Evidence map›Paper›PMID 42680889›Full record

ReviewBritish journal of cancer2026

Why early pathology input matters in biologically rich cancer trials.

Manas Dave, Maggie Chon U Cheang, Guy Betts, Tomoko Iwata, Michelle Frost, Chiara Braconi, Menna Shamma, Timothy J Kendall

Abstract readReview
PubMed Publisher
In one paragraph

Review in British journal of cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

8 authors.

Manas DaveThe University of Manchester, Manchester, UK.
Maggie Chon U CheangInstitute of Cancer Research, Division of Clinical Studies, ICR-CTSU (Clinical Trials and Statistics Unit at ICR), London, UK.ORCID http://orcid.org/0000-0001-5718-2501
Guy BettsManchester University NHS Foundation Trust, Manchester, UK.
Tomoko IwataSchool of Medicine, Dentistry and Nursing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK.ORCID http://orcid.org/0000-0002-9634-9738
Michelle FrostInstitute of Cancer Research, Division of Clinical Studies, ICR-CTSU (Clinical Trials and Statistics Unit at ICR), London, UK.
Chiara BraconiSchool of Cancer Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK.ORCID http://orcid.org/0000-0003-4835-1259
Menna ShammaDepartment of Cancer and Genomic Sciences, College of Medicine and Health, University of Birmingham, Birmingham, UK.
Timothy J KendallEdinburgh Pathology and Centre for Inflammation Research, Institute for Regeneration and Repair, University of Edinburgh, Edinburgh, UK. Tim.Kendall@ed.ac.uk.ORCID http://orcid.org/0000-0002-4174-2786

Funding

Cancer Research UK (CRUK) CTRQQR-2021\100006
6 · The paper itself

Abstract

Pathology is central to many biologically driven cancer clinical trials. Biomarker-led and translational studies depend on robust tissue pathways, cellular and molecular assays, pathology-derived endpoints, and clinically meaningful interpretation of discovery science. Where trials depend on tumour material, biomarker-defined eligibility or mechanism-focused endpoints, pathology expertise should be embedded early, before protocols, budgets, and assays are fixed. Early pathology input strengthens feasibility, specimen governance, assay selection, quality assurance, and the long-term value of collected samples. In the UK, the Clinical Trials Pathology Advisory Group, now within the new Pathological Society of Great Britain and Ireland Clinical Trials Pathology subcommittee, provides a practical route for pre-submission specialist review. This Perspective argues that pathology is core infrastructure for biologically rich trials, linking discovery science to clinical translation.

Identifiers

PMID42680889

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.