Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 1 de 1
Filtrar
Más filtros

Banco de datos
Tipo de estudio
Tipo del documento
Intervalo de año de publicación
1.
Biophys J ; 107(11): 2546-58, 2014 Dec 02.
Artículo en Inglés | MEDLINE | ID: mdl-25468334

RESUMEN

Patients with mammographically dense breast tissue have a greatly increased risk of developing breast cancer. Dense breast tissue contains more stromal collagen, which contributes to increased matrix stiffness and alters normal cellular responses. Stromal collagen within and surrounding mammary tumors is frequently aligned and reoriented perpendicular to the tumor boundary. We have shown that aligned collagen predicts poor outcome in breast cancer patients, and postulate this is because it facilitates invasion by providing tracks on which cells migrate out of the tumor. However, the mechanisms by which alignment may promote migration are not understood. Here, we investigated the contribution of matrix stiffness and alignment to cell migration speed and persistence. Mechanical measurements of the stiffness of collagen matrices with varying density and alignment were compared with the results of a 3D microchannel alignment assay to quantify cell migration. We further interpreted the experimental results using a computational model of cell migration. We find that collagen alignment confers an increase in stiffness, but does not increase the speed of migrating cells. Instead, alignment enhances the efficiency of migration by increasing directional persistence and restricting protrusions along aligned fibers, resulting in a greater distance traveled. These results suggest that matrix topography, rather than stiffness, is the dominant feature by which an aligned matrix can enhance invasion through 3D collagen matrices.


Asunto(s)
Neoplasias de la Mama/metabolismo , Neoplasias de la Mama/patología , Colágeno/metabolismo , Línea Celular Tumoral , Movimiento Celular , Matriz Extracelular/metabolismo , Femenino , Geles , Humanos , Modelos Biológicos
SELECCIÓN DE REFERENCIAS
DETALLE DE LA BÚSQUEDA