E-MTAB-4667

• High-grade serous ovarian carcinoma (HGSOC) is the most lethal gynecologic neoplasm, with five-year survival rate below 30%. 
• Early disease detection is of utmost importance to improve HGSOC cure rate. 

• In both the training and validation sets, miR-1246, miR-595 and miR-2278 emerged significantly over expressed in the sera of HGSOC patients compared to healthy controls. 

• Receiver Operating Characteristic (ROC) curve analysis revealed miR-1246 as the best diagnostic biomarker, with a sensitivity of 87%, a specificity of 77% and an accuracy of 84%. 

• This study is the first step in the identification of circulating miRNAs with diagnostic relevance for HGSOC. According to its specificity and sensitivity, circulating miR-1246 levels are worthy to be further investigated as potential diagnostic biomarker for HGSOC.

• A classification model has been built using Trainset. The selected probes were:
  1. hsa-mir-1237-3p
  2. hsa-mir-498
  3. hsa-mir-1246

• The model has been tested using Testset.