The Novel ATR Inhibitor M1774 Induces Replication Protein Overexpression and Broad Synergy with DNA-targeted

Ukhyun Jo1,2, Yasuhiro Arakawa1, Astrid Zimmermann3

  • 1Developmental Therapeutics Branch and Pediatric Oncology Branch, Center for Cancer Research, NCI, NIH, Bethesda, Maryland.

PubMed

Insights

The oral ATR inhibitor M1774 (Tuvusertib) shows potent anti-cancer activity and synergizes with DNA-damaging agents. It reverses chemoresistance in SLFN11-negative cells, suggesting its use for patient selection in clinical trials.

Area of Science:

  • Oncology
  • Molecular Pharmacology
  • Cancer Therapeutics

Background:

  • Ataxia telangiectasia and Rad3-related (ATR) checkpoint kinase inhibitors are under clinical investigation.
  • Understanding the molecular pharmacology of novel ATR inhibitors like M1774 is crucial for developing effective cancer therapies.

Purpose of the Study:

  • To explore the molecular pharmacology of the oral ATR inhibitor M1774 (Tuvusertib).
  • To investigate therapeutic combination strategies of M1774 with DNA-damaging agents (DDAs).

Main Methods:

  • Evaluated M1774's single-agent activity in small cell lung cancer cell lines.
  • Assessed M1774's effect on the ATR-CHK1 pathway and its combination with TOP1 inhibitors.
  • Utilized quantitative proteomics to identify M1774-induced protein expression changes.
  • Tested M1774 combinations with various DDAs across cell lines, organoids, and xenograft models.

Main Results:

  • M1774 demonstrated potent nanomolar activity against cancer cells, outperforming some existing ATR inhibitors.
  • M1774 effectively blocked ATR-CHK1 activation and enhanced DDA-induced cancer cell death by promoting unscheduled replication.
  • Proteomics revealed M1774 upregulates replication and G2-M progression proteins, including TIMELESS and TIPIN.
  • M1774 showed significant synergy with multiple DDAs and reversed chemoresistance in SLFN11-negative cells.

Conclusions:

  • M1774 exhibits strong anti-cancer properties and synergistic potential with DDAs.
  • SLFN11 expression can serve as a predictive biomarker for M1774-based combination therapies.

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