance and low sensitivity and specificity whilst MIP, MLPA and DNA methylation-based approaches demonstrated greater accuracy. We confirm, in a prospective trial cohort, that H3K27me3 IHC is a robust EPN-PFA biomarker. Tenascin-C should be abandoned as a PFA marker. DNA methylation and MIP arrays are effective tools for copy number analysis of 1q gain, 6q and CDKN2A loss whilst FISH is inadequate. Fusion detection was successful, but rare novel fusions need more extensive technologies. We propose CORE and CORE Plus test sets to guide future diagnostic approaches. CORE tests represent those that can currently be used to stratify and inform clinical trials and diagnosis and include IHC and DNA methylation profiling. CORE Plus tests have additional advantages for challenging cases and for use in the research setting and comprise of MIP and RNA-NGS sequencing.
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spelling pubmed-102599302023-06-13 EPEN-02. OPTIMISING BIOMARKERS FOR ACCURATE EPENDYMOMA DIAGNOSIS, PROGNOSTICATION AND STRATIFICATION WITHIN INTERNATIONAL CLINICAL TRIALS: A BIOMECA STUDY Chapman, Rebecca J Ghasemi, David R Andreiuolo, Felipe Zschernack, Valentina Espariat, Arnault Tauziede Buttarelli, Francesca Giangaspero, Felice Grill, Jacques Haberler, Christine Paine, Simon M L Scott, Ian Jacques, Thomas S Sill, Martin Stephan, Pfister Kilday, John Paul LeBlond, Pierre Massimino, Maura Modena, Piergiorgio Varlet, Pascale Pietsch, Torsten Grundy, Richard G Pajtler, Kristian W Ritzmann, Timothy A Neuro Oncol Final Category: Ependymoma - EPEN Accurate identification of brain tumour molecular subgroups is increasingly important. We aimed to establish the most accurate and reproducible ependymoma subgroup biomarker detection techniques, across 147 cases from International Society of Pediatric Oncology (SIOP) Ependymoma II trial participants, enrolled in the pan-European “Biomarkers of Ependymoma in Children and Adolescents (BIOMECA)” study. Across six European BIOMECA laboratories we evaluated epigenetic profiling (DNA methylation array); immunohistochemistry (IHC) for nuclear p65-RELA, H3K27me3, and Tenascin-C; copy number analysis via FISH and MLPA (1q, CDKN2A), and MIP and DNA methylation array (genome-wide copy number evaluation); analysis of ZFTA- and YAP1-fusions by RT-PCR and sequencing, Nanostring and break-apart FISH. DNA Methylation profiling classified 65.3% (n=96/147) of cases as EPN-PFA and 15% (n=22/147) as ST-ZFTA fusion-positive. Immunohistochemical loss of H3K27me3 was a reproducible and accurate surrogate marker for EPN-PFA (sensitivity 99-100% across three centres). IHC for p65-RELA, FISH, and RNA-based analyses effectively identified ZFTA- and YAP1- fused supratentorial ependymomas. Detection of 1q gain using FISH exhibited only 57% inter-centre concordance and low sensitivity and specificity whilst MIP, MLPA and DNA methylation-based approaches demonstrated greater accuracy. We confirm, in a prospective trial cohort, that H3K27me3 IHC is a robust EPN-PFA biomarker. Tenascin-C should be abandoned as a PFA marker. DNA methylation and MIP arrays are effective tools for copy number analysis of 1q gain, 6q and CDKN2A loss whilst FISH is inadequate. Fusion detection was successful, but rare novel fusions need more extensive technologies. We propose CORE and CORE Plus test sets to guide future diagnostic approaches. CORE tests represent those that can currently be used to stratify and inform clinical trials and diagnosis and include IHC and DNA methylation profiling. CORE Plus tests have additional advantages for challenging cases and for use in the research setting and comprise of MIP and RNA-NGS sequencing. Oxford University Press 2023-06-12 /pmc/articles/PMC10259930/ http://dx.doi.org/10.1093/neuonc/noad073.106 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the Society for Neuro-Oncology. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Final Category: Ependymoma - EPEN
Chapman, Rebecca J
Ghasemi, David R
Andreiuolo, Felipe
Zschernack, Valentina
Espariat, Arnault Tauziede
Buttarelli, Francesca
Giangaspero, Felice
Grill, Jacques
Haberler, Christine
Paine, Simon M L
Scott, Ian
Jacques, Thomas S
Sill, Martin
Stephan, Pfister
Kilday, John Paul
LeBlond, Pierre
Massimino, Maura
Modena, Piergiorgio
Varlet, Pascale
Pietsch, Torsten
Grundy, Richard G
Pajtler, Kristian W
Ritzmann, Timothy A
EPEN-02. OPTIMISING BIOMARKERS FOR ACCURATE EPENDYMOMA DIAGNOSIS, PROGNOSTICATION AND STRATIFICATION WITHIN INTERNATIONAL CLINICAL TRIALS: A BIOMECA STUDY
title EPEN-02. OPTIMISING BIOMARKERS FOR ACCURATE EPENDYMOMA DIAGNOSIS, PROGNOSTICATION AND STRATIFICATION WITHIN INTERNATIONAL CLINICAL TRIALS: A BIOMECA STUDY
title_full EPEN-02. OPTIMISING BIOMARKERS FOR ACCURATE EPENDYMOMA DIAGNOSIS, PROGNOSTICATION AND STRATIFICATION WITHIN INTERNATIONAL CLINICAL TRIALS: A BIOMECA STUDY
title_fullStr EPEN-02. OPTIMISING BIOMARKERS FOR ACCURATE EPENDYMOMA DIAGNOSIS, PROGNOSTICATION AND STRATIFICATION WITHIN INTERNATIONAL CLINICAL TRIALS: A BIOMECA STUDY
title_full_unstemmed EPEN-02. OPTIMISING BIOMARKERS FOR ACCURATE EPENDYMOMA DIAGNOSIS, PROGNOSTICATION AND STRATIFICATION WITHIN INTERNATIONAL CLINICAL TRIALS: A BIOMECA STUDY
title_short EPEN-02. OPTIMISING BIOMARKERS FOR ACCURATE EPENDYMOMA DIAGNOSIS, PROGNOSTICATION AND STRATIFICATION WITHIN INTERNATIONAL CLINICAL TRIALS: A BIOMECA STUDY
title_sort epen-02. optimising biomarkers for accurate ependymoma diagnosis, prognostication and stratification within international clinical trials: a biomeca study
topic Final Category: Ependymoma - EPEN
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10259930/
http://dx.doi.org/10.1093/neuonc/noad073.106
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