Identification of Novel Biomarkers MCM2 and GINS2 for Cervical Cancer

Cervical cancer (CC) is the most common malignant tumor in women, and its prognosis is poor. The key genes and pathways of CC need to be further discovered. GEO2R was used to identify differentially expressed genes (DEG), GO and KEGG enrichment were analyzed by DAVID. Then, the PPI network is constructed with STRINGS. The HUB gene and module of DEGS were obtained by Cytoscape. Finally, GEPIA also analyzed the differential expression and survival of key genes. 234 DEG were extracted from GSE9750. The uterus is the fourth organ highlighted in the concentrated analysis. The functional changes of DEGS are mainly related to cell cycle progression, cell cycle, helicase activity, DNA helicase activity, exosome and p53 signal pathway. In addition, five HUB genes and one key module were identified. Survival analysis showed that MCM2 and GINS2 were significantly correlated with overall survival. Expression analysis showed that MCM2 and GINS2 were highly expressed in cancer tissues, but low in normal tissues, which was consistent with the results of GEO analysis. Correlation analysis showed that there was a significant positive correlation between MCM2 and GINS2. This study suggests that MCM2 and GINS2 may be new biomarkers to predict the prognosis of CC.