4.7 Article

Prospective patient stratification into robust cancer-cell intrinsic subtypes from colorectal cancer biopsies

Journal

JOURNAL OF PATHOLOGY
Volume 245, Issue 1, Pages 19-28

Publisher

WILEY
DOI: 10.1002/path.5051

Keywords

colorectal cancer; gene expression profiling; molecular stratification; biopsy; transcriptional signatures; intrinsic subtypes; consensus molecular subtypes

Funding

  1. Entwistle Family Travel Award
  2. Sean Crummey Memorial Fund
  3. Betsi Cadwaladr University Health Board's Charitable Funds Committee
  4. CRUK non-clinical training fellowship
  5. Yorkshire Cancer Research
  6. CRUK-MRC Stratified Medicine Programme Grant (S:CORT)
  7. Belfast Experimental Cancer Medicine Centre
  8. MRC
  9. CRUK
  10. Cancer Research UK [15954] Funding Source: researchfish
  11. Medical Research Council [HDR-6003, MR/M016587/1] Funding Source: researchfish
  12. Public Health Agency [SPI/3315/06] Funding Source: researchfish
  13. MRC [MR/M016587/1] Funding Source: UKRI

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Colorectal cancer (CRC) biopsies underpin accurate diagnosis, but are also relevant for patient stratification in molecularly-guided clinical trials. The consensus molecular subtypes (CMSs) and colorectal cancer intrinsic subtypes (CRISs) transcriptional signatures have potential clinical utility for improving prognostic/predictive patient assignment. However, their ability to provide robust classification, particularly in pretreatment biopsies from multiple regions or at different time points, remains untested. In this study, we undertook a comprehensive assessment of the robustness of CRC transcriptional signatures, including CRIS and CMS, using a range of tumour sampling methodologies currently employed in clinical and translational research. These include analyses using (i) laser-capture microdissected CRC tissue, (ii) eight publically available rectal cancer biopsy data sets (n=543), (iii) serial biopsies (from AXEBeam trial, NCT00828672; n=10), (iv) multi-regional biopsies from colon tumours (n=29 biopsies, n=7 tumours), and (v) pretreatment biopsies from the phase II rectal cancer trial COPERNCIUS (NCT01263171; n=44). Compared to previous results obtained using CRC resection material, we demonstrate that CMS classification in biopsy tissue is significantly less capable of reliably classifying patient subtype (43% unknown in biopsy versus 13% unknown in resections, p=0.0001). In contrast, there was no significant difference in classification rate between biopsies and resections when using the CRIS classifier. Additionally, we demonstrated that CRIS provides significantly better spatially- and temporally- robust classification of molecular subtypes in CRC primary tumour tissue compared to CMS (p=0.003 and p=0.02, respectively). These findings have potential to inform ongoing biopsy-based patient stratification in CRC, enabling robust and stable assignment of patients into clinically-informative arms of prospective multi-arm, multi-stage clinical trials. (c) 2018 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of Pathological Society of Great Britain and Ireland.

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