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A Precision Oncology Platform to Support Genotype-Tailored Therapy Selection.
Botsis, Taxiarchis; Spiker, Jonathan; Kreimeyer, Kory; Fatteh, Maria; Wehr, Jamie; Najjar, Mimi; Tao, Jessica; Xian, Rena; Imamovic, Nicole L; Pindzola, Ander; Dobs, Adrian; Canzoniero, Jenna; Anagnostou, Valsamo.
Afiliação
  • Botsis T; Department of Oncology, Johns Hopkins School of Medicine, Baltimore, MD, USA.
  • Spiker J; Department of Oncology, Johns Hopkins School of Medicine, Baltimore, MD, USA.
  • Kreimeyer K; Department of Oncology, Johns Hopkins School of Medicine, Baltimore, MD, USA.
  • Fatteh M; Department of Oncology, Johns Hopkins School of Medicine, Baltimore, MD, USA.
  • Wehr J; The Johns Hopkins Molecular Tumor Board, Baltimore, MD, USA.
  • Najjar M; Department of Oncology, Johns Hopkins School of Medicine, Baltimore, MD, USA.
  • Tao J; The Johns Hopkins Molecular Tumor Board, Baltimore, MD, USA.
  • Xian R; Department of Oncology, Johns Hopkins School of Medicine, Baltimore, MD, USA.
  • Imamovic NL; The Johns Hopkins Molecular Tumor Board, Baltimore, MD, USA.
  • Pindzola A; Department of Oncology, Johns Hopkins School of Medicine, Baltimore, MD, USA.
  • Dobs A; The Johns Hopkins Molecular Tumor Board, Baltimore, MD, USA.
  • Canzoniero J; Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD, USA.
  • Anagnostou V; Johns Hopkins Clinical Research Network, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Stud Health Technol Inform ; 316: 1854-1855, 2024 Aug 22.
Article em En | MEDLINE | ID: mdl-39176852
ABSTRACT
There is a critical need for a streamlined process to identify genotype-matched individuals eligible for enrollment into clinical trials and/or targeted therapies, as current methodologies face challenges in integrating diverse molecular data sources. We have developed a precision oncology platform to assist molecular tumor boards and community oncologists in reviewing patients' phenotypes, evaluating related knowledge, and identifying genotype-matched therapies.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Medicina de Precisão / Neoplasias Limite: Humans Idioma: En Revista: Stud Health Technol Inform Assunto da revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Medicina de Precisão / Neoplasias Limite: Humans Idioma: En Revista: Stud Health Technol Inform Assunto da revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos