ReviewIn vivo (Athens, Greece)
Mammary Cancer Models: An Overview from the Past to the Future.
Review in In vivo (Athens, Greece). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Evaluation of Anti-Tumorigenic Effects of Curcumin and Baicalein in 7,12-Dimethylbenz[a] Anthracene-Induced Mammary Gland Tumorigenesis in Wistar Rats.Journal of biochemical and molecular toxicology · 2026Article
- Mechanical fingerprints in breast cancer research: A multimodal experimental approach.Bioengineering & translational medicine · 2026Article
- The 3D Collagen Network as a Determinant of Tumor Progression and Drug Delivery Efficiency in Breast Cancer.Pharmaceutics · 2026Review
- From Motor Proteins to Oncogenic Factors: The Evolving Role of Kinesin Superfamily Proteins in Breast Cancer Development.Molecular biotechnology · 2026Review
- Article
- Helical Tomotherapy in Local Advanced Breast Cancer Following Mastectomy: Long-term Results and Late Toxicity Analysis.In vivo (Athens, Greece)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Breast cancer research heavily relies on diverse model systems to comprehend disease progression, develop novel diagnostics, and evaluate new therapeutic strategies. This review offers a comprehensive overview of mammary cancer models, covering both ex vivo and in vivo approaches. We delve into established techniques, such as cell culture and explore cutting-edge advancements, like tumor-on-a-chip and bioprinting. The in vivo section encompasses spontaneous, induced, and transplanted models, genetically engineered models, chick chorioallantoic membrane assays, and the burgeoning field of in silico models. Additionally, this article briefly highlights the key discoveries made using these models, significantly enhancing our understanding of breast cancer. In essence, this article serves as a comprehensive compass, charting the trajectory of mammary cancer modeling from its early beginnings to the promising vistas of tomorrow.
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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.