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December 8, 2025Blood

Multi-omics reveals immune features in immune and non-immune cells, an IFN-γ/IFN-α-B2M positive feedback loop, and targeted metabolic therapy in multiple myeloma

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Authors

CLChen LiYCYan Chen

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Overview

Multi-omics approach reveals immune checkpoint molecules and a feedback loop in multiple myeloma, highlighting potential therapies.

Key Points

  • Immune checkpoint molecules were identified in novel immune subpopulations, indicating important roles in tumor microenvironment dynamics.
  • Data analysis revealed a feedback loop involving immune factors that contribute to disease progression in multiple myeloma.
  • Assessment using single-cell RNA sequencing and metabolic profiling enabled insights into immune evasion mechanisms.
  • Increased understanding of tumor microenvironment dynamics may inform future targeted metabolic therapy interventions.

Cite This Study

Li et al. (2025) studied this question.

synapsesocial.com/papers/69362f514fa91c937236d916https://doi.org/10.1182/blood-2025-7450
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Multi-omics reveals immune features in immune and non-immune cells, an IFN-γ/IFN-α-B2M positive feedback loop, and targeted metabolic therapy in multiple myeloma2025
  2. 2Integrated transcriptomics reveals a TNFRSF-metabolism axis and a context-dependent BCMA signaling state in myeloma progression2026
  3. 3Dissecting the multiple myeloma survival niche to improve novel treatment strategies2025
  4. 4An immune proteomic atlas of 300 million bone marrow cells reveals prognostic cell states in multiple myeloma2025
  5. 5Single-cell transcriptomics reveals proliferative, immune-evasive, and bone marrow–independent transcriptional programs in extramedullary multiple myeloma.2025