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High-sensitivity flow cytometric assays: Considerations for design control and analytical validation for identification of Rare events.
Sommer, Ulrike; Eck, Steven; Marszalek, Laura; Stewart, Jennifer J; Bradford, Jolene; McCloskey, Thomas W; Green, Cherie; Vitaliti, Alessandra; Oldaker, Teri; Litwin, Virginia.
Affiliation
  • Sommer U; Novartis Institutes of Biomedical Research, Novartis Pharma AG, Basel, Switzerland.
  • Eck S; Integrated Bioanalysis, Clinical Pharmacology and Safety Sciences, R&D, AstraZeneca, Gaithersburg, USA.
  • Marszalek L; Northwestern Memorial Hospital, Chicago, Illinois, USA.
  • Stewart JJ; Flow Contract Site Laboratory, Bothell, Washington, USA.
  • Bradford J; Thermo Fisher Scientific, Eugene, Oregon, USA.
  • McCloskey TW; ICON Laboratory Services, Farmingdale, New York, USA.
  • Green C; A Member of Roche Group, Development Sciences Department, Genentech, Inc., South San Francisco, California, USA.
  • Vitaliti A; Novartis Institutes of Biomedical Research, Novartis Pharma AG, Basel, Switzerland.
  • Oldaker T; Oldaker Consulting, San Clemente, California, USA.
  • Litwin V; Caprion Biosciences, Montreal, Quebec, Canada.
Cytometry B Clin Cytom ; 100(1): 42-51, 2021 01.
Article in En | MEDLINE | ID: mdl-32940947
ABSTRACT
The current consensus recommendation papers dealing with the unique requirements for the analytical validation of assays performed by flow cytometry address the validation of sensitivity (both analytical and functional) only in general terms. In this paper, a detailed approach for designing and validating the sensitivity of rare event methods is described. The impact of panel design and optimization on the lower limit of quantification (LLOQ) and suggestions for reporting data near, or below, the LLOQ are addressed. This paper serves to provide best practices for the development, optimization, and analytical validation of flow cytometric assays designed to assess rare events. Note that this paper does not discuss clinical sensitivity validation, which addresses the positive and negative predictive value of the test result.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Flow Cytometry Type of study: Diagnostic_studies / Guideline Limits: Humans Language: En Journal: Cytometry B Clin Cytom Year: 2021 Type: Article Affiliation country: Switzerland

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Flow Cytometry Type of study: Diagnostic_studies / Guideline Limits: Humans Language: En Journal: Cytometry B Clin Cytom Year: 2021 Type: Article Affiliation country: Switzerland