Evidence map›Paper›PMID 41832220›Full record

ReviewNPJ breast cancer2026

Preclinical models of breast cancer metastasis: strengths, limitations, and clinical relevance.

Patrick Aouad, Karim Halabi, Berthe Hayar, George Sflomos, Cathrin Brisken, Ciara Metcalfe, Nadine Darwiche

Abstract readReview
In one paragraph

Review in NPJ breast cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. 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

7 authors.

Patrick Aouad *Department of Discovery Oncology, Genentech, South San Francisco, CA, USA. aouadp@gene.com.
Karim Halabi *Department of Biochemistry and Molecular Genetics, American University of Beirut, Beirut, Lebanon.
Berthe HayarDepartment of Biochemistry and Molecular Genetics, American University of Beirut, Beirut, Lebanon.
George SflomosISREC - Swiss Institute for Experimental Cancer Research, School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Cathrin BriskenISREC - Swiss Institute for Experimental Cancer Research, School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Ciara MetcalfeDepartment of Discovery Oncology, Genentech, South San Francisco, CA, USA.
Nadine DarwicheDepartment of Biochemistry and Molecular Genetics, American University of Beirut, Beirut, Lebanon. nd03@aub.edu.lb.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer metastasis remains a leading cause of mortality. Animal models have been instrumental in dissecting the complex metastatic cascade and have provided insights into tumor progression and mechanisms of dissemination to distant organs. However, significant gaps remain, particularly in the context of a highly heterogeneous disease like breast cancer. This review summarizes animal models utilized to study breast cancer metastasis, including mutagen-induced and genetically engineered mouse models, cell line-based syngeneic and xenograft models, patient-derived xenografts, as well as rat and zebrafish models. We summarize the strengths and limitations of each model in recapitulating key stages of metastasis, including the onset of metastasis, organ-specific tropism, and tumor-microenvironment interactions. Additionally, we highlight the importance of these models in preclinical drug testing and personalized therapy. By providing a comprehensive overview, this review aims to guide researchers in choosing the most suitable preclinical breast cancer animal model to effectively address metastasis-related questions.

Identifiers

PMID41832220
PMCPMC13396391

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.