Detection of cancer DNA in plasma of patients with early-stage breast cancer

Julia A Beaver, Danijela Jelovac, Sasidharan Balukrishna, Rory Cochran, Sarah Croessmann, Daniel J Zabransky, Hong Yuen Wong, Patricia Valda Toro, Justin Cidado, Brian G Blair, David Chu, Timothy Burns, Michaela J Higgins, Vered Stearns, Lisa Jacobs, Mehran Habibi, Julie Lange, Paula J Hurley, Josh Lauring, Dustin VanDenBerg, Jill Kessler, Stacie Jeter, Michael L Samuels, Dianna Maar, Leslie Cope, Ashley Cimino-Mathews, Pedram Argani, Antonio C Wolff, Ben H Park, Julia A Beaver, Danijela Jelovac, Sasidharan Balukrishna, Rory Cochran, Sarah Croessmann, Daniel J Zabransky, Hong Yuen Wong, Patricia Valda Toro, Justin Cidado, Brian G Blair, David Chu, Timothy Burns, Michaela J Higgins, Vered Stearns, Lisa Jacobs, Mehran Habibi, Julie Lange, Paula J Hurley, Josh Lauring, Dustin VanDenBerg, Jill Kessler, Stacie Jeter, Michael L Samuels, Dianna Maar, Leslie Cope, Ashley Cimino-Mathews, Pedram Argani, Antonio C Wolff, Ben H Park

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.

©2014 American Association for Cancer Research.

Figures

Figure 1. Enrollment of patients and collection…
Figure 1. Enrollment of patients and collection of clinical samples
A total of twenty-nine women were enrolled in this prospective study. PIK3CA mutational analysis was performed on thirty tumor specimens and pre- and post-surgery plasma samples collected. In twelve patients, post-surgery blood samples could not be collected. PreOp denotes pre-surgery specimens and PostOp denotes post-surgery specimens.

Source: PubMed

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