The role of CD19 and CD27 in the diagnosis of multiple myeloma by flow cytometry: A new statistical model

Abstract

We have developed a new statistical diagnostic model that examines the correlation between immunophenotype and clonality as detected by flow cytometry (FC) and histology, defining the diagnostic role of FC in multiple myeloma (MM). The 192 bone marrow samples from patients and control subjects were studied for routine diagnostic analysis of MM; a minimum of 100 plasma cells (PCs) were analyzed for each patient sample. A direct 7- or 8-color method was applied to study the immunophenotype of PCs, utilizing a FACSCanto II (BD Biosciences, San Jose, CA). Samples were labeled with fluorochromeconjugated monoclonal antibodies (AmCyan, Pac Blue, fluorescein isothiocyanate, phycoerythrin [PE], PECy7, peridinin-chlorophyll protein, allophycocyanin [APC], and APC-Cy7) to the following antigens: CD138, CD81, CD200, CD221, CD45, CD38, CD28, CD19, CD27, CD117, CD38, CD33, CD20, CD56, CD10, and immunoglobulin Κ and λ light chains. Among all antigens tested, CD19 and CD27, when applied to our model, resulted in optimal concordance with histology. This model defines the effective diagnostic role FC could have in MM and in the detection of minimal residual disease. Copyright© by the American Society for Clinical Pathology.