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dc.contributor.authorStarostka, David
dc.contributor.authorKriegová, Eva
dc.contributor.authorKudělka, Miloš
dc.contributor.authorMikula, Peter
dc.contributor.authorZehnalová, Šárka
dc.contributor.authorRadvanský, Martin
dc.contributor.authorPapajík, Tomáš
dc.contributor.authorKoláček, David
dc.contributor.authorChasaková, Kateřina
dc.contributor.authorTalianová, Hana
dc.date.accessioned2018-08-29T12:19:35Z
dc.date.available2018-08-29T12:19:35Z
dc.date.issued2018
dc.identifier.citationCytometry Part B-Clinical Cytometry. 2018, vol. 94, issue 4, p. 576-587.cs
dc.identifier.issn1552-4949
dc.identifier.issn1552-4957
dc.identifier.urihttp://hdl.handle.net/10084/131391
dc.description.abstractBackground The data on the clinical utility of the quantitative assessment of immunophenotypes in distinguishing mature CD5-positive B-cell neoplasms is limited. The study aim was to assess the diagnostic value of the quantitative assessment of a panel of 18 markers and to identify the most informative ones. Methods The immunophenotype of the neoplastic population was determined in diagnostic specimens from 188 patients. BD FACSCanto II flow cytometer and FACSDiva software were used to analyze the positivity/negativity and mean fluorescence intensity (MFI) of the surface expression of 18 markers. Advanced data mining methods were used to define the key differential diagnostic features of CLL/SLL (chronic lymphocytic leukemia/small lymphocytic lymphoma), MCL (mantle cell lymphoma), and CD5+ MZL (marginal zone lymphoma). Results The most informative markers for the distinction of CLL/SLL, MCL, CD5+ MZL, including atypical cases, were the MFI values of CD79b, CD20, CD23, CD43, CD38, CD11c, FMC7, CD200, kappa light chain, and their combinations. CD23 and CD200 were the most discriminant between CLL/SLL and MCL and CD23 plus CD79b between CLL/SLL and CD5+ MZL. The quantitative analysis of the most informative markers failed to accurately distinguish MCL and CD5+ MZL. The study highlights the data mining methods for the analysis and selection of the most informative immunophenotypic markers and for the design of a predictive model (diagnostic classifier), minimizing the subjectivity of expert-based assessment. Conclusions Our data confirmed that the quantification of the expression of informative markers increases the diagnostic value of immunophenotyping in mature CD5+ B-cell neoplasms.cs
dc.language.isoencs
dc.publisherWileycs
dc.relation.ispartofseriesCytometry Part B - Clinical Cytometrycs
dc.relation.urihttp://doi.org/10.1002/cyto.b.21607cs
dc.rights© 2017 International Clinical Cytometry Societycs
dc.subjectflow cytometrycs
dc.subjectB-cellscs
dc.subjectimmunophenotypingcs
dc.subjectlymphomacs
dc.subjectleukemiacs
dc.titleQuantitative assessment of informative immunophenotypic markers increases the diagnostic value of immunophenotyping in mature CD5-positive B-cell neoplasmscs
dc.typearticlecs
dc.identifier.doi10.1002/cyto.b.21607
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume94cs
dc.description.issue4cs
dc.description.lastpage587cs
dc.description.firstpage576cs
dc.identifier.wos000441433900004


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