Evidence map›Paper›PMID 25859288›Full record

ArticleClinical epigenetics2014

Genome-wide methylation profiling of the different stages of hepatitis B virus-related hepatocellular carcinoma development in plasma cell-free DNA reveals potential biomarkers for early detection and high-risk monitoring of hepatocellular carcinoma.

Yangxing Zhao, Feng Xue, Jinfeng Sun, Shicheng Guo, Hongyu Zhang, Bijun Qiu, Junfeng Geng, Jun Gu, Xiaoyu Zhou, Wei Wang and 5 more

Open access · goldAbstract read
In one paragraph

Article in Clinical epigenetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

44 citing papers in PubMed, 61 citations in OpenAlex.

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  11. DNA methylation markers in the detection of hepatocellular carcinoma.European journal of cancer (Oxford, England : 1990) · 2023
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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

15 authors at 7 institutions in 1 country.

Yangxing ZhaoState Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, LN 2200/25,Xietu Road, Shanghai, 200032 China.
Feng XueDepartment of Liver Surgery, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, 160 Pujian Road, Shanghai, 200127 China.
Jinfeng SunZhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032 China.
Shicheng GuoMinistry of Education Key Laboratory of Contemporary Anthropology School of Life Sciences, Fudan University, 220 Handan Road, Shanghai, 200433 China.
Hongyu ZhangShanghai Cancer Institute,Renji Hospital, Shanghai Jiao Tong University School of Medicine, LN 2200/25,Xietu Road, Shanghai, 200032 China.
Bijun QiuDepartment of Liver Surgery, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, 160 Pujian Road, Shanghai, 200127 China.
Junfeng GengDepartment of General Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, 241 West Huaihai Road, Shanghai, 200030 China.
Jun GuState Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, LN 2200/25,Xietu Road, Shanghai, 200032 China.
Xiaoyu ZhouKey Laboratory of Contraceptive Drugs and Devices of NPFPC, Shanghai Institute of Planned Parenthood Research, 2140 Xietu Road, Shanghai, 200032 China.
Wei WangState Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, LN 2200/25,Xietu Road, Shanghai, 200032 China.
Zhenfeng ZhangState Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, LN 2200/25,Xietu Road, Shanghai, 200032 China.
Ning TangShanghai Cancer Institute,Renji Hospital, Shanghai Jiao Tong University School of Medicine, LN 2200/25,Xietu Road, Shanghai, 200032 China.
Yinghua HeShanghai Cancer Institute,Renji Hospital, Shanghai Jiao Tong University School of Medicine, LN 2200/25,Xietu Road, Shanghai, 200032 China.
Jian YuState Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, LN 2200/25,Xietu Road, Shanghai, 200032 China.
Qiang XiaDepartment of Liver Surgery, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, 160 Pujian Road, Shanghai, 200127 China.
Renji Hospital · CNShanghai Cancer Institute · CNShanghai Jiao Tong University · CNFudan University · CNState Key Laboratory of Oncogene and Related Genes · CNShanghai Chest Hospital · CNShanghai Institute of Planned Parenthood Research · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn important model of hepatocellular carcinoma (HCC) that has been described in southeast Asia includes the transition from chronic hepatitis B infection (CHB) to liver cirrhosis (LC) and, finally, to HCC. The genome-wide methylation profiling of plasma cell-free DNA (cfDNA) has not previously been used to assess HCC development. Using MethylCap-seq, we analyzed the genome-wide cfDNA methylation profiles by separately pooling healthy control (HC), CHB, LC and HCC samples and independently validating the library data for the tissue DNA and cfDNA by MSP, qMSP and Multiplex-BSP-seq.

resultsThe dynamic features of cfDNA methylation coincided with the natural course of HCC development. Data mining revealed the presence of 240, 272 and 286 differentially methylated genes (DMGs) corresponding to the early, middle and late stages of HCC progression, respectively. The validation of the DNA and cfDNA results in independent tissues identified three DMGs, including ZNF300, SLC22A20 and SHISA7, with the potential for distinguishing between CHB and LC as well as between LC and HCC. The area under the curve (AUC) ranged from 0.65 to 0.80, and the odds ratio (OR) values ranged from 5.18 to 14.2.

conclusionsOur data revealed highly dynamic cfDNA methylation profiles in support of HBV-related HCC development. We have identified a panel of DMGs that are predictive for the early, middle and late stages of HCC development, and these are potential markers for the early detection of HCC as well as the screening of high-risk populations.

Indexed as

Cell-free DNADNA methylationGenome-wideHBVHCC developmentPlasma

Identifiers

PMID25859288
PMCPMC4391300
OpenAlexW2147606871

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Registered trials

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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.