Pan-cancer analysis identifies the oncogenic role of CCNE1 in human cancers

To investigate expression, prognosis, immune cell infiltration of C ( ) in cancer. We used TIMER and GEPIA datasets to analyze the differential expression of in multiple tumors. GEPIA and Kaplan-Meier plotter databases were utilized to observe the prognostic significance of in cancer. TIMER and cBioPortal databases were adopted for the analysis regarding immune infiltration and mutation respectively. The results showed that was highly expressed in multiple cancers including BLCA, BRCA, CHOL, COAD, ESCA, HNSC, KICH, KIRC, KIRP, LIHC, LUAD, LUSC, READ, STAD, THCA, UCEC ( < 0.001) and CESC ( < 0.01). High expression was associated with a poor overall survival prognosis in several cancers, including ACC, BRCA, KIRC, KIRP, LGG, LIHC, LUAD and MESO. Additionally, expression was correlated with the cancer-associated immune infiltration level in BRCA, COAD, LUSC, STAD and THYM. is expected to be a potential biomarker for tumor prognosis and immune infiltration in various cancers.