Evidence map›Paper›PMID 22690089›Full record

ArticleJournal of Korean medical science2012

Pharmacological unmasking microarray approach-based discovery of novel DNA methylation markers for hepatocellular carcinoma.

Namhee Jung, Jae Kyung Won, Baek-Hui Kim, Kyung Suk Suh, Ja-June Jang, Gyeong Hoon Kang

Open access · goldAbstract read
In one paragraph

Article in Journal of Korean medical science, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
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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

6 authors at 2 institutions in 1 country.

Namhee JungLaboratory of Epigenetics, Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea.
Jae Kyung Won
Baek-Hui Kim
Kyung Suk Suh
Ja-June Jang
Gyeong Hoon Kang
Seoul National University · KRKorea University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA methylation is one of the main epigenetic mechanisms and hypermethylation of CpG islands at tumor suppressor genes switches off these genes. To find novel DNA methylation markers in hepatocellular carcinoma (HCC), we performed pharmacological unmasking (treatment with 5-aza-2'-deoxycytidine or trichostatin A) followed by microarray analysis in HCC cell lines. Of the 239 promoter CpG island loci hypermethylated in HCC cell lines (as revealed by methylation-specific PCR), 221 loci were found to be hypermethylated in HCC or nonneoplastic liver tissues. Thirty-three loci showed a 20% higher methylation frequency in tumors than in adjacent nonneoplastic tissues. Correlation of individual cancer-related methylation markers with clinicopathological features of HCC patients (n = 95) revealed that the number of hypermethylated genes in HCC tumors was higher in older than in younger patients. Univariate and multivariate survival analysis revealed that the HIST1H2AE methylation status is closely correlated with the patient's overall survival (P = 0.022 and P = 0.010, respectively). In conclusion, we identified 221 novel DNA methylation markers for HCC. One promising prognostic marker, HIST1H2AE, should be further validated in the prognostication of HCC patients.

Indexed as

AzacitidineBiomarkers, TumorCarcinoma, HepatocellularCell Line, TumorCpG IslandsDecitabineDNA MethylationDown-RegulationFemaleHep G2 CellsHumansHydroxamic AcidsLiverLiver NeoplasmsMaleMiddle AgedAzacitidineBiomarkers, TumorDecitabineHydroxamic Acidstrichostatin ACarcinoma, HepatocellularCpG IslandsDNA MethylationMicroarrayPrognosis

Identifiers

PMID22690089
PMCPMC3369444
OpenAlexW2139835413

What OpenQuestion holds

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LicenceCC BY-NC
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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.