Single-cell systems pharmacology identifies development-driven drug response and combination therapy in B cell acute lymphoblastic leukemia

Xin Huang, Yizhen Li, Jingliao Zhang, Lei Yan, Huanbin Zhao, Liang Ding, Sheetal Bhatara, Xu Yang, Satoshi Yoshimura, Wenjian Yang, Seth E. Karol, Hiroto Inaba, Charles Mullighan, Mark Litzow, Xiaofan Zhu, Yingchi Zhang, Wendy Stock, Nitin Jain, Elias Jabbour, Steven M. KornblauMarina Konopleva, Ching Hon Pui, Elisabeth Paietta, William Evans, Jiyang Yu, Jun J. Yang

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

Leukemia can arise at various stages of the hematopoietic differentiation hierarchy, but the impact of developmental arrest on drug sensitivity is unclear. Applying network-based analyses to single-cell transcriptomes of human B cells, we define genome-wide signaling circuitry for each B cell differentiation stage. Using this reference, we comprehensively map the developmental states of B cell acute lymphoblastic leukemia (B-ALL), revealing its strong correlation with sensitivity to asparaginase, a commonly used chemotherapeutic agent. Single-cell multi-omics analyses of primary B-ALL blasts reveal marked intra-leukemia heterogeneity in asparaginase response: resistance is linked to pre-pro-B-like cells, with sensitivity associated with the pro-B-like population. By targeting BCL2, a driver within the pre-pro-B-like cell signaling network, we find that venetoclax significantly potentiates asparaginase efficacy in vitro and in vivo. These findings demonstrate a single-cell systems pharmacology framework to predict effective combination therapies based on intra-leukemia heterogeneity in developmental state, with potentially broad applications beyond B-ALL.

Original languageEnglish
Pages (from-to)552-567.e6
JournalCancer Cell
Volume42
Issue number4
DOIs
StatePublished - 8 Apr 2024
Externally publishedYes

Keywords

  • B cell development
  • L-asparaginase
  • NetBID2
  • acute lymphoblastic leukemia
  • developmental origins
  • hidden driver
  • single-cell multiome
  • single-cell systems pharmacology
  • venetoclax

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