High expression of IFITM2 in gastric cancer is related to poor prognosis

Autor: Yonggang Liu, Xi Li, Junyong Huang, Jiangyuan Huang, Qiaohua Zhu, Jiale Wang, Meihua Luo
Rok vydání: 2022
Popis: Introduction IFITM2 (interferon-induced transmembrane protein 2) is involved in the repression of viral infection. Recently, IFITM2 was found to be highly expressed in multiple cancers. However, the possible roles of IFITM2 in gastric cancer (GC) remain unclarified. In this research, we determined the expression of IFITM2 and its relationship with clinical outcome in GC.Methods The original data retrieved from bioinformatics databases were integrated by R package v3.6.2. The expression of IFITM2 in GC was explored by online databases of UALCAN. Immunohistochemistry staining and molecular analysis were conducted to validate IFITM2 expression in human GC cells and clinical specimens. The association between IFITM2 and clinicopathological features were analyzed by univariate/multivariate Cox regression. The prognostic significance of IFITM2 gene expression in the TCGA-STAD and GEO database were evaluated by TIMER and Kaplan-Meier Plotter tool. The relationships between IFITM2 and immune tumor characteristics were analyzed with TIMER 2.0. The biological function of IFITM2 were analyzed by GSEA. IFITM2-specific siRNA was employed to confirm the roles of IFITM2 in cell migration and wound healing.Results IFITM2 was over-expressed in GC and contributed to poor prognosis. High IFITM2 expression in GC was obviously related to T stage, distant metastasis, higher histologic grade. IFITM2 was a significant risk factor influencing the survival of GC patients. High IFITM2 expression was positively associated related to immune-infiltrating cells. The Cytokine-Cytokine-Receptor-Interaction pathway was remarkably enriched by IFITM2 upregulation. IFITM2 knockdown was found to significantly reduce the ability of cell migration and scratch repair.Conclusion IFITM2 is over-expressed in GC and affects the prognosis of GC patients. IFITM2 may act as a novel prognostic biomarker for GC patients.
Databáze: OpenAIRE