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Updated: Sep 11, 2025

Database-guided Flow-cytometry for Evaluation of Bone Marrow Myeloid Cell Maturation
Published on: November 3, 2018
CyTOF profiling of bone marrow immune dynamics across myeloma stages
Dana Cholujova1, Gabor Beke2, Lubos Klucar2
1Department of Tumor Immunology, Cancer Research Institute, Biomedical Research Center, Slovak Academy of Sciences, Bratislava, Slovakia.
Insights
Multiple myeloma disrupts immune balance in the bone marrow. Mass cytometry revealed immune cell changes across disease stages, impacting survival and offering targets for immunotherapy.
Area of Science:
- Immunology
- Oncology
- Biotechnology
Background:
- Multiple myeloma (MM) significantly alters the bone marrow (BM) immune microenvironment.
- Understanding these immune dynamics is crucial for MM progression and treatment resistance.
Purpose of the Study:
- To comprehensively characterize the BM immune landscape across different MM stages using mass cytometry (CyTOF).
- To identify immune profiles associated with clinical outcomes and disease progression.
Main Methods:
- High-dimensional mass cytometry (CyTOF) profiling of BM samples.
- Analysis of immune cell populations in MGUS, smoldering MM, and active MM (newly diagnosed and relapsed/refractory).
- Correspondence analysis to correlate immune profiles with clinical outcomes.
Main Results:
- Immune remodeling observed across MM progression, with adaptive immune suppression and innate immune infiltration.
- Distinct alterations in T helper cells, cytotoxic T cells, monocytes, and neutrophils from MGUS to SMM.
- Active MM shows expanded myeloid/monocytic lineages and reduced B cell populations.
- Specific immune profiles correlated significantly with progression-free and overall survival.
Conclusions:
- CyTOF profiling effectively reveals intricate BM immune dynamics in MM.
- Identified immune signatures provide a foundation for prognostic biomarkers.
- Findings support the development of tailored precision immunotherapeutic strategies for MM.
Abstract:
Multiple myeloma (MM) orchestrates a profound disruption of immune balance within the bone marrow (BM) microenvironment, driving disease progression and therapeutic resistance. To better understand these complex immune dynamics, we used high-dimensional mass cytometry (CyTOF) profiling to comprehensively characterize the immune landscape of the BM across different stages of myeloma progression, including MGUS (n = 16), smoldering MM (SMM; n = 25), and active MM, both newly diagnosed (n = 43) and relapsed/refractory (n = 104). Our analysis revealed substantial immune remodeling during disease progression, characterized by adaptive immune suppression and extensive infiltration of innate immune populations. Transformation from MGUS to SMM was marked by significant alterations in central and effector memory T helper cells, effector cytotoxic T cells, and an enrichment of monocytic and neutrophil subsets. Active MM stages were further distinguished by increased expansion of myeloid and monocytic lineages, alongside a pronounced reduction in progenitor and transitional B cells. Correspondence analysis demonstrated that specific immune profiles were significantly associated with clinical outcomes, including progression-free survival and overall survival. This study highlights the potential of CyTOF-based molecular profiling to unravel the intricate immune dynamics of the BM microenvironment across MM disease stages, enhancing our understanding of MM pathogenesis and providing a foundation for identifying prognostic biomarkers and tailoring precision immunotherapeutic strategies.
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