Ingrid Aass Roseth, Lukas Hatscher, Chiara Schiller, Håkon Skjalg Selland Johnstuen, Tobias S Slørdahl, Håkon Hov, Denis Schapiro, Therese Standal
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引用次数: 0
Abstract
Multiple myeloma is a plasma cell (PC) cancer that depends on the bone marrow (BM) microenvironment for disease establishment and progression. In this study, we spatially mapped BM biopsies from patients with multiple myeloma, smoldering multiple myeloma, and monoclonal gammopathy of undetermined significance by imaging mass cytometry. We found that PCs near bone surfaces displayed markers of quiescence and demonstrated a distance-to-bone-dependent expression of IL32 in patients with bone disease, consistent with their role in promoting bone loss in multiple myeloma. We identified two distinct PC neighborhoods termed PC OXPHOS, characterized by focal PC growth, enrichment of endothelial cells, and oxidative phosphorylation, and PC MYELOID, characterized by PCs interspersed with immune cells, featuring a glycolytic phenotype. Notably, imaging-inferred interactions between PCs and CD4+ T cells were an independent negative predictor for progression-free survival (PFS). Our work underscores spatial context as a key factor in understanding multiple myeloma pathogenesis and the potential for spatial analyses to improve multiple myeloma risk stratification.
Significance: This study demonstrates that multiple myeloma cells in different neighborhoods experience unique metabolic conditions and immune environments, and that neighbor preference of CD4+ T cells and PCs is associated with poorer PFS. These data highlight the value of spatially resolved analyses in uncovering potential pathophysiologic mechanisms of multiple myeloma.
期刊介绍:
The journal Blood Cancer Discovery publishes high-quality Research Articles and Briefs that focus on major advances in basic, translational, and clinical research of leukemia, lymphoma, myeloma, and associated diseases. The topics covered include molecular and cellular features of pathogenesis, therapy response and relapse, transcriptional circuits, stem cells, differentiation, microenvironment, metabolism, immunity, mutagenesis, and clonal evolution. These subjects are investigated in both animal disease models and high-dimensional clinical data landscapes.
The journal also welcomes submissions on new pharmacological, biological, and living cell therapies, as well as new diagnostic tools. They are interested in prognostic, diagnostic, and pharmacodynamic biomarkers, and computational and machine learning approaches to personalized medicine. The scope of submissions ranges from preclinical proof of concept to clinical trials and real-world evidence.
Blood Cancer Discovery serves as a forum for diverse ideas that shape future research directions in hematooncology. In addition to Research Articles and Briefs, the journal also publishes Reviews, Perspectives, and Commentaries on topics of broad interest in the field.