Work

BioMarrow: An accessible and reproducible 3D patient-derived bone marrow model for advancing research and clinical applications

Year: 2025
Type: article
Abstract: • MM remains incurable and preclinical models often fail to predict clinical outcomes. • 3D patient-derived BioMarrow model using Matrigel is simple and easy to handle. • Holds original cell proportions, viability, cytokine expression and stromal network. • Supports MM drug testing, modeling resistant and sensitive responses to therapy. • Potential for personalized treatment; adaptable to other BM-related malignancies. Preclinical models for multiple myeloma (MM) often fail to recapitulate the complexity of the bone marrow (BM) microenvironment, limiting their utility for drug testing and translational research. There is an urgent need for physiologically relevant, patient-adaptable platforms to support personalized therapeutic evaluation. We developed BioMarrow, a 3D ex vivo BM culture system using unmanipulated patient BM aspirates embedded in Matrigel. Culture conditions were optimized to sustain diverse hematopoietic, stromal and immune populations for up to 7 days. Spatial distribution, cytokine secretion and treatment responses were assessed via flow cytometry, immunohistochemistry, multiplex ELISA and cell viability assays. The model maintained key BM components characteristics of MM, supported stromal network formation and preserved cytokines such as IL-6 and TGF-β. Immune-effector cytokines were reduced, consistent with a tumour-permissive microenvironment. Drug testing with MM cell lines confirmed BioMarrow's ability to discriminate treatment sensitivity. BioMarrow captures essential features of the MM niche and offers a clinically relevant, short-term platform for ex vivo therapeutic screening. Its scalability and immune component preservation support future integration into personalized treatment workflows, including immunotherapy evaluation.
Language: English
Subfield: Hematology
Field: Medicine
Open Access status: gold
Estimated APC paid: $3,390
OpenAlex ID: W4417494317
FWCI: 0.654
Cites: 40
Cited by: 1
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