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author:

Chen, G. (Chen, G..) [1] | Peng, F. (Peng, F..) [2] | Dong, X. (Dong, X..) [3] | Cai, Z. (Cai, Z..) [4] | Li, Z. (Li, Z..) [5] | He, L. (He, L..) [6] | Hu, J. (Hu, J..) [7] | Deng, X. (Deng, X..) [8] | Guo, Y. (Guo, Y..) [9] | Qiu, L. (Qiu, L..) [10] | Zhou, Y. (Zhou, Y..) [11] | Liu, J. (Liu, J..) [12] | Zhang, H. (Zhang, H..) [13] | Liu, X. (Liu, X..) [14]

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Scopus

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. © 2023 The Authors. Molecular Oncology published by John Wiley & Sons Ltd on behalf of Federation of European Biochemical Societies.

Keyword:

cfDNA hepatocellular carcinoma liquid biopsy minimum residual disease variant frequency change

Community:

  • [ 1 ] [Chen G.]School of Life Science and Technology, Xi'an Jiaotong University, China
  • [ 2 ] [Peng F.]The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, China
  • [ 3 ] [Peng F.]Mengchao Med-X Center, Fuzhou University, China
  • [ 4 ] [Dong X.]The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, China
  • [ 5 ] [Cai Z.]The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, China
  • [ 6 ] [Li Z.]The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, China
  • [ 7 ] [He L.]The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, China
  • [ 8 ] [He L.]Mengchao Med-X Center, Fuzhou University, China
  • [ 9 ] [Hu J.]The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, China
  • [ 10 ] [Hu J.]Mengchao Med-X Center, Fuzhou University, China
  • [ 11 ] [Deng X.]The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, China
  • [ 12 ] [Deng X.]Mengchao Med-X Center, Fuzhou University, China
  • [ 13 ] [Guo Y.]The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, China
  • [ 14 ] [Guo Y.]Mengchao Med-X Center, Fuzhou University, China
  • [ 15 ] [Qiu L.]The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, China
  • [ 16 ] [Zhou Y.]The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, China
  • [ 17 ] [Liu J.]The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, China
  • [ 18 ] [Zhang H.]School of Life Science and Technology, Xi'an Jiaotong University, China
  • [ 19 ] [Liu X.]The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, China

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Source :

Molecular Oncology

ISSN: 1574-7891

Year: 2023

Issue: 9

Volume: 17

Page: 1871-1883

5 . 0

JCR@2023

5 . 0 0 0

JCR@2023

ESI HC Threshold:47

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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