Literature DB >> 28625653

Most T790M mutations are present on the same EGFR allele as activating mutations in patients with non-small cell lung cancer.

Noriko Hidaka1, Eiji Iwama2, Naoki Kubo3, Taishi Harada1, Kohta Miyawaki4, Kentaro Tanaka1, Isamu Okamoto1, Eishi Baba5, Koichi Akashi4, Hiroyuki Sasaki6, Yoichi Nakanishi1.   

Abstract

OBJECTIVES: The T790M and C797S mutations of the epidermal growth factor receptor gene (EGFR) confer resistance to first- and third-generation EGFR tyrosine kinase inhibitors (TKIs), respectively, in patients with non-small cell lung cancer (NSCLC) harboring activating mutations of EGFR. C797S has been identified in cis or in trans with T790M in tumor specimens from patients who experienced treatment failure with first- and third-generation EGFR-TKIs. The allelic relation between T790M and activating mutations of EGFR has not been well characterized, however. We have now developed a digital polymerase chain reaction (dPCR)-based method for determination of the allelic relation between two types of EGFR mutation (T790M and either C797S or an activating mutation).
MATERIALS AND METHODS: Seven clinical NSCLC specimens and two NSCLC cell lines harboring both an activating mutation and T790M were analyzed with this new method to identify the allelic relation between these EGFR mutations.
RESULTS: The median ratio of the number of alleles positive for both an activating mutation and T790M to the number of T790M-positive alleles was 97.1% (range, 90.0-100%). Confirmatory analysis by next-generation sequencing yielded a corresponding value of 96.7% (range, 89.1-99.5%). Our dPCR method thus reliably identifies the allelic relation between two EGFR mutations in a quantitative manner.
CONCLUSIONS: Almost all T790M mutations were detected in cis with activating mutations of EGFR regardless of the de novo or acquired status of T790M, with cancer cells harboring T790M and activating mutations on the same allele appearing to be selected and enriched during EGFR-TKI treatment.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Allele; Digital PCR; Epidermal growth factor receptor (EGFR); Lung cancer; Mutation

Mesh:

Substances:

Year:  2017        PMID: 28625653     DOI: 10.1016/j.lungcan.2017.02.019

Source DB:  PubMed          Journal:  Lung Cancer        ISSN: 0169-5002            Impact factor:   5.705


  11 in total

1.  Highly Sensitive Droplet Digital PCR Method for Detection of de novo EGFR T790M Mutation in Patients with Non-Small Cell Lung Cancer.

Authors:  Xun Wang; Xiao Li; Haifa Guo; Lingxiang Zhu; Zhiyong Peng; Jun Wang; Fan Yang; Yong Guo
Journal:  Onco Targets Ther       Date:  2020-10-22       Impact factor: 4.147

2.  Diplotype analysis of NUDT15 variants and 6-mercaptopurine sensitivity in pediatric lymphoid neoplasms.

Authors:  Shinichi Tsujimoto; Tomoo Osumi; Meri Uchiyama; Ryota Shirai; Takaya Moriyama; Rina Nishii; Yuji Yamada; Ko Kudo; Masahiro Sekiguchi; Yuki Arakawa; Masanori Yoshida; Toru Uchiyama; Kiminori Terui; Shuichi Ito; Katsuyoshi Koh; Junko Takita; Etsuro Ito; Daisuke Tomizawa; Atsushi Manabe; Nobutaka Kiyokawa; Jun J Yang; Motohiro Kato
Journal:  Leukemia       Date:  2018-07-02       Impact factor: 11.528

3.  The diagnostic value of circulating tumor cells and ctDNA for gene mutations in lung cancer.

Authors:  Mengyuan Lyu; Jian Zhou; Kang Ning; Binwu Ying
Journal:  Onco Targets Ther       Date:  2019-04-05       Impact factor: 4.147

Review 4.  Potential genetic modifiers for somatic EGFR mutation in lung cancer: a meta-analysis and literature review.

Authors:  Yue I Cheng; Yun Cui Gan; Dan Liu; Michael P A Davies; Wei Min Li; John K Field
Journal:  BMC Cancer       Date:  2019-11-08       Impact factor: 4.430

5.  Combination of tissue and liquid biopsy molecular profiling to detect transformation to small cell lung carcinoma during osimertinib treatment.

Authors:  Julie A Vendrell; Xavier Quantin; Isabelle Serre; Jérôme Solassol
Journal:  Ther Adv Med Oncol       Date:  2020-12-18       Impact factor: 8.168

6.  Non-invasive detection of EGFR mutations by cell-free loop-mediated isothermal amplification (CF-LAMP).

Authors:  Srividya Arjuna; Rajesh Venkataram; Pandyanda Nanjappa Dechamma; Gunimala Chakraborty; Nishith Babu; Audrey D'Cruz; Giridhar Belur Hosmane; Anirban Chakraborty
Journal:  Sci Rep       Date:  2020-10-16       Impact factor: 4.379

Review 7.  Utility of the Ba/F3 cell system for exploring on-target mechanisms of resistance to targeted therapies for lung cancer.

Authors:  Takamasa Koga; Kenichi Suda; Tetsuya Mitsudomi
Journal:  Cancer Sci       Date:  2022-01-23       Impact factor: 6.716

8.  Mutational Profiling of Non-Small-Cell Lung Cancer Resistant to Osimertinib Using Next-Generation Sequencing in Chinese Patients.

Authors:  Keke Nie; Haiping Jiang; Chunling Zhang; Chuanxin Geng; Xiajuan Xu; Ling Zhang; Hao Zhang; Zhongfa Zhang; Ketao Lan; Youxin Ji
Journal:  Biomed Res Int       Date:  2018-03-11       Impact factor: 3.411

9.  Competitive evolution of NSCLC tumor clones and the drug resistance mechanism of first-generation EGFR-TKIs in Chinese NSCLC patients.

Authors:  Qinfang Deng; Boxiong Xie; Leilei Wu; Xianxiu Ji; Chao Li; Li Feng; Qiyu Fang; Yuchen Bao; Jialu Li; Shengnan Jin; Chunming Ding; Yixue Li; Songwen Zhou
Journal:  Heliyon       Date:  2018-12-19

10.  Phase and context shape the function of composite oncogenic mutations.

Authors:  Alexander N Gorelick; Francisco J Sánchez-Rivera; Yanyan Cai; Craig M Bielski; Evan Biederstedt; Philip Jonsson; Allison L Richards; Neil Vasan; Alexander V Penson; Noah D Friedman; Yu-Jui Ho; Timour Baslan; Chaitanya Bandlamudi; Maurizio Scaltriti; Nikolaus Schultz; Scott W Lowe; Ed Reznik; Barry S Taylor
Journal:  Nature       Date:  2020-05-27       Impact factor: 69.504

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.