Evidence map›Paper›PMID 31773090›Full record

ReviewAnimal models and experimental medicine2019

The promises and challenges of patient-derived tumor organoids in drug development and precision oncology.

Lauren M Granat, Ooha Kambhampati, Stephanie Klosek, Brian Niedzwecki, Kian Parsa, Dong Zhang

Open access · diamondAbstract readReview
In one paragraph

Review in Animal models and experimental medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 7% of its field
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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. The Application of 3D Cell Culture in Thyroid Cancer.Annals of biomedical engineering · 2026
    Review
  4. Review
  5. Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Grand challenges in organoid and organ-on-a-chip technologies.Frontiers in bioengineering and biotechnology · 2024
    Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
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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

6 authors at 1 institution in 1 country.

Lauren M GranatDepartment of Biomedical Sciences, College of Osteopathic Medicine New York Institute of Technology Old Westbury New York.
Ooha KambhampatiDepartment of Biomedical Sciences, College of Osteopathic Medicine New York Institute of Technology Old Westbury New York.
Stephanie KlosekDepartment of Biomedical Sciences, College of Osteopathic Medicine New York Institute of Technology Old Westbury New York.
Brian NiedzweckiDepartment of Biomedical Sciences, College of Osteopathic Medicine New York Institute of Technology Old Westbury New York.
Kian ParsaDepartment of Biomedical Sciences, College of Osteopathic Medicine New York Institute of Technology Old Westbury New York.
Dong ZhangDepartment of Biomedical Sciences, College of Osteopathic Medicine New York Institute of Technology Old Westbury New York.ORCID https://orcid.org/0000-0002-4515-2070
New York Institute of Technology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the era of precision medicine, cancer researchers and oncologists are eagerly searching for more realistic, cost effective, and timely tumor models to aid drug development and precision oncology. Tumor models that can faithfully recapitulate the histological and molecular characteristics of various human tumors will be extremely valuable in increasing the successful rate of oncology drug development and discovering the most efficacious treatment regimen for cancer patients. Two-dimensional (2D) cultured cancer cell lines, genetically engineered mouse tumor (GEMT) models, and patient-derived tumor xenograft (PDTX) models have been widely used to investigate the biology of various types of cancers and test the efficacy of oncology drug candidates. However, due to either the failure to faithfully recapitulate the complexity of patient tumors in the case of 2D cultured cancer cells, or high cost and untimely for drug screening and testing in the case of GEMT and PDTX, new tumor models are urgently needed. The recently developed patient-derived tumor organoids (PDTO) offer great potentials in uncovering novel biology of cancer development, accelerating the discovery of oncology drugs, and individualizing the treatment of cancers. In this review, we will summarize the recent progress in utilizing PDTO for oncology drug discovery. In addition, we will discuss the potentials and limitations of the current PDTO tumor models.

Indexed as

drug testingpatient derived tumor organoidsprecision oncologytumor models

Identifiers

PMID31773090
PMCPMC6762043
OpenAlexW2967862260

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.