Cargando…

Use of multivariate analysis to suggest a new molecular classification of colorectal cancer

ABSTRACT: Molecular classification of colorectal cancer (CRC) is currently based on microsatellite instability (MSI), KRAS or BRAF mutation and, occasionally, chromosomal instability (CIN). Whilst useful, these categories may not fully represent the underlying molecular subgroups. We screened 906 st...

Descripción completa

Detalles Bibliográficos
Autores principales: Domingo, Enric, Ramamoorthy, Rajarajan, Oukrif, Dahmane, Rosmarin, Daniel, Presz, Michal, Wang, Haitao, Pulker, Hannah, Lockstone, Helen, Hveem, Tarjei, Cranston, Treena, Danielsen, Havard, Novelli, Marco, Davidson, Brian, Xu, Zheng-Zhou, Molloy, Peter, Johnstone, Elaine, Holmes, Christopher, Midgley, Rachel, Kerr, David, Sieber, Oliver, Tomlinson, Ian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Ltd 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3588155/
https://www.ncbi.nlm.nih.gov/pubmed/23165447
http://dx.doi.org/10.1002/path.4139
_version_ 1782261507900309504
author Domingo, Enric
Ramamoorthy, Rajarajan
Oukrif, Dahmane
Rosmarin, Daniel
Presz, Michal
Wang, Haitao
Pulker, Hannah
Lockstone, Helen
Hveem, Tarjei
Cranston, Treena
Danielsen, Havard
Novelli, Marco
Davidson, Brian
Xu, Zheng-Zhou
Molloy, Peter
Johnstone, Elaine
Holmes, Christopher
Midgley, Rachel
Kerr, David
Sieber, Oliver
Tomlinson, Ian
author_facet Domingo, Enric
Ramamoorthy, Rajarajan
Oukrif, Dahmane
Rosmarin, Daniel
Presz, Michal
Wang, Haitao
Pulker, Hannah
Lockstone, Helen
Hveem, Tarjei
Cranston, Treena
Danielsen, Havard
Novelli, Marco
Davidson, Brian
Xu, Zheng-Zhou
Molloy, Peter
Johnstone, Elaine
Holmes, Christopher
Midgley, Rachel
Kerr, David
Sieber, Oliver
Tomlinson, Ian
author_sort Domingo, Enric
collection PubMed
description ABSTRACT: Molecular classification of colorectal cancer (CRC) is currently based on microsatellite instability (MSI), KRAS or BRAF mutation and, occasionally, chromosomal instability (CIN). Whilst useful, these categories may not fully represent the underlying molecular subgroups. We screened 906 stage II/III CRCs from the VICTOR clinical trial for somatic mutations. Multivariate analyses (logistic regression, clustering, Bayesian networks) identified the primary molecular associations. Positive associations occurred between: CIN and TP53 mutation; MSI and BRAF mutation; and KRAS and PIK3CA mutations. Negative associations occurred between: MSI and CIN; MSI and NRAS mutation; and KRAS mutation, and each of NRAS, TP53 and BRAF mutations. Some complex relationships were elucidated: KRAS and TP53 mutations had both a direct negative association and a weaker, confounding, positive association via TP53–CIN–MSI–BRAF–KRAS. Our results suggested a new molecular classification of CRCs: (1) MSI(+) and/or BRAF-mutant; (2) CIN(+) and/or TP53(–) mutant, with wild-type KRAS and PIK3CA; (3) KRAS- and/or PIK3CA-mutant, CIN(+), TP53-wild-type; (4) KRAS(–) and/or PIK3CA-mutant, CIN(–), TP53-wild-type; (5) NRAS-mutant; (6) no mutations; (7) others. As expected, group 1 cancers were mostly proximal and poorly differentiated, usually occurring in women. Unexpectedly, two different types of CIN(+) CRC were found: group 2 cancers were usually distal and occurred in men, whereas group 3 showed neither of these associations but were of higher stage. CIN(+) cancers have conventionally been associated with all three of these variables, because they have been tested en masse. Our classification also showed potentially improved prognostic capabilities, with group 3, and possibly group 1, independently predicting disease-free survival. Copyright © 2012 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.
format Online
Article
Text
id pubmed-3588155
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher John Wiley & Sons, Ltd
record_format MEDLINE/PubMed
spelling pubmed-35881552013-03-11 Use of multivariate analysis to suggest a new molecular classification of colorectal cancer Domingo, Enric Ramamoorthy, Rajarajan Oukrif, Dahmane Rosmarin, Daniel Presz, Michal Wang, Haitao Pulker, Hannah Lockstone, Helen Hveem, Tarjei Cranston, Treena Danielsen, Havard Novelli, Marco Davidson, Brian Xu, Zheng-Zhou Molloy, Peter Johnstone, Elaine Holmes, Christopher Midgley, Rachel Kerr, David Sieber, Oliver Tomlinson, Ian J Pathol Original Paper ABSTRACT: Molecular classification of colorectal cancer (CRC) is currently based on microsatellite instability (MSI), KRAS or BRAF mutation and, occasionally, chromosomal instability (CIN). Whilst useful, these categories may not fully represent the underlying molecular subgroups. We screened 906 stage II/III CRCs from the VICTOR clinical trial for somatic mutations. Multivariate analyses (logistic regression, clustering, Bayesian networks) identified the primary molecular associations. Positive associations occurred between: CIN and TP53 mutation; MSI and BRAF