Shared Molecular Features Underlying Gastric Cancer and Depression Comorbidity

A systems biology analysis identifies 130 gastric cancer-associated and 534 depression-associated genes from public databases. The study highlights six hub genes and associated pathways linking the two conditions, validated via experimental methods. The dataset was last updated on May 20, 2026, by author Bin Liu.

Use Cases

• Identifying candidate biomarkers for gastric cancer-depression comorbidity based on overlapping gene sets
• Analyzing immune cell infiltration patterns associated with hub genes using single-sample Gene Set Enrichment Analysis
• Constructing miRNA-mRNA regulatory networks based on predicted interactions with specific microRNAs
• Investigating the role of pathways like PI3K-Akt and AGE-RAGE in disease interconnection

Strengths

• Identifies 130 gastric cancer-associated and 534 depression-associated genes from established databases (Gene Expression Omnibus, DisGeNET, GeneCards)
• Validates expression patterns of key mRNAs and proteins via real-time quantitative PCR and Western blot
• Data is shared under a permissive CC-BY-4.0 license

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• The 7.7 MB file size suggests a small dataset, potentially limiting scope

Provenance

Source

Gene Expression Omnibus, DisGeNET, and GeneCards databases

Collection Method

Bioinformatics analysis followed by experimental validation (qPCR, Western blot)

Freshness

Last updated 2026-05-20 08:07:29