Oxaliplatin-DNA Adducts as Predictive Biomarkers of FOLFOX Response in Colorectal Cancer: A Potential Treatment

Maike Zimmermann1,2, Tao Li1, Thomas J Semrad1,3

  • 1Department of Internal Medicine, Division of Hematology and Oncology and UC Davis Comprehensive Cancer Center, University of California Davis, Sacramento, California.

Insights

Diagnostic microdoses of oxaliplatin can predict colorectal cancer treatment response. Measuring oxaliplatin-DNA adducts in peripheral blood mononuclear cells (PBMC) may indicate tumor shrinkage during FOLFOX therapy, potentially guiding treatment decisions.

Area of Science:

  • Oncology
  • Pharmacology
  • Biochemistry

Background:

  • FOLFOX chemotherapy is effective for advanced colorectal cancer but limited by oxaliplatin neurotoxicity.
  • Oxaliplatin exerts its effects by forming covalent drug-DNA adducts.
  • Predicting treatment response and toxicity is crucial for optimizing chemotherapy.

Purpose of the Study:

  • To test if oxaliplatin-DNA adduct levels in PBMC correlate with tumor shrinkage during FOLFOX therapy.
  • To determine if "diagnostic microdoses" of oxaliplatin can predict adduct levels from therapeutic doses and treatment response.

Main Methods:

  • Colorectal cancer cell lines were exposed to varying concentrations of [14C]oxaliplatin.
  • Accelerator Mass Spectrometry (AMS) quantified oxaliplatin-DNA adducts.
  • A pilot study in six colorectal cancer patients measured adduct levels from microdoses and therapeutic doses, correlating them with tumor volume changes.

Main Results:

  • Oxaliplatin-DNA adduct formation correlated with cytotoxicity in cell lines.
  • In patients, PBMC oxaliplatin-DNA adduct levels significantly correlated with tumor volume reduction.
  • A linear proportionality was observed between microdose and therapeutic dose adduct levels and plasma pharmacokinetics.

Conclusions:

  • Oxaliplatin-DNA adduct levels in PBMC are proportional to tumor shrinkage in FOLFOX-treated colorectal cancer patients.
  • Diagnostic microdosing of oxaliplatin shows potential for predicting therapeutic efficacy and guiding treatment strategies.

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