mutation; and KRAS and PIK3CA mutations. Negative associations occurred between: MSI and CIN; MSI and NRAS mutation; and KRAS mutation, and each of NRAS, TP53 and BRAF mutations. Some complex relationships were elucidated: KRAS and TP53 mutations had both a direct negative association and a weaker, confounding, positive association via TP53–CIN–MSI–BRAF–KRAS. Our results suggested a new molecular classification of CRCs: (1) MSI(+) and/or BRAF-mutant; (2) CIN(+) and/or TP53(–) mutant, with wild-type KRAS and PIK3CA; (3) KRAS- and/or PIK3CA-mutant, CIN(+), TP53-wild-type; (4) KRAS(–) and/or PIK3CA-mutant, CIN(–), TP53-wild-type; (5) NRAS-mutant; (6) no mutations; (7) others. As expected, group 1 cancers were mostly proximal and poorly differentiated, usually occurring in women. Unexpectedly, two different types of CIN(+) CRC were found: group 2 cancers were usually distal and occurred in men, whereas group 3 showed neither of these associations but were of higher stage. CIN(+) cancers have conventionally been associated with all three of these variables, because they have been tested en masse. Our classification also showed potentially improved prognostic capabilities, with group 3, and possibly group 1, independently predicting disease-free survival. Copyright © 2012 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd. John Wiley & Sons, Ltd 2013-02 2013-01-25 /pmc/articles/PMC3588155/ /pubmed/23165447 http://dx.doi.org/10.1002/path.4139 Text en Copyright © 2013 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd. http://creativecommons.org/licenses/by/2.5/ Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation.
spellingShingle Original Paper
Domingo, Enric
Ramamoorthy, Rajarajan
Oukrif, Dahmane
Rosmarin, Daniel
Presz, Michal
Wang, Haitao
Pulker, Hannah
Lockstone, Helen
Hveem, Tarjei
Cranston, Treena
Danielsen, Havard
Novelli, Marco
Davidson, Brian
Xu, Zheng-Zhou
Molloy, Peter
Johnstone, Elaine
Holmes, Christopher
Midgley, Rachel
Kerr, David
Sieber, Oliver
Tomlinson, Ian
Use of multivariate analysis to suggest a new molecular classification of colorectal cancer
title Use of multivariate analysis to suggest a new molecular classification of colorectal cancer
title_full Use of multivariate analysis to suggest a new molecular classification of colorectal cancer
title_fullStr Use of multivariate analysis to suggest a new molecular classification of colorectal cancer
title_full_unstemmed Use of multivariate analysis to suggest a new molecular classification of colorectal cancer
title_short Use of multivariate analysis to suggest a new molecular classification of colorectal cancer
title_sort use of multivariate analysis to suggest a new molecular classification of colorectal cancer
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3588155/
https://www.ncbi.nlm.nih.gov/pubmed/23165447
http://dx.doi.org/10.1002/path.4139
work_keys_str_mv AT domingoenric useofmultivariateanalysistosuggestanewmolecularclassificationofcolorectalcancer
AT ramamoorthyrajarajan useofmultivariateanalysistosuggestanewmolecularclassificationofcolorectalcancer
AT oukrifdahmane useofmultivariateanalysistosuggestanewmolecularclassificationofcolorectalcancer
AT rosmarindaniel useofmultivariateanalysistosuggestanewmolecularclassificationofcolorectalcancer
AT preszmichal useofmultivariateanalysistosuggestanewmolecularclassificationofcolorectalcancer
AT wanghaitao useofmultivariateanalysistosuggestanewmolecularclassificationofcolorectalcancer
AT pulkerhannah useofmultivariateanalysistosuggestanewmolecularclassificationofcolorectalcancer
AT lockstonehelen useofmultivariateanalysistosuggestanewmolecularclassificationofcolorectalcancer
AT hveemtarjei useofmultivariateanalysistosuggestanewmolecularclassificationofcolorectalcancer
AT cranstontreena useofmultivariateanalysistosuggestanewmolecularclassificationofcolorectalcancer
AT danielsenhavard useofmultivariateanalysistosuggestanewmolecularclassificationofcolorectalcancer
AT novellimarco useofmultivariateanalysistosuggestanewmolecularclassificationofcolorectalcancer
AT davidsonbrian useofmultivariateanalysistosuggestanewmolecularclassificationofcolorectalcancer
AT xuzhengzhou useofmultivariateanalysistosuggestanewmolecularclassificationofcolorectalcancer
AT molloypeter useofmultivariateanalysistosuggestanewmolecularclassificationofcolorectalcancer
AT johnstoneelaine useofmultivariateanalysistosuggestanewmolecularclassificationofcolorectalcancer
AT holmeschristopher useofmultivariateanalysistosuggestanewmolecularclassificationofcolorectalcancer
AT midgleyrachel useofmultivariateanalysistosuggestanewmolecularclassificationofcolorectalcancer
AT kerrdavid useofmultivariateanalysistosuggestanewmolecularclassificationofcolorectalcancer
AT sieberoliver useofmultivariateanalysistosuggestanewmolecularclassificationofcolorectalcancer
AT tomlinsonian useofmultivariateanalysistosuggestanewmolecularclassificationofcolorectalcancer