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Blood, 25 June 2009, Vol. 113, No. 26, pp. 6681-6690.
Prepublished online as a Blood First Edition Paper on March 10, 2009; DOI 10.1182/blood-2009-01-202028.


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Submitted January 28, 2009
Accepted March 1, 2009

Copy number abnormalities, MYC activity and the genetic fingerprint of normal B-cells mechanistically define the microRNA profile of DLBCL

Cheng Li, Sang-Woo Kim, Deepak Rai, Aswani R. Bolla, Siddharth Adhvaryu, Marsha C. Kinney, Ryan S. Robetorye, and Ricardo C. T. Aguiar*

Department of Biostatistics, Harvard School of Public Health, Boston, MA, United States
Division of Hematology and Medical Oncology, Cancer Therapy and Research Center, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States
Department of Pathology, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States

* Corresponding author; email: aguiarr{at}uthscsa.edu.

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 genome-wide 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 three 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. Additionally, analysis of miRNA expression patterns of normal B-cells, and integration of copy number and expression data, demonstrated that genomic abnormalities and the genetic fingerprint of non-malignant 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


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