Response Profiling Using Shotgun Proteomics Enables Global Metallodrug Mechanisms of Action To Be Established

Dominique Kreutz1, Andrea Bileck1, Kerstin Plessl2

  • 1Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Strasse 38, 1090, Vienna, Austria.

Insights

Shotgun proteomics revealed differential metallodrug responses in colon cancer cells. Arsenic trioxide’s mechanism was clear in SW480 cells but not HCT116, highlighting cell-specific protein regulation impacts.

Area of Science:

  • Proteomics and Cancer Biology
  • Metallodrug Mechanism of Action Studies

Background:

  • Understanding metallodrug mechanisms is crucial for cancer therapy.
  • Colon carcinoma cell lines (HCT116, SW480) exhibit distinct basal protein expression profiles.
  • Shotgun proteomics offers a global approach to analyze drug-induced proteome alterations.

Purpose of the Study:

  • To establish metallodrug mechanisms of action using response profiling.
  • To compare drug responses in HCT116 and SW480 colon cancer cell lines.
  • To investigate the impact of basal protein expression on drug-induced regulatory effects.

Main Methods:

  • Shotgun proteomics was employed for response profiling.
  • Arsenic trioxide was used as a benchmark metallodrug.
  • Four additional anti-cancer metallodrugs (KP46, KP772, KP1339, KP1537) were investigated.

Main Results:

  • Arsenic trioxide's mechanism was fully elucidated in SW480 cells, but not HCT116 cells, due to differential protein regulation.
  • Significant differences in basal protein expression between cell lines affected drug response extent.
  • A distinct redox response was observed in SW480 cells upon arsenic treatment.
  • Proteome alterations mapped to functional groups including DNA repair, endocytosis, and stress responses.

Conclusions:

  • Cell-specific protein expression significantly influences metallodrug efficacy and mechanism elucidation.
  • Response profiling is a valuable tool for dissecting metallodrug actions.
  • Further research is needed to optimize patient stratification for clinical metallodrug studies.

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