Multiplexed Imaging Reveals Immune-Metabolic Niches in Multiple Myeloma Linked to Progression and Bone Disease.

IF 12.2 Q1 HEMATOLOGY
Ingrid Aass Roseth, Lukas Hatscher, Chiara Schiller, Håkon Skjalg Selland Johnstuen, Tobias S Slørdahl, Håkon Hov, Denis Schapiro, Therese Standal
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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.

多路成像显示多发性骨髓瘤中与进展和骨病相关的免疫代谢小生境。
多发性骨髓瘤(MM)是一种浆细胞(PC)癌,依赖于骨髓(BM)微环境的疾病建立和进展。在这里,我们通过成像细胞术绘制了MM,闷烧MM和单克隆伽玛病患者的BM活检的空间图。我们发现骨表面附近的PC显示出安静的标记,并且在骨病患者中显示出IL-32的距离依赖表达,这与它们在MM中促进骨质流失的作用一致。我们确定了两个不同的PC社区,称为PC_OXPHOS,其特征是局灶性PC生长、内皮细胞富集和氧化磷酸化;以及PC_MYELOID,其特征是细胞与免疫细胞穿插,具有糖酵解表型。值得注意的是,成像推断的pc和CD4+ T细胞之间的相互作用是无进展生存的独立阴性预测因子。我们的工作强调空间环境是理解MM发病机制的关键因素,也是空间分析改善MM风险分层的潜力。
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来源期刊
CiteScore
12.70
自引率
1.80%
发文量
139
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.
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