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Modeling leukemia with zebrafish (Danio rerio): Towards precision medicine.
Yi, Zhen-Ni; Chen, Xiang-Ke; Ma, Alvin Chun-Hang.
Afiliação
  • Yi ZN; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China.
  • Chen XK; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China.
  • Ma AC; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China. Electronic address: alvin.ma@polyu.edu.hk.
Exp Cell Res ; 421(2): 113401, 2022 12 15.
Article em En | MEDLINE | ID: mdl-36306826
Leukemia is a type of blood cancer characterized by high genetic heterogeneity and fatality. While chemotherapy remains the primary form of treatment for leukemia, its effectiveness was profoundly diminished by the genetic heterogeneity and cytogenetic abnormalities of leukemic cells. Therefore, there is an unmet need to develop precision medicine for leukemia with distinct genetic backgrounds. Zebrafish (Danio rerio), a freshwater fish with exceptional feasibility in genome editing, is a powerful tool for rapid human cancer modeling. In the past decades, zebrafish have been adopted in modeling human leukemia, exploring the molecular mechanisms of underlying genetic abnormalities, and discovering novel therapeutic agents. Although many recurrent mutations of leukemia have been modeled in zebrafish for pathological study and drug discovery, its great potential in leukemia modeling was not yet fully exploited, particularly in precision medicine. In this review, we evaluated the current zebrafish models of leukemia/pre-leukemia and genetic techniques and discussed the potential of zebrafish models with novel techniques, which may contribute to the development of zebrafish as a disease model for precision medicine in treating leukemia.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Leucemia / Neoplasias Idioma: En Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Leucemia / Neoplasias Idioma: En Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China