Dataset Information

Clinical potential of DNA methylation in gastric cancer: a meta-analysis.

ABSTRACT:

Background

Accumulating evidence indicates aberrant DNA methylation is involved in gastric tumourigenesis, suggesting it may be a useful clinical biomarker for the disease. The aim of this study was to consolidate and summarize published data on the potential of methylation in gastric cancer (GC) risk prediction, prognostication and prediction of treatment response.

Methods

Relevant studies were identified from PubMed using a systematic search approach. Results were summarized by meta-analysis. Mantel-Haenszel odds ratios were computed for each methylation event assuming the random-effects model.

Results

A review of 589 retrieved publications identified 415 relevant articles, including 143 case-control studies on gene methylation of 142 individual genes in GC clinical samples. A total of 77 genes were significantly differentially methylated between tumour and normal gastric tissue from GC subjects, of which data on 62 was derived from single studies. Methylation of 15, 4 and 7 genes in normal gastric tissue, plasma and serum respectively was significantly different in frequency between GC and non-cancer subjects. A prognostic significance was reported for 18 genes and predictive significance was reported for p16 methylation, although many inconsistent findings were also observed. No bias due to assay, use of fixed tissue or CpG sites analysed was detected, however a slight bias towards publication of positive findings was observed.

Conclusions

DNA methylation is a promising biomarker for GC risk prediction and prognostication. Further focused validation of candidate methylation markers in independent cohorts is required to develop its clinical potential.

SUBMITTER: Sapari NS

PROVIDER: S-EPMC3338684 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature

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Publications

Clinical potential of DNA methylation in gastric cancer: a meta-analysis.

Sapari Nur Sabrina NS Loh Marie M Vaithilingam Aparna A Soong Richie R

PloS one 20120427 4

<h4>Background</h4>Accumulating evidence indicates aberrant DNA methylation is involved in gastric tumourigenesis, suggesting it may be a useful clinical biomarker for the disease. The aim of this study was to consolidate and summarize published data on the potential of methylation in gastric cancer (GC) risk prediction, prognostication and prediction of treatment response.<h4>Methods</h4>Relevant studies were identified from PubMed using a systematic search approach. Results were summarized by ...[more]

PMID: 22558417

Similar Datasets

Project description:BackgroundAberrant DNA methylation is involved in gastric carcinogenesis and may serve as a useful biomarker in the diagnosis and detection of gastric cancer (GC) recurrence.ResultsA total of 157 patients who received surgery for GC were enrolled in the present study. A genome-wide methylation analysis was performed in tumor and adjacent normal tissues for the discovery set of 16 GC patients; the top three hypermethylated CpG sites of DNA promoters were selected for validation in tissue and plasma samples for the validation set of 141 GC patients. The frequencies of the top three hypermethylated genes in available patient tissues (n?=?141) and plasma samples (n?=?106) were 41.8% and 38.7%, respectively, for ADAM19; 40.4% and 42.5%, respectively, for FLI1; and 56.7% and 50.9%, respectively, for MSC. In both tissue and plasma samples, FLI1 hypermethylation was associated with more advanced GC and liver and distant lymphatic metastasis, and ADAM19 hypermethylation was associated with more stage IV GC. In plasma samples, MSC hypermethylation was more common in non-superficial type GC than samples without MSC hypermethylation. In both tissue and plasma samples, patients with methylation of all the three genes had significantly more liver metastases, distant lymphatic metastases, and paraaortic lymph node metastases than patients with two or fewer hypermethylated genes. The survival analysis showed that only for stage III GC, patients with hypermethylation of two or three genes had a worse 5-year disease-free survival rate than those with hypermethylation of one or none of the three genes. Subgroup analysis showed that FLI1 hypermethylation in both tissue and plasma samples was associated with liver metastasis in MSI-/EBV- GC, and MSC hypermethylation in tissue samples was correlated with liver metastasis in MSI+ or EBV+ GC. Patients with FLI1 hypermethylation in plasma samples had a significantly worse 5-year disease-free survival rate than those without FLI1 hypermethylation in MSI-/EBV- GC. FLI1 hypermethylation was an independent prognostic factor affecting the overall survival and disease-free survival in both tissue and plasma samples.ConclusionsDNA methylation is a useful biomarker for predicting tumor recurrence patterns and GC patient survival.

Project description:BackgroundFew studies have examined prognostic outcomes-associated molecular signatures other than overall survival (OS) for gastric cancer (GC). We aimed to identify DNA methylation biomarkers associated with multiple prognostic outcomes of GC in an epigenome-wide association study.MethodsBased on the Cancer Genome Atlas (TCGA), DNA methylation loci associated with OS (n = 381), disease-specific survival (DSS, n = 372), and progression-free interval (PFI, n = 383) were discovered in training set subjects (false discovery rates < 0.05) randomly selected for each prognostic outcome and were then validated in remaining subjects (P-values < 0.05). Key CpGs simultaneously validated for OS, DSS, and PFI were further assessed for disease-free interval (DFI, n = 247). Gene set enrichment analyses were conducted to explore the Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathways simultaneously enriched for multiple GC prognostic outcomes. Methylation correlated blocks (MCBs) were identified for co-methylation patterns associated with GC prognosis. Based on key CpGs, risk score models were established to predict four prognostic outcomes. Spearman correlation analyses were performed between key CpG sites and their host gene mRNA expression.ResultsWe newly identified DNA methylation of seven CpGs significantly associated with OS, DSS, and PFI of GC, including cg10399824 (GRK5), cg05275153 (RGS12), cg24406668 (MMP9), cg14719951(DSC3), and cg25117092 (MED12L), and two in intergenic regions (cg11348188 and cg11671115). Except cg10399824 and cg24406668, five of them were also significantly associated with DFI of GC. Neuroactive ligand-receptor interaction pathway was suggested to play a key role in the effect of DNA methylation on GC prognosis. Consistent with individual CpG-level association, three MCBs involving cg11671115, cg14719951, and cg24406668 were significantly associated with multiple prognostic outcomes of GC. Integrating key CpG loci, two risk score models performed well in predicting GC prognosis. Gene body DNA methylation of cg14719951, cg10399824, and cg25117092 was associated with their host gene expression, whereas no significant associations between their host gene expression and four clinical prognostic outcomes of GC were observed.ConclusionsWe newly identified seven CpGs associated with OS, DSS, and PFI of GC, with five of them also associated with DFI, which might inform patient stratification in clinical practices.

Dataset Information

Clinical potential of DNA methylation in gastric cancer: a meta-analysis.

Background

Methods

Results

Conclusions

Publications

Clinical potential of DNA methylation in gastric cancer: a meta-analysis.

Similar Datasets

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