Evidence map›Paper›PMID 41646954›Full record

ArticleESMO gastrointestinal oncology2024

PD-L1 as a response biomarker to chemotherapy plus immune checkpoint inhibitors in operable gastroesophageal adenocarcinoma: a meta-analysis of neoadjuvant clinical trials.

A Cammarota, S K Kamarajah, S Markar, E C Smyth

Abstract read
In one paragraph

Article in ESMO gastrointestinal oncology, 2024. 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

4 authors.

A CammarotaDepartment of Biomedical Sciences, Humanitas University, Rozzano (Milan), Italy.
S K KamarajahNIHR Global Health Research Unit on Global Surgery, Department of Applied Health Sciences, School of Health Sciences, University of Birmingham, Birmingham, UK.
S MarkarUniversity of Oxford, Oxford, UK.
E C SmythOxford NIHR Biomedical Research Centre, Churchill Hospital, Oxford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Perioperative chemoimmunotherapy [i.e. chemotherapy plus immune checkpoint inhibitor (ICI) (ChT-ICI)] is an investigational treatment for operable gastroesophageal adenocarcinoma (GEA) with unclear outcomes in an unselected population. We aimed to assess the cumulative treatment effect of ChT-ICI on pathological response rates, the surrogacy of pathological response rates on overall survival (OS), and the value of programmed death-ligand 1 (PD-L1) as a biomarker of response to ICIs in operable GEA. Methods: We conducted a systematic review and meta-analysis of randomised clinical trials (RCTs) of ChT with or without ICIs with the primary outcome being pathological response rates [pathological complete response (pCR) and similar metrics]. A weighted linear regression model quantified the relationship between pathological response rates and OS using a determination coefficient ( Results: A total of 18 records from 15 RCTs were included. Of 6624 patients, 5291 received ChT and 1333 ChT-ICI. ChT-ICI significantly improved pathological response rates [pooled odds ratio 3.18, 95% confidence interval (CI) 2.42-4.18, Conclusions: Perioperative ChT-ICI improves pathological response rates in operable GEA and PD-L1 ≥5 is a significant biomarker of pCR, supporting stratification by PD-L1 and the design of biomarker-selected trials.

Indexed as

gastroesophageal adenocarcinomaimmunotherapyneoadjuvant treatmentpathological complete responsePD-L1response biomarkers

Identifiers

PMID41646954
PMCPMC12836520

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.