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在无血浆细胞 DNA 中对一组新的体细胞突变的检测及其对肝细胞癌的诊断价值
Authors Xiong Y, Xie CR, Zhang S, Chen J, Yin ZY
Received 18 December 2018
Accepted for publication 24 April 2019
Published 28 June 2019 Volume 2019:11 Pages 5745—5756
DOI https://doi.org/10.2147/CMAR.S197455
Checked for plagiarism Yes
Review by Single-blind
Peer reviewers approved by Dr Cristina Weinberg
Peer reviewer comments 3
Editor who approved publication: Dr Antonella D'Anneo
Background/aims: Circulating cell-free DNA (cfDNA) contains tumor-specific alterations and could potentially serve as “liquid biopsy”. The study was to identify a novel panel of hepatocellular carcinoma (HCC)-specific mutations in plasma cfDNA and to assess its value in the diagnosis of HCC.
Materials and methods: 33 HCC tissue, 37 blood, and 37 swab specimens were collected from HCC patients and control individuals. Genomic DNA was subjected to next-generation sequencing. The selected mutations in the plasma cfDNA in the HCC versus control groups were compared, and the diagnostic performance of cfDNA mutations was evaluated.
Results: A majority of selected mutations in the HCC tissue DNA, ranging from 52% to 84%, was detected in the matched plasma cfDNA. For the selected mutations, receiver operating characteristic (ROC) analysis revealed an area under the ROC curve (AUC) of 0.92, sensitivity of 65%, and specificity of 100% for the diagnosis of HCC regardless of alpha-fetoprotein (AFP) status. Detection of the selected mutations in cfDNA in combination with AFP exhibited better diagnosis performance, with AUC of 0.96, sensitivity of 73%, and specificity of 100% for AFP-negative patients, whereas the AUC was 0.86 with sensitivity of 53% and specificity of 100% for AFP-positive patients. Furthermore, the rates of the selected mutations were significantly greater in recurrent HCC than in non-recurrent HCC (P <0.05).
Conclusions: This study has identified a novel panel of somatic mutations, and detection of the mutations in plasma cfDNA shows good diagnostic performance. Therefore, this approach holds promise as a novel tool for diagnosing HCC.
Keywords: cell-free DNA, hepatocellular carcinoma, next-generation sequencing, alpha-fetoprotein, somatic mutation
