Decoding the Role of MDSCs in Bone Metastasis: Multicellular Interactions and Clinical Implications

Bone metastasis remains a major cause of morbidity in advanced cancer, driven not only by tumor–bone crosstalk but also by profound immune remodeling within the marrow. Myeloid-derived suppressor cells (MDSCs), including polymorphonuclear (PMN-MDSC) and monocytic (M-MDSC) subsets, are increasingly recognized as central effectors of this process, integrating inflammatory signals with metabolic and stromal cues to enforce immune suppression and support skeletal colonization. In this review, we synthesize current evidence that bone metastases transform the bone marrow into an “MDSC amplifier,” where vascular and endosteal niches, CXCL12-rich stromal compartments, hypoxia, and adipocyte-derived lipids collectively promote MDSC recruitment, persistence, and functional maturation. We discuss the dominant suppressive programs deployed by MDSCs in bone (e.g., arginase-1 activity, reactive oxygen/nitrogen species, and checkpoint ligand expression), and how these mechanisms converge to impair cytotoxic T-cell and NK-cell responses while fostering regulatory T-cell dominance. Importantly, because the marrow is a hematopoietic organ, bone lesions can also generate systemic consequences through myeloid spillover, providing a mechanistic basis for reduced responsiveness to immune checkpoint blockade in bone-dominant disease. We then evaluate pharmacologic strategies to target MDSCs in the context of bone metastasis, including approaches that block trafficking (e.g., CCR2/CXCR2 axes), deplete or reprogram suppressive myeloid states (e.g., STAT3-directed strategies, differentiation therapy), and disrupt bone-resorptive feedback loops (e.g., receptor activator of NF-κB ligand (RANKL) inhibition and bisphosphonates), emphasizing rational combinations and sequencing to limit marrow toxicity. Finally, we highlight emerging single-cell and spatial profiling tools that can resolve bone-specific heterogeneity in MDSCs and guide biomarker-driven, mechanism-informed therapeutic development.