ArticleScience advances2020
Single-cell morphology encodes metastatic potential.
Article in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 121 papers.
What it found
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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
121 citing papers in PubMed, 206 citations in OpenAlex.
- GLOBAL ANALYSIS OF PROTRUSION-TRANCSRIPTOMES IDENTIFIES DISTINCT CATEGORIES OF LOCALIZED RNAS IN NON-NEURONAL CELLS.bioRxiv : the preprint server for biology · 2026Article
- Data modeling the interplay between single-cell shape, single-cell protein expression, and tissue state.Cell reports methods · 2026Article
- Scalable 3D cell-interaction analysis via supercell graphs for prostate cancer risk stratification.bioRxiv : the preprint server for biology · 2026Article
- Maximum Matching Accuracy: An Instance Segmentation Evaluation Metric Utilizing Globally Optimal Matching.ArXiv · 2026Article
- Colloid-patterned surfaces distinguish malignant mechanophenotypes.Materials today. Bio · 2026Article
- Sp1 mechanotransduction regulates breast cancer cell invasion in engineered viscoelastic extracellular matrices.Biomaterials · 2026Article
- Accelerated discovery of cell migration regulators using label-free deep learning-based automated tracking.Science advances · 2026Article
- Profiling extracellular matrix-driven heterogeneity of single cell migration and morphology.Scientific reports · 2026Article
- iCLAP: an innovative method for integrable co-detection of low-abundance antigens with high-plex immunostaining.Nature communications · 2026Article
- Senescence-Linked Fibrosis in the Aging Human Ovary Revealed by p16-Based Histological Profiling and Spatial Transcriptomics.Research square · 2026Article
- Quantifying the Single-Cell Morphological Landscape of Cellular Transdifferentiation through Force Field Reconstruction.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Self-Organizing Ovarian Somatic Organoids Preserve Cellular Heterogeneity and Reveal Cellular Contributions to Ovarian Aging.Aging cell · 2026Article
- Methods to analyze cell migration data: fundamentals and practical guidelines.Nature methods · 2026Review
- Mechanomedicine: Translating mechanical forces into therapeutic strategies.APL bioengineering · 2025Article
- Integrated spatial morpho-transcriptomics predicts functional traits in pancreatic cancer.Science advances · 2025Article
- Cytoplasmic anillin and Ect2 promote RhoA/myosin II-dependent confined migration and invasion.Nature materials · 2025Article
- Cells prioritize the regulation of cell mass density.Science advances · 2025Article
- Article
- Clustering cell nuclei on microgrooves for disease diagnosis using deep learning.Scientific reports · 2025Article
- Deep learning identifies heterogeneous subpopulations in breast cancer cell lines.npj biomedical innovations · 2025Article
61 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 2 countries.
Funding
Abstract
A central goal of precision medicine is to predict disease outcomes and design treatments based on multidimensional information from afflicted cells and tissues. Cell morphology is an emergent readout of the molecular underpinnings of a cell's functions and, thus, can be used as a method to define the functional state of an individual cell. We measured 216 features derived from cell and nucleus morphology for more than 30,000 breast cancer cells. We find that single cell-derived clones (SCCs) established from the same parental cells exhibit distinct and heritable morphological traits associated with genomic (ploidy) and transcriptomic phenotypes. Using unsupervised clustering analysis, we find that the morphological classes of SCCs predict distinct tumorigenic and metastatic potentials in vivo using multiple mouse models of breast cancer. These findings lay the groundwork for using quantitative morpho-profiling in vitro as a potentially convenient and economical method for phenotyping function in cancer in vivo.
Indexed as
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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.