ArticleMedical science monitor : international medical journal of experimental and clinical research2015
The Correlation Relationship between P14ARF Gene DNA Methylation and Primary Liver Cancer.
Article in Medical science monitor : international medical journal of experimental and clinical research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed, 11 citations in OpenAlex.
- Design and Validation of a Predictive Model for Hepatocellular Carcinoma Based on Genes With Differential Expression Driven by DNA Methylation.International journal of genomics · 2026Article
- Studies in Cancer Epigenetics through a Sex and Gendered Lens: A Comprehensive Scoping Review.Cancers · 2023Article
- Alteration of DNA methylation induced by PMToxicology research · 2020Article
- Relationship between Methylation of FHIT and CDH13 Gene Promoter Region and Liver Cancer.Current medical science · 2020Article
- Systematic Review and Meta-Analysis on the Association between Polymorphisms in Genes of IL-12 Signaling Pathway and Hepatocellular Carcinoma Risk.Journal of Cancer · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPrimary liver cancer is a common malignant tumor that causes serious damage to human health. DNA methylation is common in epigenetics. DNA methylation plays an important role in the process of primary liver cancer occurrence and development. The P14ARF gene is an important tumor suppressor gene. It was found that P14ARF methylation is associated with the degree of malignancy in multiple tumors. Therefore, this study aimed to investigate the relationship between P14ARF methylation level and primary liver cancer malignant degree. MATERIAL AND
methodsCarcinoma tissues and adjacent tissues were collected from 87 primary liver cancer patients. Pyrosequencing was applied to obtain P14ARF methylation. Real-time PCR was used to detect P14ARF mRNA level.
resultsP14ARF methylation level in cancerous tissue was significantly higher than in the adjacent tissue (t=76.54, P<0.001). P14ARF methylation showed no significant difference in patients with different age, sex, smoking status, or drinking status. It did not present an obvious difference in tumors with different size. Its methylation level increased following the improvement of TNM stage (P<0.05). Compared with the adjacent tissue, P14ARF mRNA in carcinoma tissue decreased by 31% (t=28.91, P<0.001). P14ARF methylation showed a significant negative correlation with mRNA expression in cancerous tissue (r=-0.43, P<0.01).
conclusionsP14ARF mRNA level is regulated by DNA methylation in primary liver cancer. P14ARF gene DNA methylation may be associated with the occurrence of primary liver cancer occurrence and TNM staging.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.