Evidence map›Paper›PMID 32324860›Full record

ArticleJournal of the National Cancer Institute2021

Computational Image Analysis of T-Cell Infiltrates in Resectable Gastric Cancer: Association with Survival and Molecular Subtypes.

Benjamin R Challoner, Katharina von Loga, Andrew Woolston, Beatrice Griffiths, Nanna Sivamanoharan, Maria Semiannikova, Alice Newey, Louise J Barber, David Mansfield, Lindsay C Hewitt and 6 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 15% of its field
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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Spatial organization of B lymphocytes and prognosis prediction in patients with gastric cancer.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2025
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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

16 authors at 5 institutions in 3 countries.

Benjamin R ChallonerTranslational Oncogenomics Laboratory, Division of Molecular Pathology, The Institute of Cancer Research, London, UK.
Katharina von LogaTranslational Oncogenomics Laboratory, Division of Molecular Pathology, The Institute of Cancer Research, London, UK.
Andrew WoolstonTranslational Oncogenomics Laboratory, Division of Molecular Pathology, The Institute of Cancer Research, London, UK.
Beatrice GriffithsTranslational Oncogenomics Laboratory, Division of Molecular Pathology, The Institute of Cancer Research, London, UK.
Nanna SivamanoharanTranslational Oncogenomics Laboratory, Division of Molecular Pathology, The Institute of Cancer Research, London, UK.
Maria SemiannikovaTranslational Oncogenomics Laboratory, Division of Molecular Pathology, The Institute of Cancer Research, London, UK.
Alice NeweyTranslational Oncogenomics Laboratory, Division of Molecular Pathology, The Institute of Cancer Research, London, UK.
Louise J BarberTranslational Oncogenomics Laboratory, Division of Molecular Pathology, The Institute of Cancer Research, London, UK.
David MansfieldTargeted Therapy Team, Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK.
Lindsay C HewittDepartment of Pathology, Maastricht University Medical Center, Limburg, The Netherlands.
Yuichi SaitoDepartment of Surgery, Teikyo University School of Medicine, Tokyo, Japan.
Naser DavarzaniDepartment of Pathology, Maastricht University Medical Center, Limburg, The Netherlands.
Naureen StarlingGastrointestinal Cancer Unit, The Royal Marsden Hospital NHS Foundation Trust, London, UK.
Alan MelcherTranslational Immunotherapy Team, Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK.
Heike I GrabschDepartment of Pathology, Maastricht University Medical Center, Limburg, The Netherlands.
Marco GerlingerTranslational Oncogenomics Laboratory, Division of Molecular Pathology, The Institute of Cancer Research, London, UK.
Institute of Cancer Research · GBRoyal Marsden NHS Foundation Trust · GBMaastricht University · NLTeikyo University · JPUniversity of Leeds · GB

Funding

Cancer Research UK
6 · The paper itself

Abstract

backgroundGastric and gastro-esophageal junction cancers (GCs) frequently recur after resection, but markers to predict recurrence risk are missing. T-cell infiltrates have been validated as prognostic markers in other cancer types, but not in GC because of methodological limitations of past studies. We aimed to define and validate the prognostic role of major T-cell subtypes in GC by objective computational quantification.

methodsSurgically resected chemotherapy-naïve GCs were split into discovery (n = 327) and validation (n = 147) cohorts. CD8 (cytotoxic), CD45RO (memory), and FOXP3 (regulatory) T-cell densities were measured through multicolor immunofluorescence and computational image analysis. Cancer-specific survival (CSS) was assessed. All statistical tests were two-sided.

resultsCD45RO-cell and FOXP3-cell densities statistically significantly predicted CSS in both cohorts. Stage, CD45RO-cell, and FOXP3-cell densities were independent predictors of CSS in multivariable analysis; mismatch repair (MMR) and Epstein-Barr virus (EBV) status were not statistically significant. Combining CD45RO-cell and FOXP3-cell densities into the Stomach Cancer Immune Score showed highly statistically significant (all P ≤ .002) CSS differences (0.9 years median CSS to not reached). T-cell infiltrates were highest in EBV-positive GCs and similar in MMR-deficient and MMR-proficient GCs.

conclusionThe validation of CD45RO-cell and FOXP3-cell densities as prognostic markers in GC may guide personalized follow-up or (neo)adjuvant treatment strategies. Only those 20% of GCs with the highest T-cell infiltrates showed particularly good CSS, suggesting that a small subgroup of GCs is highly immunogenic. The potential for T-cell densities to predict immunotherapy responses should be assessed. The association of high FOXP3-cell densities with longer CSS warrants studies into the biology of regulatory T cells in GC.

Indexed as

AdultAgedAged, 80 and overCD8 AntigensCell LineageDisease-Free SurvivalDNA Mismatch RepairFemaleForkhead Transcription FactorsHerpesvirus 4, HumanHumansLeukocyte Common AntigensLymphocytes, Tumor-InfiltratingMaleMiddle AgedNeoplasm Recurrence, LocalCD8 AntigensForkhead Transcription FactorsFOXP3 protein, humanLeukocyte Common Antigens

Identifiers

PMID32324860
PMCPMC7781469
OpenAlexW3014586446

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.