Evidence map›Paper›PMID 26721874›Full record

ArticleDisease models & mechanisms2016

Use of a genetically engineered mouse model as a preclinical tool for HER2 breast cancer.

Helen Creedon, Lucy A Balderstone, Morwenna Muir, Jozef Balla, Laura Gomez-Cuadrado, Natasha Tracey, Joseph Loane, Teresa Klinowska, William J Muller, Valerie G Brunton

Open access · goldAbstract read
In one paragraph

Article in Disease models & mechanisms, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

12 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Emergence ofThe oncologist · 2019
    Review
  8. Article
  9. Article
  10. Disease models & mechanisms · 2017
    Review
  11. RAS pathway biomarkers for breast cancer prognosis.Clinical laboratory international · 2016
    Article
  12. Clinical applications of mouse models for breast cancer engaging HER2/neu.Integrative cancer science and therapeutics · 2016
    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

10 authors at 4 institutions in 2 countries.

Helen CreedonEdinburgh Cancer Research UK Centre, University of Edinburgh, Crewe Road South, Edinburgh EH4 2XR, UK.
Lucy A BalderstoneEdinburgh Cancer Research UK Centre, University of Edinburgh, Crewe Road South, Edinburgh EH4 2XR, UK.
Morwenna MuirEdinburgh Cancer Research UK Centre, University of Edinburgh, Crewe Road South, Edinburgh EH4 2XR, UK.
Jozef BallaEdinburgh Cancer Research UK Centre, University of Edinburgh, Crewe Road South, Edinburgh EH4 2XR, UK.
Laura Gomez-CuadradoEdinburgh Cancer Research UK Centre, University of Edinburgh, Crewe Road South, Edinburgh EH4 2XR, UK.
Natasha TraceyEdinburgh Cancer Research UK Centre, University of Edinburgh, Crewe Road South, Edinburgh EH4 2XR, UK.
Joseph LoanePathology Department, Western General Hospital, Edinburgh EH4 2ZD, UK.
Teresa KlinowskaAstraZeneca Oncology iMed, Alderley Park, Macclesfield SK10 4TG, UK.
William J MullerGoodman Cancer Research Center, McGill University, Montreal, Canada H3A 1A3.
Valerie G BruntonEdinburgh Cancer Research UK Centre, University of Edinburgh, Crewe Road South, Edinburgh EH4 2XR, UK v.brunton@ed.ac.uk.
Edinburgh Cancer Research · GBAstraZeneca (United Kingdom) · GBMcGill University · CAWestern General Hospital · GB

Funding

Cancer Research UK 15703Cancer Research UK C157/A1570Cancer Research UK C157/A9148Cancer Research UK C6088/A12063Medical Research Council G0900184-4/1
6 · The paper itself

Abstract

Resistance to human epidermal growth factor receptor 2 (HER2)-targeted therapies presents a major clinical problem. Although preclinical studies have identified a number of possible mechanisms, clinical validation has been difficult. This is most likely to reflect the reliance on cell-line models that do not recapitulate the complexity and heterogeneity seen in human tumours. Here, we show the utility of a genetically engineered mouse model of HER2-driven breast cancer (MMTV-NIC) to define mechanisms of resistance to the pan-HER family inhibitor AZD8931. Genetic manipulation of MMTV-NIC mice demonstrated that loss of phosphatase and tensin homologue (PTEN) conferred de novo resistance to AZD8931, and a tumour fragment transplantation model was established to assess mechanisms of acquired resistance. Using this approach, 50% of tumours developed resistance to AZD8931. Analysis of the resistant tumours showed two distinct patterns of resistance: tumours in which reduced membranous HER2 expression was associated with an epithelial-to-mesenchymal transition (EMT) and resistant tumours that retained HER2 expression and an epithelial morphology. The plasticity of the EMT phenotype was demonstrated upon re-implantation of resistant tumours that then showed a mixed epithelial and mesenchymal phenotype. Further AZD8931 treatment resulted in the generation of secondary resistant tumours that again had either undergone EMT or retained their original epithelial morphology. The data provide a strong rationale for basing therapeutic decisions on the biology of the individual resistant tumour, which can be very different from that of the primary tumour and will be specific to individual patients.

Indexed as

Genes, erbB-2Genetic EngineeringAnimalsBreast NeoplasmsDrug Resistance, NeoplasmFemaleHumansMiceQuinazolinesAZD 8931QuinazolinesBreast cancerEpithelial-to-mesenchymal transitionHER2Resistance

Identifiers

PMID26721874
PMCPMC4770148
OpenAlexW2231730507

What OpenQuestion holds

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Registered trials

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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.