![]() DEERGs shared between molecular subtypes were comparatively few. In pathway analysis, various EMT-related pathways were enriched. By comparing expression profiles, 266 genes were identified as DEERGs, in which 184 were upregulated and 82 were downregulated. Median EMT score of tumor tissues from LN-negative group was − 0.369, while that from the LN-positive group was − 0.296 ( P < 0.001), which clearly exhibited a more mesenchymal phenotype for LNM cases on the EMT continuum. ResultsĪ total of 498 patients were included, with 75 in the LN-positive group. We eventually adopted the logistic regression model to build an ERG-based gene signature with predictive value for LNM in EC. On the basis of DEERGs, pathway analysis was carried out. The EMT-related genes (ERGs) were obtained from the dbEMT2 database, and the differentially expressed ERGs (DEERGs) between these two groups were screened. To evaluate the extent of EMT, an EMT signature composed of 315 genes was adopted. Patients with stage IA–IIIC2 EC were included, constituting the LN-positive and LN-negative groups. Transcriptional data were derived from the TCGA database. Nevertheless, there is still rare literature focusing on the role of epithelial-mesenchymal transition (EMT) in lymph node metastasis (LNM) in EC. Endometrial cancer (EC) with metastasis in pelvic/para-aortic lymph nodes suggests an unsatisfactory prognosis. ![]()
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