Identification and subsequent validation of transcriptomic signature associated with metabolic status in endometrial cancer. 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. Overall design: 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