ArticleGenome biology2007
Identification of conserved gene expression features between murine mammary carcinoma models and human breast tumors.
Article in Genome biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 738 papers, 2 of them syntheses that pooled it.
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
738 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Pooled it
- Flimma: a federated and privacy-aware tool for differential gene expression analysis.Genome biology · 2021Pooled it
- Multiple distinct metastatic cell states are induced by epithelial-mesenchymal plasticity.bioRxiv : the preprint server for biology · 2026Article
- An immunocompetent osteoblastic model of mammary cancer bone metastasis established by syngeneic intratibial injection of PyMT mammary carcinoma cells in FVB/N mice.bioRxiv : the preprint server for biology · 2026Article
- TLR7 signature of tumour innervation reveals two distinct pathways of triple-negative breast cancer progression.British journal of cancer · 2026Article
- Article
- Intratumor heterogeneity in human basal like breast cancer is revealed by single cell molecular subtyping.Communications medicine · 2026Article
- Subtype-Stratified Consensus Gene Signatures: Bridging Tumor Cell Biology, Immune Microenvironment, and Clinical Prognosis in Breast Cancer.International journal of molecular sciences · 2026Article
- Tumor Heterogeneity Induces Pro- and Anti-metastatic Myeloid Cell Phenotypes in Breast Cancer Lung Metastasis.bioRxiv : the preprint server for biology · 2026Article
- Competitive cell transplantation in rat mammary tissue and its use for radiation-induced cell competition and tumor clonality assays.Journal of radiation research · 2026Article
- A multicenter retrospective study of neoadjuvant chemotherapy and breast conservation rate in locally advanced breast cancer.Discover oncology · 2026Article
- Identification of susceptibility loci using a novel murine model for triple-negative breast cancer.G3 (Bethesda, Md.) · 2026Article
- CK8/18 and Claudin Profile of Female Breast Cancers from Botswana.Breast cancer : basic and clinical research · 2026Article
- Endocrine therapy resistance of breast cancer: Important role of G protein-coupled estrogen receptor (GPER) and new therapeutic strategies.Genes & diseases · 2026Review
- CD44 knockdown and TGF‑β inhibition modulate cell proliferation and invasion in claudin‑low breast cancer cells.Oncology reports · 2026Article
- Cell-cell junction gene signatures as subtype-specific prognostic biomarkers in breast cancer.PloS one · 2026Article
- Engineering Complexity: Advances in 3D Breast Cancer Models for Precision Oncology.Advanced healthcare materials · 2026Review
- From comparative oncology to AI-enabled precision medicine: translational biomodels for triple-negative breast cancer.Frontiers in oncology · 2026Article
- Article
- Decoding Breast Cancer: Emerging Molecular Biomarkers and Novel Therapeutic Targets for Precision Medicine.International journal of molecular sciences · 2025Review
678 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
26 authors.
Funding
Abstract
backgroundAlthough numerous mouse models of breast carcinomas have been developed, we do not know the extent to which any faithfully represent clinically significant human phenotypes. To address this need, we characterized mammary tumor gene expression profiles from 13 different murine models using DNA microarrays and compared the resulting data to those from human breast tumors.
resultsUnsupervised hierarchical clustering analysis showed that six models (TgWAP-Myc, TgMMTV-Neu, TgMMTV-PyMT, TgWAP-Int3, TgWAP-Tag, and TgC3(1)-Tag) yielded tumors with distinctive and homogeneous expression patterns within each strain. However, in each of four other models (TgWAP-T121, TgMMTV-Wnt1, Brca1Co/Co;TgMMTV-Cre;p53+/- and DMBA-induced), tumors with a variety of histologies and expression profiles developed. In many models, similarities to human breast tumors were recognized, including proliferation and human breast tumor subtype signatures. Significantly, tumors of several models displayed characteristics of human basal-like breast tumors, including two models with induced Brca1 deficiencies. Tumors of other murine models shared features and trended towards significance of gene enrichment with human luminal tumors; however, these murine tumors lacked expression of estrogen receptor (ER) and ER-regulated genes. TgMMTV-Neu tumors did not have a significant gene overlap with the human HER2+/ER- subtype and were more similar to human luminal tumors.
conclusionMany of the defining characteristics of human subtypes were conserved among the mouse models. Although no single mouse model recapitulated all the expression features of a given human subtype, these shared expression features provide a common framework for an improved integration of murine mammary tumor models with human breast tumors.
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.