 Variables will be tested for normality with Shapiro Wilks test. The level of expression of miR-451, miR151-5p and miR-1290 will be compared between patients during remission and patients during relapse by Mann-Whitney U test. Continuous data will be depicted in box plots showing median and interquartile range. Logistic regression will be used to test the miR values nominal positivenegative and continuous with each other and with other variables comparing between patients at remission and patients at relapse. The optimal combination Classifier will be created according to the above analysis. Categorical variables will be summarized by frequency tables, indicating numbers and frequencies of miR status positive versus negative. Data will be compared by Fisher exact for dichotomous 2x2 tables values or chi-square or chi-square for trend for tables. Odds ratios and likelihood ratios will be calculated. Receiver operating characteristic curves will be created, the independent variables are miR-451 or miR-151-p, miR-1290 and dependent variable is relapse or remission. Receiver operating characteristic curves will be created for the combined Classifier. Additional analyses will be performed if results from planned analyses give reasonable warrant. 