Gene expression classification of colon cancer into molecular subtypes: characterization, validation, and prognostic value.

<h4>Background</h4>Colon cancer (CC) pathological staging fails to accurately predict recurrence, and to date, no gene expression signature has proven reliable for prognosis stratification in clinical practice, perhaps because CC is a heterogeneous disease. The aim of this study was to e...

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Autores principales: Laetitia Marisa, Aurélien de Reyniès, Alex Duval, Janick Selves, Marie Pierre Gaub, Laure Vescovo, Marie-Christine Etienne-Grimaldi, Renaud Schiappa, Dominique Guenot, Mira Ayadi, Sylvain Kirzin, Maurice Chazal, Jean-François Fléjou, Daniel Benchimol, Anne Berger, Arnaud Lagarde, Erwan Pencreach, Françoise Piard, Dominique Elias, Yann Parc, Sylviane Olschwang, Gérard Milano, Pierre Laurent-Puig, Valérie Boige
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Publicado: Public Library of Science (PLoS) 2013
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spelling oai:doaj.org-article:05db3f0cfd2241469580f61ac65f86202021-11-18T05:42:36ZGene expression classification of colon cancer into molecular subtypes: characterization, validation, and prognostic value.1549-12771549-167610.1371/journal.pmed.1001453https://doaj.org/article/05db3f0cfd2241469580f61ac65f86202013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23700391/pdf/?tool=EBIhttps://doaj.org/toc/1549-1277https://doaj.org/toc/1549-1676<h4>Background</h4>Colon cancer (CC) pathological staging fails to accurately predict recurrence, and to date, no gene expression signature has proven reliable for prognosis stratification in clinical practice, perhaps because CC is a heterogeneous disease. The aim of this study was to establish a comprehensive molecular classification of CC based on mRNA expression profile analyses.<h4>Methods and findings</h4>Fresh-frozen primary tumor samples from a large multicenter cohort of 750 patients with stage I to IV CC who underwent surgery between 1987 and 2007 in seven centers were characterized for common DNA alterations, including BRAF, KRAS, and TP53 mutations, CpG island methylator phenotype, mismatch repair status, and chromosomal instability status, and were screened with whole genome and transcriptome arrays. 566 samples fulfilled RNA quality requirements. Unsupervised consensus hierarchical clustering applied to gene expression data from a discovery subset of 443 CC samples identified six molecular subtypes. These subtypes were associated with distinct clinicopathological characteristics, molecular alterations, specific enrichments of supervised gene expression signatures (stem cell phenotype-like, normal-like, serrated CC phenotype-like), and deregulated signaling pathways. Based on their main biological characteristics, we distinguished a deficient mismatch repair subtype, a KRAS mutant subtype, a cancer stem cell subtype, and three chromosomal instability subtypes, including one associated with down-regulated immune pathways, one with up-regulation of the Wnt pathway, and one displaying a normal-like gene expression profile. The classification was validated in the remaining 123 samples plus an independent set of 1,058 CC samples, including eight public datasets. Furthermore, prognosis was analyzed in the subset of stage II-III CC samples. The subtypes C4 and C6, but not the subtypes C1, C2, C3, and C5, were independently associated with shorter relapse-free survival, even after adjusting for age, sex, stage, and the emerging prognostic classifier Oncotype DX Colon Cancer Assay recurrence score (hazard ratio 1.5, 95% CI 1.1-2.1, p = 0.0097). However, a limitation of this study is that information on tumor grade and number of nodes examined was not available.<h4>Conclusions</h4>We describe the first, to our knowledge, robust transcriptome-based classification of CC that improves the current disease stratification based on clinicopathological variables and common DNA markers. The biological relevance of these subtypes is illustrated by significant differences in prognosis. This analysis provides possibilities for improving prognostic models and therapeutic strategies. In conclusion, we report a new classification of CC into six molecular subtypes that arise through distinct biological pathways.Laetitia MarisaAurélien de ReynièsAlex DuvalJanick SelvesMarie Pierre GaubLaure VescovoMarie-Christine Etienne-GrimaldiRenaud SchiappaDominique GuenotMira AyadiSylvain KirzinMaurice ChazalJean-François FléjouDaniel BenchimolAnne BergerArnaud LagardeErwan PencreachFrançoise PiardDominique EliasYann ParcSylviane OlschwangGérard MilanoPierre Laurent-PuigValérie BoigePublic Library of Science (PLoS)articleMedicineRENPLoS Medicine, Vol 10, Iss 5, p e1001453 (2013)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
spellingShingle Medicine
R
Laetitia Marisa
Aurélien de Reyniès
Alex Duval
Janick Selves
Marie Pierre Gaub
Laure Vescovo
Marie-Christine Etienne-Grimaldi
Renaud Schiappa
Dominique Guenot
Mira Ayadi
Sylvain Kirzin
Maurice Chazal
Jean-François Fléjou
Daniel Benchimol
Anne Berger
Arnaud Lagarde
Erwan Pencreach
Françoise Piard
Dominique Elias
Yann Parc
Sylviane Olschwang
Gérard Milano
Pierre Laurent-Puig
Valérie Boige
Gene expression classification of colon cancer into molecular subtypes: characterization, validation, and prognostic value.
