Abstract
A new and powerful tool for classification and understanding the biology of human lymphomas is microRNA (miRNA) expression profiling. MiRNAs comprise a class of approximately 1000 RNA species, which are thought to directly regulate the expression of ∼30% of the transcripts of the human genome on a posttranscriptional level. An important regulatory role of miRNAs has been implicated in biological processes such as cell proliferation and differentiation, fat metabolism, insulin secretion and hematopoiesis. Recent studies indicate that miRNAs are mechanistically involved in the development of various human malignancies and therefore represent a promising new class of biomarkers. We evaluated the miRNA expression profiles of 58 Diffuse Large B-Cell Lymphomas (DLBCL), 46 Follicular Lymphomas (FL) and 7 lymph nodes with chronic lymphadenitis. A quantitative PCR-based method was used to determine the expression levels of 157 miRNA species. The analysis was performed exclusively on FFPE tissues, which are traditionally inapt to molecular analysis. It was possible to clearly distinguish malignant and non-malignant tissues by miRNA expression patterns. We found 34 differentially expressed miRNAs by comparing DLBCL and lymph nodes, 25 miRNAs by comparing FL and lymph nodes and 55 by comparing DLBCL and FL. It was noticeable that the miRNA expression profiles of FL and lymph nodes are more similar compared to miRNA expression profiles of DLBCL. We were also interested to find out whether it is possible to classify the DLBCL cases in germinal center-like DLBCL (GCB-DLBCL) and Non-germinal center-like DLBCL (Non-GCB-DLBCL) based on miRNA expression patterns. We used the immunohistochemical classification, published by Hans et al., to identify both subgroups (
Author notes
Disclosure: No relevant conflicts of interest to declare.
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