Critical Pitfalls in the Flow Cytometric Analysis of Mast Cells in Patients With Systemic Mastocytosis

ABSTRACT Systemic mastocytosis (SM) is a neoplastic disease characterized by abnormal mast cell (MC) activation and proliferation. Accurate diagnosis often relies on flow cytometry to detect aberrant CD25, CD2, and CD30 expression on MCs in bone marrow (BM). However, the frequently low abundance of MCs in BM, lack of completely specific antigens, and strong and highly variable autofluorescence can cause misinterpretation and lead to diagnostic misclassifications. We investigated the potentially interfering cell populations in flow cytometric analysis of MCs based on literature and expert insights, focusing on CD117, CD45, CD203c, and FcεR1. Additionally, we determined the most appropriate approach to quantify aberrant CD25, CD2, and CD30 expression. Apoptotic granulocytes frequently cause misinterpretation by mimicking strong CD117 and aberrant CD25, CD2, and CD30 expression, and must be distinguished from MCs with a viability dye like DRAQ7. CD117‐positive myeloblasts and promyelocytes overlap with CD117‐reduced immature MCs in advanced SM disease and can be differentiated using CD203c. Quantifying CD25, CD2, and CD30 expression is skewed on log‐transformed scales due to the strong and highly heterogeneous autofluorescence of MCs. Linear calculation of net expression levels of CD25, CD2, and CD30 yields the highest accuracies in predicting SM with a Youden index of 0.96, 0.93, and 0.88, respectively. Incorporating a viability dye like DRAQ7 and CD203c into the flow cytometric analysis for MC identification, along with the linear quantification of aberrant expression, significantly enhances the correct identification of MCs and increases the diagnostic accuracy of aberrant CD25, CD2, and CD30 expression for SM.