Ontology highlight
ABSTRACT:
SUBMITTER: Alvarez-Garcia V
PROVIDER: S-EPMC5844869 | biostudies-literature | 2018 Mar
REPOSITORIES: biostudies-literature
Alvarez-Garcia Virginia V Bartos Clare C Keraite Ieva I Trivedi Urmi U Brennan Paul M PM Kersaudy-Kerhoas Maïwenn M Gharbi Karim K Oikonomidou Olga O Leslie Nicholas R NR
Scientific reports 20180309 1
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 includin ...[more]