Bioinformatic screening for candidate biomarkers and their prognostic values in endometrial cancer

• Main Authors: Yaowei Li, Li Li
• Format: Article
• Language: English
• Published: BMC 2020-09-01
• Series: BMC Genetics
• Subjects: Endometrial cancer; Differentially expressed genes; Differentially expressed miRNAs; Functional enrichment analysis; Protein-protein interaction; Survival analysis
• Online Access: http://link.springer.com/article/10.1186/s12863-020-00898-4
• ISSN: 1471-2156

Abstract Background Endometrial cancer is a common gynecological cancer with annually increasing incidence worldwide. However, the biomarkers that provide prognosis and progression for this disease remain elusive. Results Two eligible human endometrial cancer datasets (GSE17025 and GSE25405) were selected for the study. A total of 520 differentially expressed mRNAs and 30 differentially expressed miRNAs were identified. These mRNAs were mainly enriched in cell cycle, skeletal system development, vasculature development, oocyte maturation, and oocyte meiosis signalling pathways. A total of 160 pairs of differentially expressed miRNAs and mRNAs, including 22 differentially expressed miRNAs and 71 overlapping differentially expressed mRNAs, were validated in endometrial cancer samples using starBase v2.0 project. The prognosis analysis revealed that Cyclin E1 (CCNE1, one of the 82 hub genes, which correlated with hsa-miR-195 and hsa-miR-424) was significantly linked to a worse overall survival in endometrial cancer patients. Conclusions The hub genes and differentially expressed miRNAs identified in this study might be used as prognostic biomarkers for endometrial cancer and molecular targets for its treatment.