Colorectal Cancer Consensus Molecular Subtypes Translated to Preclinical Models Uncover Potentially Targetable Cancer Cell Dependencies
- Clin Cancer Res. 2018 Feb 15;24(4):794-806. doi: 10.1158/1078-0432.CCR-17-1234.
- 1. Department of Molecular Oncology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.
- 2. K.G.Jebsen Colorectal Cancer Research Centre, Oslo University Hospital, Oslo, Norway.
- 3. Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.
- 4. Vall d'Hebron University Hospital and Institute of Oncology (VHIO), Universitat Autònoma de Barcelona, CIBERONC, Barcelona, Spain.
- 5. SAGE Bionetworks, Fred Hutchinson Cancer Research Center, Seattle, Washington.
- 6. Department of Gastrointestinal Surgery, Oslo University Hospital, Oslo, Norway.
- 7. Institute for Clinical Medicine, University of Oslo, Oslo, Norway.
- 8. Department of Molecular Oncology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway. [email protected].
Purpose: Response to standard oncologic treatment is limited in colorectal Cancer. The gene expression-based consensus molecular subtypes (CMS) provide a new paradigm for stratified treatment and drug repurposing; however, drug discovery is currently limited by the lack of translation of CMS to preclinical models.Experimental Design: We analyzed CMS in primary colorectal cancers, cell lines, and patient-derived xenografts (PDX). For classification of preclinical models, we developed an optimized classifier enriched for Cancer cell-intrinsic gene expression signals, and performed high-throughput in vitro drug screening (n = 459 drugs) to analyze subtype-specific drug sensitivities.Results: The distinct molecular and clinicopathologic characteristics of each CMS group were validated in a single-hospital series of 409 primary colorectal cancers. The new, Cancer cell-adapted classifier was found to perform well in primary tumors, and applied to a panel of 148 cell lines and 32 PDXs, these colorectal Cancer models were shown to recapitulate the biology of the CMS groups. Drug screening of 33 cell lines demonstrated subtype-dependent response profiles, confirming strong response to EGFR and HER2 inhibitors in the CMS2 epithelial/canonical group, and revealing strong sensitivity to HSP90 inhibitors in cells with the CMS1 microsatellite instability/immune and CMS4 mesenchymal phenotypes. This association was validated in vitro in additional CMS-predicted cell lines. Combination treatment with 5-fluorouracil and luminespib showed potential to alleviate chemoresistance in a CMS4 PDX model, an effect not seen in a chemosensitive CMS2 PDX model.Conclusions: We provide translation of CMS classification to preclinical models and uncover a potential for targeted treatment repurposing in the chemoresistant CMS4 group. Clin Cancer Res; 24(4); 794-806. ©2017 AACR.