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Genome-wide miRNA profiling of mantle cell lymphoma reveals a distinct subgroup with poor prognosis
Authors:Iqbal Javeed  Shen Yulei  Liu Yanyan  Fu Kai  Jaffe Elaine S  Liu Cuiling  Liu Zhongfeng  Lachel Cynthia M  Deffenbacher Karen  Greiner Timothy C  Vose Julie M  Bhagavathi Sharathkumar  Staudt Louis M  Rimsza Lisa  Rosenwald Andreas  Ott German  Delabie Jan  Campo Elias  Braziel Rita M  Cook James R  Tubbs Raymond R  Gascoyne Randy D  Armitage James O  Weisenburger Dennis D  McKeithan Timothy W  Chan Wing C
Affiliation:Department of Pathology and Microbiology, University of Nebraska Medical Center, Omaha, NE 68198-3135, USA.
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.
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