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MBCL-01. METHYLATION PROFILING OF PEDIATRIC MEDULLOBLASTOMA IN SAUDI ARABIA IN A CLINICAL SETTING PERMITS SUB-CLASSIFICATION AND REVEALS NEW OUTCOME PREDICTIONS

Medulloblastoma (MB) is the most common childhood malignant brain tumor. DNA methylation profiling has rapidly advanced our understanding of MB pathogenesis at the molecular level, MBs can be sub-grouped according to methylation patterns from FPPE samples into Wingless (WNT-MB), Sonic Hedgehog (SHH-...

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Autores principales: Alharbi, Musa, Mobark, Nahla, Balbaid, Ali Abdullah O, Bashawri, Yara, Safieh, Leen Abu, Alowayn, Albandary, Alaljelaify, Rasha, AlSaeed, Mariam, Almutairi, Amal, Alqubaishi, Fatmah, Alsolm, Ebtehal, Ahmad, Maqsood, Al-Banyan, Ayman, Alotabi, Fahad E, Snuderl, Matija, Abedalthagafi, Malak
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7715337/
http://dx.doi.org/10.1093/neuonc/noaa222.477
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author Alharbi, Musa
Mobark, Nahla
Balbaid, Ali Abdullah O
Bashawri, Yara
Safieh, Leen Abu
Alowayn, Albandary
Alaljelaify, Rasha
AlSaeed, Mariam
Almutairi, Amal
Alqubaishi, Fatmah
Alsolm, Ebtehal
Ahmad, Maqsood
Al-Banyan, Ayman
Alotabi, Fahad E
Snuderl, Matija
Abedalthagafi, Malak
author_facet Alharbi, Musa
Mobark, Nahla
Balbaid, Ali Abdullah O
Bashawri, Yara
Safieh, Leen Abu
Alowayn, Albandary
Alaljelaify, Rasha
AlSaeed, Mariam
Almutairi, Amal
Alqubaishi, Fatmah
Alsolm, Ebtehal
Ahmad, Maqsood
Al-Banyan, Ayman
Alotabi, Fahad E
Snuderl, Matija
Abedalthagafi, Malak
author_sort Alharbi, Musa
collection PubMed
description Medulloblastoma (MB) is the most common childhood malignant brain tumor. DNA methylation profiling has rapidly advanced our understanding of MB pathogenesis at the molecular level, MBs can be sub-grouped according to methylation patterns from FPPE samples into Wingless (WNT-MB), Sonic Hedgehog (SHH-MB), Group 3 (G3) and Group 4 (G4) WNT-MB and SHH-MB subgroups are characterized by gain-of function mutations that activate oncogenic cell signalling whilst G3/G4 tumors show recurrent chromosomal alterations. each subgroup has distinct clinical outcomes, the ability to subgroup SA-FPPE samples holds significant prognostic and therapeutic value. We performed the first assessment of MB-DNA methylation patterns in Saudi Arabian SA cohort using archival biopsy materials (FPPE n=49). Of the 41 materials available for methylation assessments, 39 could be classified into the major DNA methylation subgroups (SHH, WNT, G3 and G4). Methylation analysis was able to reclassify tumors that could not be sub-grouped through NGS testing, highlighting its improved accuracy for MB molecular classifications. Independent assessments demonstrate clinical relationships of the subgroups, exemplified by the high survival rates observed for WNT tumors. Surprisingly, the G4 subgroup did not conform to previously identified phenotypes, with a high prevalence in females, high metastatic rates and a large number of tumor-associated deaths. DNA methylation profiling enables the robust sub-classification of four disease sub-groups in SA-MB patients. Moreover, the incorporation of DNA methylation biomarkers can significantly improve current disease-risk stratification schemes, particularly concerning the identification of aggressive G4 tumors. These findings have important implications for future clinical disease management in MB cases across the Arab world.
