ArticleArchives of toxicology2025
An integrative multi-omics study to identify candidate DNA methylation biomarkers associated with gastric cancer prognosis.
Article in Archives of toxicology, 2025. 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
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
3 citing papers in PubMed.
- Deep Generative and Graph-Based Representation Learning for Multiomics Survival Stratification in Ovarian Cancer: Secondary Analysis.JMIR bioinformatics and biotechnology · 2026Article
- The Double-Edged Sword of Genomic DNA Methylation: Orchestrating Gastric Carcinogenesis and Shaping Precision Oncology.Oncology research · 2026Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
Abstract
Aberrant DNA methylation (DNAm) is the most well-defined epigenetic hallmark in gastric cancer (GC), which may be associated with a variety of risk factors exposure. In this study, leveraging the multi-omics data of Genome-wide association studies (GWAS), methylation quantitative trait locus (mQTL) and expression quantitative trait locus (eQTL) collected from The Cancer Genome Atlas (TCGA), Genotype-Tissue Expression (GTEx) Project and Gene Expression Omnibus (GEO) database, a joint analysis of cox proportional hazard regression and Summary-data-based Mendelian randomization (SMR) analysis were adapted to investigate the causal associations of DNAm, gene expression and the GC prognosis. The results showed the causal association of hypermethylation of cg16007185, down-regulation of TMX1, and poorer prognosis of GC patients. Mendelian randomization (MR) analysis revealed that exposure to PCB-99, a type of polychlorinated biphenyl, might lead to the hypermethylation of cg16007185. Mediation analysis showed the borderline mediation role of TMX1 in the association between cg16007185 and GC survival, with an indirect effect (IE) of 5.24% (P = 0.102). Weighted correlation network analysis (WGCNA) and enrichment analysis predicted that TMX1 was involved in the cell proliferation pathway. In vitro experiments validated that promoter hypomethylation could promote the TMX1 expression, which inhibited the proliferation and metastatic ability of GC cells. Overall, our results suggest that the hypermethylation of cg16007185, a result of PCB-99 exposure, may promote the poor prognosis of GC patients by decreasing the TMX1 expression.
Indexed as
Identifiers
40616607What 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.