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Opportunities and Challenges in Implementation of Multiparameter Single Cell Analysis Platforms for Clinical Translation.
Keating, Susan M; Taylor, D Lansing; Plant, Anne L; Litwack, E David; Kuhn, Peter; Greenspan, Emily J; Hartshorn, Christopher M; Sigman, Caroline C; Kelloff, Gary J; Chang, David D; Friberg, Gregory; Lee, Jerry S H; Kuida, Keisuke.
Afiliación
  • Keating SM; CCS Associates, San Jose, California, USA.
  • Taylor DL; University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
  • Plant AL; Biosystems and Biomaterials Division Materials Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, Maryland, USA.
  • Litwack ED; Office of In Vitro Diagnostics and Radiological Health, Center for Devices and Radiological Health, Food and Drug Administration, Silver Spring, Maryland, USA.
  • Kuhn P; University of Southern California, Los Angeles, California, USA.
  • Greenspan EJ; Center for Strategic Scientific Initiatives, National Cancer Institute, Bethesda, Maryland, USA.
  • Hartshorn CM; National Cancer Institute, Bethesda, Maryland, USA.
  • Sigman CC; CCS Associates, San Jose, California, USA.
  • Kelloff GJ; National Cancer Institute, Bethesda, Maryland, USA.
  • Chang DD; Kite Pharma, Inc., Santa Monica, California, USA.
  • Friberg G; Amgen, Thousand Oaks, California, USA.
  • Lee JSH; Center for Strategic Scientific Initiatives, National Cancer Institute, Bethesda, Maryland, USA.
  • Kuida K; Deciphera Pharmaceuticals, LLC, Waltham, Massachusetts, USA.
Clin Transl Sci ; 11(3): 267-276, 2018 05.
Article en En | MEDLINE | ID: mdl-29498218
The high-content interrogation of single cells with platforms optimized for the multiparameter characterization of cells in liquid and solid biopsy samples can enable characterization of heterogeneous populations of cells ex vivo. Doing so will advance the diagnosis, prognosis, and treatment of cancer and other diseases. However, it is important to understand the unique issues in resolving heterogeneity and variability at the single cell level before navigating the validation and regulatory requirements in order for these technologies to impact patient care. Since 2013, leading experts representing industry, academia, and government have been brought together as part of the Foundation for the National Institutes of Health (FNIH) Biomarkers Consortium to foster the potential of high-content data integration for clinical translation.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Investigación Biomédica Traslacional / Análisis de la Célula Individual / Implementación de Plan de Salud / Neoplasias Tipo de estudio: Prognostic_studies / Sysrev_observational_studies Aspecto: Implementation_research Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Clin Transl Sci Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Investigación Biomédica Traslacional / Análisis de la Célula Individual / Implementación de Plan de Salud / Neoplasias Tipo de estudio: Prognostic_studies / Sysrev_observational_studies Aspecto: Implementation_research Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Clin Transl Sci Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos