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Single cell clonotypic and transcriptional evolution of multiple myeloma precursor disease

  • Minghao Dang
  • , Ruiping Wang
  • , Hans C. Lee
  • , Krina K. Patel
  • , Melody R. Becnel
  • , Guangchun Han
  • , Sheeba K. Thomas
  • , Dapeng Hao
  • , Yanshuo Chu
  • , Donna M. Weber
  • , Pei Lin
  • , Zuzana Lutter-Berka
  • , David A. Berrios Nolasco
  • , Mei Huang
  • , Hima Bansal
  • , Xingzhi Song
  • , Jianhua Zhang
  • , Andrew Futreal
  • , Luz Yurany Moreno Rueda
  • , David E. Symer
  • Michael R. Green, Cristhiam M. Rojas Hernandez, Michael Kroll, Vahid Afshar-Khargan, Libere J. Ndacayisaba, Peter Kuhn, Sattva S. Neelapu, Robert Z. Orlowski, Linghua Wang*, Elisabet E. Manasanch*
*Corresponding author for this work
  • University of Texas MD Anderson Cancer Center
  • University of Southern California

Research output: Contribution to journalArticlepeer-review

Abstract

Multiple myeloma remains an incurable disease, and the cellular and molecular evolution from precursor conditions, including monoclonal gammopathy of undetermined significance and smoldering multiple myeloma, is incompletely understood. Here, we combine single-cell RNA and B cell receptor sequencing from fifty-two patients with myeloma precursors in comparison with myeloma and normal donors. Our comprehensive analysis reveals early genomic drivers of malignant transformation, distinct transcriptional features, and divergent clonal expansion in hyperdiploid versus non-hyperdiploid samples. Additionally, we observe intra-patient heterogeneity with potential therapeutic implications and identify distinct patterns of evolution from myeloma precursor disease to myeloma. We also demonstrate distinctive characteristics of the microenvironment associated with specific genomic changes in myeloma cells. These findings add to our knowledge about myeloma precursor disease progression, providing valuable insights into patient risk stratification, biomarker discovery, and possible clinical applications.

Original languageEnglish
Pages (from-to)1032-1047.e4
JournalCancer Cell
Volume41
Issue number6
DOIs
StatePublished - 12 Jun 2023
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • hyperdiploid
  • intra-tumoral heterogeneity
  • monoclonal gammopathy of undetermined significance
  • multiple myeloma
  • non-hyperdiploid
  • single-cell B cell receptor sequencing
  • single-cell RNA sequencing
  • smoldering multiple myeloma
  • tumor evolution
  • tumor microenvironment

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