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Updated: Oct 11, 2025

An Organotypic High Throughput System for Characterization of Drug Sensitivity of Primary Multiple Myeloma Cells
Published on: July 15, 2015
Subclone-specific microenvironmental impact and drug response in refractory multiple myeloma revealed by single-cell
Stephan M Tirier1, Jan-Philipp Mallm1,2,3, Simon Steiger1
1Division of Chromatin Networks, German Cancer Research Center (DKFZ) and Bioquant, Heidelberg, Germany.
Drug resistance in relapsed/refractory multiple myeloma (RRMM) involves evolving cancer cell subclones and a reprogrammed bone marrow microenvironment (BME). Understanding these changes offers new therapeutic strategies for patients with refractory multiple myeloma.
Area of Science:
- Hematology
- Oncology
- Genomics
Background:
- Multiple myeloma frequently develops treatment resistance over time.
- Relapsed/refractory multiple myeloma (RRMM) is characterized by genomic heterogeneity and bone marrow microenvironment (BME) alterations.
- The molecular drivers of drug resistance in RRMM are not fully understood.
Purpose of the Study:
- To analyze the transcriptional landscape of heterogeneous tumor cell populations in RRMM.
- To investigate the complex interactions between myeloma cells and the BME.
- To elucidate the mechanisms underlying treatment resistance in RRMM.
Main Methods:
- Single-cell RNA sequencing was performed on 20 RRMM patients before and after treatment.
- Analysis focused on clonal evolution, transcriptomic signatures, and BME composition.
- Interactions between myeloma cells and immune/stromal compartments were examined.
Main Results:
- Subclones with chromosome 1q-gain exhibit a distinct transcriptomic signature and expand during treatment.
- RRMM cells induce an immunosuppressive BME via cytokine upregulation and myeloid cell interactions.
- The BME shows accumulation of PD1+ γδ T-cells and macrophages, alongside depletion of hematopoietic progenitors.
Conclusions:
- This study identifies key transcriptional features of RRMM subclones.
- Mechanisms of BME reprogramming contributing to drug resistance were elucidated.
- Findings have implications for improving clinical decision-making and therapeutic strategies in RRMM.
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