Evidence map›Paper›PMID 41457220›Full record

ReviewCancer cell international2025

Mechanisms and therapeutic strategies for immunotherapy resistance in gastric cancer.

Zhichao Zhang, Chao Wu, Xin Hu, Lan Zhang, Xianzhe Dong

Abstract readReview
In one paragraph

Review in Cancer cell international, 2025. 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

5 authors.

Zhichao Zhang *Department of Pharmacy, Xuanwu Hospital of Capital Medical University, 45 Changchun Road, Beijing, 100053, Xicheng, China.
Chao Wu *Department of Pharmacy, Xuanwu Hospital of Capital Medical University, 45 Changchun Road, Beijing, 100053, Xicheng, China.
Xin HuDepartment of Clinical Pharmacy, Zunyi Medical University, Zunyi, 563006, Guizhou Province, China.
Lan ZhangDepartment of Pharmacy, Xuanwu Hospital of Capital Medical University, 45 Changchun Road, Beijing, 100053, Xicheng, China. zhanglan@xwhosp.org.
Xianzhe DongDepartment of Pharmacy, Xuanwu Hospital of Capital Medical University, 45 Changchun Road, Beijing, 100053, Xicheng, China. dongxianzhe@163.com.

Funding

Beijing Hospitals Authority Youth Programme Code: QML20230811National Natural Science Foundation of China No.82271765, 81773778, 82574908Talent Project established by Chinese Pharmaceutical Association Hospital Pharmacy department No.CPA-Z05-ZC-2023-003Xuanwu Hospital Talent Convergence Program No.HZ2025PYYX009Youth Programme of Xuanwu Hospital of Capital Medical University No. QNPY202418
6 · The paper itself

Abstract

Gastric cancer (GC) is one of the most common and deadly types of cancer worldwide. In China, it is the most frequently occurring digestive tract tumour. Compared to traditional chemotherapeutic regimens centred on platinum and fluorouracil, immunotherapy has become one of the most important treatments for gastric cancer. Immune checkpoint inhibitors (ICIs) have the potential to benefit patients in the long term, but their development is limited by a high rate of resistance. To improve the efficacy of ICIs, it is important to understand the resistance mechanism in GC patients. In this paper, we review the resistance mechanisms of ICI in gastric cancer patients from four aspects: tumour immunity, immunosuppressed TME, tumour cells, and microbial populations.Additionally, we discuss new strategies and ideas to address ICI resistance in gastric cancer patients.

Indexed as

Gastric cancerICI resistanceImmune checkpoint inhibitorsTumour microenvironment

Identifiers

PMID41457220
PMCPMC12860155

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.