Flow Cytometry Algorithm Identifies MGUS-like Phenotype

Some patients with multiple myeloma (MM) and light-chain amyloidosis (AL) have been hypothesized to have MGUS-like phenotype, which carries the implication of having a unique clinical profile. However, there are no well-defined and validated tools for identifying these patients.

Burgos and colleagues analyzed flow cytometry data from 5,114 patients with monoclonal gammopathies and developed an algorithm to classify patients at diagnosis with MGUS-like phenotype based on the frequency of bone marrow (BM) plasma cells (PC) and the percentages of normal and clonal PC within the BM PC compartment.

This algorithm was validated in the study and can be installed into clinical flow cytometry software.