| Literature DB >> 22490335 |
Javeed Iqbal1, Yulei Shen, Yanyan Liu, Kai Fu, Elaine S Jaffe, Cuiling Liu, Zhongfeng Liu, Cynthia M Lachel, Karen Deffenbacher, Timothy C Greiner, Julie M Vose, Sharathkumar Bhagavathi, Louis M Staudt, Lisa Rimsza, Andreas Rosenwald, German Ott, Jan Delabie, Elias Campo, Rita M Braziel, James R Cook, Raymond R Tubbs, Randy D Gascoyne, James O Armitage, Dennis D Weisenburger, Timothy W McKeithan, Wing C Chan.
Abstract
miRNA deregulation has been implicated in the pathogenesis of mantle cell lymphoma (MCL). Using a high-throughput quantitative real-time PCR platform, we performed miRNA profiling on cyclin D1-positive MCL (n = 30) and cyclin D1-negative MCL (n = 7) and compared them with small lymphocytic leukemia/lymphoma (n = 12), aggressive B-cell lymphomas (n = 138), normal B-cell subsets, and stromal cells. We identified a 19-miRNA classifier that included 6 up-regulated miRNAs and 13 down regulated miRNA that was able to distinguish MCL from other aggressive lymphomas. Some of the up-regulated miRNAs are highly expressed in naive B cells. This miRNA classifier showed consistent results in formalin-fixed paraffin-embedded tissues and was able to distinguish cyclin D1-negative MCL from other lymphomas. A 26-miRNA classifier could distinguish MCL from small lymphocytic leukemia/lymphoma, dominated by 23 up-regulated miRNAs in MCL. Unsupervised hierarchical clustering of MCL patients demonstrated a cluster characterized by high expression of miRNAs from the polycistronic miR17-92 cluster and its paralogs, miR-106a-363 and miR-106b-25, and associated with high proliferation gene signature. The other clusters showed enrichment of stroma-associated miRNAs, and also had higher expression of stroma-associated genes. Our clinical outcome analysis in the present study suggested that miRNAs can serve as prognosticators.Entities:
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Year: 2012 PMID: 22490335 PMCID: PMC3367895 DOI: 10.1182/blood-2011-07-370122
Source DB: PubMed Journal: Blood ISSN: 0006-4971 Impact factor: 22.113