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Rapid, reliable, and reproducible molecular sub-grouping of clinical medulloblastoma samples
The diagnosis of medulloblastoma likely encompasses several distinct entities, with recent evidence for the existence of at least four unique molecular subgroups that exhibit distinct genetic, transcriptional, demographic, and clinical features. Assignment of molecular subgroup through routine profi...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer-Verlag
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3306784/ https://www.ncbi.nlm.nih.gov/pubmed/22057785 http://dx.doi.org/10.1007/s00401-011-0899-7 |
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author | Northcott, Paul A. Shih, David J. H. Remke, Marc Cho, Yoon-Jae Kool, Marcel Hawkins, Cynthia Eberhart, Charles G. Dubuc, Adrian Guettouche, Toumy Cardentey, Yoslayma Bouffet, Eric Pomeroy, Scott L. Marra, Marco Malkin, David Rutka, James T. Korshunov, Andrey Pfister, Stefan Taylor, Michael D. |
author_facet | Northcott, Paul A. Shih, David J. H. Remke, Marc Cho, Yoon-Jae Kool, Marcel Hawkins, Cynthia Eberhart, Charles G. Dubuc, Adrian Guettouche, Toumy Cardentey, Yoslayma Bouffet, Eric Pomeroy, Scott L. Marra, Marco Malkin, David Rutka, James T. Korshunov, Andrey Pfister, Stefan Taylor, Michael D. |
author_sort | Northcott, Paul A. |
collection | PubMed |
description | The diagnosis of medulloblastoma likely encompasses several distinct entities, with recent evidence for the existence of at least four unique molecular subgroups that exhibit distinct genetic, transcriptional, demographic, and clinical features. Assignment of molecular subgroup through routine profiling of high-quality RNA on expression microarrays is likely impractical in the clinical setting. The planning and execution of medulloblastoma clinical trials that stratify by subgroup, or which are targeted to a specific subgroup requires technologies that can be economically, rapidly, reliably, and reproducibly applied to formalin-fixed paraffin embedded (FFPE) specimens. In the current study, we have developed an assay that accurately measures the expression level of 22 medulloblastoma subgroup-specific signature genes (CodeSet) using nanoString nCounter Technology. Comparison of the nanoString assay with Affymetrix expression array data on a training series of 101 medulloblastomas of known subgroup demonstrated a high concordance (Pearson correlation r = 0.86). The assay was validated on a second set of 130 non-overlapping medulloblastomas of known subgroup, correctly assigning 98% (127/130) of tumors to the appropriate subgroup. Reproducibility was demonstrated by repeating the assay in three independent laboratories in Canada, the United States, and Switzerland. Finally, the nanoString assay could confidently predict subgroup in 88% of recent FFPE cases, of which 100% had accurate subgroup assignment. We present an assay based on nanoString technology that is capable of rapidly, reliably, and reproducibly assigning clinical FFPE medulloblastoma samples to their molecular subgroup, and which is highly suited for future medulloblastoma clinical trials. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00401-011-0899-7) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-3306784 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Springer-Verlag |
record_format | MEDLINE/PubMed |
spelling | pubmed-33067842012-03-22 Rapid, reliable, and reproducible molecular sub-grouping of clinical medulloblastoma samples Northcott, Paul A. Shih, David J. H. Remke, Marc Cho, Yoon-Jae Kool, Marcel Hawkins, Cynthia Eberhart, Charles G. Dubuc, Adrian Guettouche, Toumy Cardentey, Yoslayma Bouffet, Eric Pomeroy, Scott L. Marra, Marco Malkin, David Rutka, James T. Korshunov, Andrey Pfister, Stefan Taylor, Michael D. Acta Neuropathol Methods Paper The diagnosis of medulloblastoma likely encompasses several distinct entities, with recent evidence for the existence of at least four unique molecular subgroups that exhibit distinct genetic, transcriptional, demographic, and clinical features. Assignment of molecular subgroup through routine profiling of high-quality RNA on expression microarrays is likely impractical in the clinical setting. The planning and execution of medulloblastoma clinical trials that stratify by subgroup, or which are targeted to a specific subgroup requires technologies that can be economically, rapidly, reliably, and reproducibly applied to formalin-fixed paraffin embedded (FFPE) specimens. In the current study, we have developed an assay that accurately measures the expression level of 22 medulloblastoma subgroup-specific signature genes (CodeSet) using nanoString nCounter Technology. Comparison of the nanoString assay with Affymetrix expression array data on a training series of 101 medulloblastomas of known subgroup demonstrated a high concordance (Pearson correlation r = 0.86). The assay was validated on a second set of 130 non-overlapping medulloblastomas of known subgroup, correctly assigning 98% (127/130) of tumors to the appropriate subgroup. Reproducibility was demonstrated by repeating the assay in three independent laboratories in Canada, the United States, and Switzerland. Finally, the nanoString assay could confidently predict subgroup in 88% of recent FFPE cases, of which 100% had accurate subgroup assignment. We present an assay based on nanoString technology that is capable of rapidly, reliably, and reproducibly assigning clinical FFPE medulloblastoma samples to their molecular subgroup, and which is highly suited for future medulloblastoma clinical trials. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00401-011-0899-7) contains supplementary material, which is available to authorized users. Springer-Verlag 2011-11-06 2012 /pmc/articles/PMC3306784/ /pubmed/22057785 http://dx.doi.org/10.1007/s00401-011-0899-7 Text en © The Author(s) 2011 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited. |
spellingShingle | Methods Paper Northcott, Paul A. Shih, David J. H. Remke, Marc Cho, Yoon-Jae Kool, Marcel Hawkins, Cynthia Eberhart, Charles G. Dubuc, Adrian Guettouche, Toumy Cardentey, Yoslayma Bouffet, Eric Pomeroy, Scott L. Marra, Marco Malkin, David Rutka, James T. Korshunov, Andrey Pfister, Stefan Taylor, Michael D. Rapid, reliable, and reproducible molecular sub-grouping of clinical medulloblastoma samples |
title | Rapid, reliable, and reproducible molecular sub-grouping of clinical medulloblastoma samples |
title_full | Rapid, reliable, and reproducible molecular sub-grouping of clinical medulloblastoma samples |
title_fullStr | Rapid, reliable, and reproducible molecular sub-grouping of clinical medulloblastoma samples |
title_full_unstemmed | Rapid, reliable, and reproducible molecular sub-grouping of clinical medulloblastoma samples |
title_short | Rapid, reliable, and reproducible molecular sub-grouping of clinical medulloblastoma samples |
title_sort | rapid, reliable, and reproducible molecular sub-grouping of clinical medulloblastoma samples |
topic | Methods Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3306784/ https://www.ncbi.nlm.nih.gov/pubmed/22057785 http://dx.doi.org/10.1007/s00401-011-0899-7 |
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