A simple and robust real-time qPCR method for the detection of PIK3CA mutations

Virginia Alvarez-Garcia1, Clare Bartos2,3, Ieva Keraite4,5

  • 1Institute of Biological Chemistry, Biophysics and Bioengineering, Heriot-Watt University, Edinburgh, EH14 4AS, UK. v.alvarez_garcia@hw.ac.uk.

Scientific Reports
|March 11, 2018
PubMed

Insights

This study introduces a fast, affordable real-time PCR method for detecting common PIK3CA mutations (H1047R, E545K) in breast cancer. This assay offers a simpler, cost-effective alternative for clinical mutation screening.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • PIK3CA mutations are frequent in breast cancer, with H1047R and E545K comprising ~60% of cases.
  • Existing genotyping methods for PIK3CA mutations are costly and lack sensitivity.
  • Targeting PIK3CA mutations offers significant therapeutic potential in breast cancer treatment.

Purpose of the Study:

  • To develop rapid, cost-effective assays for screening PIK3CA H1047R and E545K mutations.
  • To provide a simpler diagnostic tool for PIK3CA mutation status determination in clinical settings.

Main Methods:

  • Real-time PCR utilizing mutation-specific primers and a wild-type amplification inhibitor.
  • Incorporation of a parallel internal control reaction for accurate quantification.
  • Validation using Sanger sequencing and next-generation sequencing (NGS).

Main Results:

  • Consistent detection of PIK3CA H1047R mutant DNA in various sample types (biopsies, FFPE, cell lines).
  • Achieved a detection sensitivity of approximately 5% mutant allele fraction for H1047R.
  • Demonstrated a detection sensitivity of approximately 10% for PIK3CA E545K mutation.

Conclusions:

  • The developed real-time PCR assays are simple, fast, and inexpensive for PIK3CA mutation screening.
  • These assays can serve as valuable diagnostic tools for determining PIK3CA mutation status in breast cancer patients.
  • The methods facilitate wider accessibility to crucial genetic information for personalized cancer therapy.

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