ArticleBMC cancer2010
Spontaneous feline mammary intraepithelial lesions as a model for human estrogen receptor- and progesterone receptor-negative breast lesions.
Article in BMC cancer, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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.
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.
Who cites it
34 citing papers in PubMed, 79 citations in OpenAlex.
- Grade III canine and feline mammary carcinomas are associated with an immunosuppressed, vascularized and proliferative microenvironment.BMC veterinary research · 2026Article
- Novel organoid-based exploration reveals the role of LMTK3/FADS2 signaling in metastatic breast cancer progression in felines and humans.Scientific reports · 2025Article
- Feline Mammary Tumors: A Comprehensive Review of Histological Classification Schemes, Grading Systems, and Prognostic Factors.Veterinary sciences · 2025Review
- Insights from veterinary models for advancing oncolytic virotherapy through comparative oncology.Frontiers in molecular biosciences · 2025Review
- The immune microenvironment in tumors: focus on canine and feline spontaneous neoplasms.Frontiers in veterinary science · 2025Review
- Epidemiologic and Clinicopathological Characterization of Feline Mammary Lesions.Veterinary sciences · 2024Article
- Mammary gland, skin and soft tissue tumors in pet cats: findings of the feline tumors collected from 2002 to 2022.Frontiers in veterinary science · 2024Article
- A Scoping Review on Tyrosine Kinase Inhibitors in Cats: Current Evidence and Future Directions.Animals : an open access journal from MDPI · 2023Article
- Large Animal Models of Breast Cancer.Frontiers in oncology · 2022Review
- Establishment and Characterization of Feline Mammary Tumor Patient-Derived Xenograft Model.Animals : an open access journal from MDPI · 2021Article
- Emerging Biomarkers and Targeted Therapies in Feline Mammary Carcinoma.Veterinary sciences · 2021Review
- Anaplastic Mammary Carcinoma in Cat.Veterinary sciences · 2021Article
- Androgen receptor and FOXA1 coexpression define a "luminal-AR" subtype of feline mammary carcinomas, spontaneous models of breast cancer.BMC cancer · 2019Article
- Assessment ofAging · 2019Article
- Significance of sphingosine kinase 1 expression in feline mammary tumors.BMC veterinary research · 2019Article
- Proposal for a Histological Staging System of Mammary Carcinomas in Dogs and Cats. Part 2: Feline Mammary Carcinomas.Frontiers in veterinary science · 2019Article
- Canine mammary tumors as a model for human disease.Oncology letters · 2018Review
- Article
- Cat Mammary Tumors: Genetic Models for the Human Counterpart.Veterinary sciences · 2016Review
- Establishment and characterization of a new feline mammary cancer cell line, FkMTp.Cytotechnology · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBreast cancer is the most frequently diagnosed cancer in women. Intraepithelial lesions (IELs), such as usual ductal hyperplasia (UH), atypical ductal hyperplasia (ADH), and ductal carcinoma in situ (DCIS) are risk factors that predict a woman's chance of developing invasive breast cancer. Therefore, a comparative study that establishes an animal model of pre-invasive lesions is needed for the development of preventative measures and effective treatment for both mammary IELs and tumors. The purpose of this study was to characterize the histologic and molecular features of feline mammary IELs and compare them with those in women.
methodsFormalin-fixed, paraffin-embedded specimens (n = 205) from 203 female cats with clinical mammary disease were retrieved from the archives of the Purdue University Animal Disease Diagnostic Laboratory and Veterinary Teaching Hospital (West Lafayette, IN), and the Department of Pathology and Veterinary Clinic, School of Veterinary Medicine (Sassari, Italy). Histologic sections, stained with hematoxylin and eosin (HE), were evaluated for the presence of IELs in tissue adjacent to excised mammary tumors. Lesions were compared to those of humans. Immunohistochemistry for estrogen receptor (ER-alpha), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER-2/neu) and Ki-67 was performed in IELs and adjacent tumor tissues.
resultsIntraepithelial lesions were found in 57 of 203 (28%) feline mammary specimens and were categorized as UH (27%), ADH (29%), and DCIS (44%). Most IELs with atypia (ADH and DCIS) were associated with mammary cancer (91%), whereas UH was associated with benign lesions in 53% of cases. Feline IELs were remarkably similar to human IELs. No ER or PR immunoreactivity was detected in intermediate-grade or high-grade DCIS or their associated malignant tumors. HER-2 protein overexpression was found in 27% of IELs.
conclusionThe remarkable similarity of feline mammary IELs to those of humans, with the tendency to lose hormone receptor expression in atypical IELs, supports the cat as a possible model to study ER- and PR-negative breast lesions.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.