ArticleScientific reports2020
Gastrointestinal adenocarcinoma analysis identifies promoter methylation-based cancer subtypes and signatures.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- MAGEA Family Gene Expression Influences Survival in Intestinal-Type Gastric Cancer.Cancer medicine · 2026Article
- Pathogenicity ofWorld journal of clinical oncology · 2025Review
- Discovery of novel DNA methylation biomarker panels for the diagnosis and differentiation between common adenocarcinomas and their liver metastases.Scientific reports · 2024Article
- Integration of DNA Microarray with Clinical and Genomic Data.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Identification of stem cell-related subtypes and risk scoring for gastric cancer based on stem genomic profiling.Stem cell research & therapy · 2021Article
- Transcriptional and Epigenetic Bioinformatic Analysis of Claudin-9 Regulation in Gastric Cancer.Journal of oncology · 2021Article
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2 authors.
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Abstract
Gastric adenocarcinoma (GAC) and colon adenocarcinoma (CAC) are the most common gastrointestinal cancer subtypes, with a high incidence and mortality. Numerous studies have shown that its occurrence and progression are significantly related to abnormal DNA methylation, especially CpG island methylation. However, little is known about the application of DNA methylation in GAC and CAC. The methylation profiles were accessed from the Cancer Genome Atlas database to identify promoter methylation-based cancer subtypes and signatures for GAC and CAC. Six hypo-methylated clusters for GAC and six hyper-methylated clusters for CAC were separately generated with different OS profiles, tumor progression became worse as the methylation level decreased in GAC or increased in CAC, and hypomethylation in GAC and hypermethylation in CAC were negatively correlated with microsatellite instability. Additionally, the hypo- and hyper-methylated site-based signatures with high accuracy, high efficiency and strong independence can separately predict the OS of GAC and CAC patients. By integrating the methylation-based signatures with prognosis-related clinicopathologic characteristics, two clinicopathologic-epigenetic nomograms were cautiously established with strong predictive performance and high accuracy. Our research indicates that methylation mechanisms differ between GAC and CAC, and provides novel clinical biomarkers for the diagnosis and treatment of GAC and CAC.
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