Evidence map›Paper›PMID 31884964›Full record

ReviewJournal of hematology & oncology2019

Emerging organoid models: leaping forward in cancer research.

Han Fan, Utkan Demirci, Pu Chen

Abstract readReview
In one paragraph

Review in Journal of hematology & oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 106 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
106citing papers in PubMed, 1 pooled it
–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

106 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  13. AAV for ovarian cancer gene therapy.Cancer gene therapy · 2025
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  18. Current Organoid Culture Systems in Pancreatic Cancer.Current topics in medicinal chemistry · 2025
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46 more citing papers are in PubMed but not listed here.

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

3 authors.

Han FanDepartment of Biomedical Engineering, Wuhan University School of Basic Medical Sciences, 115 Donghu Road, Wuhan, 430071, Hubei, China.
Utkan DemirciDepartment of Radiology, Canary Center at Stanford for Cancer Early Detection, Stanford University School of Medicine, 3155 Porter Drive, Palo Alto, CA, 94304, USA. utkan@stanford.edu.
Pu ChenDepartment of Biomedical Engineering, Wuhan University School of Basic Medical Sciences, 115 Donghu Road, Wuhan, 430071, Hubei, China. puchen@whu.edu.cn.ORCID 0000-0002-6857-2211

Funding

Nano Characterization and Nano Fabrication CoreU54CA199075 · NCI · STANFORD UNIVERSITY · PI GAMBHIR, SANJIV S · 2015 to 2019
$9.6M
Platform technology for detection of cancer-associated viruses in HIV patientsR01DE024971 · NIDCR · STANFORD UNIVERSITY · PI DEMIRCI, UTKAN, KAYE, KENNETH M · 2015 to 2019
$2.1M
NCI NIH HHS U54 CA199075NIDCR NIH HHS R01 DE024971
6 · The paper itself

Abstract

Cancer heterogeneity is regarded as the main reason for the failure of conventional cancer therapy. The ability to reconstruct intra- and interpatient heterogeneity in cancer models is crucial for understanding cancer biology as well as for developing personalized anti-cancer therapy. Cancer organoids represent an emerging approach for creating patient-derived in vitro cancer models that closely recapitulate the pathophysiological features of natural tumorigenesis and metastasis. Meanwhile, cancer organoids have recently been utilized in the discovery of personalized anti-cancer therapy and prognostic biomarkers. Further, the synergistic combination of cancer organoids with organ-on-a-chip and 3D bioprinting presents a new avenue in the development of more sophisticated and optimized model systems to recapitulate complex cancer-stroma or multiorgan metastasis. Here, we summarize the recent advances in cancer organoids from a perspective of the in vitro emulation of natural cancer evolution and the applications in personalized cancer theranostics. We also discuss the challenges and trends in reconstructing more comprehensive cancer models for basic and clinical cancer research.

Indexed as

Drug Evaluation, PreclinicalModels, BiologicalAnimalsHumansNeoplasmsOrganoidsPrecision MedicineTissue Engineering3D BioprintingCancer heterogeneityCancer organoidsIn vitro model systemOrgan-on-a-chipPatient-derived tumor organoidsPersonalized anti-cancer therapy

Identifiers

PMID31884964
PMCPMC6936115

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.