Evidence map›Paper›PMID 31231121›Full record

ReviewBritish journal of cancer2019

The role of mouse tumour models in the discovery and development of anticancer drugs.

Christopher R Ireson, Mo S Alavijeh, Alan M Palmer, Emily R Fowler, Hazel J Jones

Abstract readReview
In one paragraph

Review in British journal of cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 131 papers.

0numbers the graph read from it
0cells of the map it votes in
131citing papers in PubMed
–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

131 citing papers in PubMed.

  1. Trial
  2. New approach methodologies (NAMs) for preclinical and translational evaluation of mRNA-lipid nanoparticle (LNP) therapeutics.Journal of controlled release : official journal of the Controlled Release Society · 2026
    Review
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  14. Pre-clinical SPECT and SPECT-CT in Oncology.Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer · 2026
    Review
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. Review

71 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.

Christopher R IresonPharmidex Pharmaceutical Services, 14 Hanover Street, London, W1S 1YH, UK. c.ireson@pharmidex.com.
Mo S AlavijehPharmidex Pharmaceutical Services, 14 Hanover Street, London, W1S 1YH, UK.
Alan M PalmerReading School of Pharmacy, Whiteknights, Reading, RG6 6A, UK.
Emily R FowlerPharmidex Pharmaceutical Services, 14 Hanover Street, London, W1S 1YH, UK.
Hazel J JonesAstraZeneca, Oncology R&D, Cambridge, UK.

Funding

Biotechnology and Biological Sciences Research Council
6 · The paper itself

Abstract

Our understanding of cancer biology has increased substantially over the past 30 years. Despite this, and an increasing pharmaceutical company expenditure on research and development, the approval of novel oncology drugs during the past decade continues to be modest. In addition, the attrition of agents during clinical development remains high. This attrition can be attributed, at least in part, to the clinical development being underpinned by the demonstration of predictable efficacy in experimental models of human tumours. This review will focus on the range of models available for the discovery and development of anticancer drugs, from traditional subcutaneous injection of tumour cell lines to mice genetically engineered to spontaneously give rise to tumours. It will consider the best time to use the models, along with practical applications and shortcomings. Finally, and most importantly, it will describe how these models reflect the underlying cancer biology and how well they predict efficacy in the clinic. Developing a line of sight to the clinic early in a drug discovery project provides clear benefit, as it helps to guide the selection of appropriate preclinical models and facilitates the investigation of relevant biomarkers.

Indexed as

Disease Models, AnimalDrug DevelopmentDrug DiscoveryAnimalsAntineoplastic AgentsCell Line, TumorHumansMiceNeoplasm MetastasisNeoplasmsXenograft Model Antitumor AssaysAntineoplastic Agents

Identifiers

PMID31231121
PMCPMC6738037

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.