Evidence map›Paper›PMID 42411162›Full record

ReviewJournal of gastric cancer2026

Gastric Cancer Organoids: Mechanistic Insights, Drug Discovery, and Translational Advances in Precision Medicine.

Na Liu, Yan Zhang, Yao Liu, Xiao Dong, Yu Li, Jinrui Geng, Yonghong Li

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. 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

7 authors.

Na Liu *Gansu University of Chinese Medicine, Lanzhou, China.ORCID https://orcid.org/0009-0006-9169-8046
Yan Zhang *Gansu University of Chinese Medicine, Lanzhou, China.ORCID https://orcid.org/0009-0003-4192-7160
Yao Liu *Gansu University of Chinese Medicine, Lanzhou, China.ORCID https://orcid.org/0009-0002-7869-2898
Xiao DongGansu University of Chinese Medicine, Lanzhou, China.ORCID https://orcid.org/0009-0000-8290-860X
Yu LiGansu University of Chinese Medicine, Lanzhou, China.ORCID https://orcid.org/0009-0005-2545-6025
Jinrui GengGansu University of Chinese Medicine, Lanzhou, China.ORCID https://orcid.org/0009-0008-9683-6924
Yonghong LiGansu University of Chinese Medicine, Lanzhou, China.ORCID https://orcid.org/0000-0002-5198-3786

Funding

Central Government Guided Fund for Local Science and Technology Development 25ZYJA003Gansu Province Major Science and Technology Innovation Project in the Health Sector GSWSZD2024-01Gansu Provincial Health Industry Project GSMSQN2021-004National Natural Science Foundation of China 82160534Natural Science Foundation of Gansu Province 23JRRA1491
6 · The paper itself

Abstract

Significant advances in the treatment of localized gastric cancer have been achieved through early screening, improved diagnostic techniques, surgeries, and adjuvant chemotherapy; however, the need for personalized treatment remains under debate. This review highlights the use of gastric cancer organoid (GCO) models to study cancer mechanisms, drug discovery, and precision medicine, focusing on their ability to simulate the tumor microenvironment, reveal cell heterogeneity, and assess drug responses. In particular, the integration of CRISPR/Cas9 gene editing with GCOs provides a powerful platforms for identifying new drug targets and supporting clinical applications in precision medicine. This review also explores the potential of these organoids in future research, particularly in optimizing treatment strategies and developing personalized therapies, thus offering new directions for precision treatment of gastric cancer.

Indexed as

Antineoplastic AgentsDrug DiscoveryOrganoidsPrecision MedicineStomach NeoplasmsAnimalsHumansTranslational Research, BiomedicalTumor MicroenvironmentAntineoplastic AgentsDrug screeningGastric cancerOrganoidsPrecision medicine

Identifiers

PMID42411162
PMCPMC13342275

What OpenQuestion holds

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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.