Evidence map›Paper›PMID 25923138›Full record

ArticleGenetic testing and molecular biomarkers2015

Analysis of DNA methylation in plasma for monitoring hepatocarcinogenesis.

Wenqing Huang, Tong Li, Wenli Yang, Xinjuan Chai, Kefei Chen, Ling Wei, Shuwang Duan, Bo Li, Yang Qin

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genetic testing and molecular biomarkers, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 3 pooled it
2.0field-weighted citation impact, top 14% of its field
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

17 citing papers in PubMed, 3 syntheses or guidelines pooled it, 37 citations in OpenAlex.

  1. Pooled it
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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

9 authors at 1 institution in 1 country.

Wenqing Huang1 Department of Biochemistry and Molecular Biology, School of Preclinical and Forensic Medicine, West China Medical Center , Sichuan University, Chengdu, China .
Tong Li2 Department of Dermatology, West China Hospital, Sichuan University , Chengdu, China .
Wenli Yang1 Department of Biochemistry and Molecular Biology, School of Preclinical and Forensic Medicine, West China Medical Center , Sichuan University, Chengdu, China .
Xinjuan Chai1 Department of Biochemistry and Molecular Biology, School of Preclinical and Forensic Medicine, West China Medical Center , Sichuan University, Chengdu, China .
Kefei Chen3 Division of Liver Transplantation, Department of Surgery, West China Hospital , Chengdu, China .
Ling Wei1 Department of Biochemistry and Molecular Biology, School of Preclinical and Forensic Medicine, West China Medical Center , Sichuan University, Chengdu, China .
Shuwang Duan1 Department of Biochemistry and Molecular Biology, School of Preclinical and Forensic Medicine, West China Medical Center , Sichuan University, Chengdu, China .
Bo Li3 Division of Liver Transplantation, Department of Surgery, West China Hospital , Chengdu, China .
Yang Qin1 Department of Biochemistry and Molecular Biology, School of Preclinical and Forensic Medicine, West China Medical Center , Sichuan University, Chengdu, China .
West China Hospital of Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo explore whether the aberrant DNA methylation status in plasma could be used as a biomarker for hepatocellular carcinoma (HCC) screening among high-risk individuals.

methodsThe promoter methylation status of ELF, RASSF1A, p16, and GSTP1 was investigated by methylation-specific polymerase chain reaction (PCR) in 34 paired HCC and nontumor liver tissue from HCC patients and 10 tissues from patients with liver cirrhosis (LC). Plasma samples from 31 HCC patients, 10 LC patients as well as 7 patients with benign hepatic conditions were also collected and characterized using the same method.

resultsAmong liver specimens, HCC tissues displayed a significantly higher methylation frequency of each gene compared with nontumor tissue (p<0.05). Moreover, the frequency was much higher in tumor tissues than in nontumor tissue, when the data from two or three genes were combined (p=0.001 and p<0.001, respectively). Among plasma samples, either the frequency of at least one methylated gene (p<0.001) or the average number of methylated genes (p<0.05) demonstrated a stepwise increase in patients with benign lesions, LC, and HCC. Furthermore, when positive results, that is, plasma methylation status of at least one gene were combined with the elevated AFP400 level (serum alpha-fetoprotein [AFP] level at a cutoff of 400 ng/mL), the diagnostic sensitivity of HCC could increase to 93.55%.

conclusionsThese results suggested that the methylation of tumor suppressor genes may participate in the development and progression of HCC. Additionally, it may be useful to combine the plasma DNA methylation status of a panel of gene markers and the serum AFP for HCC screening.

Indexed as

DNA MethylationAdultCarcinogenesisDNA, NeoplasmEphrin-A2FemaleGenes, p16Glutathione S-Transferase piHumansLiver NeoplasmsMaleMiddle AgedPromoter Regions, GeneticTumor Suppressor ProteinsDNA, NeoplasmEphrin-A2Glutathione S-Transferase piRASSF1 protein, humanTumor Suppressor Proteins

Identifiers

PMID25923138
PMCPMC4487245
OpenAlexW2001034543

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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.