Evidence map›Paper›PMID 37029200›Full record

Trial reportBritish journal of cancer2023

Tumour infiltrating lymphocytes and survival after adjuvant chemotherapy in patients with gastric cancer: post-hoc analysis of the CLASSIC trial.

Drolaiz H W Liu, Young-Woo Kim, Nina Sefcovicova, Jon P Laye, Lindsay C Hewitt, Andrew F Irvine, Vincent Vromen, Yannick Janssen, Naser Davarzani, Gregorio E Fazzi and 8 more

Open access · greenAbstract readClinical Trial
In one paragraph

Trial report in British journal of cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 7% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. The density of tumour infiltrating lymphocytes in oesophago-gastric cancer varies with disease stage, geographical region and treatment: a post hoc analysis of nine phase III clinical trials.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2026
    Article
  3. Review
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  8. 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
    Article
  9. Review
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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

18 authors at 6 institutions in 3 countries.

Drolaiz H W Liu *Department of Pathology, GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands.
Young-Woo Kim *Department of Cancer Policy and Population Health, National Cancer Center Graduate School of Cancer Science and Policy and Center for Gastric Cancer and Department of Surgery, National Cancer Center, Goyang, Republic of Korea.
Nina SefcovicovaDepartment of Pathology, GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands.
Jon P LayePathology and Data Analytics, Leeds Institute of Medical Research at St. James's, University of Leeds, Leeds, UK.
Lindsay C HewittDepartment of Pathology, GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands.
Andrew F IrvinePathology and Data Analytics, Leeds Institute of Medical Research at St. James's, University of Leeds, Leeds, UK.
Vincent VromenDepartment of Pathology, GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands.
Yannick JanssenDepartment of Pathology, GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands.
Naser DavarzaniDepartment of Pathology, GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands.
Gregorio E FazziDepartment of Pathology, GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands.
Shahab JolaniDepartment of Methodology and Statistics, CAPHRI, Maastricht University, Maastricht, Netherlands.
Veerle MelotteDepartment of Pathology, GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands.ORCID http://orcid.org/0000-0002-9459-123X
Derek R MageeSchool of Computing, University of Leeds, Leeds, UK.
Myeong-Cherl KookCenter for Gastric Cancer, Department of Pathology, National Cancer Center, Goyang, Republic of Korea.
Hyunki KimDepartment of Pathology, Yonsei University College of Medicine, Seoul, Republic of Korea.
Rupert LangerInstitute of Clinical Pathology and Molecular Pathology, Kepler University Hospital and Johannes Kepler University, Linz, Austria.ORCID http://orcid.org/0000-0001-9491-3609
Jae-Ho CheongDepartment of Surgery, Yonsei University College of Medicine, Seoul, Republic of Korea. jhcheong@yuhs.ac.
Heike I GrabschDepartment of Pathology, GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands. h.grabsch@maastrichtuniversity.nl.ORCID http://orcid.org/0000-0001-9520-6228
Maastricht University · NLUniversity of Leeds · GBNational Cancer Center · KRYonsei University · KRErasmus MC · NLMaastricht University Medical Centre · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOnly a subset of gastric cancer (GC) patients with stage II-III benefits from chemotherapy after surgery. Tumour infiltrating lymphocytes per area (TIL density) has been suggested as a potential predictive biomarker of chemotherapy benefit.

methodsWe quantified TIL density in digital images of haematoxylin-eosin (HE) stained tissue using deep learning in 307 GC patients of the Yonsei Cancer Center (YCC) (193 surgery+adjuvant chemotherapy [S + C], 114 surgery alone [S]) and 629 CLASSIC trial GC patients (325 S + C and 304 S). The relationship between TIL density, disease-free survival (DFS) and clinicopathological variables was analysed.

resultsYCC S patients and CLASSIC S patients with high TIL density had longer DFS than S patients with low TIL density (P = 0.007 and P = 0.013, respectively). Furthermore, CLASSIC patients with low TIL density had longer DFS if treated with S + C compared to S (P = 0.003). No significant relationship of TIL density with other clinicopathological variables was found.

conclusionThis is the first study to suggest TIL density automatically quantified in routine HE stained tissue sections as a novel, clinically useful biomarker to identify stage II-III GC patients deriving benefit from adjuvant chemotherapy. Validation of our results in a prospective study is warranted.

Indexed as

Lymphocytes, Tumor-InfiltratingStomach NeoplasmsBiomarkersChemotherapy, AdjuvantHumansPrognosisBiomarkers

Identifiers

PMID37029200
PMCPMC10241786
OpenAlexW4362704194

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.