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MicroRNA (miRNA) deregulation contributes to cancer pathogenesis. However, analysis of miRNAs in diffuse large B-cell lymphoma (DLBCL) has been hindered by a focus on cell lines, limited number of miRNAs examined, and lack of copy number data. To address these restrictions, we investigated genomewide miRNA expression and copy number data in 86 DLBCLs. Permutation analysis showed that 63 miRNAs were recurrently disrupted in DLBCL, including highly expressed oncomirs not previously linked to chromosomal abnormalities. Further, using training and validation tumor groups, we defined a collection of miRNAs that robustly segregates DLBCLs into 3 subsets, which are independent of the cell-of-origin classification, extent of T-cell infiltrate, and tumor site. Instead, these unique miRNA-driven DLBCL subgroups showed markedly different MYC transcriptional activity, which explained the dominance of miRNAs regulated by MYC in their expression signatures. In addition, analysis of miRNA expression patterns of normal B cells and integration of copy number and expression data showed that genomic abnormalities and the genetic fingerprint of nonmalignant cells also contribute to the miRNA profile of DLBCL. In conclusion, we created a comprehensive map of the miRNA genome in DLBCL and, in the process, have uncovered and mechanistically elucidated the basis for additional molecular heterogeneity in this tumor.

Array-based comparative genomic hybridization (array CGH) provides a powerful method for simultaneous genome-wide scanning and prognostic marker assessment in chronic lymphocytic leukemia (CLL). In the current study, commercially available bacterial artificial chromosome and oligonucleotide array CGH platforms were used to identify chromosomal alterations of prognostic significance in 174 CLL cases. Tumor genomes were initially analyzed by bacterial artificial chromosome array CGH followed by confirmation and breakpoint mapping using oligonucleotide arrays. Genomic changes involving loci currently interrogated by fluorescence in situ hybridization (FISH) panels were detected in 155 cases (89%) at expected frequencies: 13q14 loss (47%), trisomy 12 (13%), 11q loss (11%), 6q loss (7.5%), and 17p loss (4.6%). Genomic instability was the second most commonly identified alteration of prognostic significance with three or more alterations involving loci not interrogated by FISH panels identified in 37 CLL cases (21%). A subset of 48 CLL cases analyzed by six-probe FISH panels (288 total hybridizations) was concordant with array CGH results for 275 hybridizations (95.5%); 13 hybridizations (4.5%) were discordant because of clonal populations that comprised less than 30% of the sample. Array CGH is a powerful, cost-effective tool for genome-wide risk assessment in the clinical evaluation of CLL.

The t(14;18) is the most common genetic alteration in follicular lymphoma, and is detectable in a subset of diffuse large B-cell lymphomas (DLBCL), resulting in over-expression of the anti-apoptotic protein BCL-2. Although the t(14;18)-induced over-expression of BCL-2 is an important step in lymphomagenesis, this aberration alone is not sufficient to produce malignant lymphoma. Further analysis of these tumors is needed to identify additional genes that might be involved in the genesis of follicular lymphoma and progression to DLBCL. To address this issue, we analyzed the gene expression profiles of four t(14;18)-positive cell lines and two t(11;14)-positive mantle-cell lymphoma cell lines using cDNA microarrays containing 4364 genes, and compared them to the genetic profile of phenotypically purified B-cells obtained from hyperplastic tonsils. A total of 137 genes were differentially expressed by approximately twofold or more in the t(14;18) cell lines relative to tonsillar B-cells. 68 genes were up-regulated, 69 genes were down-regulated, and approximately 20% of the differentially regulated genes had no known function. The up-regulated genes included a number of genes involved in the promotion of cellular proliferation and survival, as well as cell metabolism. Down-regulated genes included mediators of cell adhesion and negative regulators of cell activation and growth. Hierarchical clustering analysis separated the t(14;18) and mantle-cell lines into distinct groups based on their gene expression profiles. We confirmed the differential expression of approximately 80% of selected up- and down-regulated genes identified by microarray analysis by quantitative real-time fluorescence reverse transcriptase polymerase chain reaction (RT-PCR) analysis and/or immunoblotting. This study demonstrates the utility of cDNA microarray analysis for the assessment of global transcriptional changes that characterize t(14;18)-positive cell lines, and also for the identification of novel genes that could potentially contribute to the genesis and progression of non-Hodgkin's lymphomas with this translocation.