description <h4>Background</h4>Colon cancer (CC) pathological staging fails to accurately predict recurrence, and to date, no gene expression signature has proven reliable for prognosis stratification in clinical practice, perhaps because CC is a heterogeneous disease. The aim of this study was to establish a comprehensive molecular classification of CC based on mRNA expression profile analyses.<h4>Methods and findings</h4>Fresh-frozen primary tumor samples from a large multicenter cohort of 750 patients with stage I to IV CC who underwent surgery between 1987 and 2007 in seven centers were characterized for common DNA alterations, including BRAF, KRAS, and TP53 mutations, CpG island methylator phenotype, mismatch repair status, and chromosomal instability status, and were screened with whole genome and transcriptome arrays. 566 samples fulfilled RNA quality requirements. Unsupervised consensus hierarchical clustering applied to gene expression data from a discovery subset of 443 CC samples identified six molecular subtypes. These subtypes were associated with distinct clinicopathological characteristics, molecular alterations, specific enrichments of supervised gene expression signatures (stem cell phenotype-like, normal-like, serrated CC phenotype-like), and deregulated signaling pathways. Based on their main biological characteristics, we distinguished a deficient mismatch repair subtype, a KRAS mutant subtype, a cancer stem cell subtype, and three chromosomal instability subtypes, including one associated with down-regulated immune pathways, one with up-regulation of the Wnt pathway, and one displaying a normal-like gene expression profile. The classification was validated in the remaining 123 samples plus an independent set of 1,058 CC samples, including eight public datasets. Furthermore, prognosis was analyzed in the subset of stage II-III CC samples. The subtypes C4 and C6, but not the subtypes C1, C2, C3, and C5, were independently associated with shorter relapse-free survival, even after adjusting for age, sex, stage, and the emerging prognostic classifier Oncotype DX Colon Cancer Assay recurrence score (hazard ratio 1.5, 95% CI 1.1-2.1, p = 0.0097). However, a limitation of this study is that information on tumor grade and number of nodes examined was not available.<h4>Conclusions</h4>We describe the first, to our knowledge, robust transcriptome-based classification of CC that improves the current disease stratification based on clinicopathological variables and common DNA markers. The biological relevance of these subtypes is illustrated by significant differences in prognosis. This analysis provides possibilities for improving prognostic models and therapeutic strategies. In conclusion, we report a new classification of CC into six molecular subtypes that arise through distinct biological pathways.
format article
author Laetitia Marisa
Aurélien de Reyniès
Alex Duval
Janick Selves
Marie Pierre Gaub
Laure Vescovo
Marie-Christine Etienne-Grimaldi
Renaud Schiappa
Dominique Guenot
Mira Ayadi
Sylvain Kirzin
Maurice Chazal
Jean-François Fléjou
Daniel Benchimol
Anne Berger
Arnaud Lagarde
Erwan Pencreach
Françoise Piard
Dominique Elias
Yann Parc
Sylviane Olschwang
Gérard Milano
Pierre Laurent-Puig
Valérie Boige
author_facet Laetitia Marisa
Aurélien de Reyniès
Alex Duval
Janick Selves
Marie Pierre Gaub
Laure Vescovo
Marie-Christine Etienne-Grimaldi
Renaud Schiappa
Dominique Guenot
Mira Ayadi
Sylvain Kirzin
Maurice Chazal
Jean-François Fléjou
Daniel Benchimol
Anne Berger
Arnaud Lagarde
Erwan Pencreach
Françoise Piard
Dominique Elias
Yann Parc
Sylviane Olschwang
Gérard Milano
Pierre Laurent-Puig
Valérie Boige
author_sort Laetitia Marisa
title Gene expression classification of colon cancer into molecular subtypes: characterization, validation, and prognostic value.
title_short Gene expression classification of colon cancer into molecular subtypes: characterization, validation, and prognostic value.
title_full Gene expression classification of colon cancer into molecular subtypes: characterization, validation, and prognostic value.
title_fullStr Gene expression classification of colon cancer into molecular subtypes: characterization, validation, and prognostic value.
title_full_unstemmed Gene expression classification of colon cancer into molecular subtypes: characterization, validation, and prognostic value.
title_sort gene expression classification of colon cancer into molecular subtypes: characterization, validation, and prognostic value.
publisher Public Library of Science (PLoS)
publishDate 2013
url https://doaj.org/article/05db3f0cfd2241469580f61ac65f8620
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