Quantitative gene expression deregulation in mantle-cell lymphoma:: Correlation with clinical and biologic factors

被引:43
作者
Kienle, Dirk
Katzenberger, Tiemo
Ott, German
Saupe, Doreen
Benner, Axel
Kohlhammer, Holger
Barth, Thomas F. E.
Hoeller, Sylvia
Kalla, Joerg
Rosenwald, Andreas
Mueller-Hermelink, Hans Konrad
Moeller, Peter
Lichter, Peter
Deohner, Hartmut
Stilgenbauer, Stephan
机构
[1] Univ Ulm, Dept Internal Med 3, D-89081 Ulm, Germany
[2] Univ Wurzburg, Dept Pathol, Wurzburg, Germany
[3] German Canc Res Ctr, DKFZ, Dept Mol Genet, D-6900 Heidelberg, Germany
[4] Univ Ulm, Dept Pathol, Ulm, Germany
关键词
D O I
10.1200/JCO.2006.08.7999
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Purpose There is evidence for a direct role of quantitative gene expression deregulation in mantle-cell lymphoma (MCL) pathogenesis. Our aim was to investigate gene expression associations with other pathogenic factors and the significance of gene expression in a multivariate survival analysis. Patients and Methods Quantitative expression of 20 genes of potential relevance for MCL prognosis and pathogenesis were analyzed using real-time reverse transcriptase polymerase chain reaction and correlated with clinical and genetic factors, tumor morphology, and Ki-67 index in 65 MCL samples. Results Genomic losses at the loci of TP53, RB1, and P16 were associated with reduced transcript levels of the respective genes, indicating a gene-dosage effect as the pathomechanism. Analysis of gene expression correlations between the candidate genes revealed a separation into two clusters, one dominated by proliferation activators, another by proliferation inhibitors and regulators of apoptosis. Whereas only weak associations were identified between gene expression and clinical parameters or blastoid morphology, several genes were correlated closely with the Ki-67 index, including the short CCND1 variant (positive correlation) and RB1, ATM, P27, and BMI ( negative correlation). In multivariate survival analysis, expression levels of MYC, MDM2, EZH2, and CCND1 were the strongest prognostic factors independently of tumor proliferation and clinical factors. Conclusion These results indicate a pathogenic contribution of several gene transcript levels to the biology and clinical course of MCL. Genes can be differentiated into factors contributing to proliferation deregulation, either by enhancement or loss of inhibition, and proliferation-independent factors potentially contributing to MCL pathogenesis by apoptosis impairment.
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页码:2770 / 2777
页数:8
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