Multiparameter computational modeling of tumor invasion.
Cancer Res
; 69(10): 4493-501, 2009 May 15.
Article
em En
| MEDLINE
| ID: mdl-19366801
ABSTRACT
Clinical outcome prognostication in oncology is a guiding principle in therapeutic choice. A wealth of qualitative empirical evidence links disease progression with tumor morphology, histopathology, invasion, and associated molecular phenomena. However, the quantitative contribution of each of the known parameters in this progression remains elusive. Mathematical modeling can provide the capability to quantify the connection between variables governing growth, prognosis, and treatment outcome. By quantifying the link between the tumor boundary morphology and the invasive phenotype, this work provides a quantitative tool for the study of tumor progression and diagnostic/prognostic applications. This establishes a framework for monitoring system perturbation towards development of therapeutic strategies and correlation to clinical outcome for prognosis.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Neoplasias Encefálicas
/
Glioblastoma
/
Modelos Teóricos
/
Invasividade Neoplásica
/
Neoplasias
Tipo de estudo:
Prognostic_studies
/
Qualitative_research
Limite:
Humans
Idioma:
En
Revista:
Cancer Res
Ano de publicação:
2009
Tipo de documento:
Article
País de afiliação:
Estados Unidos