Evidence map›Paper›PMID 27713700›Full record

ReviewFrontiers in pharmacology2016

Drug Discovery via Human-Derived Stem Cell Organoids.

Fangkun Liu, Jing Huang, Bo Ning, Zhixiong Liu, Shen Chen, Wei Zhao

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
6.0field-weighted citation impact, top 3% 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

30 citing papers in PubMed, 66 citations in OpenAlex.

  1. Review
  2. Review
  3. Stem cell modeling of nervous system tumors.Disease models & mechanisms · 2024
    Review
  4. Advances in the Study of Common and RareJournal of personalized medicine · 2024
    Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. Review
  10. Review
  11. Review
  12. Organoids in Translational Oncology.Journal of clinical medicine · 2020
    Review
  13. Organoid technology in female reproductive biomedicine.Reproductive biology and endocrinology : RB&E · 2020
    Review
  14. Article
  15. Bioengineering NovelFrontiers in bioengineering and biotechnology · 2020
    Article
  16. Article
  17. Review
  18. The pathogenesis of mucositis: updated perspectives and emerging targets.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2019
    Review
  19. Vitamin C and BJournal of biomedical materials research. Part A · 2019
    Article
  20. Article
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 4 institutions in 2 countries.

Fangkun LiuDepartment of Neurosurgery, Xiangya Hospital, Central South UniversityChangsha, China; Center for Inflammation and Epigenetics, Houston Methodist Research Institute, HoustonTX, USA.
Jing HuangCenter for Inflammation and Epigenetics, Houston Methodist Research Institute, HoustonTX, USA; Department of Psychiatry, The Second Xiangya Hospital, Central South University, ChangshaHunan, China; Mental Health Institute of the Second Xiangya Hospital, Central South University, ChangshaHunan, China; Chinese National Clinical Research Center on Mental Disorders, ChangshaHunan, China; Chinese National Technology Institute on Mental Disorders, ChangshaHunan, China; Hunan Key Laboratory of Psychiatry and Mental Health, ChangshaHunan, China.
Bo NingCenter for Inflammation and Epigenetics, Houston Methodist Research Institute, Houston TX, USA.
Zhixiong LiuDepartment of Neurosurgery, Xiangya Hospital, Central South University Changsha, China.
Shen ChenKey Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen UniversityGuangzhou, China; Department of Histology and Embryology, Zhongshan School of Medicine, Sun Yat-sen UniversityGuangzhou, China.
Wei ZhaoKey Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen UniversityGuangzhou, China; Department of Histology and Embryology, Zhongshan School of Medicine, Sun Yat-sen UniversityGuangzhou, China.
Sun Yat-sen University · CNXiangya Hospital Central South University · CNCentral South University · CNHouston Methodist · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patient-derived cell lines and animal models have proven invaluable for the understanding of human intestinal diseases and for drug development although both inherently comprise disadvantages and caveats. Many genetically determined intestinal diseases occur in specific tissue microenvironments that are not adequately modeled by monolayer cell culture. Likewise, animal models incompletely recapitulate the complex pathologies of intestinal diseases of humans and fall short in predicting the effects of candidate drugs. Patient-derived stem cell organoids are new and effective models for the development of novel targeted therapies. With the use of intestinal organoids from patients with inherited diseases, the potency and toxicity of drug candidates can be evaluated better. Moreover, owing to the novel clustered regularly interspaced short palindromic repeats/CRISPR-associated protein-9 genome-editing technologies, researchers can use organoids to precisely modulate human genetic status and identify pathogenesis-related genes of intestinal diseases. Therefore, here we discuss how patient-derived organoids should be grown and how advanced genome-editing tools may be applied to research on modeling of cancer and infectious diseases. We also highlight practical applications of organoids ranging from basic studies to drug screening and precision medicine.

Indexed as

inflammatory bowel diseaseintestinal cancerorganoidpluripotent stem cells

Identifiers

PMID27713700
PMCPMC5032635
OpenAlexW2523230276

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.