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Purpose Diffuse large B-cell lymphoma (DLBCL) heterogeneity has prompted investigations for new biomarkers that can accurately predict survival. A previously reported 6-gene model combined with the international prognostic index (IPI) could predict patients’ outcome. However, even these predictors are not capable of unambiguously identifying outcome, suggesting that additional biomarkers might improve their predictive power. Experimental Design We studied expression of 11 microRNAs that had previously been reported to have variable expression in DLBCL tumors. We measured the expression of each microRNA by quantitative real-time polymerase-chain-reaction analyses in 176 samples from uniformly treated DLBCL patients and correlated the results to survival. Results In a univariate analysis, the expression of miR-18a correlated with overall survival (OS), whereas the expression of miR-181a and miR-222 correlated with progression-free survival (PFS). A multivariate Cox regression analysis including the IPI, the 6-gene model-derived Mortality Predictor Score and expression the of miR-18a, miR-181a, and miR-222, revealed that all variables were independent predictors of survival except the expression of miR-222 for OS and the expression of miR-18a for PFS. Conclusion The expression of specific miRNAs may be useful for DLBCL survival prediction and their role in the pathogenesis of this disease should be examined further.