A prognostic and immune infiltration analysis of ZEB2 in pan-cancer

[Objective] ZEB2 is known to be participated in several cancers, yet there no comprehensive analysis about its function pan-cancer. This study aimed investigate the role plays [Methods] The data was downloaded from University of California Santa Cruz (UCSC) Xena and Cancer Genome Atlas (TCGA). mRNA expression status studied TCGA_GTEx samples, TCGA samples paired TCGA, respectively, protein obtained Alabama at Birmingham Portal (UALCAN). Kaplan-Meier applied 33 kinds tumors then among cancers that can affect prognosis, clinical correlation univariate multivariate Cox regression were performed. Furthermore, confirm prognostic value nomogram models constructed on lung adenocarcinoma (LUAD) stomach (STAD). relationship between immune cell infiltrates determined by tumor estimation resource (TIMER2.0). Protein-protein interaction (PPI) networks STRING. Functional enrichment also performed using “ClusterProfiler” package. [Results] expressed most tumors, either upregulated or downregulated, correlated with characteristics a part tumors. level found impact prognosis Additionally, significantly related cells infiltration microenvironment. [Conclusion] we propose has potential biomarker promising target for cancer immunotherapy.