Evidence map›Paper›PMID 28768734›Full record

ReviewDisease models & mechanisms2017

Human tissue models in cancer research: looking beyond the mouse.

Samuel J Jackson, Gareth J Thomas

Open access · goldAbstract readEditorialReview
In one paragraph

Review in Disease models & mechanisms, 2017. 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
3.5field-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

30 citing papers in PubMed, 60 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Preclinical Applications of Magnetic Resonance Imaging in Oncology.Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer · 2026
    Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. (3D) Bioprinting-Next Dimension of the Pharmaceutical Sector.Pharmaceuticals (Basel, Switzerland) · 2024
    Review
  10. Review
  11. Review
  12. Review
  13. Review
  14. Review
  15. Article
  16. Review
  17. Review
  18. Cancer Explant Models.Current topics in microbiology and immunology · 2021
    Article
  19. Review
  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

2 authors at 2 institutions in 1 country.

Samuel J JacksonNational Centre for the Replacement, Refinement and Reduction of Animals in Research, Gibbs Building, 215 Euston Road, London NW1 2BE, UK Sam.Jackson@nc3rs.org.uk.
Gareth J ThomasCancer Sciences Unit, Faculty of Medicine, University of Southampton, Somers Building, MP 824 Tremona Road, Southampton SO16 6YD, UK.
National Centre for the Replacement Refinement and Reduction of Animals in Research · GBUniversity of Southampton · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mouse models, including patient-derived xenograft mice, are widely used to address questions in cancer research. However, there are documented flaws in these models that can result in the misrepresentation of human tumour biology and limit the suitability of the model for translational research. A coordinated effort to promote the more widespread development and use of 'non-animal human tissue' models could provide a clinically relevant platform for many cancer studies, maximising the opportunities presented by human tissue resources such as biobanks. A number of key factors limit the wide adoption of non-animal human tissue models in cancer research, including deficiencies in the infrastructure and the technical tools required to collect, transport, store and maintain human tissue for lab use. Another obstacle is the long-standing cultural reliance on animal models, which can make researchers resistant to change, often because of concerns about historical data compatibility and losing ground in a competitive environment while new approaches are embedded in lab practice. There are a wide range of initiatives that aim to address these issues by facilitating data sharing and promoting collaborations between organisations and researchers who work with human tissue. The importance of coordinating biobanks and introducing quality standards is gaining momentum. There is an exciting opportunity to transform cancer drug discovery by optimising the use of human tissue and reducing the reliance on potentially less predictive animal models.

Indexed as

Biomedical ResearchModels, BiologicalAnimalsHumansMiceNeoplasmsTissue Culture TechniquesXenograft Model Antitumor Assays

Identifiers

PMID28768734
PMCPMC5560067
OpenAlexW2740056091

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.