Evidence map›Paper›PMID 23950870›Full record

ArticlePloS one2013

Discovery and validation of DNA hypomethylation biomarkers for liver cancer using HRM-specific probes.

Barbara Stefanska, Aurelie Bouzelmat, Jian Huang, Matthew Suderman, Michael Hallett, Ze-Guang Han, Mamun Al-Mahtab, Sheikh Mohammad Fazle Akbar, Wasif Ali Khan, Rubhana Raqib and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

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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

11 authors at 6 institutions in 4 countries.

Barbara StefanskaDepartment of Pharmacology and Therapeutics, McGill University, Montreal, Quebec, Canada.
Aurelie Bouzelmat
Jian Huang
Matthew Suderman
Michael Hallett
Ze-Guang Han
Mamun Al-Mahtab
Sheikh Mohammad Fazle Akbar
Wasif Ali Khan
Rubhana Raqib
Moshe Szyf
McGill University · CAInternational Centre for Diarrhoeal Disease Research · BDBangabandhu Sheikh Mujib Medical University · BDChinese National Human Genome Center · CNChinese National Human Genome Center at Shanghai · CNToshiba General Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Poor prognosis of hepatocellular carcinoma (HCC) associated with late diagnosis necessitates the development of early diagnostic biomarkers. We have previously delineated the landscape of DNA methylation in HCC patients unraveling the importance of promoter hypomethylation in activation of cancer- and metastasis-driving genes. The purpose of the present study was to test the feasibility that genes that are hypomethylated in HCC could serve as candidate diagnostic markers. We use high resolution melting analysis (HRM) as a simple translatable PCR-based method to define methylation states in clinical samples. We tested seven regions selected from the shortlist of genes hypomethylated in HCC and showed that HRM analysis of several of them distinguishes methylation states in liver cancer specimens from normal adjacent liver and chronic hepatitis in the Shanghai area. Such regions were identified within promoters of neuronal membrane glycoprotein M6-B (GPM6B) and melanoma antigen family A12 (MAGEA12) genes. Differences in HRM in the immunoglobulin superfamily Fc receptor (FCRL1) separated invasive tumors from less invasive HCC. The identified biomarkers differentiated HCC from chronic hepatitis in another set of samples from Dhaka. Although the main thrust in DNA methylation diagnostics in cancer is on hypermethylated genes, our study for the first time illustrates the potential use of hypomethylated genes as markers for solid tumors. After further validation in a larger cohort, the identified DNA hypomethylated regions can become important candidate biomarkers for liver cancer diagnosis and prognosis, especially in populations with high risk for HCC development.

Indexed as

DNA MethylationAdultAgedAged, 80 and overAntigens, NeoplasmBiomarkers, TumorCarcinoma, HepatocellularDNA ProbesFemaleHepatitis B, ChronicHumansLiver NeoplasmsMaleMembrane GlycoproteinsMembrane ProteinsMiddle AgedAntigens, NeoplasmBiomarkers, TumorDNA ProbesFCRL1 protein, humanGPM6B protein, humanMAGEA12 protein, humanMembrane GlycoproteinsMembrane ProteinsNeoplasm ProteinsNerve Tissue Proteins

Identifiers

PMID23950870
PMCPMC3737236
OpenAlexW2006868238

What OpenQuestion holds

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LicenceCC BY
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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.