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CMScaller: an R Package for Consensus Molecular Subtyping of Colorectal Cancer Pre-clinical Models

Overview
Journal Sci Rep
Specialty Science
Date 2017 Dec 2
PMID 29192179
Citations 180
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Abstract

Colorectal cancers (CRCs) can be divided into four gene expression-based biologically distinct consensus molecular subtypes (CMS). This classification provides a potential framework for stratified treatment, but to identify novel CMS-drug associations, translation of the subtypes to pre-clinical models is essential. The currently available classifier is dependent on gene expression signals from the immune and stromal compartments of tumors and fails to identify the poor-prognostic CMS4-mesenchymal group in immortalized cell lines, patient-derived organoids and xenografts. To address this, we present a novel CMS classifier based on a filtered set of cancer cell-intrinsic, subtype-enriched gene expression markers. This new classifier, referred to as CMScaller, recapitulated the subtypes in both in vitro and in vivo models (551 in total). Importantly, by analyzing public drug response data from patient-derived xenografts and cell lines, we show that the subtypes are predictive of response to standard CRC drugs. CMScaller is available as an R package.

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References
1.
Ferlay J, Soerjomataram I, Dikshit R, Eser S, Mathers C, Rebelo M . Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012. Int J Cancer. 2014; 136(5):E359-86. DOI: 10.1002/ijc.29210. View

2.
Fujii M, Shimokawa M, Date S, Takano A, Matano M, Nanki K . A Colorectal Tumor Organoid Library Demonstrates Progressive Loss of Niche Factor Requirements during Tumorigenesis. Cell Stem Cell. 2016; 18(6):827-838. DOI: 10.1016/j.stem.2016.04.003. View

3.
Sandberg R, Larsson O . Improved precision and accuracy for microarrays using updated probe set definitions. BMC Bioinformatics. 2007; 8:48. PMC: 1805763. DOI: 10.1186/1471-2105-8-48. View

4.
Subramanian A, Tamayo P, Mootha V, Mukherjee S, Ebert B, Gillette M . Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc Natl Acad Sci U S A. 2005; 102(43):15545-50. PMC: 1239896. DOI: 10.1073/pnas.0506580102. View

5.
Kolesnikov N, Hastings E, Keays M, Melnichuk O, Tang Y, Williams E . ArrayExpress update--simplifying data submissions. Nucleic Acids Res. 2014; 43(Database issue):D1113-6. PMC: 4383899. DOI: 10.1093/nar/gku1057. View