Evidence map›Paper›PMID 42848149›Full record

ReviewInvestigational new drugs2026

Comparative efficacy of CLDN18.2-directed regimens in advanced gastric/gastroesophageal junction adenocarcinoma: a meta-analysis of single-arm trials.

Yue Yuan, Hongkai Yan, Qinhang Wu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Investigational new drugs, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Yue YuanSchool of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
Hongkai YanSchool of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
Qinhang WuSchool of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023, China. wuqinhang@njucm.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo compare the efficacy and safety of different Claudin (CLDN)18.2-directed regimens in advanced gastric/gastroesophageal junction adenocarcinoma.

methodsPubMed, Web of Science, CNKI, and Wanfang databases were searched up to June 2026. Single-arm trials evaluating CLDN18.2-targeted gastric/gastroesophageal junction adenocarcinoma therapies were included. Meta-analysis was performed to pool objective response rate (ORR), disease control rate (DCR), median progression-free survival (mPFS), and safety outcomes.

resultsTen studies (710 patients) were included. The pooled mPFS was 4.19 months (95% CI 2.90-5.49), the pooled ORR was 30.3% (95% CI 14.8%-48.1%), and the pooled DCR was 78.5% (95% CI 61.2%-92.1%). Subgroup analyses by treatment type revealed substantial efficacy differences. Zolbetuximab monotherapy showed limited activity (mPFS 1.84 months, ORR 4.8%, DCR 37.9%), which improved markedly when combined with chemotherapy (mPFS 6.61 months, ORR 63.7%, DCR 95.6%). Antibody-drug conjugates (ADCs) achieved notable efficacy in pretreated patients (mPFS 5.31 months, ORR 36.7%, DCR 84.3%). Chimeric antigen receptor T-cell (CAR-T) therapy demonstrated substantial anti-tumor activity (mPFS 5.80 months, ORR 54.2%, DCR 96.1%), but the evidence was based on a single study and should be considered preliminary.

conclusionZolbetuximab plus chemotherapy is the preferred strategy for patients eligible for chemotherapy. ADCs represent a viable option for patients with chemotherapy resistance or intolerance. Zolbetuximab monotherapy has limited efficacy and should be used sparingly. CAR-T showed promising activity but remains investigational.

Indexed as

CLDN18.2Digestive system neoplasmsMeta-analysisTargeted therapy

Identifiers

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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.