Single-cell morphology encodes metastatic potential.
Sci Adv
; 6(4): eaaw6938, 2020 01.
Article
em En
| MEDLINE
| ID: mdl-32010778
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.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Neoplasias da Mama
/
Análise de Célula Única
Tipo de estudo:
Etiology_studies
/
Prognostic_studies
Limite:
Animals
/
Female
/
Humans
Idioma:
En
Revista:
Sci Adv
Ano de publicação:
2020
Tipo de documento:
Article
País de afiliação:
Estados Unidos