ArticleNPJ precision oncology2024
Large-scale analysis of CDH1 mutations defines a distinctive molecular subset with treatment implications in gastric cancer.
Article in NPJ precision oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed.
- Site-Specific Genomic Markers Associated with Outcomes of PD-1 Blockade in Gastric and Esophagogastric Junction Cancer: Analysis of Japan's C-CAT Registry.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2026Article
- Divergent clonal evolution and tumor microenvironment remodeling shape gastric cancer peritoneal metastasis.Communications biology · 2026Article
- Epigenetic Regulation of Higher-Order Chromatin Structure (HOCS) and Its Implication in Human Diseases.Cancers · 2026Review
- Exploring the molecular mechanism of Coptis-cinnamon in combating gastric cancer via the MAPK Pathway based on network pharmacology.Frontiers in oncology · 2026Article
- Gastrointestinal cancer: molecular pathogenesis and targeted therapy.Molecular biomedicine · 2025Review
- Gastric Signet Ring Cell Carcinoma: Tumor Microenvironment Reprogramming and Novel Therapeutic Targets With Emphasis on GRIN2D.Clinical and translational science · 2025Review
- Actionable Genes and Carcinogenic Pathways for Gastric Cancer in Latinos.Cancer medicine · 2025Article
- The Role of TP53, KRAS, CDH1, Demographic and Clinical Variables in Gastric Cancer.Materia socio-medica · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors.
Funding
Abstract
Although histological and molecular classifications have been extensively studied for gastric cancer (GC), targeted therapies for GC remain limited. CDH1 mutations (MT) are characteristic of genomically stable GC and are associated with poor prognosis, but lack effective or targeted therapies. Here, we showed the overall mutation frequency of CDH1 was 9.7% (155 of 1596). CDH1-MT GC showed significantly lower rates of PD-L1 positivity (CPS score ≥1) than CDH1-wildtype (WT) GC (56.7% vs. 73.3%, p < 0.05). Compared to CDH1-WT GC, mutations of ARID1A, WRN, POT1, CDK12, and FANCC were significantly higher, while TP53 and APC were significantly lower in CDH1-MT GC (p < 0.05); The rates of KRAS and HER2 amplifications were significantly lower, while CRKL and IGF1R amplifications were significantly higher in CDH1-MT GC, compared to CDH1-WT GC (p < 0.05). Frequently altered genes in CDH1-MT GC were especially enriched in DNA damage repair and cell cycle checkpoint pathways. Inhibition of E-cadherin sensitized GC cell lines to PARP and Wee1 inhibitors by disrupting DNA damage repair pathway and cell cycle checkpoint. This is the largest study to investigate the distinct genomic landscape of CDH1-MT GC. Our data indicated GC patients with CDH1 mutations could potentially benefit from agents targeting PARP and Wee1.
Identifiers
What OpenQuestion holds
Registered trials
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.