Literature DB >> 22421194

Detection of tumor PIK3CA status in metastatic breast cancer using peripheral blood.

Michaela J Higgins1, Danijela Jelovac, Evan Barnathan, Brian Blair, Shannon Slater, Penny Powers, Jane Zorzi, Stacie C Jeter, George R Oliver, John Fetting, Leisha Emens, Carol Riley, Vered Stearns, Frank Diehl, Philipp Angenendt, Peng Huang, Leslie Cope, Pedram Argani, Kathleen M Murphy, Kurtis E Bachman, Joel Greshock, Antonio C Wolff, Ben H Park.   

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. ©2012 AACR.

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Year:  2012        PMID: 22421194      PMCID: PMC3533370          DOI: 10.1158/1078-0432.CCR-11-2696

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


  32 in total

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2.  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

3.  Intratumor genomic heterogeneity in breast cancer with clonal divergence between primary carcinomas and lymph node metastases.

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Journal:  Breast Cancer Res Treat       Date:  2006-08-09       Impact factor: 4.872

4.  PIK3CA mutations in patients with advanced cancers treated with PI3K/AKT/mTOR axis inhibitors.

Authors:  Filip Janku; Apostolia M Tsimberidou; Ignacio Garrido-Laguna; Xuemei Wang; Rajyalakshmi Luthra; David S Hong; Aung Naing; Gerald S Falchook; John W Moroney; Sarina A Piha-Paul; Jennifer J Wheler; Stacy L Moulder; Siqing Fu; Razelle Kurzrock
Journal:  Mol Cancer Ther       Date:  2011-01-07       Impact factor: 6.261

5.  Mutation of the PIK3CA gene in ovarian and breast cancer.

Authors:  Ian G Campbell; Sarah E Russell; David Y H Choong; Karen G Montgomery; Marianne L Ciavarella; Christine S F Hooi; Briony E Cristiano; Richard B Pearson; Wayne A Phillips
Journal:  Cancer Res       Date:  2004-11-01       Impact factor: 12.701

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Journal:  Nature       Date:  2011-03-13       Impact factor: 49.962

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.  PIK3CA mutation associates with improved outcome in breast cancer.

Authors:  Kevin Kalinsky; Lindsay M Jacks; Adriana Heguy; Sujata Patil; Marija Drobnjak; Umeshkumar K Bhanot; Cyrus V Hedvat; Tiffany A Traina; David Solit; William Gerald; Mary Ellen Moynahan
Journal:  Clin Cancer Res       Date:  2009-08-11       Impact factor: 12.531

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Journal:  Nature       Date:  2010-10-28       Impact factor: 49.962

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  120 in total

Review 1.  Circulating tumour cells and cell-free DNA as tools for managing breast cancer.

Authors:  Leticia De Mattos-Arruda; Javier Cortes; Libero Santarpia; Ana Vivancos; Josep Tabernero; Jorge S Reis-Filho; Joan Seoane
Journal:  Nat Rev Clin Oncol       Date:  2013-05-28       Impact factor: 66.675

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Authors:  Sarah-Jane Dawson
Journal:  Cold Spring Harb Perspect Med       Date:  2019-04-01       Impact factor: 6.915

3.  Analysis of circulating DNA and protein biomarkers to predict the clinical activity of regorafenib and assess prognosis in patients with metastatic colorectal cancer: a retrospective, exploratory analysis of the CORRECT trial.

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Journal:  Lancet Oncol       Date:  2015-07-13       Impact factor: 41.316

4.  Comparative clinical utility of tumor genomic testing and cell-free DNA in metastatic breast cancer.

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Review 5.  Translating metastasis-related biomarkers to the clinic--progress and pitfalls.

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6.  Phosphoinositide-3-kinase, catalytic, alpha polypeptide RNA interference inhibits growth of colon cancer cell SW948.

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Journal:  World J Gastroenterol       Date:  2012-07-14       Impact factor: 5.742

Review 7.  Mutation distributions and clinical correlations of PIK3CA gene mutations in breast cancer.

Authors:  Ebubekir Dirican; Mustafa Akkiprik; Ayşe Özer
Journal:  Tumour Biol       Date:  2016-02-26

Review 8.  Biomarkers in melanoma: where are we now?

Authors:  Douglas B Johnson; Ryan J Sullivan
Journal:  Melanoma Manag       Date:  2014-12-04

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

Authors:  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
Journal:  Clin Cancer Res       Date:  2014-02-06       Impact factor: 12.531

Review 10.  Latest development of liquid biopsy.

Authors:  Alvin Ho-Kwan Cheung; Chit Chow; Ka-Fai To
Journal:  J Thorac Dis       Date:  2018-06       Impact factor: 2.895

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