Cited by 58Single-cell and spatial transcriptomicsAdvanced Proteomics Techniques and ApplicationsBreast Cancer Treatment Studies

High-Dimensional Phenotyping Identifies Age-Emergent Cells in Human Mammary Epithelia

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Pelissier Vatter, Fanny A., Schapiro, Denis, Chang, Hang, Borowsky, Alexander D., Lee, Jonathan K., Parvin, Bahram, Stampfer, Martha R., LaBarge, Mark A. +2 more·2018·Cell Reports

Abstract

Aging is associated with tissue-level changes in cellular composition that are correlated with increased susceptibility to disease. Aging human mammary tissue shows skewed progenitor cell potency, resulting in diminished tumor-suppressive cell types and the accumulation of defective epithelial progenitors. Quantitative characterization of these age-emergent human cell subpopulations is lacking, impeding our understanding of the relationship between age and cancer susceptibility. We conducted single-cell resolution proteomic phenotyping of healthy breast epithelia from 57 women, aged 16-91 years, using mass cytometry. Remarkable heterogeneity was quantified within the two mammary epithelial lineages. Population partitioning identified a subset of aberrant basal-like luminal cells that accumulate with age and originate from age-altered progenitors. Quantification of age-emergent phenotypes enabled robust classification of breast tissues by age in healthy women. This high-resolution mapping highlighted specific epithelial subpopulations that change with age in a manner consistent with increased susceptibility to breast cancer.

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Crossref · 10.1016/j.celrep.2018.03.114

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  • Accumulation of lumen and progenitor cells with age may lead to an increased risk of carcinogenesis.

    “Vatter et al. [50] performed a phenotypic analysis of mammary epithelial cells from 57 women (16–91 years old) and showed that accumulation of lumen and progenitor cells with age may lead to an increased risk of carcinogenesis.”

    From Immunosenescence: a key player in cancer development (2020) · cites this paper as [50]

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  1. Härdle W. Simar L. Applied multivariate statistical analysis Volume 22007 2007 Springer

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Authors
Pelissier Vatter, F. A., Schapiro, D., Chang, H., Borowsky, A. D., Lee, J. K., Parvin, B., Stampfer, M. R., LaBarge, M. A., Bodenmiller, B., & Lorens, J. B.
Affiliations
  • University of Zurich (CH)
  • Lawrence Berkeley National Laboratory (US)
  • University of California Davis Medical Center (US)
  • University of Nevada, Reno (US)
  • City Of Hope National Medical Center (US)
  • University of Bergen (NO)
Corresponding author
  • LaBarge, Mark A.
  • Bodenmiller, Bernd
  • Lorens, James B.
Venue
Cell Reports
Publisher
Elsevier BV
Published
2018-04
Volume
23
Issue
4
Pages
1205-1219
ISSN
2211-1247 (ISSN-L)
OpenAlex
W2801213376
Cited by
58
References
63
Citations by year
2026: 5 · 2025: 4 · 2024: 8 · 2023: 9 · 2022: 3 · 2021: 13 · 2020: 9 · 2019: 6 · 2018: 1
FWCI
2.58
Type
journal article
Language
en
Open access
Locations
  • Cell Reports (publishedVersion, cc-by-nc-nd)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • Zurich Open Repository and Archive (University of Zurich) (acceptedVersion, cc-by-nc-nd)
  • OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
  • NORA - Norwegian Open Research Archives (submittedVersion, cc-by-nc-nd)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
  • Zurich Open Repository and Archive (University of Zurich) (submittedVersion, cc-by-nc-nd)
  • Zurich Open Repository and Archive (University of Zurich)
Funders
  • European Research Council
  • Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (PP00P3-144874, 316030-139220, UC4 DK108132)
  • Norges ForskningsrÃ¥d (223250, 240130)
  • Helse Vest (911794)
  • National Institutes of Health (R00AG033176, R01AG040081, BC141351)
  • Seventh Framework Programme (FP/2007-2013, 336921)
  • Universitetet i Bergen
  • Universität Zürich (FK-74419-01-01, BIOEF-17-001)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
  • Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Breast Cancer Treatment Studies
Keywords
mammary epithelium, aging, breast cancer susceptibility, epithelial progenitors, mass cytometry, population partitioning, tumor suppression
MeSH terms
Adolescent, Adult, Aged, Aged, 80 and over, Aging, Female, Humans, Middle Aged, Mammary Glands, Human

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