The molecular basis of the mechanism and the potential biomarkers of endometrial cancer (EC) remain to be studied. In the present study, we hypothesized that the comprehensive characterization of transcriptional changes in EC could help achieve this aim. By taking advantage of RNA-seq data from The Cancer Genome Atlas, we determined the profile of differently expressed genes (DEGs) between EC tumor tissues and normal samples. On this basis, we performed Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathways enrichment analyses. The interacting partners for each of the DEGs were explored and a protein-protein interaction network was constructed. Consequently, 10 hub genes were identified and their association with mortality in EC patients was investigated. The genes, AURKA, CENPA, and KIF2C, were found to be potential biomarkers for EC with a significant prognostic effect. Our work provided a basis for EC studies in both biological and clinical settings.

该机制的分子基础和子宫内膜癌 (EC) 的潜在生物标志物仍有待研究。在本研究中，我们假设对 EC 中转录变化的综合表征可以帮助实现这一目标。通过利用来自癌症基因组图谱的 RNA-seq 数据，我们确定了 EC 肿瘤组织和正常样本之间不同表达基因 (DEG) 的概况。在此基础上，我们进行了Gene Ontology和Kyoto Encyclopedia of Genes and Genomes途径富集分析。探索了每个 DEG 的相互作用伙伴，并构建了蛋白质-蛋白质相互作用网络。因此，确定了 10 个中枢基因，并研究了它们与 EC 患者死亡率的关系。基因AURKA、CENPA和KIF2C被发现是具有显着预后作用的 EC 的潜在生物标志物。我们的工作为生物学和临床环境中的 EC 研究提供了基础。