Evidence map›Paper›PMID 30259695›Full record

ArticleCancer medicine2018

Distinctive pattern of AHNAK methylation level in peripheral blood mononuclear cells and the association with HBV-related liver diseases.

Libo Sun, Kang Li, Guihai Liu, Yuan Xu, Aiying Zhang, Dongdong Lin, Haitao Zhang, Xiaofei Zhao, Boxun Jin, Ning Li and 1 more

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

10 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Diagnostic and prognostic value ofFrontiers in immunology · 2022
    Article
  8. iScience · 2021
    Article
  9. Article
  10. Article
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 2 institutions in 2 countries.

Libo SunDepartment of Hepatobiliary Surgery, Beijing You'an Hospital, Capital Medical University, Beijing, China.ORCID 0000-0002-8098-0779
Kang LiBiomedical Information Center, Beijing You'an Hospital, Capital Medical University, Beijing, China.
Guihai LiuBiomedical Information Center, Beijing You'an Hospital, Capital Medical University, Beijing, China.
Yuan XuDepartment of Hepatobiliary Surgery, Beijing You'an Hospital, Capital Medical University, Beijing, China.
Aiying ZhangBeijing Institute of Hepatology, Beijing You'an Hospital, Capital Medical University, Beijing, China.
Dongdong LinDepartment of Hepatobiliary Surgery, Beijing You'an Hospital, Capital Medical University, Beijing, China.
Haitao ZhangDepartment of Hepatobiliary Surgery, Beijing You'an Hospital, Capital Medical University, Beijing, China.
Xiaofei ZhaoDepartment of Hepatobiliary Surgery, Beijing You'an Hospital, Capital Medical University, Beijing, China.
Boxun JinDepartment of Hepatobiliary Surgery, Beijing You'an Hospital, Capital Medical University, Beijing, China.
Ning LiDepartment of Hepatobiliary Surgery, Beijing You'an Hospital, Capital Medical University, Beijing, China.
Yonghong ZhangBeijing You'an Hospital, Capital Medical University, Beijing, China.
Capital Medical University · CNUniversity of Calgary · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to investigate the correlation between AHNAK methylation level in peripheral blood mononuclear cells (PBMC) and the progression of hepatitis B virus (HBV)-related liver disease. Bioinformatics methods were applied to evaluate the AHNAK methylation level in PBMC and T cells at different stages of HBV related liver disease, to investigate the correlation between AHNAK methylation and clinical features, as well as to compare the methylation site of AHNAK in cancer tissues and adjacent tissues. Subsequently, the differentially expressed gene analysis technique was used to analyze the liver disease-related genes and immune-related pathways in hepatitis B patients with different pathological changes. Finally, promoter methylation and mRNA expression of AHNAK gene in liver cancer and adjacent tissues were determined by quantitative polymerase chain reaction (Q-PCR), and the diagnostic value of AHNAK methylation level in hepatopathy was evaluated by receiver operating characteristic (ROC) curve. The promoter methylation level of AHNAK gene in PBMCs decreased with the progression of HBV-related liver disease, and showed significant difference among the patients with various HBV-related liver diseases (P = 0.0001). The AHNAK methylation level in PBMCs and T cells was negatively associated with age, white blood cell count, CREA, drinking, and positively associated with APTT and HbsAg. Higher mRNA expression of AHNAK was found in liver cancer tissues than that of adjacent tissues (P < 0.001), and the methylation level in PBMC decreased with the progression of hepatitis B-related liver disease. The area under the ROC curve (ROC) was 0.883 (P < 0.001) in diagnosis of chronic hepatitis B (CHB), 0.885 (P < 0.001) in diagnosis of compensatory liver cirrhosis, 0.955 (P < 0.001) in diagnosis of decompensated liver cirrhosis, 0.981 (P < 0.001) in diagnosis of hepatocellular carcinoma. Our results revealed that AHNAK methylation level in peripheral blood decreases with the progression of hepatitis B-related liver disease. This provided a potential differential diagnostic method for HBV-related hepatopathies, and thus an early detective tool for liver cancer.

Indexed as

DNA MethylationCarcinoma, HepatocellularDiagnosis, DifferentialDisease ProgressionDown-RegulationEpigenesis, GeneticFemaleGene Expression RegulationHepatitis B, ChronicHumansLeukocytes, MononuclearLiver CirrhosisLiver NeoplasmsMaleMembrane ProteinsNeoplasm ProteinsAHNAK protein, humanMembrane ProteinsNeoplasm ProteinsAHNAKliver diseasesmethylationmethylation-specific polymerase chain reactionreceiver operating characteristic curve

Identifiers

PMID30259695
PMCPMC6198198
OpenAlexW2894409168

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.