ArticleMedicine2018
Bioinformatics analysis of methylation in cervical adenocarcinoma in Xinjiang, China.
Article in Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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
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Who cites it
3 citing papers in PubMed, 6 citations in OpenAlex.
- Article
- Promoter hypermethylation of neural-related genes is compatible with stemness in solid cancers.Epigenetics & chromatin · 2023Article
- Hypomethylation of the cyclin D1 promoter in hepatitis B virus-associated hepatocellular carcinoma.Medicine · 2020Observational
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study is to investigate the genomic methylation in cervical adenocarcinoma in Xinjiang, China, using the DNA methylation analysis chips.Methylation of 5 cases of cervical adenocarcinoma tissues and 5 cases of normal cervical tissues were analyzed by the Illumina 850K methylation chip. The genes with abnormal methylation modification were screened out and analyzed by the gene ontology (GO) functional annotation analysis. Enrichment analysis of kyoto encyclopedia of genes and genomes (KEGG) signal transduction pathways was also performed.Totally 4056 sites showed differential expression patterns in cervical adenocarcinoma tissues compared to normal cervical tissues, of which 3738 were hypermethylated, and 318 were hypomethylated. The distribution of these sites covered from the 1st to 22nd chromosomes. GO functional annotation analysis showed that the differentially expressed genes in cervical adenocarcinoma tissues were mainly involved in the processes of tumor growth, development, metabolism, ion transport, transcriptional regulation, cell division, cell cycle regulation, and signal transduction. KEGG signaling pathway analysis showed that the most significantly different signaling pathway was the neuroactive ligand-receptor interaction. Gene-net-work analysis suggested that CCND1, CTNNB1, MAPK10, and PRKCA were involved.Methylated genes are specifically expressed in cervical adenocarcinoma tissues in Xinjiang, China. Four of these genes (CCND1, CTNNB1, MAPK10, and PRKCA) with differential expression patterns may play important regulatory roles in cervical adenocarcinoma development through affecting the neuroactive ligand-receptor interaction.
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Registered trials
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