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MRI features as a helpful tool to predict the molecular subgroups of medulloblastoma: state of the art

Medulloblastoma is the most common malignant pediatric brain tumor. Medulloblastoma should not be viewed as a single disease, but as a heterogeneous mixture of various subgroups with distinct characteristics. Based on genomic profiles, four distinct molecular subgroups are identified: Wingless (WNT)...

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Autores principales: Colafati, Giovanna Stefania, Voicu, Ioan Paul, Carducci, Chiara, Miele, Evelina, Carai, Andrea, Di Loreto, Simona, Marrazzo, Antonio, Cacchione, Antonella, Cecinati, Valerio, Tornesello, Assunta, Mastronuzzi, Angela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6024494/
https://www.ncbi.nlm.nih.gov/pubmed/29977341
http://dx.doi.org/10.1177/1756286418775375
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author Colafati, Giovanna Stefania
Voicu, Ioan Paul
Carducci, Chiara
Miele, Evelina
Carai, Andrea
Di Loreto, Simona
Marrazzo, Antonio
Cacchione, Antonella
Cecinati, Valerio
Tornesello, Assunta
Mastronuzzi, Angela
author_facet Colafati, Giovanna Stefania
Voicu, Ioan Paul
Carducci, Chiara
Miele, Evelina
Carai, Andrea
Di Loreto, Simona
Marrazzo, Antonio
Cacchione, Antonella
Cecinati, Valerio
Tornesello, Assunta
Mastronuzzi, Angela
author_sort Colafati, Giovanna Stefania
collection PubMed
description Medulloblastoma is the most common malignant pediatric brain tumor. Medulloblastoma should not be viewed as a single disease, but as a heterogeneous mixture of various subgroups with distinct characteristics. Based on genomic profiles, four distinct molecular subgroups are identified: Wingless (WNT), Sonic Hedgehog (SHH), Group 3 and Group 4. Each of these subgroups are associated with specific genetic aberrations, typical age of onset as well as survival prognosis. Magnetic resonance imaging (MRI) is performed for all patients with brain tumors, and has a key role in the diagnosis, surgical guidance and follow up of patients with medulloblastoma. Several studies indicate MRI as a promising tool for early detection of medulloblastoma subgroups. The early identification of the subgroup can influence the extent of surgical resection, radiotherapy and chemotherapy targeted treatments. In this article, we review the state of the art in MRI-facilitated medulloblastoma subgrouping, with a summary of the main MRI features in medulloblastoma and a brief discussion on molecular characterization of medulloblastoma subgroups. The main focus of the article is MRI features that correlate with medulloblastoma subtypes, as well as features suggestive of molecular subgroups. Finally, we briefly discuss the latest trends in MRI studies and latest developments in molecular characterization.
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spelling pubmed-60244942018-07-05 MRI features as a helpful tool to predict the molecular subgroups of medulloblastoma: state of the art Colafati, Giovanna Stefania Voicu, Ioan Paul Carducci, Chiara Miele, Evelina Carai, Andrea Di Loreto, Simona Marrazzo, Antonio Cacchione, Antonella Cecinati, Valerio Tornesello, Assunta Mastronuzzi, Angela Ther Adv Neurol Disord Review Medulloblastoma is the most common malignant pediatric brain tumor. Medulloblastoma should not be viewed as a single disease, but as a heterogeneous mixture of various subgroups with distinct characteristics. Based on genomic profiles, four distinct molecular subgroups are identified: Wingless (WNT), Sonic Hedgehog (SHH), Group 3 and Group 4. Each of these subgroups are associated with specific genetic aberrations, typical age of onset as well as survival prognosis. Magnetic resonance imaging (MRI) is performed for all patients with brain tumors, and has a key role in the diagnosis, surgical guidance and follow up of patients with medulloblastoma. Several studies indicate MRI as a promising tool for early detection of medulloblastoma subgroups. The early identification of the subgroup can influence the extent of surgical resection, radiotherapy and chemotherapy targeted treatments. In this article, we review the state of the art in MRI-facilitated medulloblastoma subgrouping, with a summary of the main MRI features in medulloblastoma and a brief discussion on molecular characterization of medulloblastoma subgroups. The main focus of the article is MRI features that correlate with medulloblastoma subtypes, as well as features suggestive of molecular subgroups. Finally, we briefly discuss the latest trends in MRI studies and latest developments in molecular characterization. SAGE Publications 2018-06-18 /pmc/articles/PMC6024494/ /pubmed/29977341 http://dx.doi.org/10.1177/1756286418775375 Text en © The Author(s), 2018 http://www.creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Review
Colafati, Giovanna Stefania
Voicu, Ioan Paul
Carducci, Chiara
Miele, Evelina
Carai, Andrea
Di Loreto, Simona
Marrazzo, Antonio
Cacchione, Antonella
Cecinati, Valerio
Tornesello, Assunta
Mastronuzzi, Angela
MRI features as a helpful tool to predict the molecular subgroups of medulloblastoma: state of the art
title MRI features as a helpful tool to predict the molecular subgroups of medulloblastoma: state of the art
title_full MRI features as a helpful tool to predict the molecular subgroups of medulloblastoma: state of the art
title_fullStr MRI features as a helpful tool to predict the molecular subgroups of medulloblastoma: state of the art
title_full_unstemmed MRI features as a helpful tool to predict the molecular subgroups of medulloblastoma: state of the art
title_short MRI features as a helpful tool to predict the molecular subgroups of medulloblastoma: state of the art
title_sort mri features as a helpful tool to predict the molecular subgroups of medulloblastoma: state of the art
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6024494/
https://www.ncbi.nlm.nih.gov/pubmed/29977341
http://dx.doi.org/10.1177/1756286418775375
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