E-MTAB-3397

• In this study microRNA (miRNA) profiles were studied as potential biomarkers to predict the prostate cancer outcome.

• A set of nine miRNAs was able to separate cases from controls. 
• The detected miRNA expression profiles could predict the development of the disease years before the actual PrCa diagnosis or detect the existence of other cancers in the studied individuals. 
• Furthermore, using an expression Quantitative Trait Loci (eQTL) analysis, regulatory SNPs for miRNA miR-483-3p that were also directly associated with PrCa were found.

• A classification model (normal against prostate cancer) has been built using raw Trainset. The selected probes were:
  1. hsa-mir-939
  2. hsa-mir-877
  3. hsa-mir-601

• The model has been tested using raw Testset.

• A classification model (normal against prostate cancer) has been built using processed Trainset. The selected probes were:
  1. hsa-mir-107
  2. hsa-mir-770-5p
  3. hsa-mir-630
  4. hsa-mir-744*

• The model has been tested using processed Testset.