The value of monitoring to control evolving populations.
Proc Natl Acad Sci U S A
; 112(4): 1007-12, 2015 Jan 27.
Article
em En
| MEDLINE
| ID: mdl-25587136
ABSTRACT
Populations can evolve to adapt to external changes. The capacity to evolve and adapt makes successful treatment of infectious diseases and cancer difficult. Indeed, therapy resistance has become a key challenge for global health. Therefore, ideas of how to control evolving populations to overcome this threat are valuable. Here we use the mathematical concepts of stochastic optimal control to study what is needed to control evolving populations. Following established routes to calculate control strategies, we first study how a polymorphism can be maintained in a finite population by adaptively tuning selection. We then introduce a minimal model of drug resistance in a stochastically evolving cancer cell population and compute adaptive therapies. When decisions are in this manner based on monitoring the response of the tumor, this can outperform established therapy paradigms. For both case studies, we demonstrate the importance of high-resolution monitoring of the target population to achieve a given control objective, thus quantifying the intuition that to control, one must monitor.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Contexto em Saúde:
1_ASSA2030
/
2_ODS3
Problema de saúde:
1_doencas_nao_transmissiveis
/
2_cobertura_universal
/
2_muertes_prematuras_enfermedades_notrasmisibles
Assunto principal:
Resistencia a Medicamentos Antineoplásicos
/
Modelos Biológicos
/
Neoplasias
Tipo de estudo:
Prognostic_studies
Limite:
Humans
Idioma:
En
Revista:
Proc Natl Acad Sci U S A
Ano de publicação:
2015
Tipo de documento:
Article