Identification and subsequent validation of transcriptomic signature associated with metabolic status in endometrial cancer

Metabolic status was successfully evaluated through Nanostring expression profiling of a total of 768 genes in 87 endometrial cancer (EC) cases. The study revealed that 11 genes were deregulated in EC samples. Validation by qRT-PCR confirmed our findings. The results suggest that metabolic profiling can potentially be used as predictive biomarkers of EC. In the study presented here, a consecutively operated, well-defined cohort of 87 EC cases was used to acquire expression profiles of a total of 768 unique metabolic-related genes. ** The submitter noted that the normalized data for the following samples are identical due to low expression of miRNA panel: GSM5858294 Patient_229_FFPE GSM5858297 Patient_250_FFPE