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Organoids in ovarian cancer: a platform for disease modeling, precision medicine, and drug assessment.
Hu, Haiyao; Sun, Chong'en; Chen, Jingyao; Li, Zhengyu.
Afiliação
  • Hu H; Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, China.
  • Sun C; Key Laboratory of Obstetrics and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China.
  • Chen J; Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, China.
  • Li Z; Key Laboratory of Obstetrics and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China.
J Cancer Res Clin Oncol ; 150(3): 146, 2024 Mar 20.
Article em En | MEDLINE | ID: mdl-38509422
ABSTRACT
Ovarian cancer (OC) is a major cause of gynecological cancer mortality, necessitating enhanced research. Organoids, cellular clusters grown in 3D model, have emerged as a disruptive paradigm, transcending the limitations inherent to conventional models by faithfully recapitulating key morphological, histological, and genetic attributes. This review undertakes a comprehensive exploration of the potential in organoids derived from murine, healthy population, and patient origins, encompassing a spectrum that spans foundational principles to pioneering applications. Organoids serve as preclinical models, allowing us to predict how patients will respond to treatments and guiding the development of personalized therapies. In the context of evaluating new drugs, organoids act as versatile platforms, enabling thorough testing of innovative combinations and novel agents. Remarkably, organoids mimic the dynamic nature of OC progression, from its initial formation to the spread to other parts of the body, shedding light on intricate details that hold significant importance. By functioning at an individualized level, organoids uncover the complex mechanisms behind drug resistance, revealing strategic opportunities for effective treatments.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas / Ginecologia Limite: Animals / Female / Humans Idioma: En Revista: J Cancer Res Clin Oncol / J. cancer res. clin. oncol / Journal of cancer research and clinical oncology Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas / Ginecologia Limite: Animals / Female / Humans Idioma: En Revista: J Cancer Res Clin Oncol / J. cancer res. clin. oncol / Journal of cancer research and clinical oncology Ano de publicação: 2024 Tipo de documento: Article