Elucidating minimal residual disease of paediatric B-cell acute lymphoblastic leukaemia by single-cell analysis

Nat Cell Biol. 2022 Feb;24(2):242-252. doi: 10.1038/s41556-021-00814-7. Epub 2022 Feb 10.

Abstract

Minimal residual disease that persists after chemotherapy is the most valuable prognostic marker for haematological malignancies and solid cancers. Unfortunately, our understanding of the resistance elicited in minimal residual disease is limited due to the rarity and heterogeneity of the residual cells. Here we generated 161,986 single-cell transcriptomes to analyse the dynamic changes of B-cell acute lymphoblastic leukaemia (B-ALL) at diagnosis, residual and relapse by combining single-cell RNA sequencing and B-cell-receptor sequencing. In contrast to those at diagnosis, the leukaemic cells at relapse tended to shift to poorly differentiated states, whereas the changes in the residual cells were more complicated. Differential analyses highlighted the activation of the hypoxia pathway in residual cells, resistant clones and B-ALL with MLL rearrangement. Both in vitro and in vivo models demonstrated that inhibition of the hypoxia pathway sensitized leukaemic cells to chemotherapy. This single-cell analysis of minimal residual disease opens up an avenue for the identification of potent treatment opportunities for B-ALL.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Age Factors
  • Animals
  • Antineoplastic Combined Chemotherapy Protocols / adverse effects
  • Antineoplastic Combined Chemotherapy Protocols / therapeutic use*
  • Cell Line, Tumor
  • Coculture Techniques
  • Drug Resistance, Neoplasm / genetics*
  • Gene Expression Profiling*
  • Humans
  • Machine Learning
  • Mice
  • Mice, Inbred NOD
  • Neoplasm, Residual
  • Precursor Cell Lymphoblastic Leukemia-Lymphoma / diagnosis
  • Precursor Cell Lymphoblastic Leukemia-Lymphoma / drug therapy*
  • Precursor Cell Lymphoblastic Leukemia-Lymphoma / genetics
  • Predictive Value of Tests
  • RNA-Seq*
  • Receptors, Antigen, B-Cell / genetics*
  • Recurrence
  • Single-Cell Analysis*
  • Time Factors
  • Transcriptome*
  • Treatment Outcome
  • Tumor Cells, Cultured
  • Xenograft Model Antitumor Assays

Substances

  • Receptors, Antigen, B-Cell