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Cited by 177Cancer Cells and MetastasisCell Image Analysis TechniquesSingle-cell and spatial transcriptomics

Single-cell morphology encodes metastatic potential

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Wu, Pei-Hsun, Gilkes, Daniele M., Phillip, Jude M., Narkar, Akshay, Cheng, Thomas Wen-Tao, Marchand, Jorge, Lee, Meng-Horng, Li, Rong +1 more·2020·Science Advances
DOI 10.1126/sciadv.aaw6938PMC PMC6976289
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Abstract

Cancer cell population exhibits great cellular heterogeneity, and single-cell morphology encodes metastatic potential.

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  • DNA content and cell cycle phases can be identified from intensity of fluorescently labeled nuclei in images.

    “It has been shown in our previous studies that DNA content and cell cycle phases can be identified from the intensity of fluorescently labeled nuclei in images [24–26].”

    From Senescent cell heterogeneity and responses to senolytic treatment are related to cell cycle status during senescence induction (2025) · cites this paper as [26]

    The Materials and Methods section (Immunostaining and fluorescence microscopy; page unavailable) says the authors stained nuclear DNA with Hoechst 33342 and recorded fluorescence images. It does not say they used nuclear fluorescence intensity to determine DNA content or identify cell-cycle phases. The Results section (Distinct gene expression profiles of SCCs reveal prognostic genes; page unavailable) instead describes assessing ploidy by counting chromosomes in metaphase spreads. (LLM, conf=0.82)

    Experimental — accuracy not yet measured

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Cited by

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Authors
Wu, P.-H., Gilkes, D. M., Phillip, J. M., Narkar, A., Cheng, T. W.-T., Marchand, J., Lee, M.-H., Li, R., & Wirtz, D.
Affiliations
  • Johns Hopkins University (US)
  • Boston University (US)
Corresponding author
  • Wu, Pei-Hsun
  • Wirtz, Denis
ORCID
Venue
Science Advances
Publisher
American Association for the Advancement of Science (AAAS)
Published
2020-01-24
Volume
6
Issue
4
Pages
eaaw6938-eaaw6938
ISSN
2375-2548 (ISSN-L)
DOI
10.1126/sciadv.aaw6938
PMC
PMC6976289
OpenAlex
W3001425747
Cited by
177
References
4
Citations by year
2026: 12 · 2025: 42 · 2024: 35 · 2023: 22 · 2022: 34 · 2021: 23 · 2020: 9
FWCI
7.95
Type
journal article
Language
en
Open access
Licence
cc-by-nc
Locations
  • Science Advances (publishedVersion, cc-by-nc)
  • PubMed Central (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
  • National University of Singapore (submittedVersion, cc-by-nc)
Funders
  • National Cancer Institute (U54CA143868, R01CA174388)
  • National Institute of General Medical Sciences (R35GM118172)
  • National Institute of Neurological Disorders and Stroke (R21NS087485)
  • American Heart Association (12POST12050638)
Topics
  • Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Cell Image Analysis Techniques
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
Keywords
cell morphology, breast cancer, metastasis, single-cell clones, nuclear morphology, tumorigenicity, precision medicine
MeSH terms
Animals, Breast Neoplasms, Female, Humans, Neoplasm Metastasis, Neoplasm Staging, Phenotype, Prognosis, Biomarkers, Tumor, Disease Progression, Gene Expression Profiling, Cell Line, Tumor, Mice, Single-Cell Analysis, Transcriptome

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