ArticleBMC genomics2017
Transcriptomic dynamics of breast cancer progression in the MMTV-PyMT mouse model.
Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed.
- Article
- Improvement of DCIS resection using intraoperative imaging with ICG-p28.Scientific reports · 2025Article
- Coagulation proteases modulate nucleic acid uptake and cGAS-STING-IFN induction in the tumor microenvironment.JCI insight · 2025Article
- Direct genetic transformation bypasses tumor-associated DNA methylation alterations.Genome biology · 2025Article
- Oxygen, angiogenesis, cancer and immune interplay in breast tumour microenvironment: a computational investigation.Royal Society open science · 2024Article
- Leveraging preclinical models of metastatic breast cancer.Biochimica et biophysica acta. Reviews on cancer · 2024Review
- Investigating the Role of Heparanase in Breast Cancer Development Utilising the MMTV-PyMT Murine Model of Mammary Carcinoma.Cancers · 2023Article
- Global Down-regulation of Gene Expression Induced by Mouse Mammary Tumor Virus (MMTV) in Normal Mammary Epithelial Cells.Viruses · 2023Article
- A PDE Model of Breast Tumor Progression in MMTV-PyMT Mice.Journal of personalized medicine · 2022Article
- Investigating key cell types and molecules dynamics in PyMT mice model of breast cancer through a mathematical model.PLoS computational biology · 2022Article
- Exploring approaches for predictive cancer patient digital twins: Opportunities for collaboration and innovation.Frontiers in digital health · 2022Article
- Interrelated Oncogenic Viruses and Breast Cancer.Frontiers in molecular biosciences · 2022Review
- Transcriptome analysis of heterogeneity in mouse model of metastatic breast cancer.Breast cancer research : BCR · 2021Article
- MYO10 drives genomic instability and inflammation in cancer.Science advances · 2021Article
- Article
- Insights from transgenic mouse models of PyMT-induced breast cancer: recapitulating human breast cancer progression in vivo.Oncogene · 2021Review
- Multi-color clonal tracking reveals intra-stage proliferative heterogeneity during mammary tumor progression.Oncogene · 2021Article
- Loss of Fbxw7 triggers mammary tumorigenesis associated with E2F/c-Myc activation and Trp53 mutation.Neoplasia (New York, N.Y.) · 2020Article
- Metastasis-Specific Gene Expression in Autochthonous and Allograft Mouse Mammary Tumor Models: Stratification and Identification of Targetable Signatures.Molecular cancer research : MCR · 2020Article
- QuaDMutNetEx: a method for detecting cancer driver genes with low mutation frequency.BMC bioinformatics · 2020Article
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Authors and funding
8 authors.
Funding
Abstract
backgroundMalignant breast cancer with complex molecular mechanisms of progression and metastasis remains a leading cause of death in women. To improve diagnosis and drug development, it is critical to identify panels of genes and molecular pathways involved in tumor progression and malignant transition. Using the PyMT mouse, a genetically engineered mouse model that has been widely used to study human breast cancer, we profiled and analyzed gene expression from four distinct stages of tumor progression (hyperplasia, adenoma/MIN, early carcinoma and late carcinoma) during which malignant transition occurs.
resultsWe found remarkable expression similarity among the four stages, meaning genes altered in the later stages showed trace in the beginning of tumor progression. We identified a large number of differentially expressed genes in PyMT samples of all stages compared with normal mammary glands, enriched in cancer-related pathways. Using co-expression networks, we found panels of genes as signature modules with some hub genes that predict metastatic risk. Time-course analysis revealed genes with expression transition when shifting to malignant stages. These may provide additional insight into the molecular mechanisms beyond pathways.
conclusionsThus, in this study, our various analyses with the PyMT mouse model shed new light on transcriptomic dynamics during breast cancer malignant progression.
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