多発性骨髄腫の予後を予測する炎症性免疫細胞を特定(Inflammatory immune cells predict survival, relapse in multiple myeloma)

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2026-01-09 ワシントン大学セントルイス校

ワシントン大学セントルイス校の研究チームは、多発性骨髄腫患者の生存率や再発リスクと、骨髄内に存在する炎症性免疫細胞との関連を明らかにした。患者サンプルを詳細に解析した結果、特定の炎症性免疫細胞集団が多い場合、治療後の生存期間が短く、再発しやすい傾向が認められた。これらの免疫細胞は、がん免疫を活性化するのではなく、腫瘍細胞の生存や治療抵抗性を支える役割を果たしている可能性が示唆されている。研究者らは、診断時に免疫細胞の状態を評価することで、患者ごとの予後予測精度を高め、治療強度や治療法選択の最適化につながると指摘する。本成果は、多発性骨髄腫における免疫環境の重要性を示すとともに、免疫細胞を標的とした新たな治療戦略開発への基盤を提供するものである。

多発性骨髄腫の予後を予測する炎症性免疫細胞を特定(Inflammatory immune cells predict survival, relapse in multiple myeloma)
Researchers at WashU Medicine and their collaborators have created an immune cell atlas of multiple myeloma, a cancer of the bone marrow. The new resource could improve prognosis and guide development of new immunotherapies. Shown is a sample of bone marrow from a patient with multiple myeloma, indicated by an overabundance of plasma cells (pink) compared with normal bone marrow (green). T cells are in red. (Image: Julia Wang)

<関連情報>

単一細胞アトラスは、多発性骨髄腫の転帰に関連する骨髄免疫微小環境の調節不全を特徴づける A single-cell atlas characterizes dysregulation of the bone marrow immune microenvironment associated with outcomes in multiple myeloma

William C. Pilcher,Lijun Yao,Edgar Gonzalez-Kozlova,Yered Pita-Juarez,Dimitra Karagkouni,Chaitanya R. Acharya,Marina E. Michaud,Mark Hamilton,Shivani Nanda,Yizhe Song,Kazuhito Sato,Julia T. Wang,Sarthak Satpathy,Yuling Ma,Jessica Schulman,Darwin D’Souza,Reyka G. Jayasinghe,Denis Ohlstrom,Katherine E. Ferguson,Giulia Cheloni,Mojtaba Bakhtiari,Nick Pabustan,Kai Nie,Jennifer A. Foltz,Immune Atlas Consortium,… Manoj Bhasin
Nature Cancer  Published:09 January 2026
DOI:https://doi.org/10.1038/s43018-025-01072-4

Abstract

Multiple myeloma (MM) remains incurable despite advances in treatment options. Although tumor subtypes and specific DNA abnormalities are linked to worse prognosis, the impact of immune dysfunction on disease emergence and/or treatment sensitivity remains unclear. We developed an Immune Atlas of MM by generating profiles of 1,397,272 single cells from the bone marrow (BM) of 337 newly diagnosed participants and characterized immune and hematopoietic cell populations. Cytogenetic risk-based analysis revealed heterogeneous associations with T cells of BM, with 17p13 deletion showing distinct enrichment of a type 1 interferon signature. The disease progression-based analysis revealed the presence of a proinflammatory immune senescence-associated secretory phenotype in rapidly progressing participants. Furthermore, signaling analyses suggested active intercellular communication involving a proliferation-inducing ligand and B cell maturation antigen, potentially promoting tumor growth and survival. Lastly, using independent discovery and validation cohorts, we demonstrated that integrating immune cell signatures with known tumor cytogenetics and individual characteristics significantly improves stratification for the prediction of survival.

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