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