Evidence map›Paper›PMID 29412457›Full record

ArticleThe Journal of pathology2018

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

Matthew Alderdice, Susan D Richman, Simon Gollins, James P Stewart, Chris Hurt, Richard Adams, Amy Mb McCorry, Aideen C Roddy, Dale Vimalachandran, Claudio Isella and 5 more

2 registry-linked trialsAbstract read
In one paragraph

Article in The Journal of pathology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT00828672 phase2completednot on this map

A Randomized Phase II Study of Bevacizumab, Capecitabine and Radiation Therapy With or Without Oxaliplatin in the Preoperative Treatment of Locally Advanced Rectal Cancer

TypeinterventionalSponsorUniversitaire Ziekenhuizen KU LeuvenRan2009 to 2019Enrolled84ConditionsLocally Advanced Rectal CancerArmsOxaliplatin, Bevacizumab, Capecitabine, radiotherapy
NCT01263171 phase2completednot on this map

A Stratified Phase II Study of Neoadjuvant Chemotherapy Given Before SCPRT as Treatment for Patients With MRI-Staged Operable Rectal Cancer at High Risk of Metastatic Relapse

TypeinterventionalSponsorCardiff UniversityRan2012 to 2015Enrolled60ConditionsColorectal CancerArmsLeucovorin, fluorouracil, leucovorin calcium, oxaliplatin, adjuvant therapy
3 · Its place in the literature

Who cites it

41 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Radiation-induced changes in gene expression in rectal cancer specimens.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
    Review
  7. Article
  8. Article
  9. Noninvasive Stratification of Colon Cancer by Multiplex PET Imaging.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Cancer Cells Enter an Adaptive Persistence to Survive Radiotherapy and Repopulate Tumor.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Matthew AlderdiceCentre for Cancer Research and Cell Biology, Queens's University Belfast, Belfast, UK.ORCID 0000-0002-6440-0260
Susan D RichmanDepartment of Pathology and Tumour Biology, Leeds Institute of Cancer and Pathology, St James Hospital, Leeds, UK.
Simon GollinsNorth Wales Cancer Treatment Centre, Rhyl, UK.
James P StewartCentre for Cancer Research and Cell Biology, Queens's University Belfast, Belfast, UK.
Chris HurtCentre for Trials Research, Cardiff University, Cardiff, UK.
Richard AdamsCentre for Trials Research, Cardiff University, Cardiff, UK.
Amy Mb McCorryCentre for Cancer Research and Cell Biology, Queens's University Belfast, Belfast, UK.
Aideen C RoddyCentre for Cancer Research and Cell Biology, Queens's University Belfast, Belfast, UK.
Dale VimalachandranCountess of Chester Hospital, Chester, UK.
Claudio IsellaUniversity of Torino, Department of Oncology, Candiolo, Torino, Italy.
Enzo MedicoUniversity of Torino, Department of Oncology, Candiolo, Torino, Italy.
Tim MaughanCRUK/MRC Oxford Institute for Radiation Oncology, University of Oxford, Oxford, UK.
Darragh G McArtCentre for Cancer Research and Cell Biology, Queens's University Belfast, Belfast, UK.
Mark LawlerCentre for Cancer Research and Cell Biology, Queens's University Belfast, Belfast, UK.
Philip D DunneCentre for Cancer Research and Cell Biology, Queens's University Belfast, Belfast, UK.ORCID 0000-0001-9160-283X

Funding

Cancer Research UK 15954Medical Research Council MR/M016587/1
6 · The paper itself

Abstract

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. © 2018 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of Pathological Society of Great Britain and Ireland.

Indexed as

BiopsyBiomarkers, TumorColonic NeoplasmsColorectal NeoplasmsGene Expression ProfilingGene Expression Regulation, NeoplasticHumansNeoplasm StagingProspective StudiesBiomarkers, Tumorbiopsycolorectal cancerconsensus molecular subtypesgene expression profilingintrinsic subtypesmolecular stratificationtranscriptional signatures

Identifiers

PMID29412457
PMCPMC5947827

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.