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Analytical and diagnostic validation of a flow cytometric strategy to quantify blood and marrow infiltration in dogs with large B‐cell lymphoma
Author(s) -
Riondato Fulvio,
Miniscalco Barbara,
Poggi Alessia,
Aricò Arianna,
Aresu Luca,
Comazzi Stefano,
Martini Valeria
Publication year - 2016
Publication title -
cytometry part b: clinical cytometry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.646
H-Index - 61
eISSN - 1552-4957
pISSN - 1552-4949
DOI - 10.1002/cyto.b.21353
Subject(s) - bone marrow , immunophenotyping , serial dilution , lymphoma , cutoff , canine lymphoma , medicine , infiltration (hvac) , nuclear medicine , lymph node , flow cytometry , pathology , b cell , cut off , local lymph node assay , immunology , materials science , antibody , physics , alternative medicine , skin sensitization , quantum mechanics , sensitization , composite material , power (physics)
Background Lymph node (LN), peripheral blood (PB), and bone marrow (BM) samples are commonly analyzed by flow cytometry (FC) for the immunophenotyping and staging of canine lymphomas. A prognostic value for FC BM infiltration in dogs with large B‐cell lymphoma (LBCL) was demonstrated. Aim of this study was to define the analytical performances of this technique, and to establish a cutoff suitable to safely discriminate between infiltrated and noninfiltrated PB and BM samples. Methods Large B‐cells were added to control PB and BM samples, to achieve twelve different large B‐cells concentrations, ranging from 0 to 50%. The percentage of large B‐cells was recorded for each dilution, using a BD Accuri C6 FC. Accuracy was evaluated by Passing‐Bablok regression analysis. Intra‐assay precision was assessed at 0%, 1, 3, and 10% dilutions evaluating the CVs of 10 repeated acquisitions. ROC curves were drawn to identify the cutoffs most suitable to discriminate between 25 infiltrated (PARR‐positive) and 25 noninfiltrated (PARR‐negative) PB and BM samples, respectively. Results Optimal analytical accuracy and precision were achieved. Almost all CVs were <10%. Negative controls had up to 0.5% large B‐cells, with 50 and 22% CV in PB and BM samples, respectively, 0.56 and 2.45% cutoffs were selected based on the ROC curves for PB and BM samples, respectively. Conclusions Quantification of large B‐cells in PB and BM samples by FC is reliable and analytical performances met the acceptance criteria. Assessment of performances of different instruments and protocols is warranted. © 2016 International Clinical Cytometry Society