Evidence map›Paper›PMID 40978067›Full record

ReviewFrontiers in oncology2025

Application and development of Organ-on-a-Chip technology in cancer therapy.

Ling Xiao Wang, Shu Ling Liu, Ning Wu

Erratum issuedAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
  6. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Ling Xiao WangSchool of Gongli Hospital Medical Technology, University of Shanghai for Science and Technology, Shanghai, China.
Shu Ling LiuShanghai Pudong NewArea Gongli Hospital, Shanghai, China.
Ning WuDepartment of Oncology, Shanghai Pudong New Area Gongli Hospital, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer therapies are limited by tumor heterogeneity, complex tumor microenvironments (TME), and treatment resistance. Traditional 2D cell cultures cannot replicate tumor 3D architecture and dynamic interactions, reducing clinical relevance. Organoid-on-a-Chip (OoC) technology overcomes these gaps by integrating microfluidics, tissue engineering, and cell biology to create physiologically accurate 3D models. This platform simulates TME dynamics-including vascularization and multi-organ interactions-surpassing static conventional models. Key advancements: (1) Three development phases: basic 3D culture (2009-2015), multi-organ coupling (2016-2020), and clinical translation (2021-present); (2) FDA Modernization Act 2.0 (2022) enabling OoC data as sole preclinical evidence for clinical trials; (3) Patient-derived organoids (PDOs) retaining parental tumors' features with >87% drug-response accuracy in colorectal cancer. Vascularized tumor chips further study angiogenic dynamics and drug efficacy. While OoC excels in drug screening, toxicity testing, and personalized oncology, challenges persist in simulating systemic immune responses. Advancing multi-organ integration and policy alignment remains critical to replace animal models and advance precision cancer therapy.

Indexed as

biomedical engineeringcancer therapydrug screeningin vitro modelorgan-on-a-chippersonalized medicine

Identifiers

PMID40978067
PMCPMC12446035

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.