ABSTRACT This study aimed to characterize the expression pattern of TACC1 in gastric cancer (GC), investigate its correlation with clinicopathological features and patient prognosis, and evaluate its potential as a prognostic and therapeutic biomarker. Differential expression and immune infiltration analyses of TACC1 were performed using the TIMER and GEO databases. The association between TACC1 expression and clinicopathological characteristics in GC was further examined using the UALCAN database. Based on expression data from TCGA and GEO GC cohorts, univariate and multivariate Cox regression analyses as well as survival analyses were conducted using R software to assess the prognostic value of TACC1. Finally, co‐expression analysis was performed via the LinkedOmics database, followed by functional enrichment analysis of TACC1 co‐expressed genes. Our bioinformatics results demonstrated that upregulated TACC1 expression is significantly associated with poor prognosis in patients with GC, supporting its potential as a novel prognostic biomarker for gastric cancer.
Wang et al. (Fri,) studied this question.