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PDF file - 395KB, Figure S1. Pre-surgery plasma ddPCR analysis for PIK3CA mutations. Figure S2. Positive and negative controls for droplet thresholds and counts. Figure S3. Lower Limit of Detection for PIK3CA Exon 9. Supplementary Table S1: Primers used to amplify and sequence FFPE specimens. Supplementary Table S2: Primers and probes used for ddPCR on FFPE samples. Supplementary Table S3: Primers and probes for ddPCR of plasma DNA. Supplementary Table S4: Fractional abundance and 95% confidence intervals of positive ptDNA samples.

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. Clin Cancer Res; 20(10); 2643–50. ©2014 AACR.

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. Clin Cancer Res; 20(10); 2643–50. ©2014 AACR.

Preoperative sentinel node localization (SNL) using a subareolar injection of radiotracer technetium-99m-sulfur colloid (Tc(99m)SC) is associated with significant pain. Lidocaine use during SNL is not widely adopted partly due to a concern that it can obscure sentinel node identification and reduce its diagnostic accuracy. We prospectively identified women with a biopsy-proven infiltrating breast cancer who were awaiting a SNL. The women completed the McGill pain questionnaire, Visual Analog Scale, and Wong-Baker FACES Pain Rating Scale prior to and following SNL. We identified a retrospective cohort of women with similar demographic and tumor characteristics who did not receive lidocaine before SNL. We compared sentinel lymph node identification rates in the two cohorts. We used Wilcoxon rank sum tests to compare continuous measures and Fisher's exact test for categorical measures. Between January 2011 to July 2012, 110 women consented, and 105 were eligible for and received lidocaine prior to Tc(99m)SC injection. The post-lidocaine identification rate of SNL was 95 % with Tc(99m)SC, and 100 % with the addition of intraoperative methylene blue dye/saline. Pain range prior to and following the SNL was unchanged (P = 0.703). We identified 187 women from 2005 to 2009 who did not receive lidocaine during preoperative SNL. There was no significant difference in the success rate of SNL, with or without lidocaine (P = 0.194). The administration of lidocaine during SNL prevents pain related to isotope injection while maintaining the success rate. We have changed our practice at our center to incorporate the use of lidocaine during all SNL.

11019 Background: PIK3CA is mutated in up to 30% of breast cancers. Classically somatic mutations are identified by Sanger sequencing of the primary tumor specimen. However third generation droplet digital PCR technologies offer a novel platform for quantitative mutation detection with improved sensitivity. Methods: Thirty stage I-III breast cancer patients were consented on an IRB-approved prospective repository study at Johns Hopkins for collection of their primary breast tumor specimen. Formalin-fixed paraffin embedded (FFPE) samples were analyzed by standard sequencing for three PIK3CA hotspot mutations. The DNA from these samples was then analyzed using the RainDrop digital PCR platform with TaqMan probes in a triplex format to simultaneously detect and quantitate hotspot mutations and genome equivalents. Results are expressed as a percentage of mutant to wild-type PIK3CA molecules for each sample. Results: Standard sequencing of all tumors (n=30) identified seven PIK3CA Exon 20 mutations (H1047R) and three Exon 9 mutations (E545K). Samples were scored as PIK3CA mutation positive by digital PCR if the tumor DNA contained at least 5% mutant molecules. All ten mutations identified by sequencing were verified by digital PCR with quantities of mutant molecules ranging from 20.3-55.6% in a given sample. Digital PCR identified additional PIK3CA mutations that were wild type by standard sequencing including three mutant Exon 20 samples, two mutant Exon 9 samples and one sample with an Exon 20 and Exon 9 mutation. Quantities of mutant molecules in these additional samples ranged from 5-28.9%. Conclusions: RainDrop digital PCR offers improved sensitivity and quantification for detecting PIK3CA mutations in FFPE samples using nanograms of DNA. Additional mutations identified by digital PCR may reflect genetic heterogeneity or possibly tissue contamination. The clinical utility of identifying a small proportion of mutations is unknown but may impact eligibility for targeted therapies and clinical trials. Ongoing studies will also address whether the identification of solid tumor mutations in circulating cell-free plasma DNA by digital PCR can improve diagnostics and aid in therapeutic decisions.