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Optimizing biomarkers for accurate ependymoma diagnosis, prognostication, and stratification within International Clinical Trials: A BIOMECA study
BACKGROUND: Accurate identification of brain tumor 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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10547510/ https://www.ncbi.nlm.nih.gov/pubmed/36916248 http://dx.doi.org/10.1093/neuonc/noad055 |
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author | Chapman, Rebecca J Ghasemi, David R Andreiuolo, Felipe Zschernack, Valentina Espariat, Arnault Tauziede Buttarelli, Francesca R Giangaspero, Felice Grill, Jacques Haberler, Christine Paine, Simon M L Scott, Ian Jacques, Thomas S Sill, Martin Pfister, Stefan Kilday, John-Paul Leblond, Pierre Massimino, Maura Witt, Hendrik 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 R Giangaspero, Felice Grill, Jacques Haberler, Christine Paine, Simon M L Scott, Ian Jacques, Thomas S Sill, Martin Pfister, Stefan Kilday, John-Paul Leblond, Pierre Massimino, Maura Witt, Hendrik Modena, Piergiorgio Varlet, Pascale Pietsch, Torsten Grundy, Richard G Pajtler, Kristian W Ritzmann, Timothy A |
author_sort | Chapman, Rebecca J |
collection | PubMed |
description | BACKGROUND: Accurate identification of brain tumor 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. METHODS: Across 6 European BIOMECA laboratories, we evaluated epigenetic profiling (DNA methylation array); immunohistochemistry (IHC) for nuclear p65-RELA, H3K27me3, and Tenascin-C; copy number analysis via fluorescent in situ hybridization (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. RESULTS: 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 3 centers). IHC for p65-RELA, FISH, and RNA-based analyses effectively identified ZFTA- and YAP—fused supratentorial ependymomas. Detection of 1q gain using FISH exhibited only 57% inter-center concordance and low sensitivity and specificity while MIP, MLPA, and DNA methylation-based approaches demonstrated greater accuracy. CONCLUSIONS: We confirm, in a prospective trial cohort, that H3K27me3 immunohistochemistry 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 while FISH is inadequate. Fusion detection was successful, but rare novel fusions need more extensive technologies. Finally, we propose test sets to guide future diagnostic approaches. |
format | Online Article Text |
id | pubmed-10547510 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-105475102023-10-04 Optimizing 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 R Giangaspero, Felice Grill, Jacques Haberler, Christine Paine, Simon M L Scott, Ian Jacques, Thomas S Sill, Martin Pfister, Stefan Kilday, John-Paul Leblond, Pierre Massimino, Maura Witt, Hendrik Modena, Piergiorgio Varlet, Pascale Pietsch, Torsten Grundy, Richard G Pajtler, Kristian W Ritzmann, Timothy A Neuro Oncol Pediatric Neuro-Oncology BACKGROUND: Accurate identification of brain tumor 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. METHODS: Across 6 European BIOMECA laboratories, we evaluated epigenetic profiling (DNA methylation array); immunohistochemistry (IHC) for nuclear p65-RELA, H3K27me3, and Tenascin-C; copy number analysis via fluorescent in situ hybridization (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. RESULTS: 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 3 centers). IHC for p65-RELA, FISH, and RNA-based analyses effectively identified ZFTA- and YAP—fused supratentorial ependymomas. Detection of 1q gain using FISH exhibited only 57% inter-center concordance and low sensitivity and specificity while MIP, MLPA, and DNA methylation-based approaches demonstrated greater accuracy. CONCLUSIONS: We confirm, in a prospective trial cohort, that H3K27me3 immunohistochemistry 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 while FISH is inadequate. Fusion detection was successful, but rare novel fusions need more extensive technologies. Finally, we propose test sets to guide future diagnostic approaches. Oxford University Press 2023-03-14 /pmc/articles/PMC10547510/ /pubmed/36916248 http://dx.doi.org/10.1093/neuonc/noad055 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 | Pediatric Neuro-Oncology Chapman, Rebecca J Ghasemi, David R Andreiuolo, Felipe Zschernack, Valentina Espariat, Arnault Tauziede Buttarelli, Francesca R Giangaspero, Felice Grill, Jacques Haberler, Christine Paine, Simon M L Scott, Ian Jacques, Thomas S Sill, Martin Pfister, Stefan Kilday, John-Paul Leblond, Pierre Massimino, Maura Witt, Hendrik Modena, Piergiorgio Varlet, Pascale Pietsch, Torsten Grundy, Richard G Pajtler, Kristian W Ritzmann, Timothy A Optimizing biomarkers for accurate ependymoma diagnosis, prognostication, and stratification within International Clinical Trials: A BIOMECA study |
title | Optimizing biomarkers for accurate ependymoma diagnosis, prognostication, and stratification within International Clinical Trials: A BIOMECA study |
title_full | Optimizing biomarkers for accurate ependymoma diagnosis, prognostication, and stratification within International Clinical Trials: A BIOMECA study |
title_fullStr | Optimizing biomarkers for accurate ependymoma diagnosis, prognostication, and stratification within International Clinical Trials: A BIOMECA study |
title_full_unstemmed | Optimizing biomarkers for accurate ependymoma diagnosis, prognostication, and stratification within International Clinical Trials: A BIOMECA study |
title_short | Optimizing biomarkers for accurate ependymoma diagnosis, prognostication, and stratification within International Clinical Trials: A BIOMECA study |
title_sort | optimizing biomarkers for accurate ependymoma diagnosis, prognostication, and stratification within international clinical trials: a biomeca study |
topic | Pediatric Neuro-Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10547510/ https://www.ncbi.nlm.nih.gov/pubmed/36916248 http://dx.doi.org/10.1093/neuonc/noad055 |
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