Evidence map›Paper›PMID 36600275›Full record

ArticleClinical epigenetics2023

Hepatocellular carcinoma detection via targeted enzymatic methyl sequencing of plasma cell-free DNA.

Ping Guo, Hailing Zheng, Yihan Li, Yuntong Li, Yue Xiao, Jin Zheng, Xingqiang Zhu, Huan Xu, Zhi He, Qian Zhang and 5 more

Abstract read
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In one paragraph

Article in Clinical epigenetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Article
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  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Genetic screening of liver cancer: State of the art.World journal of hepatology · 2024
    Review
  14. Article
  15. Review
  16. Is Cell-Free DNA Testing in Hepatocellular Carcinoma Ready for Prime Time?International journal of molecular sciences · 2023
    Review
  17. Review
  18. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Ping Guo *School of Medicine, Huaqiao University, Xiamen, 361021, Fujian, People's Republic of China.
Hailing Zheng *Xiamen Vangenes Biotechnology CO., LTD, Xiamen, 361015, Fujian, People's Republic of China.
Yihan Li *Xiamen Hospital of Beijing University of Chinese Medicine, Xiamen, 361001, Fujian, People's Republic of China.
Yuntong LiZhongshan Hospital, Xiamen University, Xiamen, 361004, Fujian, People's Republic of China.
Yue XiaoXiamen Vangenes Biotechnology CO., LTD, Xiamen, 361015, Fujian, People's Republic of China.
Jin ZhengXiamen Vangenes Biotechnology CO., LTD, Xiamen, 361015, Fujian, People's Republic of China.
Xingqiang ZhuXiamen Vangenes Biotechnology CO., LTD, Xiamen, 361015, Fujian, People's Republic of China.
Huan XuXiamen Vangenes Biotechnology CO., LTD, Xiamen, 361015, Fujian, People's Republic of China.
Zhi HeXiamen Vangenes Biotechnology CO., LTD, Xiamen, 361015, Fujian, People's Republic of China.
Qian ZhangXiamen Hospital of Beijing University of Chinese Medicine, Xiamen, 361001, Fujian, People's Republic of China.
Jinchun ChenXiamen Hospital of Beijing University of Chinese Medicine, Xiamen, 361001, Fujian, People's Republic of China.
Mingshan QiuXiamen Hospital of Beijing University of Chinese Medicine, Xiamen, 361001, Fujian, People's Republic of China.
Min JiangThe Second Affiliated Hospital of Fujian University of Traditional Chinese Medicine, Fuzhou, 350003, Fujian, People's Republic of China.
Pingguo LiuZhongshan Hospital, Xiamen University, Xiamen, 361004, Fujian, People's Republic of China. pgliu@xmu.edu.cn.
Hongliang ChenXiamen Vangenes Biotechnology CO., LTD, Xiamen, 361015, Fujian, People's Republic of China. hlchen@xmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEpigenetic variants carried by circulating tumor DNA can be used as biomarkers for early detection of hepatocellular carcinoma (HCC) by noninvasive liquid biopsy. However, traditional methylation analysis method, bisulfite sequencing, with disadvantages of severe DNA damage, is limited in application of low-amount cfDNA analysis.

resultsThrough mild enzyme-mediated conversion, enzymatic methyl sequencing (EM-seq) is ideal for precise determination of cell-free DNA methylation and provides an opportunity for HCC early detection. EM-seq of methylation control DNA showed that enzymatic conversion of unmethylated C to U was more efficient than bisulfite conversion. Moreover, a relatively large proportion of incomplete converted EM-seq reads contains more than 3 unconverted CH site (CH = CC, CT or CA), which can be removed by filtering to improve accuracy of methylation detection by EM-seq. A cohort of 241 HCC, 76 liver disease, and 279 normal plasma samples were analyzed for methylation value on 1595 CpGs using EM-seq and targeted capture. Model training identified 283 CpGs with significant differences in methylation levels between HCC and non-HCC samples. A HCC screening model based on these markers can efficiently distinguish HCC sample from non-HCC samples, with area under the curve of 0.957 (sensitivity = 90%, specificity = 97%) in the test set, performing well in different stages as well as in serum α-fetoprotein/protein induced by vitamin K absence-II negative samples.

conclusionFiltering of reads with ≥ 3 CHs derived from incomplete conversion can significantly reduce the noise of EM-seq detection. Based on targeted EM-seq analysis of plasma cell-free DNA, our HCC screening model can efficiently distinguish HCC patients from non-HCC individuals with high sensitivity and specificity.

Indexed as

Carcinoma, HepatocellularCell-Free Nucleic AcidsLiver NeoplasmsBiomarkers, TumorDNA MethylationHumansSulfitesBiomarkers, TumorCell-Free Nucleic Acidshydrogen sulfiteSulfitesCancer screeningEnzymatic methyl sequencingHepatocellular carcinomaIncomplete ConversionLiquid biopsy

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.