What question did this study set out to answer?

To investigate the immunophenotypic profile of multiple myeloma using flow cytometry and computational analysis.

December 8, 2025BloodOpen Access

Computational immunophenotypic profiling of multiple myeloma by flow cytometry and bioinformatics integration

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Analysis reveals immunophenotypic differences in plasma cell dyscrasias, suggesting the utility of flow cytometry and precision medicine.

To investigate the immunophenotypic profile of multiple myeloma using flow cytometry and computational analysis.
Analyzed multiparameter flow cytometry data from 145 patients with multiple myeloma or inconclusive diagnoses.
Utilized R for data preprocessing, compensation, and plasma cell gating techniques.
Employed FlowSOM to identify cell clusters and statistical tests for immunophenotypic comparisons.
Confirmed increased plasma cell populations in multiple myeloma cases.
Identified significant variability in median fluorescence intensity for key markers, indicating maturation defects.
Correlation analysis showed important relationships between aberrant markers and standard antigens.

Martins et al. (2025) studied this question.

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