FOXM1 and UBE2C Are Distinct Biomarkers for Non-Small Cell Lung Cancer Survival Prediction: Data-Mining Based on ONCOMINE

Abstract

Non-small cell lung cancer (NSCLC) remains to be primary reason of tumor deaths in the past few decades. The mortality of this malignancy could be reduced by developing new prognostic biomarkers and discovering novel therapeutic biological target. Here, we studied the mRNA expression of FOX gene family and UBE2C in different types of cancer compared with normal tissue through ONCOMINE differential analysis. CCLE analysis was mined to explore the expression profiles of target genes in different tumor cells. GEPIA was used to discover the expression of target genes in different subtypes and the correlation with lung cancer stage. The prognostic values of FOXM1 and UBE2C were further investigated through Kaplan-Meier plotter analysis. It showed that FOXA1, FOXD1 and FOXM1 were dramatically high expressed in NSCLC comparing with normal lung tissues. Besides, the expression of FOXM1 was significantly associated with UBE2C. Furthermore, the overexpression of FOXM1 and UBE2C were correlated to shorter survival in lung adenocarcinoma (LAC) instead of lung squamous cell carcinoma(LSCC).Hence, we could draw a conclusion that FOXM1 and UBE2C are distinguished biomarkers and crucial prognostic indicators for lung adenocarcinoma patients.