Multiple Myeloma Flow Cytometry Panel Validated for Clinical Monitoring of Patients

November 9, 2020

Bevan Gang, Vicky Sgouroudis, Virginia Litwin, and Anita Boyapati

CellCarta’s poster presents a validated flow cytometry panel for the clinical monitoring of multiple myeloma (MM) patients. The MM Counting Panel detects and phenotypes malignant and non-malignant plasma cells, T cells, B cells, monocytes, and NK cells using fluorochrome-conjugated antibodies.

Key Features of the MM Counting Panel:

• Detection and Enumeration: Accurately enumerates immune populations in bone marrow aspirates (BMA) and peripheral blood (PB).
• Phenotyping: Identifies specific MM markers, including BCMA, using a surface marker profile (CD19-CD56+BCMA+).
• Intra- and Inter-assay Precision: Demonstrated high precision with PB samples from both healthy and MM donors, ensuring reliability of results.
• Sample Stability: Maintained stability and met acceptance criteria for key markers across different temperature conditions and time points.
• Clinical Validation: Validated with clinical samples from the NCT03761108 trial, showing different BCMA expression patterns among subjects.
• sBCMA measurement by mass spectrometry can be used as a complementary method for biomarker monitoring.

 

Assay Development and Characterization:

• Sample Collection and Preparation: PB and BMA samples were obtained from healthy and MM donors, processed in Cyto-Chex® blood collection tubes, and analyzed using BD TruCount™ tubes.
• Gating Hierarchy: Established for the identification of malignant plasma cells, with a specific focus on CD45+CD19-CD56+BCMA+ populations.

Conclusion: The MM Counting Panel, validated for clinical use, allows for robust and reliable monitoring of multiple myeloma patients. This comprehensive approach combines flow cytometry and mass spectrometry to enhance the detection of key biomarkers, supporting the development of novel therapies and optimizing treatment outcomes.

Multiple Myeloma Flow Cytometry Panel Validated for Clinical Monitoring of Patients

As presented in SITC 2020

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