Go to The Journal of Clinical Investigation
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
  • Physician-Scientist Development
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Immunology
    • Metabolism
    • Nephrology
    • Oncology
    • Pulmonology
    • All ...
  • Videos
  • Collections
    • In-Press Preview
    • Resource and Technical Advances
    • Clinical Research and Public Health
    • Research Letters
    • Editorials
    • Perspectives
    • Physician-Scientist Development
    • Reviews
    • Top read articles

  • Current issue
  • Past issues
  • Specialties
  • In-Press Preview
  • Resource and Technical Advances
  • Clinical Research and Public Health
  • Research Letters
  • Editorials
  • Perspectives
  • Physician-Scientist Development
  • Reviews
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact

Usage Information

Direct pharmacological targeting of asparagine synthetase to overcome resistance to L-asparaginase in ALL therapy
Rodney Claude, Sankalp Srivastava, Kirk A. Staschke, Carlos Mellado-Fritz, Shaoxiong Chen, Lei Liu, Minghua Zhong, Harish Kothandaraman, Nadia A. Lanman, Utpal Davé, Sandeep Batra, Jiehao Zhou, Yue Fang, Chi Zhang, Reuben Kapur, Jing Fan, Ronald C. Wek, Ji Zhang
Rodney Claude, Sankalp Srivastava, Kirk A. Staschke, Carlos Mellado-Fritz, Shaoxiong Chen, Lei Liu, Minghua Zhong, Harish Kothandaraman, Nadia A. Lanman, Utpal Davé, Sandeep Batra, Jiehao Zhou, Yue Fang, Chi Zhang, Reuben Kapur, Jing Fan, Ronald C. Wek, Ji Zhang
View: Text | PDF
Research Article Hematology Metabolism

Direct pharmacological targeting of asparagine synthetase to overcome resistance to L-asparaginase in ALL therapy

  • Text
  • PDF
Abstract

Acute lymphoblastic leukemia (ALL) is the most common pediatric cancer, arising from both B and T cell lineages (B-ALL and T-ALL). Current therapy exploits ALL cells’ low expression of asparagine synthetase (ASNS) by using L-asparaginase, a bacterial enzyme that depletes circulating asparagine. However, resistance can emerge through induction of ASNS, mediated in part by the amino acid stress sensor GCN2. In this study, we addressed the efficacy of L-asparaginase in combination with genetic or pharmacological inhibition of GCN2 and the ASNS inhibitor ASX-173. Using a KrasG12D-driven mouse model of T-ALL, we found that GCN2 is dispensable for leukemogenesis. However, genetic inactivation or pharmacologic inhibition of GCN2 sensitized ALL cells to asparagine depletion, correlating with impaired ASNS induction. While GCN2 targeting enhanced sensitivity to asparagine depletion, a subset of Gcn2–/– T-ALL cells retained high ASNS expression and remained resistant to L-asparaginase. Likewise, some human T-ALL cells with elevated ASNS levels were refractory to GCN2 inhibition even under asparagine-depleted conditions. When combined with L-asparaginase, ASX-173 effectively eliminated ASNShi leukemic cells in vitro and in vivo. These findings suggest that direct targeting of ASNS provides therapeutic benefit in leukemias that express high levels of ASNS and are resistant to GCN2 inhibition under asparagine-depleted conditions.

Authors

Rodney Claude, Sankalp Srivastava, Kirk A. Staschke, Carlos Mellado-Fritz, Shaoxiong Chen, Lei Liu, Minghua Zhong, Harish Kothandaraman, Nadia A. Lanman, Utpal Davé, Sandeep Batra, Jiehao Zhou, Yue Fang, Chi Zhang, Reuben Kapur, Jing Fan, Ronald C. Wek, Ji Zhang

×

Usage data is cumulative from June 2026 through July 2026.

Usage JCI PMC
Text version 1,178 0
PDF 328 0
Figure 78 0
Supplemental data 215 0
Citation downloads 243 0
Totals 2,042 0
Total Views 2,042

Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

Advertisement

Copyright © 2026 American Society for Clinical Investigation
ISSN 2379-3708

Sign up for email alerts