4.7 Article

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

Journal

MOLECULAR ONCOLOGY
Volume 16, Issue 2, Pages 549-561

Publisher

WILEY
DOI: 10.1002/1878-0261.13105

Keywords

biomarker; ctDNA; hepatocellular carcinoma; tumor recurrence

Categories

Funding

  1. National Natural Science Foundation of China [81773067, 82073217, 82073218, 82003084]
  2. Shanghai Municipal Science and Technology Major Project [2018SHZDZX05]
  3. Shanghai Municipal Key Clinical Specialty, CAMS Innovation Fund for Medical Sciences (CIFMS) [2019-I2M-5-058]
  4. National Key R&D Program of China [2020YFE0202200]

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In this study, the value of ctDNA in predicting early tumor recurrence and monitoring tumor burden in HCC patients was investigated. The presence of certain gene mutations in ctDNA, such as NRAS, NEF2L2, and MET, was associated with shorter time to recurrence, showing high predictive performance. Additionally, the median VAF of mutations in preoperative ctDNA served as a strong independent predictor of RFS for individuals with HCC.
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.

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