In silico chromosomal clustering of genes displaying altered expression patterns in ovarian cancer

In silico chromosomal clustering of genes displaying altered expression patterns in ovarian cancer
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DOI:
10.1016/j.cancergencyto.2004.11.011
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发表时间:
2005-07-01
影响因子:
--
通讯作者:
Friedman, E
Friedman, E
中科院分区:
其他
文献类型:
--
作者:
Israeli, O;Goldring-Aviram, A;Friedman, E

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卵巢癌是妇科恶性肿瘤致死的首要原因,大多数病例在晚期才被确诊。鉴于早期疾病症状不明显,开发用于检测可能治愈的早期疾病的新型有效标志物的必要性不言而喻。此前已有关于卵巢癌体细胞基因表达模式的综合分析报道(n = 17),这些分析提供了有关体细胞改变基因的大量信息,这些信息可能有助于开发早期检测标志物。为了进一步证实这些基因在卵巢癌肿瘤发生中的作用,我们查阅了这些报告,并根据染色体位置(计算机染色体聚类)对所有报道研究中显著改变的基因进行了排列。随后,将这种聚类与通过比较基因组杂交(CGH)获得的数据中已知的DNA水平的基因组体细胞改变进行了比较。显示基因过度表达的主要染色体区域与20q(包含HE4、SLP1、MYBL2、UBE2C和SDC4)和1q(包含MUC1)处可通过CGH检测到的主要DNA扩增区域相关。这些基因可能为卵巢癌的发病机制提供见解,也可能被证明可作为早期检测工具。(c)2005爱思唯尔公司。保留所有权利。
Ovarian cancer, the leading cause of death due to gynecological malignancy, is diagnosed in most cases at an advanced stage. Combined with the paucity of symptoms of early-stage disease, the need to develop novel effective markers for the detection of potentially curable, early-stage disease is self-evident. Comprehensive analyses of somatic gene expression patterns in ovarian cancer were reported previously (n = 17) and yielded substantial information on somatically altered genes, information that can potentially be useful in developing early detection markers. To further substantiate the role that these genes play in ovarian cancer tumorogenesis, we surveyed these reports and arranged the significantly altered genes from all reported studies by their chromosomal location (in silico chromosomal clustering). Subsequent comparison of this clustering to known genomic somatic alterations at the DNA level from data obtained using comparative genomic hybridization (CGH) was carried out. The major chromosomal regions that displayed overexpressed genes were correlated with the major CGH-detectable DNA amplification areas at 20q (harboring HE4, SLP1, MYBL2, UBE2C, and SDC4) and 1q (harboring MUC1). These genes may provide insights into ovarian cancer pathogenesis and may also prove to be useful as early detection tools. (c) 2005 Elsevier Inc. All rights reserved.