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通过等位基因分型数据的贝叶斯网络分析得出的尿路上皮癌进展途径。

Pathways of urothelial cancer progression suggested by Bayesian network analysis of allelotyping data.

作者信息

Bulashevska Svetlana, Szakacs Orsolya, Brors Benedikt, Eils Roland, Kovacs Gyula

机构信息

Division Intelligent Bioinformatics Systems, German Cancer Research Center, Im Neuenheimer Feld 280, 69120 Heidelberg, Germany.

出版信息

Int J Cancer. 2004 Jul 20;110(6):850-6. doi: 10.1002/ijc.20180.

Abstract

Urothelial cancers of the bladder (UC) comprise biologically heterogeneous group of tumors and display complex genetic alterations. Several genetic changes have been analyzed in detail and some of them are associated with the development and progression of UCs. Only a few studies, however, are focused on identifying the order in which the aberrations may appear during UC tumorigenesis. We have analyzed 123 papillary UCs of the bladder by microsatellites for each of the chromosomal regions that have been suggested to be specifically involved in this type of tumor. We used Bayesian network modeling that enables to uncover multivariate probabilistic dependencies between variables. This methodology applied to LOH data allowed us to discover patterns of losses in UCs. Exploiting the mechanism of probabilistic reasoning in Bayesian networks we suggest primary and secondary events in tumor pathogenesis and reconstruct the possible flow of progression of allelic changes. Losses of chromosome 9p and 9q were found to be the primary events. Losses of 8p and 17p are important events leading to progression of tumor cell clones. The loss of 17p occurs when both abnormalities of chromosome 9 and 8p are already present. There are chromosomal losses related to 8p (1q, 18q, 10q) and some losses like 5q/5p were associated with 17p, leading to the hypothesis of different genetic pathways of UC progression. The abnormalities of chromosome regions 13q, 16q, 6q, 14q, 3p are suggested to be late events being accumulated during the progression of cancer. Although some genetic changes were associated only with the 8p pathway, most secondary genetic changes appear in both pathways. Supplementary material for this article can be found on the International Journal of Cancer website at http://www.interscience.wiley.com/jpages/0020-7136/suppmat/index.html.

摘要

膀胱尿路上皮癌(UC)由生物学上异质性的肿瘤群体组成,表现出复杂的基因改变。一些基因变化已被详细分析,其中一些与UC的发生和发展相关。然而,只有少数研究专注于确定这些畸变在UC肿瘤发生过程中可能出现的顺序。我们通过微卫星分析了123例膀胱乳头状UC,针对每个已被认为特别涉及此类肿瘤的染色体区域。我们使用贝叶斯网络建模,该方法能够揭示变量之间的多变量概率依赖性。将此方法应用于杂合性缺失(LOH)数据,使我们能够发现UC中的缺失模式。利用贝叶斯网络中的概率推理机制,我们提出了肿瘤发病机制中的主要和次要事件,并重建了等位基因变化可能的进展流程。发现9号染色体短臂(9p)和9号染色体长臂(9q)的缺失是主要事件。8号染色体短臂(8p)和17号染色体短臂(17p)的缺失是导致肿瘤细胞克隆进展的重要事件。17p的缺失发生在9号染色体和8p的异常均已存在时。存在与8p相关的染色体缺失(1号染色体长臂、18号染色体长臂、10号染色体长臂),一些缺失如5号染色体长臂/5号染色体短臂与17p相关,从而导致UC进展存在不同遗传途径的假设。13号染色体长臂、16号染色体长臂、6号染色体长臂、14号染色体长臂、3号染色体短臂区域的异常被认为是癌症进展过程中积累的晚期事件。尽管一些基因变化仅与8p途径相关,但大多数次要基因变化在两条途径中均出现。本文的补充材料可在《国际癌症杂志》网站上找到,网址为http://www.interscience.wiley.com/jpages/0020-7136/suppmat/index.html。

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