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
País de afiliación
Intervalo de año de publicación
1.
Br J Cancer ; 123(10): 1562-1569, 2020 11.
Artículo en Inglés | MEDLINE | ID: mdl-32848201

RESUMEN

BACKGROUND: Tumour hypoxia is associated with metastatic disease, and while there have been many mechanisms proposed for why tumour hypoxia is associated with metastatic disease, it remains unclear whether one precise mechanism is the key reason or several in concert. Somatic evolution drives cancer progression and treatment resistance, fuelled not only by genetic and epigenetic mutation but also by selection from interactions between tumour cells, normal cells and physical micro-environment. Ecological habitats influence evolutionary dynamics, but the impact on tempo of evolution is less clear. METHODS: We explored this complex dialogue with a combined clinical-theoretical approach by simulating a proliferative hierarchy under heterogeneous oxygen availability with an agent-based model. Predictions were compared against histology samples taken from glioblastoma patients, stained to elucidate areas of necrosis and TP53 expression heterogeneity. RESULTS: Results indicate that cell division in hypoxic environments is effectively upregulated, with low-oxygen niches providing avenues for tumour cells to spread. Analysis of human data indicates that cell division is not decreased under hypoxia, consistent with our results. CONCLUSIONS: Our results suggest that hypoxia could be a crucible that effectively warps evolutionary velocity, making key mutations more likely. Thus, key tumour ecological niches such as hypoxic regions may alter the evolutionary tempo, driving mutations fuelling tumour heterogeneity.


Asunto(s)
Neoplasias Encefálicas/genética , Neoplasias Encefálicas/patología , Evolución Clonal/fisiología , Glioblastoma/genética , Glioblastoma/patología , Hipoxia Tumoral/fisiología , Algoritmos , Neoplasias Encefálicas/metabolismo , Hipoxia de la Célula/fisiología , Línea Celular Tumoral , Proliferación Celular/genética , Biología Computacional/métodos , Progresión de la Enfermedad , Glioblastoma/metabolismo , Secuenciación de Nucleótidos de Alto Rendimiento/métodos , Secuenciación de Nucleótidos de Alto Rendimiento/estadística & datos numéricos , Humanos , Procesamiento de Imagen Asistido por Computador/métodos , Procesamiento de Imagen Asistido por Computador/estadística & datos numéricos , Modelos Teóricos , Metástasis de la Neoplasia , Células Madre Neoplásicas/metabolismo , Células Madre Neoplásicas/patología , Oxígeno/metabolismo , Factores de Tiempo
SELECCIÓN DE REFERENCIAS
DETALLE DE LA BÚSQUEDA