Evidence map›Paper›PMID 39349771›Full record

ArticleNPJ precision oncology2024

Large-scale analysis of CDH1 mutations defines a distinctive molecular subset with treatment implications in gastric cancer.

Jingyuan Wang, Joanne Xiu, Francesca Battaglin, Hiroyuki Arai, Shivani Soni, Wu Zhang, Richard M Goldberg, Philip A Philip, Andreas Seeber, Jimmy J Hwang and 8 more

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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  3. Review
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  5. 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.

Jingyuan WangDepartment of Medical Oncology, Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China.ORCID http://orcid.org/0009-0006-6931-0359
Joanne XiuCaris Life Sciences, Phoenix, AZ, USA.
Francesca BattaglinDivision of Medical Oncology, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Hiroyuki AraiDivision of Medical Oncology, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Shivani SoniDivision of Medical Oncology, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Wu ZhangDivision of Medical Oncology, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Richard M GoldbergWest Virginia University Cancer Institute, Morgantown, WV, USA.
Philip A PhilipDepartment of Oncology, Karmanos Cancer Institute, Wayne State University, Detroit, MI, USA.
Andreas SeeberDepartment of Hematology and Oncology, Comprehensive Cancer Center Innsbruck, Medical University of Innsbruck, Innsbruck, Austria.ORCID http://orcid.org/0000-0001-8529-7824
Jimmy J HwangLevine Cancer Institute, Carolinas HealthCare System, Charlotte, NC, USA.
Anthony F ShieldsDepartment of Oncology, Karmanos Cancer Institute, Wayne State University, Detroit, MI, USA.
John L MarshallRuesch Center for The Cure of Gastrointestinal Cancers, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, USA.
Igor AstaturovFox Chase Cancer Center, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0002-8613-1890
Tianshu LiuDepartment of Medical Oncology, Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China.
A Craig LockhartUniversity of Miami/Sylvester Comprehensive Cancer Center, Miami, FL, USA.
W Michael KornCaris Life Sciences, Phoenix, AZ, USA.ORCID http://orcid.org/0000-0002-0124-6841
Lin ShenDepartment of Medical Oncology, Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China.
Heinz-Josef LenzDivision of Medical Oncology, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA. Lenz@usc.edu.ORCID http://orcid.org/0000-0003-2178-9568

Funding

USC/NORRIS COMPREHENSIVE CANCER CENTER (CORE) SUPPORTP30CA014089 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MYLES G COCKBURN · 1985 to 2026
$181.4M
National Natural Science Foundation of China (National Science Foundation of China) 82202892NCI NIH HHS P30 CA014089U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) P30CA014089
6 · The paper itself

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

PMID39349771
PMCPMC11442451

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Registered trials

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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.