Literature DB >> 30128808

Highly sensitive and specific real-time PCR by employing serial invasive reaction as a sequence identifier for quantifying EGFR mutation abundance in cfDNA.

Zheng Xiang1, Ruixuan Wan1, Bingjie Zou2, Xiemin Qi2, Qing Huang2, Shalen Kumar3, Janet L Pitman3, Guohua Zhou4,5, Qinxin Song6,7.   

Abstract

Detection of EGFR mutations in circulating cell-free DNA (cfDNA) is beneficial to monitor the therapeutic effect, tumor progression, and drug resistance in real time. However, it requires that the mutation detection method has the ability to quantify the mutation abundance accurately. Although the next-generation sequencing (NGS) and digital PCR showed high sensitivity for quantifying mutations in cfDNA, the use of expensive equipment and the high-cost hampered their applications in the clinic. Herein, we propose a highly sensitive and specific real-time PCR by employing serial invasive reaction as a sequence identifier for quantifying EGFR mutation abundance in cfDNA (termed as qPCR-Invader). The mutation abundance can be quantified by using the difference of Ct values between mutant and wild-type targets without the need of making a standard curve. The method can quantify a mutation level as lower as 0.1% (10 copies/tube). Thirty-six tissue samples from non-small-cell lung cancer (NSCLC) patients were detected by our method and 14/36 tissues gave EGFR L858R mutation-positive results, whereas ARMS-PCR just identified 12 of L858R mutant samples. The two inconsistent samples were confirmed as L858R mutant by pyrophosphorolysis-activated polymerization method, indicating that qPCR-Invader is more sensitive than ARMS-PCR for mutation detection. The L858R mutation abundances of 19 cfDNA samples detected by qPCR-Invader were close to that from NGS, indicating our method can precisely quantify mutation abundance in cfDNA. The qPCR-Invader just needs a common real-time PCR device to accomplish quantification of EGFR mutations, and the fluorescence probes are universal for any target detection. Therefore, it could be used in most laboratories to analyze mutations in cfDNA. Graphical abstract ᅟ.

Entities:  

Keywords:  Circulating cell-free DNA; EGFR mutations; Invader reaction; Mutation abundance detection; Real-time PCR

Mesh:

Substances:

Year:  2018        PMID: 30128808     DOI: 10.1007/s00216-018-1316-z

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  7 in total

1.  Plasma cfDNA for the Diagnosis and Prognosis of Colorectal Cancer.

Authors:  Zhiwei Wu; Lijiang Yu; Juan Hou; Lihua Cui; Yufeng Huang; Qing Chen; Yan Sun; Wangkun Lu; Chenggong Zhang; Di Sun
Journal:  J Oncol       Date:  2022-05-31       Impact factor: 4.501

2.  The Associations of rs1799724 and rs361525 With the Risk of Ankylosing Spondylitis Are Dependent on HLA-B27 Status in a Chinese Han Population.

Authors:  Nan Sheng; Yingying Gao; Hui Li; Wenwen Wang; Linyu Geng; Bo Zhang; Qiang Huang; Xueqin Wang; Lingyun Sun
Journal:  Front Immunol       Date:  2022-04-05       Impact factor: 8.786

3.  Plasma EGFR mutation abundance affects clinical response to first-line EGFR-TKIs in patients with advanced non-small cell lung cancer.

Authors:  Xiaohong Wang; Yonggang Liu; Zhiying Meng; Yun Wu; Shubin Wang; Gaowa Jin; Yingchun Qin; Fengyun Wang; Jing Wang; Haifei Zhou; Xiaoxing Su; Xiuhua Fu; Xiaolan Wang; Xiaoyu Shi; Zhenping Wen; Xiaoqiong Jia; Qiong Qin; Yongqiang Gao; Weidong Guo; Shun Lu
Journal:  Ann Transl Med       Date:  2021-04

Review 4.  Genetics of Ocular Melanoma: Insights into Genetics, Inheritance and Testing.

Authors:  Natasha M van Poppelen; Daniël P de Bruyn; Tolga Bicer; Rob Verdijk; Nicole Naus; Hanneke Mensink; Dion Paridaens; Annelies de Klein; Erwin Brosens; Emine Kiliҫ
Journal:  Int J Mol Sci       Date:  2020-12-30       Impact factor: 5.923

Review 5.  Clinical Applications of Circulating Tumour Cells and Circulating Tumour DNA in Non-Small Cell Lung Cancer-An Update.

Authors:  Joanna Kapeleris; Majid Ebrahimi Warkiani; Arutha Kulasinghe; Ian Vela; Liz Kenny; Rahul Ladwa; Kenneth O'Byrne; Chamindie Punyadeera
Journal:  Front Oncol       Date:  2022-03-15       Impact factor: 6.244

6.  Taqman-MGB nanoPCR for Highly Specific Detection of Single-Base Mutations.

Authors:  Zhenrui Xue; Minli You; Ping Peng; Haoyang Tong; Wanghong He; Ang Li; Ping Mao; Ting Xu; Feng Xu; Chunyan Yao
Journal:  Int J Nanomedicine       Date:  2021-05-28

7.  Detection and discrimination of influenza B Victoria lineage deletion variant viruses by real-time RT-PCR.

Authors:  Bo Shu; Marie K Kirby; Christine Warnes; Wendy M Sessions; William G Davis; Ji Liu; Malania M Wilson; Stephen Lindstrom; David E Wentworth; John R Barnes
Journal:  Euro Surveill       Date:  2020-10
  7 in total

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