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Updated: Jul 2, 2026

Multiplex Immunohistochemical Analysis of the Spatial Immune Cell Landscape of the Tumor Microenvironment
Published on: August 18, 2023
Spatial transcriptomics identifies a suppressive, T-cell-excluded tumor microenvironment in extramedullary myeloma
Nicholas Eardley Bingham1,2, Julie R Boiko3,4, Daniel C Jones5
1Clinical Haematology, Alfred Health, Melbourne, Australia.
Abstract:
Extramedullary disease (EMD) in multiple myeloma (MM) is associated with poor outcomes because of aggressive disease kinetics and therapy resistance. The bone marrow (BM) tumor microenvironment (TME) promotes cell survival and drug resistance in marrow-restricted MM, but little is known about the TME in EMD. To characterize the tissue architecture of these tumors, we performed spatial transcriptomics on tumor biopsies. Similar to BM-restricted MM, we identified significant interpatient heterogeneity in plasma cell (PC) expression profiles, although still maintaining a characteristic PC transcriptome. The TME was dominated by macrophages with a suppressive "M2" phenotype. CD8+ T cells frequently expressed exhaustion markers LAG3 and TIGIT, consistent with a suppressive TME. We identified 3 recurrent TME niches based on immune cell composition: immune excluded, immune suppressed, and immune permissive. The immune-excluded niche comprised the bulk of tumors, reflecting spatial exclusion of immune cells. The suppressive extracellular matrix (ECM) from abundant tumor-associated fibroblasts in the immune-suppressive niche may further contribute to T-cell exclusion. Cell-cell interaction modeling revealed a complex, bidirectional network: PC modulated the TME through PGE2 and VEGFB while receiving canonical prosurvival signals through CD38, CXCR4, and BCMA. Notably, TME cells, particularly fibroblasts and macrophages, are predicted to collectively promote the suppressive macrophage phenotype and fibrotic ECM, reinforcing an immunosuppressive milieu that supports local disease progression. These findings reveal the spatial organization of EMD, highlighting niche substitution rather than niche independence, and identify clinically tractable microenvironmental niches and signaling networks in this high-risk myeloma subset.
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