ArticlePLoS genetics2018
Histological subtypes of mouse mammary tumors reveal conserved relationships to human cancers.
Article in PLoS genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.
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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.
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Who cites it
47 citing papers in PubMed, 89 citations in OpenAlex.
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- ECD co-operates with ERBB2 to promote tumorigenesis through upregulation of unfolded protein response and glycolysis.Cancer letters · 2025Article
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- Human sporadic breast carcinoma histotypes driven by the Human Betaretrovirus homologous to Mouse Mammary Tumor Virus.International journal of cancer · 2025Article
- Reciprocal inhibition of NOTCH and SOX2 shapes tumor cell plasticity and therapeutic escape in triple-negative breast cancer.EMBO molecular medicine · 2024Article
- Insight into mammary gland development and tumor progression in an E2F5 conditional knockout mouse model.Oncogene · 2024Article
- TransCDR: a deep learning model for enhancing the generalizability of drug activity prediction through transfer learning and multimodal data fusion.BMC biology · 2024Article
- Neutrophil Elastase Remodels Mammary Tumors to Facilitate Lung Metastasis.Molecular cancer therapeutics · 2024Article
- Physical activity regulates the immune response to breast cancer by a hematopoietic stem cell-autonomous mechanism.bioRxiv : the preprint server for biology · 2023Article
- PTHrP Regulates Fatty Acid Metabolism via Novel lncRNA in Breast Cancer Initiation and Progression Models.Cancers · 2023Article
- Molecular Characterization and Landscape of Breast cancer Models from a multi-omics Perspective.Journal of mammary gland biology and neoplasia · 2023Review
- Recent Advancement in Breast Cancer Research: Insights from Model Organisms-Mouse Models to Zebrafish.Cancers · 2023Review
- Loss of Kmt2c in vivo leads to EMT, mitochondrial dysfunction and improved response to lapatinib in breast cancer.Cellular and molecular life sciences : CMLS · 2023Article
- JAK-STAT Signaling in Inflammatory Breast Cancer Enables Chemotherapy-Resistant Cell States.Cancer research · 2023Article
- Article
- Ecdysoneless Overexpression Drives Mammary Tumorigenesis through Upregulation of C-MYC and Glucose Metabolism.Molecular cancer research : MCR · 2022Article
- Mesenchymal tumor cells drive adaptive resistance of Trp53Molecular oncology · 2022Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
Human breast cancer has been characterized by extensive transcriptional heterogeneity, with dominant patterns reflected in the intrinsic subtypes. Mouse models of breast cancer also have heterogeneous transcriptomes and we noted that specific histological subtypes were associated with particular subsets. We hypothesized that unique sets of genes define each tumor histological type across mouse models of breast cancer. Using mouse models that contained both gene expression data and expert pathologist classification of tumor histology on a sample by sample basis, we predicted and validated gene expression signatures for Papillary, EMT, Microacinar and other histological subtypes. These signatures predict known histological events across murine breast cancer models and identify counterparts of mouse mammary tumor types in subtypes of human breast cancer. Importantly, the EMT, Adenomyoepithelial, and Solid signatures were predictive of clinical events in human breast cancer. In addition, a pan-cancer comparison revealed that the histological signatures were active in a variety of human cancers such as lung, oral, and esophageal squamous tumors. Finally, the differentiation status and transcriptional activity implicit within these signatures was identified. These data reveal that within tumor histology groups are unique gene expression profiles of differentiation and pathway activity that stretch well beyond the transgenic initiating events and that have clear applicability to human cancers. As a result, our work provides a predictive resource and insights into possible mechanisms that govern tumor heterogeneity.
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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.