ReviewVeterinary sciences2021
Emerging Biomarkers and Targeted Therapies in Feline Mammary Carcinoma.
Review in Veterinary sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed, 14 citations in OpenAlex.
- Review
- Plant extracts and phytochemicals in canine and feline mammary cancer models: current evidence and comparative perspectives.Veterinary research communications · 2026Review
- Serum programmed death ligand 2 is elevated in cats with mammary carcinoma.Scientific reports · 2026Article
- Inside the Tumor: Decoding the Feline Mammary Tumor Microenvironment and Its Prognostic Value-A Review.Veterinary sciences · 2025Review
- Feline Mammary Tumors: A Comprehensive Review of Histological Classification Schemes, Grading Systems, and Prognostic Factors.Veterinary sciences · 2025Review
- PD-1, PD-L1, and PD-L2 Expression as Predictive Markers in Rare Feline Mammary Tumors.Veterinary sciences · 2025Article
- Prognostic Insights in Feline Mammary Carcinomas: Clinicopathological Factors and the Proposal of a New Staging System.Animals : an open access journal from MDPI · 2025Article
- Implementation of Machine Learning-Based System for Early Diagnosis of Feline Mammary Carcinomas through Blood Metabolite Profiling.Metabolites · 2024Article
- Comparative pharmacokinetics of free doxorubicin and a liposomal formulation in cats following intravenous administration.Frontiers in veterinary science · 2024Article
- Adipocyte-Derived Adipokines and Other Obesity-Associated Molecules in Feline Mammary Cancer.Biomedicines · 2023Review
- The protein and miRNA profile of plasma extracellular vesicles (EVs) can distinguish feline mammary adenocarcinoma patients from healthy feline controls.Scientific reports · 2023Article
- Epithelial-to-Mesenchymal Transition and Phenotypic Marker Evaluation in Human, Canine, and Feline Mammary Gland Tumors.Animals : an open access journal from MDPI · 2023Article
- Article
- Pathological Similarities in the Development of Papillomavirus-Associated Cancer in Humans, Dogs, and Cats.Animals : an open access journal from MDPI · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Feline mammary carcinoma (FMC) is a common aggressive malignancy with a low survival rate that lacks viable therapeutic options beyond mastectomy. Recently, increasing efforts have been made to understand the molecular mechanisms underlying FMC development, using the knowledge gained from studies on human breast cancer to discover new diagnostic and prognostic biomarkers, thus reinforcing the utility of the cat as a cancer model. In this article, we review the current knowledge on FMC pathogenesis, biomarkers, and prognosis factors and offer new insights into novel therapeutic options for HER2-positive and triple-negative FMC subtypes.
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.