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◆ Bone2026-09-07

Myeloma engraftment suppresses osteocytic ossification signatures rescued by loading in mice and reveals predictors of patient outcome.

Fani Ziouti, Muhammad Azeem, Maximilian Rummler, Maciej Rosolowski, Gerardo Zapata, Wyonna Rindt, Catherine Julien, Josephine T Tauer, Wen-Hui Cheng, Susanne Beck, Anja Seckinger, Dirk Hose, Ellen Leich, Bjarne Bogen, Maureen E Lynch, Martin Kuric, Melanie Krug, Regina Ebert, Frank Zaucke, Franz Jakob, Bettina M Willie, Franziska Jundt

原始摘要(英文原文)· Original abstract
Multiple myeloma (MM) is a malignant plasma cell disease inducing osteolytic lesions by disrupting bone homeostasis, fostering catabolic and suppressing anabolic functions. While the impact on osteoblast generation and function is well documented, alterations of osteocyte function and extracellular matrix (ECM) are not yet fully understood. Thus, using a syngeneic mouse model of MM by injecting MOPC315.BM cells intratibially into BALB/c mice (n = 95), we performed transcriptomic profiling of an osteocyte-enriched population and identified a mechanosensitive matrisomal gene signature, which was disrupted by tumor engraftment. Non-invasive tibial loading restored the expression of 94 ECM-associated genes, including collagens, fibronectin, and aggrecan. Cross-species integration with RNA-seq data from 387 MM patients revealed eight ECM-related genes whose expression correlated with overall survival (VEGFA, BCAN, FGF13, TNFSF8, SDC1, LAMC1, SEMA3A, and CCL2). Four of these genes (Vegfa, Sdc1, Sema3a, Ccl2) were also load-responsive in a murine osteocyte (IDG-SW3 cells) bioreactor model. Our findings indicate that an existing mechanosensitive osteocytic repair program is suppressed by MM cells, which can be reinvigorated via a brief single loading session. It suggests that exercise-based interventions may be beneficial to restore bone mass through endochondral ossification programs in patients with MM.
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Myeloma engraftment suppresses osteocytic ossification signatures rescued by loading in mice and reveals predictors of patient outcome. — 科研速览 Science Skim