Evidence map›Paper›PMID 42373929›Full record

ReviewMolecular biomedicine2026

Organoid technology in cancer research.

Jingjing Zhang, Jian He

Abstract readReview
In one paragraph

Review in Molecular biomedicine, 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

2 authors.

Jingjing ZhangCenter for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jian HeCenter for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China. jih003@sjtu.edu.cn.ORCID http://orcid.org/0000-0002-1426-7799

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Organoid technology has emerged as a transformative tool in cancer research by recapitulating the structural complexity, genomic integrity, and phenotypic heterogeneity of human primary tumors. Over the past 15 years, this technology has transcended the limitations of traditional preclinical cancer models, evolving from a specialized developmental biology technique into a versatile platform that spans basic mechanistic research, translational drug development, and clinical personalized medicine. This review provides a comprehensive and in-depth overview of organoid systems, spanning fundamental biological principles, standardized methodologies for tumor organoid establishment, and multi-dimensional applications across the entire cancer research continuum. We highlight mechanistic insights into tumor initiation, clonal evolution, progression, and metastatic colonization revealed by organoid models, as well as translational advances in high-throughput drug discovery, functional precision oncology, immuno-oncology therapeutic development, and early cancer detection and interception. Particular emphasis is placed on therapeutic development strategies and recent prospective clinical trials validating patient-derived organoids (PDOs) as predictive functional biomarkers for treatment response, which represents the most critical translational milestone in the field. By integrating cutting-edge single-cell multi-omics technologies, spatial profiling, and bioengineering advances, we further discuss current limitations, unresolved technical and biological challenges, and future directions aimed at bridging the long-standing gap between bench research and clinical practice. This work aims to present an updated, clinically oriented synthesis of organoid applications in oncology, with the ultimate goal of accelerating the clinical translation of organoid technology to advance precision cancer care and improve patient outcomes.

Indexed as

Biomedical ResearchNeoplasmsOrganoidsAnimalsDrug DiscoveryHumansPrecision MedicineTranslational Research, BiomedicalDrug discoverImmuno-oncologyPatient-derived organoidsPrecision oncologyTumor organoids

Identifiers

PMID42373929
PMCPMC13315407

What OpenQuestion holds

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LicenceCC BY
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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.