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Spatial transcriptomics reveals profound subclonal heterogeneity and T-cell dysfunction in extramedullary myeloma.

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Extramedullary multiple myeloma (EMD) shows varied immune cell distribution and genomic instability. Spatial transcriptomics reveals a complex tumor ecosystem, suggesting new therapeutic strategies like checkpoint inhibition.

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Area of Science:

  • Oncology
  • Immunology
  • Genomics

Background:

  • Extramedullary disease (EMD) is a high-risk feature in multiple myeloma (MM), associated with poor prognosis despite novel immunotherapies.
  • Understanding the spatial architecture of EMD and its microenvironment is crucial for developing effective treatments.

Purpose of the Study:

  • To dissect the 3-dimensional architecture of tumor cells and their microenvironment in EMD using spatial transcriptomics and single-cell RNA sequencing.
  • To identify spatial expression differences of key antigens and characterize immune cell infiltration patterns within EMD lesions.

Main Methods:

  • Spatial transcriptomics (tomo-seq and 10x Visium) and single-cell RNA sequencing were applied to 14 EMD biopsies.
  • Analysis focused on dissecting the 3D architecture, immune cell distribution, genomic heterogeneity, and metabolic programs within EMD.

Main Results:

  • Significant intrapatient and interpatient variations in immune and stromal cell distribution were observed.
  • Plasma cells exhibited copy number heterogeneity and subclone emergence, indicating genomic instability.
  • Exhausted T cells colocalized with MM cells, while activated CD8+ T cells and M1 macrophages infiltrated tumor-free regions, a pattern altered by bispecific antibody therapy.

Conclusions:

  • Spatial transcriptomics reveals a complex multicellular ecosystem within EMD.
  • Checkpoint inhibition and dual targeting strategies show promise for EMD treatment.
  • The study highlights the potential of targeting the tumor microenvironment and immune cell interactions in EMD.