ArticleNature communications2019
Integrated analyses of murine breast cancer models reveal critical parallels with human disease.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 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
46 citing papers in PubMed, 66 citations in OpenAlex.
- Exploring the Molecular and Genomic Landscape of the Dark Agouti Rat Mammary Adenocarcinoma: Preliminary Insights for Triple-Negative Breast Cancer Modeling.Journal of mammary gland biology and neoplasia · 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
- Robust characterization and interpretation of rare pathogenic cell populations from spatial omics using GARDEN.Nature communications · 2026Article
- Genetic background and oncogenic driver determines the genomic evolution and transcriptomics of mammary tumor metastasis.Communications biology · 2025Article
- Facing the Challenge to Mimic Breast Cancer Heterogeneity: Established and Emerging Experimental Preclinical Models Integrated with Omics Technologies.International journal of molecular sciences · 2025Review
- Investigating the genomic landscape of mouse models of breast cancer metastasis.bioRxiv : the preprint server for biology · 2025Article
- Rational design matrix materials for organoid development and application in biomedicine.Regenerative biomaterials · 2025Review
- Insight into mammary gland development and tumor progression in an E2F5 conditional knockout mouse model.Oncogene · 2024Article
- SMARCD1 is an essential expression-restricted metastasis modifier.Communications biology · 2024Article
- Dielectric Signatures of Late Carcinoma Immune Cells Using MMTV-PyMT Mammary Carcinoma Models.ACS omega · 2024Article
- Aneuploidy as a driver of human cancer.Nature genetics · 2024Review
- Circ-0044539 promotes lymph node metastasis of hepatocellular carcinoma through exosomal-miR-29a-3p.Cell death & disease · 2024Article
- HetFCM: functional co-module discovery by heterogeneous network co-clustering.Nucleic acids research · 2024Article
- SMARCD1 is a "Goldilocks" metastasis modifier.bioRxiv : the preprint server for biology · 2024Article
- Digital droplet PCR analysis of organoids generated from mouse mammary tumors demonstrates proof-of-concept capture of tumor heterogeneity.Frontiers in cell and developmental biology · 2024Article
- Systems approach for congruence and selection of cancer models towards precision medicine.PLoS computational biology · 2024Article
- Integrative multi-omic sequencing reveals the MMTV-Myc mouse model mimics human breast cancer heterogeneity.Breast cancer research : BCR · 2023Article
- Targeted TLR9 Agonist Elicits Effective Antitumor Immunity against Spontaneously Arising Breast Tumors.Journal of immunology (Baltimore, Md. : 1950) · 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
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors at 2 institutions in 1 country.
Funding
Abstract
Mouse models have an essential role in cancer research, yet little is known about how various models resemble human cancer at a genomic level. Here, we complete whole genome sequencing and transcriptome profiling of two widely used mouse models of breast cancer, MMTV-Neu and MMTV-PyMT. Through integrative in vitro and in vivo studies, we identify copy number alterations in key extracellular matrix proteins including collagen 1 type 1 alpha 1 (COL1A1) and chondroadherin (CHAD) that drive metastasis in these mouse models. In addition to copy number alterations, we observe a propensity of the tumors to modulate tyrosine kinase-mediated signaling through mutation of phosphatases such as PTPRH in the MMTV-PyMT mouse model. Mutation in PTPRH leads to increased phospho-EGFR levels and decreased latency. These findings underscore the importance of understanding the complete genomic landscape of a mouse model and illustrate the utility this has in understanding human cancers.
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.