Abstract
Gastric cancer (GC) is one of the most common types of clinically malignant tumors and a global health challenge due to its high mortality and poor prognosis. The coagulation cascade is closely related to GC and plays a key role in the tumor immune microenvironment. However, the specific mechanisms by which coagulation-related genes involved in the occurrence and development of GC remains unclear. The data of GC patients and coagulation-related genes were obtained from the TCGA and the GSEA databases, respectively. After univariate Cox regression analysis, the non-negative matrix factorization method was used to identify coagulation-related molecular subtypes. GC patients were categorized into high-risk and low-risk score groups based on median risk scores, which included six genes (PCDHAC1, HABP2, GPC3, GFRA1, F5, and DKK1). There was a significant difference in survival between the two groups, and the predictive abilities for 1-, 3-, and 5-year survival were valid. Here, we demonstrated that coagulation-related gene signatures are valuable in predicting the survival of GC patients. Besides, the high- and low-risk grouping also better reflects the status of tumor mutation burden and the characteristics of tumor immune infiltration in GC, which provides a theoretical basis for individualized chemotherapy and immunotherapy for GC patients.