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

BMC Genetics

Li Li¹  Yaowei Li² 

[1] Department of Gynecologic Oncology, Affiliated Tumor Hospital of Guangxi Medical University, Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor, Ministry of Education, 530021, Nanning, Guangxi, People’s Republic of China;Department of Gynecologic Oncology, Affiliated Tumor Hospital of Guangxi Medical University, Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor, Ministry of Education, 530021, Nanning, Guangxi, People’s Republic of China;Department of Gynecology and obstetrics, Shangyu People’s Hospital, 312300, Shangyu, Zhejiang, People’s Republic of China;

关键词: Endometrial cancer;    Differentially expressed genes;    Differentially expressed miRNAs;    Functional enrichment analysis;    Protein-protein interaction;    Survival analysis;   

DOI  :  10.1186/s12863-020-00898-4

来源: Springer

【 摘 要 】

BackgroundEndometrial cancer is a common gynecological cancer with annually increasing incidence worldwide. However, the biomarkers that provide prognosis and progression for this disease remain elusive.ResultsTwo 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.ConclusionsThe 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.

【 授权许可】

CC BY