Evidence map›Paper›PMID 42379250›Full record

ArticleBlood advances2026

Spatial transcriptomics identifies a suppressive, T-cell-excluded tumor microenvironment in extramedullary myeloma.

Nicholas E Bingham, Julie R Boiko, Daniel C Jones, Daniel Wong, Tiffany Khong, Sridurga Mithraprabhu, Kathleen S Ensbey, Anna E Elz, Evan W Newell, Andrew Spencer and 1 more

Abstract read
In one paragraph

Article in Blood advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Nicholas E BinghamClinical Haematology, Alfred Health, Melbourne, Australia.ORCID 0000-0002-8142-650X
Julie R BoikoTranslational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA.ORCID 0009-0008-1378-4752
Daniel C JonesVaccine and Infectious Diseases Division, Fred Hutchinson Cancer Center, Seattle, WA.ORCID 0000-0001-7055-3119
Daniel WongClinical Haematology, Alfred Health, Melbourne, Australia.
Tiffany KhongClinical Haematology, Alfred Health, Melbourne, Australia.
Sridurga MithraprabhuClinical Haematology, Alfred Health, Melbourne, Australia.
Kathleen S EnsbeyTranslational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA.
Anna E ElzImmunotherapy Integrated Research Center, Fred Hutchinson Cancer Center, Seattle, WA.ORCID 0000-0002-7718-3015
Evan W NewellVaccine and Infectious Diseases Division, Fred Hutchinson Cancer Center, Seattle, WA.ORCID 0000-0002-2889-243X
Andrew SpencerClinical Haematology, Alfred Health, Melbourne, Australia.
Geoffrey R HillTranslational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstractExtramedullary 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.

Indexed as

Multiple MyelomaT-LymphocytesTumor MicroenvironmentHumansMacrophagesSpatial Transcriptomics

Identifiers

PMID42379250
PMCPMC13584121

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