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

Virginia Alvarez Garcia, Clare Bartos, Ieva Keraite, Urmi Trivedi, Paul M. Brennan, Karim Gharbi, Maïwenn Kersaudy-Kerhoas, Karim Gharbi, Olga Oikonomidou, Nicholas R. Leslie

Research output: Contribution to journalArticlepeer-review

25 Citations (Scopus)
132 Downloads (Pure)


PIK3CA mutations are seemingly the most common driver mutations in breast cancer with H1047R and E545K being the most common of these, accounting together for around 60% of all PIK3CA mutations and have promising therapeutic implications. Given the low sensitivity and the high cost of current genotyping methods we sought to develop fast, simple and inexpensive assays for PIK3CA H1047R and E545K mutation screening in clinical material. The methods we describe are based on a real-time PCR including a mutation specific primer combined with a non-productive oligonucleotide which inhibits wild-type amplification and a parallel internal control reaction. We demonstrate consistent detection of PIK3CA H1047R mutant DNA in genomic DNA extracted from frozen breast cancer biopsies, FFPE material or cancer cell lines with a detection sensitivity of approximately 5% mutant allele fraction and validate these results using both Sanger sequencing and deep next generation sequencing methods. The detection sensitivity for PIK3CA E545K mutation was approximately 10%. We propose these methods as simple, fast and inexpensive diagnostic tools to determine PIK3CA mutation status.
Original languageEnglish
Article number4290
JournalScientific Reports
Publication statusPublished - 9 Mar 2018


Dive into the research topics of 'A simple and robust real-time qPCR method for the detection of PIK3CA mutations'. Together they form a unique fingerprint.

Cite this