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Construction and analysis of tree models for chromosomal classification of diffuse large B-cell lymphomas

机译:弥漫性大B细胞淋巴瘤的染色体分类树模型的构建和分析

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摘要

AIM: To construct tree models for classification of diffuse large B-cell lymphomas (DLBCL) by chromosome copy numbers, to compare them with cDNA microarray classification, and to explore models of multi-gene, multi-step and multi-pathway processes of DLBCL tumorigenesis.METHODS: Maximum-weight branching and distance-based models were constructed based on the comparative genomic hybridization (CGH) data of 123 DLBCL samples using the established methods and software of Desper et al. A maximum likelihood tree model was also used to analyze the data. By comparing with the results reported in literature, values of tree models in the classification of DLBCL were elucidated.RESULTS: Both the branching and the distance-based trees classified DLBCL into three groups. We combined the classification methods of the two models and classified DLBCL into three categories according to their characteristics. The first group was marked by +Xq, +Xp, -17p and +13q; the second group by +3q, +18q and +18p; and the third group was marked by -6q and +6p. This chromosomal classification was consistent with cDNA classification. It indicated that -6q and +3q were two main events in the tumorigenesis of lymphoma.CONCLUSION: Tree models of lymphoma established from CGH data can be used in the classification of DLBCL. These models can suggest multi-gene, multi-step and multi-pathway processes of tumorigenesis. Two pathways, -6q preceding +6q and +3q preceding +18q, may be important in understanding tumorigenesis of DLBCL. The pathway, -6q preceding +6q, may have a close relationship with the tumorigenesis of non-GCB DLBCL.
机译:目的:构建通过染色体拷贝数对弥漫性大B细胞淋巴瘤(DLBCL)进行分类的树模型,并将其与cDNA微阵列分类进行比较,并探索DLBCL的多基因,多步骤和多途径过程的模型方法:使用Desper等人建立的方法和软件,基于123个DLBCL样品的比较基因组杂交(CGH)数据,建立最大权重分支和基于距离的模型。最大似然树模型也用于分析数据。通过与文献报道的结果进行比较,阐明了树木模型在DLBCL分类中的价值。结果:分支树和基于距离的树都将DLBCL分为三类。我们结合了两种模型的分类方法,并根据特征将DLBCL分为三类。第一组标记为+ Xq,+ Xp,-17p和+ 13q;第二组为+ 3q,+ 18q和+ 18p;第三组的标记为-6q和+ 6p。该染色体分类与cDNA分类一致。提示-6q和+ 3q是淋巴瘤发生的两个主要事件。结论:利用CGH数据建立的淋巴瘤树模型可用于DLBCL的分类。这些模型可以提示肿瘤发生的多基因,多步骤和多途径过程。在+ 6q之前的-6q和+ 18q之前的+ 3q这两个途径可能对理解DLBCL的肿瘤发生很重要。该途径,在+ 6q之前的-6q,可能与非GCB DLBCL的肿瘤发生密切相关。

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