ArticleMedical science monitor : international medical journal of experimental and clinical research2019
Evaluation of Relationship between Occurrence of Liver Cancer and Methylation of Fragile Histidine Triad (FHIT) and P16 Genes.
Article in Medical science monitor : international medical journal of experimental and clinical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled 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.
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, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.
- Pooled it
- Correlation Between RASSF1A Gene Promoter Hypermethylation in Serum or Sputum and Non-Small Cell Lung Cancer (NSCLC): A Meta-Analysis.Medical science monitor : international medical journal of experimental and clinical research · 2019Pooled it
- Epigenetic mechanisms and steroid-resistant nephrotic syndrome: The future potential for SRNS diagnosis.iScience · 2026Review
- Review
- DNA Methylation Pattern and mRNA Expression Level of E-Cadherin and P16 Genes in Thrombotic Disorders.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/HemostasisArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND We examined the level of fragile histidine triad (FHIT) and p16 gene methylation in patients with hepatocellular carcinoma and explored the relationship to liver cancer. MATERIAL AND METHODS There were 56 patients with primary liver cancer who were admitted to the hospital from July 2015 to October 2017 included in the liver cancer group, and 24 non-hepatoma patients (hepatitis A/hepatitis B/hepatitis C, liver cirrhosis, liver fibrosis, and fatty liver, alcoholic liver identified as a control group. Fasting venous blood samples were collected from the 2 groups. Methylation-specific PCR (MSP) was used to detect the methylation of FHIT and p16 genes in the 2 groups. The risk factors for lung cancer were analyzed by logistic regression. In addition, the effects of FHIT and p16 gene methylation on the diagnostic accuracy of liver cancer were calculated. RESULTS The incidence of FHIT and p16 methylation in serum from the liver cancer group was 51.8% and 67.9%, respectively. The incidence of FHIT and p16 methylation in the non-hepatoma group was 16.7% and 25.0%. There was a statistical statistically correlated with gender, and the methylation of FHIT and p16 genes (P<0.05). From logistic regression analysis results, methylation of p16 and FHIT genes was an independent risk factor for hepatocellular carcinoma with odds ratio (OR) values of 10.550 (2.313~48.116) and 8.239 (2.386~28.455), respectively. CONCLUSIONS The methylation of p16 and FHIT genes was an independent risk factor for hepatocellular carcinoma.
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.