Literature DB >> 24504125

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

Julia A Beaver1, Danijela Jelovac1, Sasidharan Balukrishna2, Rory Cochran1, Sarah Croessmann1, Daniel J Zabransky1, Hong Yuen Wong1, Patricia Valda Toro1, Justin Cidado1, Brian G Blair1, David Chu1, Timothy Burns3, Michaela J Higgins4, Vered Stearns1, Lisa Jacobs1, Mehran Habibi1, Julie Lange1, Paula J Hurley1, Josh Lauring1, Dustin VanDenBerg1, Jill Kessler1, Stacie Jeter1, Michael L Samuels5, Dianna Maar6, Leslie Cope1, Ashley Cimino-Mathews1, Pedram Argani1, Antonio C Wolff1, Ben H Park1.   

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.

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Year:  2014        PMID: 24504125      PMCID: PMC4024333          DOI: 10.1158/1078-0432.CCR-13-2933

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  31 in total

1.  The origin and mechanism of circulating DNA.

Authors:  M Stroun; P Maurice; V Vasioukhin; J Lyautey; C Lederrey; F Lefort; A Rossier; X Q Chen; P Anker
Journal:  Ann N Y Acad Sci       Date:  2000-04       Impact factor: 5.691

2.  The role of macrophages in the in vitro generation of extracellular DNA from apoptotic and necrotic cells.

Authors:  Jin-Jung Choi; Charles F Reich; David S Pisetsky
Journal:  Immunology       Date:  2005-05       Impact factor: 7.397

3.  Circulating tumor DNA--ready for prime time?

Authors:  Marc Lippman; C Kent Osborne
Journal:  N Engl J Med       Date:  2013-03-13       Impact factor: 91.245

4.  Detection and quantification of mutations in the plasma of patients with colorectal tumors.

Authors:  Frank Diehl; Meng Li; Devin Dressman; Yiping He; Dong Shen; Steve Szabo; Luis A Diaz; Steven N Goodman; Kerstin A David; Hartmut Juhl; Kenneth W Kinzler; Bert Vogelstein
Journal:  Proc Natl Acad Sci U S A       Date:  2005-10-28       Impact factor: 11.205

5.  K-ras mutations in DNA extracted from the plasma of patients with pancreatic carcinoma: diagnostic utility and prognostic significance.

Authors:  A Castells; P Puig; J Móra; J Boadas; L Boix; E Urgell; M Solé; G Capellà; F Lluís; L Fernández-Cruz; S Navarro; A Farré
Journal:  J Clin Oncol       Date:  1999-02       Impact factor: 44.544

Review 6.  Circulating nucleic acids (CNAs) and cancer--a survey.

Authors:  M Fleischhacker; B Schmidt
Journal:  Biochim Biophys Acta       Date:  2006-10-07

7.  An integrative genomic and proteomic analysis of PIK3CA, PTEN, and AKT mutations in breast cancer.

Authors:  Katherine Stemke-Hale; Ana Maria Gonzalez-Angulo; Ana Lluch; Richard M Neve; Wen-Lin Kuo; Michael Davies; Mark Carey; Zhi Hu; Yinghui Guan; Aysegul Sahin; W Fraser Symmans; Lajos Pusztai; Laura K Nolden; Hugo Horlings; Katrien Berns; Mien-Chie Hung; Marc J van de Vijver; Vicente Valero; Joe W Gray; René Bernards; Gordon B Mills; Bryan T Hennessy
Journal:  Cancer Res       Date:  2008-08-01       Impact factor: 12.701

8.  Circulating mutant DNA to assess tumor dynamics.

Authors:  Frank Diehl; Kerstin Schmidt; Michael A Choti; Katharine Romans; Steven Goodman; Meng Li; Katherine Thornton; Nishant Agrawal; Lori Sokoll; Steve A Szabo; Kenneth W Kinzler; Bert Vogelstein; Luis A Diaz
Journal:  Nat Med       Date:  2007-07-31       Impact factor: 53.440

9.  Detection of chromosomal alterations in the circulation of cancer patients with whole-genome sequencing.

Authors:  Rebecca J Leary; Mark Sausen; Isaac Kinde; Nickolas Papadopoulos; John D Carpten; David Craig; Joyce O'Shaughnessy; Kenneth W Kinzler; Giovanni Parmigiani; Bert Vogelstein; Luis A Diaz; Victor E Velculescu
Journal:  Sci Transl Med       Date:  2012-11-28       Impact factor: 17.956

10.  Absolute quantification by droplet digital PCR versus analog real-time PCR.

Authors:  Christopher M Hindson; John R Chevillet; Hilary A Briggs; Emily N Gallichotte; Ingrid K Ruf; Benjamin J Hindson; Robert L Vessella; Muneesh Tewari
Journal:  Nat Methods       Date:  2013-09-01       Impact factor: 28.547

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  132 in total

1.  Liquid Biopsy in Breast Cancer: Circulating Tumor Cells and Circulating Tumor DNA.

Authors:  Tae-Kyung Yoo
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

2.  Highly personalized detection of minimal Ewing sarcoma disease burden from plasma tumor DNA.

Authors:  Masanori Hayashi; David Chu; Christian F Meyer; Nicolas J Llosa; Gregory McCarty; Carol D Morris; Adam S Levin; Jean-Paul Wolinsky; Catherine M Albert; Diana A Steppan; Ben Ho Park; David M Loeb
Journal:  Cancer       Date:  2016-06-28       Impact factor: 6.860

Review 3.  Circulating cell-free DNA for non-invasive cancer management.

Authors:  Caitlin M Stewart; Dana W Y Tsui
Journal:  Cancer Genet       Date:  2018-03-11

4.  The state of the art in prediction of breast cancer relapse using cell-free circulating tumor DNA liquid biopsies.

Authors:  Niklas Loman; Lao H Saal
Journal:  Ann Transl Med       Date:  2016-10

5.  Medical research: Personalized test tracks cancer relapse.

Authors:  Alberto Bardelli
Journal:  Nature       Date:  2017-05-24       Impact factor: 49.962

6.  What the blood knows: interrogating circulating tumor DNA to predict progression of minimal residual disease in early breast cancer.

Authors:  Melanie Majure; Aaron C Logan
Journal:  Ann Transl Med       Date:  2016-12

Review 7.  The future of breast cancer systemic therapy: the next 10 years.

Authors:  Melinda L Telli; George W Sledge
Journal:  J Mol Med (Berl)       Date:  2015-01-09       Impact factor: 4.599

8.  Assessment of basal-like breast cancer by circulating tumor DNA analysis.

Authors:  Wei Wei; Xianyu Zhang; Shanshan Sun; Bingshu Xia; Xiaoshuan Liang; Yan Cui; Song Gao; Da Pang
Journal:  Oncol Lett       Date:  2018-03-09       Impact factor: 2.967

Review 9.  Improving Cancer Detection and Treatment with Liquid Biopsies and ptDNA.

Authors:  Michael D Kessler; Nisha R Pawar; Stuart S Martin; Toni M Antalis; Timothy D O'Connor
Journal:  Trends Cancer       Date:  2018-08-01

Review 10.  Blood-based analyses of cancer: circulating tumor cells and circulating tumor DNA.

Authors:  Daniel A Haber; Victor E Velculescu
Journal:  Cancer Discov       Date:  2014-05-06       Impact factor: 39.397

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