Detection of Tumor <i>PIK3CA</i> Status in Metastatic Breast Cancer Using Peripheral Blood

Michaela J. Higgins(Parkland Health & Hospital System), Danijela Jelovac(Parkland Health & Hospital System), Evan Barnathan(Parkland Health & Hospital System), Brian Blair(Parkland Health & Hospital System), Shannon A. Slater(Parkland Health & Hospital System), Penny Powers(Parkland Health & Hospital System), Jane Zorzi(Parkland Health & Hospital System), Stacie C. Jeter(Parkland Health & Hospital System), George R. Oliver(Parkland Health & Hospital System), John H. Fetting(Parkland Health & Hospital System), Leisha A. Emens(Parkland Health & Hospital System), Carol Riley(Parkland Health & Hospital System), Vered Stearns(Parkland Health & Hospital System), Frank Diehl(Parkland Health & Hospital System), Philipp Angenendt(Parkland Health & Hospital System), Peng Huang(Parkland Health & Hospital System), Leslie Cope(Parkland Health & Hospital System), Pedram Argani(Parkland Health & Hospital System), Kathleen M. Murphy(Parkland Health & Hospital System), Kurtis E. Bachman(Parkland Health & Hospital System), Joel Greshock(Parkland Health & Hospital System), Antonio C. Wolff(Parkland Health & Hospital System), Ben Ho Park(Parkland Health & Hospital System)
Clinical Cancer Research
March 16, 2012
Cited by 307Open Access
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Abstract

PURPOSE: We sought to evaluate the feasibility of detecting PIK3CA mutations in circulating tumor DNA (ctDNA) from plasma of patients with metastatic breast cancer using a novel technique called BEAMing. EXPERIMENTAL DESIGN: In a retrospective analysis, 49 tumor and temporally matched plasma samples from patients with breast cancer were screened for PIK3CA mutations by BEAMing. We then prospectively screened the ctDNA of 60 patients with metastatic breast cancer for PIK3CA mutations by BEAMing and compared the findings with results obtained by screening corresponding archival tumor tissue DNA using both sequencing and BEAMing. RESULTS: The overall frequency of PIK3CA mutations by BEAMing was similar in both patient cohorts (29% and 28.3%, respectively). In the retrospective cohort, the concordance of PIK3CA mutation status by BEAMing between formalin-fixed, paraffin-embedded (FFPE) samples and ctDNA from temporally matched plasma was 100% (34 of 34). In the prospective cohort, the concordance rate among 51 evaluable cases was 72.5% between BEAMing of ctDNA and sequencing of archival tumor tissue DNA. When the same archival tissue DNA was screened by both sequencing and BEAMing for PIK3CA mutations (n = 41 tissue samples), there was 100% concordance in the obtained results. CONCLUSIONS: Analysis of plasma-derived ctDNA for the detection of PIK3CA mutations in patients with metastatic breast cancer is feasible. Our results suggest that PIK3CA mutational status can change upon disease recurrence, emphasizing the importance of reassessing PIK3CA status on contemporary (not archival) biospecimens. These results have implications for the development of predictive biomarkers of response to targeted therapies.


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