ArticleJournal of mammary gland biology and neoplasia2017
Mouse Models of Breast Cancer Share Amplification and Deletion Events with Human Breast Cancer.
Article in Journal of mammary gland biology and neoplasia, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
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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
18 citing papers in PubMed.
- Insights from Genomic Sequencing of Preclinical Breast Cancer Models Establish Human Parallels to Increase Therapeutic Applicability.Journal of mammary gland biology and neoplasia · 2026Review
- Murine Models of Obesity-Related Cancer Risk.Cancer prevention research (Philadelphia, Pa.) · 2025Review
- Insight into mammary gland development and tumor progression in an E2F5 conditional knockout mouse model.Oncogene · 2024Article
- Molecular Characterization and Landscape of Breast cancer Models from a multi-omics Perspective.Journal of mammary gland biology and neoplasia · 2023Review
- Characterization of Mammary Tumors Arising from MMTV-PyVT Transgenic Mice.Current issues in molecular biology · 2023Article
- The Viral Origin of Human Breast Cancer: From the Mouse Mammary Tumor Virus (MMTV) to the Human Betaretrovirus (HBRV).Viruses · 2022Review
- Annexin A1 Is Required for Efficient Tumor Initiation and Cancer Stem Cell Maintenance in a Model of Human Breast Cancer.Cancers · 2021Article
- Insights from transgenic mouse models of PyMT-induced breast cancer: recapitulating human breast cancer progression in vivo.Oncogene · 2021Review
- Low E2F2 activity is associated with high genomic instability and PARPi resistance.Scientific reports · 2020Article
- Metastasis-Specific Gene Expression in Autochthonous and Allograft Mouse Mammary Tumor Models: Stratification and Identification of Targetable Signatures.Molecular cancer research : MCR · 2020Article
- Normal mammary gland development after MMTV-Cre mediated conditional PAK4 gene depletion.Scientific reports · 2019Article
- How to Choose a Mouse Model of Breast Cancer, a Genomic Perspective.Journal of mammary gland biology and neoplasia · 2019Review
- PAK4 suppresses RELB to prevent senescence-like growth arrest in breast cancer.Nature communications · 2019Article
- Integrated analyses of murine breast cancer models reveal critical parallels with human disease.Nature communications · 2019Article
- Feasibility of analyzing DNA copy number variation in breast cancer tumor specimens from 1950 to 2010: how old is too old?Cancer causes & control : CCC · 2018Article
- Using gene expression data to direct breast cancer therapy: evidence from a preclinical trial.Journal of molecular medicine (Berlin, Germany) · 2018Review
- Histological subtypes of mouse mammary tumors reveal conserved relationships to human cancers.PLoS genetics · 2018Article
- Triple-negative breast cancer and the potential for targeted therapy.Pharmacogenomics · 2017Review
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
Abstract
Breast tumor heterogeneity has been well documented through the use of multiplatform -omic studies in human tumors. However, there is no integrative database to capture the heterogeneity within mouse models of breast cancer. This project identifies genomic copy number alterations (CNAs) in 600 tumors across 27 major mouse models of breast cancer through the application of a predictive algorithm to publicly available gene expression data. It was found that despite the presence of strong oncogenic drivers in most mouse models, CNAs are extremely common but heterogeneous both between models and within models. Many mouse CNA events are largely conserved in human tumors and in the mouse we show that they are associated with secondary tumor characteristics such as tumor histology, metastasis, as well as enhanced oncogenic signaling. These data serve as an important resource in guiding investigators when choosing a mouse model to understand the gene copy number changes relevant to human breast cancer.
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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.