Detection of Cancer DNA in Plasma of Patients with Early-Stage Breast Cancer

Julia A. Beaver(Christian Medical College, Vellore), Danijela Jelovac(Christian Medical College, Vellore), Balukrishna Sasidharan(Christian Medical College, Vellore), Rory L. Cochran(Christian Medical College, Vellore), Sarah Croessmann(Christian Medical College, Vellore), Daniel J. Zabransky(Christian Medical College, Vellore), Hong Yuen Wong(Christian Medical College, Vellore), Patricia Valda Toro(Christian Medical College, Vellore), Justin Cidado(Christian Medical College, Vellore), Brian Blair(Christian Medical College, Vellore), David Chu(Christian Medical College, Vellore), Timothy F. Burns(Christian Medical College, Vellore), Michaela J. Higgins(Christian Medical College, Vellore), Vered Stearns(Christian Medical College, Vellore), Lisa K. Jacobs(Christian Medical College, Vellore), Mehran Habibi(Christian Medical College, Vellore), Julie R. Lange(Christian Medical College, Vellore), Paula J. Hurley(Christian Medical College, Vellore), Josh Lauring(Christian Medical College, Vellore), Dustin A. VanDenBerg(Christian Medical College, Vellore), Jill Kessler(Christian Medical College, Vellore), Stacie C. Jeter(Christian Medical College, Vellore), Michael L. Samuels(Christian Medical College, Vellore), Dianna Maar(Christian Medical College, Vellore), Leslie Cope(Christian Medical College, Vellore), Ashley Cimino‐Mathews(Christian Medical College, Vellore), Pedram Argani(Christian Medical College, Vellore), Antonio C. Wolff(Christian Medical College, Vellore), Ben Ho Park(Christian Medical College, Vellore)
Clinical Cancer Research
February 7, 2014
Cited by 394

Abstract

PURPOSE: Detecting circulating plasma tumor DNA (ptDNA) in patients with early-stage cancer has the potential to change how oncologists recommend systemic therapies for solid tumors after surgery. Droplet digital polymerase chain reaction (ddPCR) is a novel sensitive and specific platform for mutation detection. EXPERIMENTAL DESIGN: In this prospective study, primary breast tumors and matched pre- and postsurgery blood samples were collected from patients with early-stage breast cancer (n = 29). Tumors (n = 30) were analyzed by Sanger sequencing for common PIK3CA mutations, and DNA from these tumors and matched plasma were then analyzed for PIK3CA mutations using ddPCR. RESULTS: Sequencing of tumors identified seven PIK3CA exon 20 mutations (H1047R) and three exon 9 mutations (E545K). Analysis of tumors by ddPCR confirmed these mutations and identified five additional mutations. Presurgery plasma samples (n = 29) were then analyzed for PIK3CA mutations using ddPCR. Of the 15 PIK3CA mutations detected in tumors by ddPCR, 14 of the corresponding mutations were detected in presurgical ptDNA, whereas no mutations were found in plasma from patients with PIK3CA wild-type tumors (sensitivity 93.3%, specificity 100%). Ten patients with mutation-positive ptDNA presurgery had ddPCR analysis of postsurgery plasma, with five patients having detectable ptDNA postsurgery. CONCLUSIONS: This prospective study demonstrates accurate mutation detection in tumor tissues using ddPCR, and that ptDNA can be detected in blood before and after surgery in patients with early-stage breast cancer. Future studies can now address whether ptDNA detected after surgery identifies patients at risk for recurrence, which could guide chemotherapy decisions for individual patients.


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