Genetic Variants Predicting Gastric Cancer Survival in Chinese Cohorts

2,211 Chinese gastric cancer patients from a Shanghai GWAS were analyzed for associations between 12,476 SNPs in 151 NK cell-related genes and overall survival. Three independent SNPs (CD160 rs9728526, MERTK rs114788905, IL15 rs140007893) were validated in a second cohort of 1,049 patients. The dataset, authored by Guang Zeng and updated in April 2026, provides genetic and clinical data for prognostic biomarker research.

Use Cases

• Building survival prediction models based on identified SNPs (CD160 rs9728526, MERTK rs114788905, IL15 rs140007893).
• Analyzing the dose-dependent relationship between unfavorable genotype count and poorer overall survival.
• Investigating the correlation between gene expression levels (CD160, MERTK, IL15) and immune cell infiltration in the tumor microenvironment.
• Validating genetic biomarkers for gastric cancer risk stratification using hazard ratios and statistical metrics (C-index, NRI, IDI).

Strengths

• Data is derived from two genome-wide association study (GWAS) cohorts totaling 3,260 patients.
• Identifies three specific SNPs with statistically significant hazard ratios for survival prediction.
• Includes functional annotation results from expression QTL, splicing QTL, and immune infiltration analyses.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect geographic bias inherent to the Chinese patient cohorts used.

Provenance

Source

figshare, authored by Guang Zeng.

Collection Method

Genome-wide association study (GWAS) analysis of patient cohorts.

Time Range

null

Freshness

Last updated 2026-04-15 05:41:32; freshness should be verified.

Geography

China (Shanghai and Jiangsu cohorts).