ArticleBreast cancer research : BCR2009
Gene expression in murine mammary epithelial stem cell-like cells shows similarities to human breast cancer gene expression.
Article in Breast cancer research : BCR, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 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
26 citing papers in PubMed, 55 citations in OpenAlex.
- Shaping Cell Identity: Global Transcriptome and Pathway Shifts during Mouse Mammary Epithelial Cell Differentiation.Computational and structural biotechnology journal · 2026Article
- Single-Cell Transcription Mapping of Murine and Human Mammary Organoids Responses to Female Hormones.Journal of mammary gland biology and neoplasia · 2024Article
- Global Down-regulation of Gene Expression Induced by Mouse Mammary Tumor Virus (MMTV) in Normal Mammary Epithelial Cells.Viruses · 2023Article
- Overexpression of Estrogen Receptor α in Mammary Glands of Aging Mice Is Associated with a Proliferative Risk Signature and Generation of Estrogen Receptor α-Positive Mammary Adenocarcinomas.The American journal of pathology · 2023Article
- Aberrant RET expression affects normal mammary gland post-lactation transition, enhancing cancer potential.Disease models & mechanisms · 2022Article
- Article
- VL30 retrotransposition is associated with induced EMT, CSC generation and tumorigenesis in HC11 mouse mammary stem‑like epithelial cells.Oncology reports · 2020Article
- Remodeling of ZnMetallomics : integrated biometal science · 2020Article
- A Primary Cell and Organoid Platform for Evaluating Pharmacological Responses in Mammary Epithelial Cells.ACS pharmacology & translational science · 2020Article
- A miR-206 regulated gene landscape enhances mammary epithelial differentiation.Journal of cellular physiology · 2019Article
- Replication-dependent histone isoforms: a new source of complexity in chromatin structure and function.Nucleic acids research · 2018Review
- Comprehensive profiling of transcriptional networks specific for lactogenic differentiation of HC11 mammary epithelial stem-like cells.Scientific reports · 2018Article
- RNA sequencing of murine mammary epithelial stem-like cells (HC11) undergoing lactogenic differentiation and its comparison with embryonic stem cells.BMC research notes · 2018Article
- Basolateral pressure challenges mammary epithelial cell monolayer integrity, in vitro.Cytotechnology · 2018Article
- Effects of miRNAs on functions of breast cancer stem cells and treatment of breast cancer.OncoTargets and therapy · 2018Review
- Article
- Article
- Nanomedicine-Mediated Therapies to Target Breast Cancer Stem Cells.Frontiers in pharmacology · 2016Review
- Runx2 contributes to the regenerative potential of the mammary epithelium.Scientific reports · 2015Article
- miR-200a inhibits migration of triple-negative breast cancer cells through direct repression of the EPHA2 oncogene.Carcinogenesis · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionMammary stem cells are bipotential and suggested to be the origin of breast cancer development, but are elusive and vaguely characterized. Breast tumors can be divided into subgroups, each one requiring specific treatment. To determine a possible association between mammary stem cells and breast cancer, a detailed characterization of the transcriptome in mammary stem cells is essential.
methodsWe have used a murine mammary epithelial stem-like cell line (HC11) and made a thorough investigation of global gene-expression changes during stepwise differentiation using dual-color comparative microarray technique. Subsequently, we have performed a cross-species comparison to reveal conserved gene expression between stem cells and subtype-specific and prognosis gene signatures, and correlated gene expression to in vivo mammary gland development.
resultsOur analysis of mammary stem-like and stepwise cell differentiation, and an in-depth description of our findings in a breast cancer perspective provide a unique map of the transcriptomic changes and a number of novel mammary stem cell markers. We correlate the alterations to in vivo mammary gland differentiation, and describe novel changes in nuclear receptor gene expression. Interestingly, our comparisons show that specific subtypes of breast cancers with poor prognosis and metastasizing capabilities show resemblance to stem-like gene expression.
conclusionsThe transcriptional characterization of these mammary stem-like cells and their differentiation-induced gene expression patterns is here made widely accessible and provides a basis for research on mammary stem-like cells. Our comparisons suggest that some tumors are more stem-like than others, with a corresponding worse prognosis. This information would, if established, be important for treatment decisions. We also suggest several marker candidates valuable to investigate further.
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.