دورية أكاديمية
Inference of tissue relative proportions of the breast epithelial cell types luminal progenitor, basal, and luminal mature.
| العنوان: | Inference of tissue relative proportions of the breast epithelial cell types luminal progenitor, basal, and luminal mature. |
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| المؤلفون: | Bartlett TE; Department of Statistical Science, University College London, London, UK. thomas.bartlett.10@ucl.ac.uk., Jia P; Department of Statistical Science, University College London, London, UK., Chandna S; Department of Economics, Mathematics and Statistics, Birkbeck University of London, London, UK., Roy S; Department of Mathematical Sciences, University of Bath, Bath, UK. |
| المصدر: | Scientific reports [Sci Rep] 2021 Dec 08; Vol. 11 (1), pp. 23702. Date of Electronic Publication: 2021 Dec 08. |
| نوع المنشور: | Journal Article; Research Support, Non-U.S. Gov't |
| اللغة: | English |
| بيانات الدورية: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| أسماء مطبوعة: | Original Publication: London : Nature Publishing Group, copyright 2011- |
| مواضيع طبية MeSH: | Models, Biological*, Breast/*metabolism , Epithelial Cells/*metabolism , Stem Cells/*metabolism, Algorithms ; Biomarkers, Tumor ; Biopsy ; Breast/pathology ; Breast Neoplasms/etiology ; Breast Neoplasms/metabolism ; Breast Neoplasms/pathology ; Disease Susceptibility ; Female ; Genetic Predisposition to Disease ; Humans ; Immunohistochemistry ; Mutation ; Phenotype ; Single-Cell Analysis |
| مستخلص: | Single-cell analysis has revolutionised genomic science in recent years. However, due to cost and other practical considerations, single-cell analyses are impossible for studies based on medium or large patient cohorts. For example, a single-cell analysis usually costs thousands of euros for one tissue sample from one volunteer, meaning that typical studies using single-cell analyses are based on very few individuals. While single-cell genomic data can be used to examine the phenotype of individual cells, cell-type deconvolution methods are required to track the quantities of these cells in bulk-tissue genomic data. Hormone receptor negative breast cancers are highly aggressive, and are thought to originate from a subtype of epithelial cells called the luminal progenitor. In this paper, we show how to quantify the number of luminal progenitor cells as well as other epithelial subtypes in breast tissue samples using DNA and RNA based measurements. We find elevated levels of cells which resemble these hormone receptor negative luminal progenitor cells in breast tumour biopsies of hormone receptor negative cancers, as well as in healthy breast tissue samples from BRCA1 (FANCS) mutation carriers. We also find that breast tumours from carriers of heterozygous mutations in non-BRCA Fanconi Anaemia pathway genes are much more likely to be hormone receptor negative. These findings have implications for understanding hormone receptor negative breast cancers, and for breast cancer screening in carriers of heterozygous mutations of Fanconi Anaemia pathway genes. (© 2021. The Author(s).) |
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| معلومات مُعتمدة: | MR/P014070/1 United Kingdom MRC_ Medical Research Council |
| المشرفين على المادة: | 0 (Biomarkers, Tumor) |
| تواريخ الأحداث: | Date Created: 20211209 Date Completed: 20220128 Latest Revision: 20220128 |
| رمز التحديث: | 20221213 |
| مُعرف محوري في PubMed: | PMC8655091 |
| DOI: | 10.1038/s41598-021-03161-7 |
| PMID: | 34880407 |
| قاعدة البيانات: | MEDLINE |
Find this article in full text from Springer Verlag. 
Full Text Finder | تدمد: | 2045-2322 |
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| DOI: | 10.1038/s41598-021-03161-7 |