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

Author:

Chen Geng1,Peng Fang23,Dong Xiuqing2,Cai Zhixiong2,Li Zhenli2,He Lei23,Hu Jinpan23,Deng Xiaoxu23,Guo Yutong23,Qiu Liman2,Zhou Yang2,Liu Jingfeng2,Zhang Huqin1ORCID,Liu Xiaolong2ORCID

Affiliation:

1. School of Life Science and Technology Xi'an Jiaotong University China

2. The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province Mengchao Hepatobiliary Hospital of Fujian Medical University Fuzhou China

3. Mengchao Med‐X Center Fuzhou University China

Abstract

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 < 0.2 were enriched for tumor mutations identified in tumor tissues and had frequency changes that correlated with tumor burden; these plasma mutations were therefore defined as MVFC‐identified tumor mutations. The presence of MVFC‐identified tumor mutations after surgery was related to shorter relapse‐free survival (RFS) in both datasets and thus indicated minimum residual disease (MRD). The combination of MVFC‐identified tumor mutations and Alpha Fetoprotein (AFP) could further improve MRD detection (P < 0.0001). Identification of tumor mutations based on MVFC was also confirmed to be applicable with a different gene panel. Overall, we proposed a novel strategy for non‐invasive tumor mutation screening using solely plasma that could be utilized in HCC tumor‐burden monitoring and MRD detection.

Publisher

Wiley

Subject

Cancer Research,Genetics,Molecular Medicine,General Medicine,Oncology

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