Evidence map›Paper›PMID 34713636›Full record

ReviewCancer communications (London, England)2021

Tumor organoids: synergistic applications, current challenges, and future prospects in cancer therapy.

Jingjing Qu, Farhin Shaheed Kalyani, Li Liu, Tianli Cheng, Lijun Chen

Abstract readReview
In one paragraph

Review in Cancer communications (London, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 108 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
108citing 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

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

  1. Pooled it
  2. Article
  3. Constructing anTranslational cancer research · 2026
    Article
  4. Review
  5. Article
  6. Review
  7. Organoid technology in cancer research.Molecular biomedicine · 2026
    Review
  8. Review
  9. Article
  10. Review
  11. Review
  12. Progress and challenges in the development of advanced pancreatic cancer organoids.Journal of experimental & clinical cancer research : CR · 2026
    Review
  13. Review
  14. Review
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. Review

48 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

5 authors.

Jingjing QuDepartment of Respiratory Disease, Thoracic Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, 310003, P. R. China.ORCID 0000-0002-8079-4722
Farhin Shaheed KalyaniDepartment of Respiratory Disease, Thoracic Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, 310003, P. R. China.
Li LiuLung Cancer and Gastroenterology Department, Hunan Cancer Hospital, Affiliated Tumor Hospital of Xiangya Medical School, Central South University, Changsha, Hunan, 410008, P. R. China.
Tianli ChengThoracic Medicine Department 1, Hunan Cancer Hospital, Affiliated Tumor Hospital of Xiangya Medical School, Central South University, Changsha, Hunan, 410008, P. R. China.
Lijun ChenState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, 310003, P. R. China.ORCID 0000-0001-9374-6466

Funding

National Natural Science Foundation of China 81802278National Natural Science Foundation of China 81900563Natural Science Foundation of Hunan Province 2019JJ50361Natural Science Foundation of Hunan Province 2020JJ4418
6 · The paper itself

Abstract

Patient-derived cancer cells (PDCs) and patient-derived xenografts (PDXs) are often used as tumor models, but have many shortcomings. PDCs not only lack diversity in terms of cell type, spatial organization, and microenvironment but also have adverse effects in stem cell cultures, whereas PDX are expensive with a low transplantation success rate and require a long culture time. In recent years, advances in three-dimensional (3D) organoid culture technology have led to the development of novel physiological systems that model the tissues of origin more precisely than traditional culture methods. Patient-derived cancer organoids bridge the conventional gaps in PDC and PDX models and closely reflect the pathophysiological features of natural tumorigenesis and metastasis, and have led to new patient-specific drug screening techniques, development of individualized treatment regimens, and discovery of prognostic biomarkers and mechanisms of resistance. Synergistic combinations of cancer organoids with other technologies, for example, organ-on-a-chip, 3D bio-printing, and CRISPR-Cas9-mediated homology-independent organoid transgenesis, and with treatments, such as immunotherapy, have been useful in overcoming their limitations and led to the development of more suitable model systems that recapitulate the complex stroma of cancer, inter-organ and intra-organ communications, and potentially multiorgan metastasis. In this review, we discuss various methods for the creation of organ-specific cancer organoids and summarize organ-specific advances and applications, synergistic technologies, and treatments as well as current limitations and future prospects for cancer organoids. Further advances will bring this novel 3D organoid culture technique closer to clinical practice in the future.

Indexed as

NeoplasmsOrganoidsAnimalsDisease Models, AnimalHumansImmunotherapyPrecision MedicineTumor Microenvironment3D bio-printingcancer organoidscancer stromadrug screeningorgan-on-a-chippersonalized medicineprognostic biomarkertumor microenvironment

Identifiers

PMID34713636
PMCPMC8696219

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.