September 10, 2025Frontiers in ImmunologyOpen Access

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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Multi-omics identifies immune evasion pathways and disease progression in multiple myeloma, highlighting potential drug candidates.

The study reveals novel immune features in multiple myeloma, identifying cell subpopulations linked to disease progression.
Single-cell RNA sequencing and metabolic profiling established the relationships between immune evasion and treatment response.
Integration of multi-omics data enabled identification of four drug candidates showing anti-tumor effects across myeloma cell lines.
Characterization of specific immune cell interactions may offer insights into therapeutic strategies against multiple myeloma.

Li et al. (2025) studied this question.

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