Evidence map›Paper›PMID 40005948›Full record

ReviewVeterinary sciences2025

Canine, Feline, and Murine Mammary Tumors as a Model for Translational Research in Breast Cancer.

Geovanni Dantas Cassali, Karen Yumi Ribeiro Nakagaki, Marisa Salvi, Marina Possa Dos Reys, Marcos André Nino Rocha, Cecilia Bonolo de Campos, Enio Ferreira, Angelica Cavalheiro Bertagnolli Rodrigues, Diego Carlos Dos Reis, Karine Araujo Damasceno and 1 more

Abstract readReview
In one paragraph

Review in Veterinary sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Focus on Tumours in Pet Animals.Veterinary sciences · 2025
    Article
  10. Review
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

11 authors.

Geovanni Dantas CassaliDepartamento de Patologia Geral, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, Minas Gerais, Brazil.ORCID 0000-0002-5650-6743
Karen Yumi Ribeiro NakagakiDepartamento de Patologia Geral, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, Minas Gerais, Brazil.
Marisa SalviDepartamento de Patologia Geral, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, Minas Gerais, Brazil.
Marina Possa Dos ReysDepartamento de Patologia Geral, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, Minas Gerais, Brazil.
Marcos André Nino RochaEscola de Medicina Veterinária e Zootecnia, Universidade Federal da Bahia, Salvador 40170-110, Bahia, Brazil.
Cecilia Bonolo de CamposPrincess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2M9, Canada.
Enio FerreiraDepartamento de Patologia Geral, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, Minas Gerais, Brazil.ORCID 0000-0002-1835-0303
Angelica Cavalheiro Bertagnolli RodriguesInstituto de Pesquisas Veterinárias Desidério Finamor, Eldorado do Sul 92990-000, Rio Grande do Sul, Brazil.
Diego Carlos Dos ReisDivision of Molecular Pathology, The Institute of Cancer Research, London SW7 3RP, UK.ORCID 0000-0002-9676-7745
Karine Araujo DamascenoCentro de Pesquisas Gonçalo Moniz, Fiocruz, Salvador 40296-710, Bahia, Brazil.ORCID 0000-0003-2087-1690
Alessandra Estrela-LimaEscola de Medicina Veterinária e Zootecnia, Universidade Federal da Bahia, Salvador 40170-110, Bahia, Brazil.ORCID 0000-0002-9879-7999

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In veterinary medicine, mammary tumors are the most common neoplasms in female dogs and the third most frequent in cats, representing a significant challenge. Efforts have been directed toward adopting standardized diagnostic criteria to better understand tumor behavior and progression in these species. Meanwhile, the use of animal models has substantially advanced the understanding of comparative mammary carcinogenesis. These models provide critical insights into factors responsible for the disease in humans, with the expectation that such factors can be identified and controlled. In this context, this review presents a work based mainly on articles published by a research group specializing in mammary pathology (Laboratory of Comparative Pathology-Department of General Pathology-ICB/UFMG) and its collaborators, complementing their results with literature findings. The publications were categorized into animal research, experimental research, and human research. These studies addressed topics such as diagnosis, prognostic and predictive factors, tumor microenvironment, inflammation associated with tumors, treatment approaches, and factors influencing tumor growth. The conceptual network analysis underscores the importance of in vivo breast cancer models, both experimental and spontaneous, for understanding tumor progression mechanisms and therapeutic responses, offering valuable contributions to veterinary and human oncology.

Indexed as

cancer treatmenthistological gradingmammary cancermammary tumorstranslational modelstumor microenvironment

Identifiers

PMID40005948
PMCPMC11860833

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.