Endometrial cancer (EC), one of most common gynaecological malignant tumours, threatens the female health worldwide, especially in developed countries. 1 According to estimated data, more than 63 230 new EC cases and 11 350 EC deaths are projected to occur in the United States in 2018. 2 Current diagnoses for uterine corpus tumours mainly depend on clinical and histological features.However, 15%-20% of these tumours still have a high risk of recurrence and even further deterioration. Although some molecular
AbstractAs endometrial cancer (EC) is a major threat to female health worldwide, the ability to provide an accurate diagnosis and prognosis of EC is promising to improve its treatment guidance. Since the discovery of miRNAs, it has been realized that miRNAs are associated with every cell function, including malignant transformation and metastasis. This study aimed to explore diagnostic and prognostic miRNA markers of EC.In this study, differential analysis and machine learning were performed, followed by correlation analysis of miRNA-mRNA based on the miRNA and mRNA expression data. Nine miRNAs were identified as diagnostic markers, and a diagnostic classifier was established to distinguish between EC and normal endometrium tissue with overall correct rates >95%. Five specific prognostic miRNA markers were selected to construct a prognostic model, which was confirmed more effective in identifying EC patients at high risk of mortality compared with the FIGO staging system. This study demonstrates that the expression patterns of miRNAs may hold promise for becoming diagnostic and prognostic biomarkers and novel therapeutic targets for EC. K E Y W O R D S diagnostic classifier, endometrial cancer, microRNA, molecular biomarker, prognostic model S U PP O RTI N G I N FO R M ATI O N Additional supporting information may be found online in the Supporting Information section. How to cite this article: Wang Q, Xu K, Tong Y, et al. Novel miRNA markers for the diagnosis and prognosis of endometrial cancer. J Cell Mol Med. 2020;24:4533-4546. https://doi.