Literature DB >> 21976538

Quantitative detection of EGFR mutations in circulating tumor DNA derived from lung adenocarcinomas.

Kazuya Taniguchi1, Junji Uchida, Kazumi Nishino, Toru Kumagai, Takako Okuyama, Jiro Okami, Masahiko Higashiyama, Ken Kodama, Fumio Imamura, Kikuya Kato.   

Abstract

PURPOSE: Examination of somatic epidermal growth factor receptor (EGFR) mutations is now a diagnostic routine for treatment of cancer using EGFR tyrosine kinase inhibitors (EGFR-TKI). Circulating tumor DNA is a promising target for noninvasive diagnostics. We evaluated its utility by quantitatively detecting activating and resistant mutations, which were measured with BEAMing (beads, emulsion, amplification, and magnetics). EXPERIMENTAL
DESIGN: Twenty-three patients with lung cancer with progressive disease after EGFR-TKI treatment and 21 patients who had never been treated with EGFR-TKIs were studied. Their primary tumors were confirmed to have activating mutations. In the plasma DNA of each patient, the activating mutation found in the corresponding primary tumor and the T790M resistance mutation were quantified by BEAMing.
RESULTS: In 32 of 44 patients, activating mutations were detected in the plasma DNA [72.7%; 95% confidence interval (CI), 58.0%-83.6%]. The T790M mutation was detected in 10 of 23 patients in the first group (43.5%; 95% CI, 25.6%-53.4%). The ratio of T790M to activating mutations ranged from 13.3% to 94.0%. The peak of the distribution of the mutation allele fraction in the plasma DNA was in the 0.1% to 1% range.
CONCLUSIONS: The major advantage of BEAMing is its ability to calculate the fraction of T790M-positive alleles from the alleles with activating mutations. This feature enables the detection of increases and decreases in the number of T790M mutations in cancer cells, regardless of normal cell DNA contamination, which may be useful for monitoring disease progression. Circulating tumor DNA could potentially be used as an alternative method for EGFR mutation detection. ©2011 AACR.

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Year:  2011        PMID: 21976538     DOI: 10.1158/1078-0432.CCR-11-1712

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


  138 in total

Review 1.  Non-coding RNAs in cancer initiation and progression and as novel biomarkers.

Authors:  S Patrick Nana-Sinkam; Carlo M Croce
Journal:  Mol Oncol       Date:  2011-10-31       Impact factor: 6.603

2.  BEAMing sheds light on drug resistance.

Authors:  Josh Lauring; Ben Ho Park
Journal:  Clin Cancer Res       Date:  2011-11-07       Impact factor: 12.531

Review 3.  Critical issues in the clinical application of liquid biopsy in non-small cell lung cancer.

Authors:  Mariangela Manicone; Cristina Poggiana; Antonella Facchinetti; Rita Zamarchi
Journal:  J Thorac Dis       Date:  2017-10       Impact factor: 2.895

Review 4.  New insights in non-small-cell lung cancer: circulating tumor cells and cell-free DNA.

Authors:  Elena Duréndez-Sáez; Aitor Azkárate; Marina Meri; Silvia Calabuig-Fariñas; Cristóbal Aguilar-Gallardo; Ana Blasco; Eloisa Jantus-Lewintre; Carlos Camps
Journal:  J Thorac Dis       Date:  2017-10       Impact factor: 2.895

Review 5.  Role of quantitative and qualitative characteristics of free circulating DNA in the management of patients with non-small cell lung cancer.

Authors:  Paola Ulivi; Rosella Silvestrini
Journal:  Cell Oncol (Dordr)       Date:  2013-11-01       Impact factor: 6.730

Review 6.  Liquid Biopsies in the Screening of Oncogenic Mutations in NSCLC and its Application in Targeted Therapy.

Authors:  Jason H Tang; David Chia
Journal:  Crit Rev Oncog       Date:  2015

7.  Comparison of the Amplification Refractory Mutation System, Super Amplification Refractory Mutation System, and Droplet Digital PCR for T790 M Mutation Detection in Non-small Cell Lung Cancer after Failure of Tyrosine Kinase Inhibitor Treatment.

Authors:  Lucheng Zhu; Shirong Zhang; Yanping Xun; Yanping Jiang; Bing Xia; Xueqin Chen; Limin Wang; Hong Jiang; Shenglin Ma
Journal:  Pathol Oncol Res       Date:  2017-09-03       Impact factor: 3.201

Review 8.  Predicting Radiotherapy Responses and Treatment Outcomes Through Analysis of Circulating Tumor DNA.

Authors:  Aadel A Chaudhuri; Michael S Binkley; Evan C Osmundson; Ash A Alizadeh; Maximilian Diehn
Journal:  Semin Radiat Oncol       Date:  2015-05-15       Impact factor: 5.934

9.  Detection of circulating tumor DNA in early- and late-stage human malignancies.

Authors:  Chetan Bettegowda; Mark Sausen; Rebecca J Leary; Isaac Kinde; Yuxuan Wang; Nishant Agrawal; Bjarne R Bartlett; Hao Wang; Brandon Luber; Rhoda M Alani; Emmanuel S Antonarakis; Nilofer S Azad; Alberto Bardelli; Henry Brem; John L Cameron; Clarence C Lee; Leslie A Fecher; Gary L Gallia; Peter Gibbs; Dung Le; Robert L Giuntoli; Michael Goggins; Michael D Hogarty; Matthias Holdhoff; Seung-Mo Hong; Yuchen Jiao; Hartmut H Juhl; Jenny J Kim; Giulia Siravegna; Daniel A Laheru; Calogero Lauricella; Michael Lim; Evan J Lipson; Suely Kazue Nagahashi Marie; George J Netto; Kelly S Oliner; Alessandro Olivi; Louise Olsson; Gregory J Riggins; Andrea Sartore-Bianchi; Kerstin Schmidt; le-Ming Shih; Sueli Mieko Oba-Shinjo; Salvatore Siena; Dan Theodorescu; Jeanne Tie; Timothy T Harkins; Silvio Veronese; Tian-Li Wang; Jon D Weingart; Christopher L Wolfgang; Laura D Wood; Dongmei Xing; Ralph H Hruban; Jian Wu; Peter J Allen; C Max Schmidt; Michael A Choti; Victor E Velculescu; Kenneth W Kinzler; Bert Vogelstein; Nickolas Papadopoulos; Luis A Diaz
Journal:  Sci Transl Med       Date:  2014-02-19       Impact factor: 17.956

Review 10.  Current challenges for detection of circulating tumor cells and cell-free circulating nucleic acids, and their characterization in non-small cell lung carcinoma patients. What is the best blood substrate for personalized medicine?

Authors:  Marius Ilie; Véronique Hofman; Elodie Long; Olivier Bordone; Eric Selva; Kevin Washetine; Charles Hugo Marquette; Paul Hofman
Journal:  Ann Transl Med       Date:  2014-11
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