ArticleBreast cancer research : BCR2014
A genomic analysis of mouse models of breast cancer reveals molecular features of mouse models and relationships to human breast cancer.
Article in Breast cancer research : BCR, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.
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Who cites it
54 citing papers in PubMed.
- Preclinical models of breast cancer metastasis: strengths, limitations, and clinical relevance.NPJ breast cancer · 2026Review
- Activating mutations in ESR1 contribute to an immunosuppressive breast tumor microenvironment by dampening cytokine secretion.JCI insight · 2026Article
- Insights from Genomic Sequencing of Preclinical Breast Cancer Models Establish Human Parallels to Increase Therapeutic Applicability.Journal of mammary gland biology and neoplasia · 2026Review
- Rat Models of Hormone Receptor-Positive Breast Cancer.Journal of mammary gland biology and neoplasia · 2024Review
- Integrative multi-omic sequencing reveals the MMTV-Myc mouse model mimics human breast cancer heterogeneity.Breast cancer research : BCR · 2023Article
- 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
- Small-molecule inhibitors that disrupt the MTDH-SND1 complex suppress breast cancer progression and metastasis.Nature cancer · 2022Article
- Single-cell transcriptomics reveal the heterogeneity and dynamic of cancer stem-like cells during breast tumor progression.Cell death & disease · 2021Article
- Comparing syngeneic and autochthonous models of breast cancer to identify tumor immune components that correlate with response to immunotherapy in breast cancer.Breast cancer research : BCR · 2021Article
- C(3)1-TAg in C57BL/6 J background as a model to study mammary tumor development.Histochemistry and cell biology · 2021Article
- Annexin A1 Is Required for Efficient Tumor Initiation and Cancer Stem Cell Maintenance in a Model of Human Breast Cancer.Cancers · 2021Article
- Integrated Profiling Identifies CCNA2 as a Potential Biomarker of Immunotherapy in Breast Cancer.OncoTargets and therapy · 2021Article
- From Mouse to Human: Cellular Morphometric Subtype Learned From Mouse Mammary Tumors Provides Prognostic Value in Human Breast Cancer.Frontiers in oncology · 2021Article
- Metabolomic profiling of mouse mammary tumor-derived cell lines reveals targeted therapy options for cancer subtypes.Cellular oncology (Dordrecht, Netherlands) · 2020Article
- Aquaporin-7 Regulates the Response to Cellular Stress in Breast Cancer.Cancer research · 2020Article
- Correction of arginine metabolism with sepiapterin-the precursor of nitric oxide synthase cofactor BHBiochemical pharmacology · 2020Article
- HUNK Signaling in Metastatic Breast Cancer.Oncoscience · 2020Article
- Embryonic Barcoding of Equipotent Mammary Progenitors Functionally Identifies Breast Cancer Drivers.Cell stem cell · 2020Article
- Upregulation of lipid metabolism genes in the breast prior to cancer diagnosis.NPJ breast cancer · 2020Article
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2 authors.
Funding
Abstract
introductionGenomic variability limits the efficacy of breast cancer therapy. To simplify the study of the molecular complexity of breast cancer, researchers have used mouse mammary tumor models. However, the degree to which mouse models model human breast cancer and are reflective of the human heterogeneity has yet to be demonstrated with gene expression studies on a large scale.
methodsTo this end, we have built a database consisting of 1,172 mouse mammary tumor samples from 26 different major oncogenic mouse mammary tumor models.
resultsIn this dataset we identified heterogeneity within mouse models and noted a surprising amount of interrelatedness between models, despite differences in the tumor initiating oncogene. Making comparisons between models, we identified differentially expressed genes with alteration correlating with initiating events in each model. Using annotation tools, we identified transcription factors with a high likelihood of activity within these models. Gene signatures predicted activation of major cell signaling pathways in each model, predictions that correlated with previous genetic studies. Finally, we noted relationships between mouse models and human breast cancer at both the level of gene expression and predicted signal pathway activity. Importantly, we identified individual mouse models that recapitulate human breast cancer heterogeneity at the level of gene expression.
conclusionsThis work underscores the importance of fully characterizing mouse tumor biology at molecular, histological and genomic levels before a valid comparison to human breast cancer may be drawn and provides an important bioinformatic resource.
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