Translational Oncology (May 2024)

Cell-free DNA in plasma and ascites as a biomarker of bevacizumab response- a translational research sub-study of the REZOLVE (ANZGOG-1101) clinical trial

  • Bonnita Werner,
  • Katrin M Sjoquist,
  • David Espinoza,
  • Sonia Yip,
  • Garry Chang,
  • Michelle M Cummins,
  • Linda Mileshkin,
  • Sumitra Ananda,
  • Catherine Shannon,
  • Michael Friedlander,
  • Kristina Warton,
  • Caroline E. Ford

Journal volume & issue
Vol. 43
p. 101914

Abstract

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Objective: To investigate cell-free DNA (cfDNA) in plasma and ascites and its association with clinical outcomes (paracentesis-free interval, overall survival) and CA125 level in participants with advanced ovarian cancer, treated with palliative intraperitoneal bevacizumab to delay re-accumulation of ascites. Methods: cfDNA was extracted from 0.3 to 1 mL samples from 20/24 participants of the REZOLVE trial. Standard and methylation-specific PCRs were performed to measure 3 biomarkers: total cfDNA (Alu), tumour-derived cfDNA (ctDNA, methylated IFFO1 promoter) and endothelium-derived cfDNA (ec-cfDNA, unmethylated CDH5 promoter). Values were correlated to clinical outcomes. Results: cfDNA was detected in all samples, with higher yield in ascites (mean 669 ng/mL) than plasma (mean 75 ng/mL, p 75 %) in ascites was associated with a significantly shorter paracentesis-free interval (median interval 47.5 versus 84 days, hazard ratio (HR) 2.21, 95 % confidence interval (CI) 0.85 to 5.73, p = 0.039) and ctDNA presence in plasma was unfavourable for survival (median survival 56 versus 242 days, HR 3.21, 95 % CI 1.15 to 9.00, p = 0.008). A significant positive correlation was observed between ctDNA proportion in plasma and CA125 level (p = 0.012). No significant difference in total cfDNA, ctDNA nor ec-cfDNA was observed between participants who were responders versus non-responders. Conclusion: Sufficient cfDNA was detected in both plasma and ascites to study three biomarkers. These samples can provide useful information and should be considered in the design of future ovarian cancer trials.

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