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Context matters—consensus molecular subtypes of colorectal cancer as biomarkers for clinical trials
The Colorectal Cancer Subtyping Consortium identified four gene expression consensus molecular subtypes, CMS1 (immune), CMS2 (canonical), CMS3 (metabolic), and CMS4 (mesenchymal), using multiple microarray or RNA-sequencing datasets of primary tumor samples mainly from early stage colon cancer patie...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6503627/ https://www.ncbi.nlm.nih.gov/pubmed/30796810 http://dx.doi.org/10.1093/annonc/mdz052 |
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author | Fontana, E Eason, K Cervantes, A Salazar, R Sadanandam, A |
author_facet | Fontana, E Eason, K Cervantes, A Salazar, R Sadanandam, A |
author_sort | Fontana, E |
collection | PubMed |
description | The Colorectal Cancer Subtyping Consortium identified four gene expression consensus molecular subtypes, CMS1 (immune), CMS2 (canonical), CMS3 (metabolic), and CMS4 (mesenchymal), using multiple microarray or RNA-sequencing datasets of primary tumor samples mainly from early stage colon cancer patients. Consequently, rectal tumors and stage IV tumors (possibly reflective of more aggressive disease) were underrepresented, and no chemo- and/or radiotherapy pretreated samples or metastatic lesions were included. In view of their possible effect on gene expression and consequently subtype classification, sample source and treatments received by the patients before collection must be carefully considered when applying the classifier to new datasets. Recently, several correlative analyses of clinical trials demonstrated the applicability of this classification to the metastatic setting, confirmed the prognostic value of CMS subtypes after relapse and hinted at differential sensitivity to treatments. Here, we discuss why contexts and equivocal factors need to be taken into account when analyzing clinical trial data, including potential selection biases, type of platform, and type of algorithm used for subtype prediction. This perspective article facilitates both our clinical and research understanding of the application of this classifier to expedite subtype-based clinical trials. |
format | Online Article Text |
id | pubmed-6503627 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-65036272019-05-09 Context matters—consensus molecular subtypes of colorectal cancer as biomarkers for clinical trials Fontana, E Eason, K Cervantes, A Salazar, R Sadanandam, A Ann Oncol Reviews The Colorectal Cancer Subtyping Consortium identified four gene expression consensus molecular subtypes, CMS1 (immune), CMS2 (canonical), CMS3 (metabolic), and CMS4 (mesenchymal), using multiple microarray or RNA-sequencing datasets of primary tumor samples mainly from early stage colon cancer patients. Consequently, rectal tumors and stage IV tumors (possibly reflective of more aggressive disease) were underrepresented, and no chemo- and/or radiotherapy pretreated samples or metastatic lesions were included. In view of their possible effect on gene expression and consequently subtype classification, sample source and treatments received by the patients before collection must be carefully considered when applying the classifier to new datasets. Recently, several correlative analyses of clinical trials demonstrated the applicability of this classification to the metastatic setting, confirmed the prognostic value of CMS subtypes after relapse and hinted at differential sensitivity to treatments. Here, we discuss why contexts and equivocal factors need to be taken into account when analyzing clinical trial data, including potential selection biases, type of platform, and type of algorithm used for subtype prediction. This perspective article facilitates both our clinical and research understanding of the application of this classifier to expedite subtype-based clinical trials. Oxford University Press 2019-04 2019-02-23 /pmc/articles/PMC6503627/ /pubmed/30796810 http://dx.doi.org/10.1093/annonc/mdz052 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of the European Society for Medical Oncology. http://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 (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Reviews Fontana, E Eason, K Cervantes, A Salazar, R Sadanandam, A Context matters—consensus molecular subtypes of colorectal cancer as biomarkers for clinical trials |
title | Context matters—consensus molecular subtypes of colorectal cancer as biomarkers for clinical trials |
title_full | Context matters—consensus molecular subtypes of colorectal cancer as biomarkers for clinical trials |
title_fullStr | Context matters—consensus molecular subtypes of colorectal cancer as biomarkers for clinical trials |
title_full_unstemmed | Context matters—consensus molecular subtypes of colorectal cancer as biomarkers for clinical trials |
title_short | Context matters—consensus molecular subtypes of colorectal cancer as biomarkers for clinical trials |
title_sort | context matters—consensus molecular subtypes of colorectal cancer as biomarkers for clinical trials |
topic | Reviews |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6503627/ https://www.ncbi.nlm.nih.gov/pubmed/30796810 http://dx.doi.org/10.1093/annonc/mdz052 |
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