Identification of tumor mutations in plasma based on mutation variant frequency change (MVFC)

Autor: Geng Chen, Fang Peng, Xiuqing Dong, Zhixiong Cai, Zhenli Li, Lei He, Jinpan Hu, Xiaoxu Deng, Yutong Guo, Liman Qiu, Yang Zhou, Jingfeng Liu, Huqin Zhang, Xiaolong Liu
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Molecular Oncology, Vol 17, Iss 9, Pp 1871-1883 (2023)
Druh dokumentu: article
ISSN: 1878-0261
1574-7891
DOI: 10.1002/1878-0261.13498
Popis: To overcome the dependency of strategies utilizing cell‐free DNA (cfDNA) on tissue sampling, the emergence of sequencing panels for non‐invasive mutation screening was promoted. However, cfDNA sequencing with panels still suffers from either inaccuracy or omission, and novel approaches for accurately screening tumor mutations solely based on plasma without gene panel restriction are urgently needed. We performed unique molecular identifier (UMI) target sequencing on plasma samples and peripheral blood mononuclear cells (PBMCs) from 85 hepatocellular carcinoma (HCC) patients receiving surgical resection, which were divided into an exploration dataset (20 patients) or an evaluation dataset (65 patients). Plasma mutations were identified in pre‐operative plasma, and the mutation variant frequency change (MVFC) between post‐ and pre‐operative plasma was then calculated. In the exploration dataset, we observed that plasma mutations with MVFC
Databáze: Directory of Open Access Journals
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