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Risk Stratification of Childhood Medulloblastoma Using Integrated Diagnosis: Discrepancies with Clinical Risk Stratification

BACKGROUND: Recent genomic studies identified four discrete molecular subgroups of medulloblastoma (MB), and the risk stratification of childhood MB in the context of subgroups was refined in 2015. In this study, we investigated the effect of molecular subgroups on the risk stratification of childho...

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Autores principales: Cho, Hee Won, Lee, Hyunwoo, Ju, Hee Young, Yoo, Keon Hee, Koo, Hong Hoe, Lim, Do Hoon, Sung, Ki Woong, Shin, Hyung Jin, Suh, Yeon-Lim, Lee, Ji Won
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Academy of Medical Sciences 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8860767/
https://www.ncbi.nlm.nih.gov/pubmed/35191235
http://dx.doi.org/10.3346/jkms.2022.37.e59
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author Cho, Hee Won
Lee, Hyunwoo
Ju, Hee Young
Yoo, Keon Hee
Koo, Hong Hoe
Lim, Do Hoon
Sung, Ki Woong
Shin, Hyung Jin
Suh, Yeon-Lim
Lee, Ji Won
author_facet Cho, Hee Won
Lee, Hyunwoo
Ju, Hee Young
Yoo, Keon Hee
Koo, Hong Hoe
Lim, Do Hoon
Sung, Ki Woong
Shin, Hyung Jin
Suh, Yeon-Lim
Lee, Ji Won
author_sort Cho, Hee Won
collection PubMed
description BACKGROUND: Recent genomic studies identified four discrete molecular subgroups of medulloblastoma (MB), and the risk stratification of childhood MB in the context of subgroups was refined in 2015. In this study, we investigated the effect of molecular subgroups on the risk stratification of childhood MB. METHODS: The nCounter® system and a customized cancer panel were used for molecular subgrouping and risk stratification in archived tissues. RESULTS: A total of 44 patients were included in this study. In clinical risk stratification, based on the presence of residual tumor/metastasis and histological findings, 24 and 20 patients were classified into the average-risk and high-risk groups, respectively. Molecular subgroups were successfully defined in 37 patients using limited gene expression analysis, and DNA panel sequencing additionally classified the molecular subgroups in three patients. Collectively, 40 patients were classified into molecular subgroups as follows: WNT (n = 7), SHH (n = 4), Group 3 (n = 8), and Group 4 (n = 21). Excluding the four patients whose molecular subgroups could not be determined, among the 17 average-risk group patients in clinical risk stratification, one patient in the SHH group with the TP53 variant was reclassified as very-high-risk using the new risk classification system. In addition, 5 out of 23 patients who were initially classified as high-risk group in clinical risk stratification were reclassified into the low- or standard-risk groups in the new risk classification system. CONCLUSION: The new risk stratification incorporating integrated diagnosis showed some discrepancies with clinical risk stratification. Risk stratification based on precise molecular subgrouping is needed for the tailored treatment of MB patients.
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spelling pubmed-88607672022-03-03 Risk Stratification of Childhood Medulloblastoma Using Integrated Diagnosis: Discrepancies with Clinical Risk Stratification Cho, Hee Won Lee, Hyunwoo Ju, Hee Young Yoo, Keon Hee Koo, Hong Hoe Lim, Do Hoon Sung, Ki Woong Shin, Hyung Jin Suh, Yeon-Lim Lee, Ji Won J Korean Med Sci Original Article BACKGROUND: Recent genomic studies identified four discrete molecular subgroups of medulloblastoma (MB), and the risk stratification of childhood MB in the context of subgroups was refined in 2015. In this study, we investigated the effect of molecular subgroups on the risk stratification of childhood MB. METHODS: The nCounter® system and a customized cancer panel were used for molecular subgrouping and risk stratification in archived tissues. RESULTS: A total of 44 patients were included in this study. In clinical risk stratification, based on the presence of residual tumor/metastasis and histological findings, 24 and 20 patients were classified into the average-risk and high-risk groups, respectively. Molecular subgroups were successfully defined in 37 patients using limited gene expression analysis, and DNA panel sequencing additionally classified the molecular subgroups in three patients. Collectively, 40 patients were classified into molecular subgroups as follows: WNT (n = 7), SHH (n = 4), Group 3 (n = 8), and Group 4 (n = 21). Excluding the four patients whose molecular subgroups could not be determined, among the 17 average-risk group patients in clinical risk stratification, one patient in the SHH group with the TP53 variant was reclassified as very-high-risk using the new risk classification system. In addition, 5 out of 23 patients who were initially classified as high-risk group in clinical risk stratification were reclassified into the low- or standard-risk groups in the new risk classification system. CONCLUSION: The new risk stratification incorporating integrated diagnosis showed some discrepancies with clinical risk stratification. Risk stratification based on precise molecular subgrouping is needed for the tailored treatment of MB patients. The Korean Academy of Medical Sciences 2022-02-09 /pmc/articles/PMC8860767/ /pubmed/35191235 http://dx.doi.org/10.3346/jkms.2022.37.e59 Text en © 2022 The Korean Academy of Medical Sciences. https://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 (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Cho, Hee Won
Lee, Hyunwoo
Ju, Hee Young
Yoo, Keon Hee
Koo, Hong Hoe
Lim, Do Hoon
Sung, Ki Woong
Shin, Hyung Jin
Suh, Yeon-Lim
Lee, Ji Won
Risk Stratification of Childhood Medulloblastoma Using Integrated Diagnosis: Discrepancies with Clinical Risk Stratification
title Risk Stratification of Childhood Medulloblastoma Using Integrated Diagnosis: Discrepancies with Clinical Risk Stratification
title_full Risk Stratification of Childhood Medulloblastoma Using Integrated Diagnosis: Discrepancies with Clinical Risk Stratification
title_fullStr Risk Stratification of Childhood Medulloblastoma Using Integrated Diagnosis: Discrepancies with Clinical Risk Stratification
title_full_unstemmed Risk Stratification of Childhood Medulloblastoma Using Integrated Diagnosis: Discrepancies with Clinical Risk Stratification
title_short Risk Stratification of Childhood Medulloblastoma Using Integrated Diagnosis: Discrepancies with Clinical Risk Stratification
title_sort risk stratification of childhood medulloblastoma using integrated diagnosis: discrepancies with clinical risk stratification
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8860767/
https://www.ncbi.nlm.nih.gov/pubmed/35191235
http://dx.doi.org/10.3346/jkms.2022.37.e59
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