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Serial circulating tumor DNA to predict early recurrence in patients with hepatocellular carcinoma: a prospective study.

Authors :
Zhu, Gui‐Qi
Liu, Wei‐Ren
Tang, Zheng
Qu, Wei‐Feng
Fang, Yuan
Jiang, Xi‐Fei
Song, Shu‐Shu
Wang, Han
Tao, Chen‐Yang
Zhou, Pei‐Yun
Huang, Run
Gao, Jun
Sun, Hai‐Xiang
Ding, Zhen‐Bin
Peng, Yuan‐Fei
Dai, Zhi
Zhou, Jian
Fan, Jia
Shi, Ying‐Hong
Source :
Molecular Oncology; Jan2022, Vol. 16 Issue 2, p549-561, 13p
Publication Year :
2022

Abstract

We studied the value of circulating tumor DNA (ctDNA) in predicting early postoperative tumor recurrence and monitoring tumor burden in patients with hepatocellular carcinoma (HCC). Plasma‐free DNA, germline DNA, and tissue DNA were isolated from 41 patients with HCC. Serial ctDNAs were analyzed by next‐generation sequencing before and after operation. Whole‐exome sequencing was used to detect the DNA of HCC and adjacent tissues. In total, 47 gene mutations were identified in the ctDNA of the 41 patients analyzed before surgery. ctDNA was detected in 63.4% and 46% of the patient plasma pre‐ and postoperation, respectively. The preoperative ctDNA positivity rate was significantly lower in the nonrecurrence group than in the recurrence group. With a median follow‐up of 17.7 months, nine patients (22%) experienced tumor recurrence. ctDNA positivity at two time‐points was associated with significantly shorter recurrence‐free survival (RFS). Tumors with NRAS, NEF2L2, and MET mutations had significantly shorter times to recurrence than those without mutations and showed high recurrence prediction performance by machine learning. Multivariate analyses showed that the median variant allele frequency (VAF) of mutations in preoperative ctDNA was a strong independent predictor of RFS. ctDNA is a real‐time monitoring indicator that can accurately reflect tumor burden. The median VAF of baseline ctDNA is a strong independent predictor of RFS in individuals with HCC. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15747891
Volume :
16
Issue :
2
Database :
Supplemental Index
Journal :
Molecular Oncology
Publication Type :
Academic Journal
Accession number :
154715648
Full Text :
https://doi.org/10.1002/1878-0261.13105