GSE31568

• The aim of our multicenter study was to elucidate and compare blood expression profiles of 863 miRNAs by array analysis of 454 blood samples from human individuals for different human diseases to test for disease-specific alterations. 
  1. Lung cancer
  2. Prostate cancer (23 cases)
  3. Pancreatic ductal adenocarcinoma
  4. Melanoma
  5. Ovarian cancer
  6. Tumor of stomach
  7. Wilms tumor
  8. Pancreatic tumors
  9. Multiple sclerosis
  10. Chronic obstructive pulmonary disease (COPD)
  11. Sarcoidosis
  12. Periodontitis
  13. Pancreatitis
  14. Acute myocardial infarction
  15. Unaffected individuals or controls (70 cases)

• To test for technical variance, the measurements on four samples (two blood samples and two tissue samples) have been repeated and found a median correlation of 0.97. 
• The correlation between different samples was significantly lower as shown by two-tailed unpaired Wilcoxon Mann-Whitney test (P < 0.05). 
• To estimate the biological variance, blood samples taken from a healthy individual have been analyzed at three different time points during the day (9 a.m., 12 noon and 3 p.m.), with duplicate measurements at each time. Median correlation between the time points was 0.98 and between duplicates it was 0.99.

• A classification model has been built using Trainset. The selected probes were:
  1. hsa-mir-519b-5p
  2. hsa-mir-1283

• The model has been tested using Testset.