1. Academic Validation
  2. Colorectal Cancer Consensus Molecular Subtypes Translated to Preclinical Models Uncover Potentially Targetable Cancer Cell Dependencies

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.
Anita Sveen 1 2 Jarle Bruun 1 2 3 Peter W Eide 1 2 Ina A Eilertsen 1 2 Lorena Ramirez 4 Astrid Murumägi 3 Mariliina Arjama 3 Stine A Danielsen 1 2 Kushtrim Kryeziu 1 2 Elena Elez 4 Josep Tabernero 4 Justin Guinney 5 Hector G Palmer 4 Arild Nesbakken 2 6 7 Olli Kallioniemi 3 Rodrigo Dienstmann 4 5 Ragnhild A Lothe 8 2 7
Affiliations

Affiliations

  • 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. rlothe@rr-research.no.
Abstract

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.

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