ReviewLaboratory animal research2018
Mouse models of breast cancer in preclinical research.
Review in Laboratory animal research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 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
39 citing papers in PubMed.
- Engineering Complexity: Advances in 3D Breast Cancer Models for Precision Oncology.Advanced healthcare materials · 2026Review
- Targeting CAF-specific metabolic pathways in breast cancer.Naunyn-Schmiedeberg's archives of pharmacology · 2025Review
- Murine Models of Obesity-Related Cancer Risk.Cancer prevention research (Philadelphia, Pa.) · 2025Review
- Breast cancer preclinical models: a vital resource for comprehending disease mechanisms and therapeutic development.EXCLI journal · 2025Review
- A new Neu-a syngeneic model of spontaneously metastatic HER2-positive breast cancer.Clinical & experimental metastasis · 2024Article
- Exploring the One Health Paradigm in Male Breast Cancer.Journal of mammary gland biology and neoplasia · 2024Review
- Progression from ductal carcinoma in situ to invasive breast cancer: molecular features and clinical significance.Signal transduction and targeted therapy · 2024Review
- The progressive trend of modeling and drug screening systems of breast cancer bone metastasis.Journal of biological engineering · 2024Review
- Local dose-dense chemotherapy for triple-negative breast cancer via minimally invasive implantation of 3D printed devices.Asian journal of pharmaceutical sciences · 2024Article
- In vivo validation of the functional role of MicroRNA-4638-3p in breast cancer bone metastasis.Journal of cancer research and clinical oncology · 2024Article
- Current Insights in Murine Models for Breast Cancer: Present, Past and Future.Current pharmaceutical design · 2024Review
- Development of a HPLC-MS/MS Method to Assess the Pharmacokinetics and Tumour Distribution of the Dimethylarginine Dimethylaminohydrolase 1 Inhibitors ZST316 and L-257 in a Xenograft Model of Triple-Negative Breast Cancer in Mice.Molecules (Basel, Switzerland) · 2023Article
- Patient Characteristics Associated with Growth of Patient-Derived Tumor Implants in Mice (Patient-Derived Xenografts).Cancers · 2023Article
- Sexual Dimorphism of Skeletal Muscle in a Mouse Model of Breast Cancer: A Functional and Molecular Analysis.International journal of molecular sciences · 2023Article
- Gestational Breast Cancer - a Review of Outcomes, Pathophysiology, and Model Systems.Journal of mammary gland biology and neoplasia · 2023Review
- Sexual Dimorphism of Skeletal Muscle in a Mouse Model of Breast Cancer: A Functional and Molecular Analysis.bioRxiv : the preprint server for biology · 2023Article
- Challenges and opportunities in metastatic breast cancer treatments: Nano-drug combinations delivered preferentially to metastatic cells may enhance therapeutic response.Pharmacology & therapeutics · 2022Review
- Review
- Swine models for translational oncological research: an evolving landscape and regulatory considerations.Mammalian genome : official journal of the International Mammalian Genome Society · 2022Review
- Large Animal Models of Breast Cancer.Frontiers in oncology · 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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Breast cancer remains the second leading cause of cancer death among woman, worldwide, despite advances in identifying novel targeted therapies and the development of treating strategies. Classification of clinical subtypes (ER+, PR+, HER2+, and TNBC (Triple-negative)) increases the complexity of breast cancers, which thus necessitates further investigation. Mouse models used in breast cancer research provide an essential approach to examine the mechanisms and genetic pathway in cancer progression and metastasis and to develop and evaluate clinical therapeutics. In this review, we summarize tumor transplantation models and genetically engineered mouse models (GEMMs) of breast cancer and their applications in the field of human breast cancer research and anti-cancer drug development. These models may help to improve the knowledge of underlying mechanisms and genetic pathways, as well as creating approaches for modeling clinical tumor subtypes, and developing innovative cancer therapy.
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.