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Developing a New qPCR-Based System for Screening Mutation

delete2019-01-24
delete10
PRE
AI
朱俊洁 封面图
朱俊洁 (Junjie Zhu)
Y
Yanfeng Zhao
刘明 封面图
刘明 (Ming Liu)
D
Diego González-Rivas
X
Xinnan Xu
W
Weijing Cai
H
Huiwei Qi
L
Lei Dai
王子剑 封面图
王子剑 (Zijian Wang)
X
Xiao Song
G
Gening Jiang
Y
Yang Yang *
DOI:10.1002/smll.201805285delete
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摘要

摘要

En 中文
An accurate genotyping analysis is one of the critical prerequisites for lung cancer targeted therapy. Here, a quantitative polymerase chain reaction (qPCR)-based mutation detection system, mutation-selected amplification-specific system PCR (MASS-PCR), is developed. The specific primers and probes used in MASS-PCR exactly match with the mutant sequence that only allows mutant gene to emit the fluorescence peak. To determine the sensitivity of MASS-PCR, 717 lung cancer specimens, 61 formalin-fixed paraffin-embedded (FFPE) tissues, and 656 fresh reaction tissues are collected and undergo mutation detection of lung cancer driver genes (EGFR, KRAS, BRAF, HER2, MET, ALK, and ROS1). These samples are divided into two groups. Mutations in Group I, which has 631 fresh reaction tissues, are analyzed by MASS-PCR and the amplification refractory mutation system PCR (ARMS-PCR). While group II samples, 25 fresh reaction tissues and 61 FFPE tissues, are screened through MASS-PCR and next-generation sequencing (NGS). All results are verified by direct sequencing. MASS-PCR shows high consistency with ARMS-PCR (kappa value > 0.733) and NGS (kappa value = 0.79) (P < 0.001). For the samples with inconsistent MASS-PCR and ARMS-PCR results, DS results more likely support the MASS-PCR results. These data suggest that MASS-PCR is a convenient, accurate, and economical method for the detection of lung cancer driver gene mutations in clinical practice.
Keyword:
amplification refractory mutation system PCR (ARMS-PCR)
direct sequencing
driver genes
mutation-selected amplification-specific system PCR (MASS-PCR)
next-generation sequencing
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期刊

Small 封面图
Small
IF:
12.1
论文数:
3.0W
被引数:
16.4W

机构

C
Complejo Hospitalario Universitario A Coruna
学者数:
3.0K
论文数: 2.2K
被引数: 10
T
tongji university
学者数:
7.9W
论文数: 6.0W
被引数: 98
引用论文

引用论文

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