ArticleThe Journal of clinical investigation2014
Taxonomy of breast cancer based on normal cell phenotype predicts outcome.
Article in The Journal of clinical investigation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 112 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
112 citing papers in PubMed, 1 synthesis or guideline pooled it, 198 citations in OpenAlex.
- Systematic analysis of metastasis-associated genes identifies miR-17-5p as a metastatic suppressor of basal-like breast cancer.Breast cancer research and treatment · 2014Pooled it
- Trial
- The pleiotropic roles of non-hormonal receptor basigin and regulatory microRNAs in breast cancer.NPJ breast cancer · 2025Review
- Defining breast epithelial cell types in the single-cell era.Developmental cell · 2025Review
- Reactivation of Multipotency in the Mammary Gland - a Ripple in the Pond and a Turn of the Tide.Journal of mammary gland biology and neoplasia · 2025Review
- Classification of Breast Cancer Through the Perspective of Cell Identity Models.Advances in experimental medicine and biology · 2025Review
- A hybrid epithelial-mesenchymal transition program enables basal epithelial cells to bypass stress-induced stasis and contributes to a metaplastic breast cancer progenitor state.Breast cancer research : BCR · 2024Article
- An adaptive Epithelial-Mesenchymal Transition Program Enables Basal Epithelial Cells to Bypass Stress-Induced Stasis and Contributes to Metaplastic Breast Cancer Progenitor State.Research square · 2024Article
- A triple hormone receptor ER, AR, and VDR signature is a robust prognosis predictor in breast cancer.Breast cancer research : BCR · 2024Article
- The androgen receptor interacts with GATA3 to transcriptionally regulate a luminal epithelial cell phenotype in breast cancer.Genome biology · 2024Article
- Expanding the evo-devo toolkit: generation of 3D mammary tissue from diverse mammals.Development (Cambridge, England) · 2024Article
- Natural compounds targeting nuclear receptors for effective cancer therapy.Cancer metastasis reviews · 2023Review
- Imagine beyond: recent breakthroughs and next challenges in mammary gland biology and breast cancer research.Journal of mammary gland biology and neoplasia · 2023Review
- Annexin A1 is a polarity cue that directs mitotic spindle orientation during mammalian epithelial morphogenesis.Nature communications · 2023Article
- Article
- Targeting nuclear hormone receptors for the prevention of breast cancer.Frontiers in medicine · 2023Review
- ZNF92, an unexplored transcription factor with remarkably distinct breast cancer over-expression associated with prognosis and cell-of-origin.NPJ breast cancer · 2022Article
- Ductal keratin 15NPJ breast cancer · 2022Article
- A human breast atlas integrating single-cell proteomics and transcriptomics.Developmental cell · 2022Article
- Bisphenol A replacement chemicals, BPF and BPS, induce protumorigenic changes in human mammary gland organoid morphology and proteome.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
52 more citing papers are in PubMed but not listed here.
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Authors and funding
16 authors at 3 institutions in 1 country.
Funding
Abstract
Accurate classification is essential for understanding the pathophysiology of a disease and can inform therapeutic choices. For hematopoietic malignancies, a classification scheme based on the phenotypic similarity between tumor cells and normal cells has been successfully used to define tumor subtypes; however, use of normal cell types as a reference by which to classify solid tumors has not been widely emulated, in part due to more limited understanding of epithelial cell differentiation compared with hematopoiesis. To provide a better definition of the subtypes of epithelial cells comprising the breast epithelium, we performed a systematic analysis of a large set of breast epithelial markers in more than 15,000 normal breast cells, which identified 11 differentiation states for normal luminal cells. We then applied information from this analysis to classify human breast tumors based on normal cell types into 4 major subtypes, HR0-HR3, which were differentiated by vitamin D, androgen, and estrogen hormone receptor (HR) expression. Examination of 3,157 human breast tumors revealed that these HR subtypes were distinct from the current classification scheme, which is based on estrogen receptor, progesterone receptor, and human epidermal growth factor receptor 2. Patient outcomes were best when tumors expressed all 3 hormone receptors (subtype HR3) and worst when they expressed none of the receptors (subtype HR0). Together, these data provide an ontological classification scheme associated with patient survival differences and provides actionable insights for treating breast tumors.
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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.