A probabilistic approach for the evaluation of minimal residual disease by multiparameter flow cytometry in leukemic B‐cell chronic lymphoproliferative disorders
- 3 October 2008
- journal article
- research article
- Published by Wiley in Cytometry Part A
- Vol. 73A (12), 1141-1150
- https://doi.org/10.1002/cyto.a.20638
Abstract
Multiparameter flow cytometry has become an essential tool for monitoring response to therapy in hematological malignancies, including B‐cell chronic lymphoproliferative disorders (B‐CLPD). However, depending on the expertise of the operator minimal residual disease (MRD) can be misidentified, given that data analysis is based on the definition of expert‐based bidimensional plots, where an operator selects the subpopulations of interest. Here, we propose and evaluate a probabilistic approach based on pattern classification tools and the Bayes theorem, for automated analysis of flow cytometry data from a group of 50 B‐CLPD versus normal peripheral blood B‐cells under MRD conditions, with the aim of reducing operator‐associated subjectivity. The proposed approach provided a tool for MRD detection in B‐CLPD by flow cytometry with a sensitivity of ≤8 × 10−5 (median of ≤2 × 10−7). Furthermore, in 86% of B‐CLPD cases tested, no events corresponding to normal B‐cells were wrongly identified as belonging to the neoplastic B‐cell population at a level of ≤10−7. Thus, this approach based on the search for minimal numbers of neoplastic B‐cells similar to those detected at diagnosis could potentially be applied with both a high sensitivity and specificity to investigate for the presence of MRD in virtually all B‐CLPD. Further studies evaluating its efficiency in larger series of patients, where reactive conditions and non‐neoplastic disorders are also included, are required to confirm these results. © 2008 International Society for Advancement of CytometryKeywords
This publication has 35 references indexed in Scilit:
- Cancer Proliferation Gene Discovery Through Functional GenomicsScience, 2008
- Multiparametric analysis of normal and postchemotherapy bone marrow: Implication for the detection of leukemia‐associated immunophenotypesCytometry Part B: Clinical Cytometry, 2007
- Feature-guided clustering of multi-dimensional flow cytometry datasetsJournal of Biomedical Informatics, 2007
- 2006 Bethesda International Consensus recommendations on the flow cytometric immunophenotypic analysis of hematolymphoid neoplasia: Medical indicationsCytometry Part B: Clinical Cytometry, 2007
- Data Standards for Flow CytometryOMICS: A Journal of Integrative Biology, 2006
- Report on the second Latin American consensus conference for flow cytometric immunophenotyping of hematological malignanciesCytometry Part B: Clinical Cytometry, 2005
- Seventeen-colour flow cytometry: unravelling the immune systemNature Reviews Immunology, 2004
- Minimal residual disease in leukaemia patientsThe Lancet Oncology, 2001
- Large Cell Lymphoma Transformation of Chronic Lymphocytic Leukemia/Small Lymphocytic LymphomaAmerican Journal of Clinical Pathology, 2001
- Rapid multivariate analysis and display of cross‐reacting antibodies on human leukocytesCytometry, 1992