MicroRNAs are considered as promising prognostic and diagnostic biomarkers of human cancer since their profiles differ between tumor types. Most of the tumor profiling studies were performed on rarely available fresh frozen (FF) samples. Alternatively, archived formalin-fixed paraffin-embedded (FFPE) tissue samples are also well applicable to larger-scale retrospective miRNA profiling studies. The aim of this study was to perform systematic comparison of the miRNA expression profiles between FF and macrodissected FFPE tonsillar tumors using the TaqMan Low Density Array system, with the data processed by different software programs and two types of normalization methods. We observed a marked correlation between the miRNA expression profiles of paired FF and FFPE samples; however, only 27-38% of the differentially deregulated miRNAs overlapped between the two source systems. The comparison of the results with regard to the distinct modes of data normalization revealed an overlap in 58-67% of differentially expressed miRNAs, with no influence of the choice of software platform. Our study highlights the fact that for an accurate comparison of the miRNA expression profiles from published studies, it is important to use the same type of clinical material and to test and select the best-performing normalization method for data analysis.

Department of Genetics and Microbiology Faculty of Science Charles University Prague Czech Republic

Department of Immunology Institute of Hematology and Blood Transfusion Prague Czech Republic

Department of Otorhinolaryngology and Head and Neck Surgery 1st Faculty of Medicine Charles University Motol University Hospital Prague Czech Republic

Department of Pathology and Molecular Medicine 2nd Faculty of Medicine Charles University Prague Czech Republic

Molecular Mechanisms and Biomarkers Group International Agency for Research on Cancer Lyon France

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