Evidence map›Paper›PMID 42765331›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Targeting the YAP-BST2 Axis Overcomes Intrinsic Anti-PD-1 Resistance in Metastatic Gastric Cancer.

Weihong Zhang, Shilong Wang, Meng Wang, Ruixian Yu, Jingwu Yue, Lin Shao, Hui Zhang, Mengwen Zhu, Luyang Tian, Shuting Cheng and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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

18 authors.

Weihong Zhang *State Key Laboratory of Genetics and Development of Complex Phenotypes, School of Life Sciences, Zhongshan Hospital, Fudan University, Shanghai, China.
Shilong Wang *State Key Laboratory of Genetics and Development of Complex Phenotypes, School of Life Sciences, Zhongshan Hospital, Fudan University, Shanghai, China.
Meng WangSchool of Medicine, Shanghai Tenth People's Hospital, Tongji University Cancer Center, Tongji University, Shanghai, China.ORCID https://orcid.org/0000-0002-5488-1726
Ruixian YuState Key Laboratory of Genetics and Development of Complex Phenotypes, School of Life Sciences, Zhongshan Hospital, Fudan University, Shanghai, China.
Jingwu YueState Key Laboratory of Genetics and Development of Complex Phenotypes, School of Life Sciences, Zhongshan Hospital, Fudan University, Shanghai, China.
Lin ShaoState Key Laboratory of Genetics and Development of Complex Phenotypes, School of Life Sciences, Zhongshan Hospital, Fudan University, Shanghai, China.
Hui ZhangState Key Laboratory of Genetics and Development of Complex Phenotypes, School of Life Sciences, Zhongshan Hospital, Fudan University, Shanghai, China.
Mengwen ZhuState Key Laboratory of Genetics and Development of Complex Phenotypes, School of Life Sciences, Zhongshan Hospital, Fudan University, Shanghai, China.
Luyang TianState Key Laboratory of Genetics and Development of Complex Phenotypes, School of Life Sciences, Zhongshan Hospital, Fudan University, Shanghai, China.
Shuting ChengState Key Laboratory of Genetics and Development of Complex Phenotypes, School of Life Sciences, Zhongshan Hospital, Fudan University, Shanghai, China.
Weimin QinState Key Laboratory of Genetics and Development of Complex Phenotypes, School of Life Sciences, Zhongshan Hospital, Fudan University, Shanghai, China.
Yang TangSchool of Medicine, Shanghai Tenth People's Hospital, Tongji University Cancer Center, Tongji University, Shanghai, China.ORCID https://orcid.org/0000-0001-5490-3385
Yi HanSchool of Medicine, Shanghai Tenth People's Hospital, Tongji University Cancer Center, Tongji University, Shanghai, China.
Wenjia WangState Key Laboratory of Genetics and Development of Complex Phenotypes, School of Life Sciences, Zhongshan Hospital, Fudan University, Shanghai, China.
Liwei AnSchool of Medicine, Shanghai Tenth People's Hospital, Tongji University Cancer Center, Tongji University, Shanghai, China.ORCID https://orcid.org/0000-0003-4514-5476
Yan MengSchool of Medicine, Shanghai Tenth People's Hospital, Tongji University Cancer Center, Tongji University, Shanghai, China.
Shi JiaoState Key Laboratory of Genetics and Development of Complex Phenotypes, School of Life Sciences, Zhongshan Hospital, Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0003-3591-8973
Zhaocai ZhouState Key Laboratory of Genetics and Development of Complex Phenotypes, School of Life Sciences, Zhongshan Hospital, Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0002-5441-3922

Funding

Innovative Drug Research and Development National Science and Technology Major Project 2025ZD1800300National Natural Science Foundation of China 32270747National Natural Science Foundation of China 82003014National Natural Science Foundation of China 82361168638National Natural Science Foundation of China 82372613National Natural Science Foundation of China 82373251National Natural Science Foundation of China 82573553National Natural Science Foundation of China U25A20113
6 · The paper itself

Abstract

Intrinsic resistance to anti-PD-1 immunotherapy remains a major obstacle in treating metastatic gastric cancer (GC), particularly in tumors harboring concurrent YAP hyperactivation and TP53 loss. Here, using a genetically engineered mouse model with conditional YAP hyperactivation and Tp53 deletion in gastric Atp4b

Indexed as

gastric cancergenetic engineered mouse modelimmune evasionimmunotherapy resistancemetastatic GCYAP‐BST2

Identifiers

PMID42765331
PMCPMC13591348

What OpenQuestion holds

Textmetadata
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.