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An ultrasensitive method for detecting mutations from short and rare cell-free DNA.

Authors :
Wang, Lin
Zhuang, Yu
Yu, Yue
Guo, Zhiwei
Guo, Qiaomei
Qiao, Lihua
Wang, Xueqing
Liang, Xiaohui
Zhang, Pengpeng
Li, Qifan
Huang, Chenjun
Cong, Rong
Li, Yinghui
Che, Bin
Xiong, Huihui
Lin, Guomin
Rao, Mingming
Hu, Rongjun
Wang, Wei
Yang, Guohua
Source :
Biosensors & Bioelectronics. Oct2023, Vol. 238, pN.PAG-N.PAG. 1p.
Publication Year :
2023

Abstract

Circulating tumor DNA (ctDNA) was short and rare, making the detection performance of the current targeted sequencing methods unsatisfying. We developed the One-PrimER Amplification (OPERA) system and examined its performance in detecting mutations of low variant allelic frequency (VAF) in various samples with short-sized DNA fragments. In cell line-derived samples containing sonication-sheared DNA fragments with 50-150 bp, OPERA was capable of detecting mutations as low as 0.0025% VAF, while CAPP-Seq only detected mutations of >0.03% VAF. Both single nucleotide variant and insertion/deletion can be detected by OPERA. In synthetic fragments as short as 80 bp with low VAF (0.03%-0.1%), the detection sensitivity of OPERA was significantly higher compared to that of droplet digital polymerase chain reaction. The error rate was 5.9×10-5 errors per base after de-duplication in plasma samples collected from healthy volunteers. By suppressing "single-strand errors", the error rate can be further lowered by >5 folds in EGFR T790M hotspot. In plasma samples collected from lung cancer patients, OPERA detected mutations in 57.1% stage I patients with 100% specificity and achieved a sensitivity of 30.0% in patients with tumor volume of less than 1 cm3. OPERA can effectively detect mutations in rare and highly-fragmented DNA. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09565663
Volume :
238
Database :
Academic Search Index
Journal :
Biosensors & Bioelectronics
Publication Type :
Academic Journal
Accession number :
170084935
Full Text :
https://doi.org/10.1016/j.bios.2023.115548