Evidence map›Paper›PMID 35551634›Full record

ReviewJournal of hematology & oncology2022

Tumor organoids: applications in cancer modeling and potentials in precision medicine.

Hanxiao Xu, Dechao Jiao, Aiguo Liu, Kongming Wu

Abstract readReview
In one paragraph

Review in Journal of hematology & oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 188 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
188citing papers in PubMed, 3 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

188 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  12. The Application of 3D Cell Culture in Thyroid Cancer.Annals of biomedical engineering · 2026
    Review
  13. Article
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  16. Review
  17. Organoid technology in cancer research.Molecular biomedicine · 2026
    Review
  18. Article
  19. Article
  20. Review

128 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

4 authors.

Hanxiao Xu *Department of Pediatrics, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Dechao Jiao *Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China.
Aiguo LiuDepartment of Pediatrics, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China. drliuaiguo@163.com.
Kongming WuDepartment of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China. kmwu_lab@163.com.ORCID 0000-0003-2499-1032

Funding

National Natural Science Foundation of China 81874120National Natural Science Foundation of China 82073370
6 · The paper itself

Abstract

Cancer is a top-ranked life-threatening disease with intratumor heterogeneity. Tumor heterogeneity is associated with metastasis, relapse, and therapy resistance. These factors contribute to treatment failure and an unfavorable prognosis. Personalized tumor models faithfully capturing the tumor heterogeneity of individual patients are urgently needed for precision medicine. Advances in stem cell culture have given rise to powerful organoid technology for the generation of in vitro three-dimensional tissues that have been shown to more accurately recapitulate the structures, specific functions, molecular characteristics, genomic alterations, expression profiles, and tumor microenvironment of primary tumors. Tumoroids in vitro serve as an important component of the pipeline for the discovery of potential therapeutic targets and the identification of novel compounds. In this review, we will summarize recent advances in tumoroid cultures as an excellent tool for accurate cancer modeling. Additionally, vascularization and immune microenvironment modeling based on organoid technology will also be described. Furthermore, we will summarize the great potential of tumor organoids in predicting the therapeutic response, investigating resistance-related mechanisms, optimizing treatment strategies, and exploring potential therapies. In addition, the bottlenecks and challenges of current tumoroids will also be discussed in this review.

Indexed as

NeoplasmsPrecision MedicineCell Culture TechniquesHumansOrganoidsTumor MicroenvironmentCancerDrug discoveryOrganoidPatient-derived xenograftsTherapy response predictionTumor microenvironment

Identifiers

PMID35551634
PMCPMC9103066

What Socratic 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 Socratic graph.