Literature DB >> 25736040

PIK3CA mutations in serum DNA are predictive of recurrence in primary breast cancer patients.

Chiya Oshiro1, Naofumi Kagara, Yasuto Naoi, Masafumi Shimoda, Atsushi Shimomura, Naomi Maruyama, Kenzo Shimazu, Seung Jin Kim, Shinzaburo Noguchi.   

Abstract

We attempted to develop a highly sensitive and specific method for the detection of circulating tumor DNA (ctDNA) using a digital PCR (dPCR) assay for PIK3CA mutations (i.e., H1047R, E545K, and E542K) in primary breast cancer patients. The sensitivity of the dPCR assay for the mutant alleles was examined using cell lines with PIK3CA mutations and proved to be 0.01 %. Serum samples were collected pre-operatively from 313 stage I-III breast cancer patients, of whom 110 were found to have PIK3CA mutant tumors. The serum samples from these patients with PIK3CA mutant tumors were subjected to the dPCR assay, and 25 (22.7 %) were found to be positive. No PIK3CA mutant ctDNA was detected in the serum samples of 50 healthy women and 30 breast cancer patients with PIK3CA non-mutant tumors. The patients with PIK3CA mutant ctDNA were dichotomized into mutant ctDNA-high (ctDNA(high)) and ctDNA-low (ctDNA(low)) groups based on the median. The ctDNA(high) patients exhibited significantly shorter recurrence-free survival (RFS; P = 0.0002) and overall survival rates (OS; P = 0.0048) compared to those exhibited by the combined ctDNA(low) patient and ctDNA-free patient group. Multivariate analysis revealed that ctDNA(high) status significantly predicted poor RFS and OS and did so independently of conventional histological parameters. These results suggest that dPCR is a highly sensitive and specific method for the detection of PIK3CA mutant ctDNA and that ctDNA(high) but not ctDNA(low) status is a significant and independent prognostic factor for primary breast cancer patients.

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Year:  2015        PMID: 25736040     DOI: 10.1007/s10549-015-3322-6

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  42 in total

1.  Drainage of Tumor-Derived DNA into Sentinel Lymph Nodes in Breast Cancer Patients.

Authors:  Yukiko Miyamura; Naofumi Kagara; Tomohiro Miyake; Tomonori Tanei; Yasuto Naoi; Masafumi Shimoda; Kenzo Shimazu; Seung Jin Kim; Shinzaburo Noguchi
Journal:  Pathol Oncol Res       Date:  2019-02-25       Impact factor: 3.201

2.  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

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

Review 5.  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

6.  Detection of PIK3CA Mutations in Plasma DNA of Colorectal Cancer Patients by an Ultra-Sensitive PNA-Mediated PCR.

Authors:  Qian Zeng; Li Xie; Na Zhou; Min Liu; Xianrang Song
Journal:  Mol Diagn Ther       Date:  2017-08       Impact factor: 4.074

Review 7.  Liquid biopsy: unlocking the potentials of cell-free DNA.

Authors:  David Chu; Ben Ho Park
Journal:  Virchows Arch       Date:  2017-05-02       Impact factor: 4.064

Review 8.  Liquid biopsies come of age: towards implementation of circulating tumour DNA.

Authors:  Jonathan C M Wan; Charles Massie; Javier Garcia-Corbacho; Florent Mouliere; James D Brenton; Carlos Caldas; Simon Pacey; Richard Baird; Nitzan Rosenfeld
Journal:  Nat Rev Cancer       Date:  2017-02-24       Impact factor: 60.716

Review 9.  Cell-free circulating tumour DNA as a liquid biopsy in breast cancer.

Authors:  Leticia De Mattos-Arruda; Carlos Caldas
Journal:  Mol Oncol       Date:  2015-12-17       Impact factor: 6.603

Review 10.  The value of cell-free DNA for molecular pathology.

Authors:  Caitlin M Stewart; Prachi D Kothari; Florent Mouliere; Richard Mair; Saira Somnay; Ryma Benayed; Ahmet Zehir; Britta Weigelt; Sarah-Jane Dawson; Maria E Arcila; Michael F Berger; Dana Wy Tsui
Journal:  J Pathol       Date:  2018-03-12       Impact factor: 7.996

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