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Preclinical models for drug discovery for metastatic disease.
Wakefield, Lalage; Agarwal, Seema; Tanner, Kandice.
Afiliação
  • Wakefield L; Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA. Electronic address: lw34g@nih.gov.
  • Agarwal S; Department of Pathology, Center for Cell Reprogramming, Georgetown University Medical Center, Washington, DC 20007, USA. Electronic address: sa1137@georgetown.edu.
  • Tanner K; Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA. Electronic address: kandice.tanner@nih.gov.
Cell ; 186(8): 1792-1813, 2023 04 13.
Article em En | MEDLINE | ID: mdl-37059072
ABSTRACT
Despite many advances, metastatic disease remains essentially uncurable. Thus, there is an urgent need to better understand mechanisms that promote metastasis, drive tumor evolution, and underlie innate and acquired drug resistance. Sophisticated preclinical models that recapitulate the complex tumor ecosystem are key to this process. We begin with syngeneic and patient-derived mouse models that are the backbone of most preclinical studies. Second, we present some unique advantages of fish and fly models. Third, we consider the strengths of 3D culture models for resolving remaining knowledge gaps. Finally, we provide vignettes on multiplexed technologies to advance our understanding of metastatic disease.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Descoberta de Drogas / Neoplasias Limite: Animals Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Descoberta de Drogas / Neoplasias Limite: Animals Idioma: En Ano de publicação: 2023 Tipo de documento: Article