Evidence map›Paper›PMID 41008883›Full record

ArticleCancers2025

Tumour-Infiltrating Lymphocytes, Tumour Cell Density, and Response to Neoadjuvant Short-Course Radiotherapy in Rectal Cancer: A Translational Sub-Study from the MRC CR07 Clinical Trial.

Jonathan P Callaghan, Ross Jarrett, Alice C Westwood, Jon Laye, Philip Quirke, Derek R Magee, Daniel Bottomley, David Sebag-Montefiore, Lindsay Thompson, Angela Meade and 2 more

Abstract read
In one paragraph

Article in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

12 authors.

Jonathan P CallaghanDivision of Pathology and Data Analytics, Leeds Institute of Medical Research, University of Leeds, Leeds LS9 7TF, UK.ORCID 0000-0001-7506-906X
Ross JarrettDivision of Pathology and Data Analytics, Leeds Institute of Medical Research, University of Leeds, Leeds LS9 7TF, UK.ORCID 0000-0002-4867-0981
Alice C WestwoodDivision of Pathology and Data Analytics, Leeds Institute of Medical Research, University of Leeds, Leeds LS9 7TF, UK.ORCID 0000-0002-8697-9621
Jon LayeDivision of Pathology and Data Analytics, Leeds Institute of Medical Research, University of Leeds, Leeds LS9 7TF, UK.
Philip QuirkeDivision of Pathology and Data Analytics, Leeds Institute of Medical Research, University of Leeds, Leeds LS9 7TF, UK.ORCID 0000-0002-3597-5444
Derek R MageeSchool of Computing, University of Leeds, Leeds LS2 9JT, UK.ORCID 0000-0003-2170-3103
Daniel BottomleyDivision of Pathology and Data Analytics, Leeds Institute of Medical Research, University of Leeds, Leeds LS9 7TF, UK.
David Sebag-MontefioreDivision of Oncology, Leeds Institute of Medical Research, University of Leeds, Leeds LS9 7TF, UK.
Lindsay ThompsonMRC Clinical Trials Unit, University College London, London WC1V 6LJ, UK.ORCID 0000-0003-2651-4512
Angela MeadeMRC Clinical Trials Unit, University College London, London WC1V 6LJ, UK.
Heike I GrabschDivision of Pathology and Data Analytics, Leeds Institute of Medical Research, University of Leeds, Leeds LS9 7TF, UK.
Nicholas P WestDivision of Pathology and Data Analytics, Leeds Institute of Medical Research, University of Leeds, Leeds LS9 7TF, UK.ORCID 0000-0002-0346-6709

Funding

Cancer Research UK RRCOER-Jun24/100004National Institute for Health Research NIHR203331
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

neoadjuvant radiotherapyrectal cancertumour cell densitytumour infiltrating lymphocyte density

Identifiers

PMID41008883
PMCPMC12468021

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.