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spelling pubmed-77153372020-12-09 MBCL-01. METHYLATION PROFILING OF PEDIATRIC MEDULLOBLASTOMA IN SAUDI ARABIA IN A CLINICAL SETTING PERMITS SUB-CLASSIFICATION AND REVEALS NEW OUTCOME PREDICTIONS Alharbi, Musa Mobark, Nahla Balbaid, Ali Abdullah O Bashawri, Yara Safieh, Leen Abu Alowayn, Albandary Alaljelaify, Rasha AlSaeed, Mariam Almutairi, Amal Alqubaishi, Fatmah Alsolm, Ebtehal Ahmad, Maqsood Al-Banyan, Ayman Alotabi, Fahad E Snuderl, Matija Abedalthagafi, Malak Neuro Oncol Medulloblastoma (Clinical) Medulloblastoma (MB) is the most common childhood malignant brain tumor. DNA methylation profiling has rapidly advanced our understanding of MB pathogenesis at the molecular level, MBs can be sub-grouped according to methylation patterns from FPPE samples into Wingless (WNT-MB), Sonic Hedgehog (SHH-MB), Group 3 (G3) and Group 4 (G4) WNT-MB and SHH-MB subgroups are characterized by gain-of function mutations that activate oncogenic cell signalling whilst G3/G4 tumors show recurrent chromosomal alterations. each subgroup has distinct clinical outcomes, the ability to subgroup SA-FPPE samples holds significant prognostic and therapeutic value. We performed the first assessment of MB-DNA methylation patterns in Saudi Arabian SA cohort using archival biopsy materials (FPPE n=49). Of the 41 materials available for methylation assessments, 39 could be classified into the major DNA methylation subgroups (SHH, WNT, G3 and G4). Methylation analysis was able to reclassify tumors that could not be sub-grouped through NGS testing, highlighting its improved accuracy for MB molecular classifications. Independent assessments demonstrate clinical relationships of the subgroups, exemplified by the high survival rates observed for WNT tumors. Surprisingly, the G4 subgroup did not conform to previously identified phenotypes, with a high prevalence in females, high metastatic rates and a large number of tumor-associated deaths. DNA methylation profiling enables the robust sub-classification of four disease sub-groups in SA-MB patients. Moreover, the incorporation of DNA methylation biomarkers can significantly improve current disease-risk stratification schemes, particularly concerning the identification of aggressive G4 tumors. These findings have important implications for future clinical disease management in MB cases across the Arab world. Oxford University Press 2020-12-04 /pmc/articles/PMC7715337/ http://dx.doi.org/10.1093/neuonc/noaa222.477 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of the Society for Neuro-Oncology. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://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 Medulloblastoma (Clinical)
Alharbi, Musa
Mobark, Nahla
Balbaid, Ali Abdullah O
Bashawri, Yara
Safieh, Leen Abu
Alowayn, Albandary
Alaljelaify, Rasha
AlSaeed, Mariam
Almutairi, Amal
Alqubaishi, Fatmah
Alsolm, Ebtehal
Ahmad, Maqsood
Al-Banyan, Ayman
Alotabi, Fahad E
Snuderl, Matija
Abedalthagafi, Malak
MBCL-01. METHYLATION PROFILING OF PEDIATRIC MEDULLOBLASTOMA IN SAUDI ARABIA IN A CLINICAL SETTING PERMITS SUB-CLASSIFICATION AND REVEALS NEW OUTCOME PREDICTIONS
title MBCL-01. METHYLATION PROFILING OF PEDIATRIC MEDULLOBLASTOMA IN SAUDI ARABIA IN A CLINICAL SETTING PERMITS SUB-CLASSIFICATION AND REVEALS NEW OUTCOME PREDICTIONS
title_full MBCL-01. METHYLATION PROFILING OF PEDIATRIC MEDULLOBLASTOMA IN SAUDI ARABIA IN A CLINICAL SETTING PERMITS SUB-CLASSIFICATION AND REVEALS NEW OUTCOME PREDICTIONS
title_fullStr MBCL-01. METHYLATION PROFILING OF PEDIATRIC MEDULLOBLASTOMA IN SAUDI ARABIA IN A CLINICAL SETTING PERMITS SUB-CLASSIFICATION AND REVEALS NEW OUTCOME PREDICTIONS
title_full_unstemmed MBCL-01. METHYLATION PROFILING OF PEDIATRIC MEDULLOBLASTOMA IN SAUDI ARABIA IN A CLINICAL SETTING PERMITS SUB-CLASSIFICATION AND REVEALS NEW OUTCOME PREDICTIONS
title_short MBCL-01. METHYLATION PROFILING OF PEDIATRIC MEDULLOBLASTOMA IN SAUDI ARABIA IN A CLINICAL SETTING PERMITS SUB-CLASSIFICATION AND REVEALS NEW OUTCOME PREDICTIONS
title_sort mbcl-01. methylation profiling of pediatric medulloblastoma in saudi arabia in a clinical setting permits sub-classification and reveals new outcome predictions
topic Medulloblastoma (Clinical)
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7715337/
http://dx.doi.org/10.1093/neuonc/noaa222.477
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