Circulating Cell-Free DNA to Guide Prostate Cancer Treatment with PARP Inhibition

Jane Goodall1, Joaquin Mateo1,2, Wei Yuan1

  • 1The Institute of Cancer Research, London, United Kingdom.

Cancer Discovery
|April 29, 2017
PubMed

Insights

Liquid biopsies using cell-free DNA (cfDNA) show promise as biomarkers in metastatic prostate cancer. Serial cfDNA analysis can predict patient outcomes, track treatment response, and identify resistance mechanisms to PARP inhibitors like olaparib.

Area of Science:

  • Oncology
  • Genetics
  • Molecular Biology

Background:

  • Metastatic prostate cancer requires improved biomarkers for personalized patient care.
  • Previous studies indicated antitumor activity of the PARP inhibitor olaparib in metastatic prostate cancer, particularly in patients with DNA repair defects.

Purpose of the Study:

  • To analyze serial circulating cell-free DNA (cfDNA) samples from a phase II trial of olaparib in metastatic prostate cancer.
  • To evaluate cfDNA as a predictive, prognostic, response, and resistance biomarker.

Main Methods:

  • Targeted and whole-exome sequencing of serial cfDNA samples from patients treated with olaparib.
  • Correlation of cfDNA concentration and mutation allele frequencies with patient outcomes and treatment response.
  • Identification of resistance mechanisms through analysis of cfDNA at disease progression.

Main Results:

  • Decreased cfDNA concentration was independently associated with improved overall survival.
  • Tumor somatic DNA repair mutations were detectable in cfDNA, with decreasing allele frequencies in responding patients.
  • Emergence of subclonal aberrations reverting DNA repair mutations was observed at disease progression, indicating resistance mechanisms.

Conclusions:

  • Serial cfDNA analysis is a valuable tool for monitoring treatment response and predicting outcomes in metastatic prostate cancer.
  • Liquid biopsies can serve as predictive, prognostic, and resistance biomarkers in patients treated with olaparib.
  • Identification of resistance mechanisms, such as secondary mutations, can inform future treatment strategies.