Detection of PIK3CA mutations in circulating free DNA in patients with breast cancer

Ruth E Board1, Andrew M Wardley, J Michael Dixon

  • 1Clinical and Experimental Pharmacology Group, Paterson Institute for Cancer Research, University of Manchester, Manchester, M20 4BX, UK.

Insights

Detecting PIK3CA mutations in circulating tumor DNA (ctDNA) is feasible in metastatic breast cancer patients. This blood-based test shows high concordance with tumor mutations, aiding clinical trial stratification.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • Somatic mutations in PIK3CA are common in breast cancer, influencing tumor behavior.
  • PI3K pathway inhibitors are in clinical trials, but PIK3CA mutation's impact on response needs clarification.
  • Circulating free DNA (cfDNA) offers a potential non-invasive source for PIK3CA mutation detection.

Purpose of the Study:

  • To investigate the utility of cfDNA for detecting PIK3CA mutations in breast cancer patients.
  • To assess the concordance between cfDNA and tumor-derived PIK3CA mutation status.
  • To evaluate cfDNA as a potential biomarker for patient stratification in clinical trials.

Main Methods:

  • cfDNA was extracted from plasma and serum of 46 metastatic and 30 localized breast cancer patients.
  • Matched archival tumor tissue was also analyzed.
  • Hotspot PIK3CA mutations were detected using Amplification Refractory Mutation System (ARMS) allele-specific PCR and Scorpion probes.

Main Results:

  • PIK3CA mutations were detected in 28% of plasma cfDNA and 21% of serum cfDNA from metastatic patients.
  • Concordance between plasma cfDNA and tumor PIK3CA mutation status was 95% in 41 matched cases.
  • Tumor PIK3CA mutations were detected in 80% of plasma cfDNA when present in the tumor.
  • No PIK3CA mutations were found in cfDNA from localized breast cancer patients, despite 47% having tumor mutations.

Conclusions:

  • cfDNA is a feasible and potentially useful source for PIK3CA mutation detection in metastatic breast cancer.
  • PIK3CA mutation detection in cfDNA could serve as a predictive biomarker for patient stratification in clinical trials targeting PI3K signaling.
  • Further studies are needed to fully qualify cfDNA-based PIK3CA mutation analysis as a clinical biomarker.

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