Evidence map›Paper›PMID 41517852›Full record

ReviewJournal of gastric cancer2026

CLDN18.2 in Gastric Cancer: Current Therapeutic Landscape and Future Perspectives.

Fei Zhang, Ukyo Okazaki, Izuma Nakayama, Kohei Shitara

Abstract readReview
In one paragraph

Review in Journal of gastric cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

4 authors.

Fei Zhang *Department of Oncology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Ukyo Okazaki *Department of Gastroenterology and Gastrointestinal Oncology, National Cancer Center Hospital East, Kashiwa, Japan.ORCID 0009-0003-4097-6120
Izuma NakayamaDepartment of Gastroenterology and Gastrointestinal Oncology, National Cancer Center Hospital East, Kashiwa, Japan. iznakaya@east.ncc.go.jp.ORCID 0000-0003-4987-1934
Kohei ShitaraDepartment of Gastroenterology and Gastrointestinal Oncology, National Cancer Center Hospital East, Kashiwa, Japan.ORCID 0000-0001-5196-3630

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Claudin 18.2 (CLDN18.2), a tight junction protein selectively expressed in normal gastric epithelium and widely retained during carcinogenesis, has emerged as a promising therapeutic target for advanced gastric cancer (AGC). SPOTLIGHT and GLOW trials evaluated the anti-CLDN18.2 monoclonal antibody (mAb) zolbetuximab in combination with first-line chemotherapy, and established CLDN18.2 as a therapeutic target, initiating a paradigm shift toward a biomarker-driven treatment approach in AGC. In addition, from zolbetuximab to a diverse pipeline of promising high-affinity mAbs, bispecific antibodies, antibody-drug conjugates and chimeric antigen receptor T cells, this target has established a new and highly effective therapeutic avenue for CLDN18.2-expressing AGC. Therefore, as research progresses, CLDN18.2-targeted therapy is poised to become a cornerstone of treatment across multiple disease stages and cancer types. This review describes the biological role of CLDN18.2 in normal gastric epithelium and gastric carcinogenesis and summarizes the current therapeutic landscape and future perspectives targeting CLDN18.2 in AGC.

Indexed as

ClaudinsStomach NeoplasmsAntibodies, MonoclonalBiomarkers, TumorHumansMolecular Targeted TherapyAntibodies, MonoclonalBiomarkers, TumorClaudinsCLDN18 protein, humanzolbetuximabBiomarkerClaudinsGastric cancerTargeted therapy

Identifiers

PMID41517852
PMCPMC12802060

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.