上皮性卵巢癌中细胞粘附和细胞外基质基因通路突变的高患病率和广谱性。

Arash Rafii, Najeeb M Halabi, Joel A Malek
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引用次数: 7

摘要

背景:卵巢癌是最致命的妇科癌症,因其诊断较晚,常伴有弥漫性腹膜转移。最近的研究结果表明,浆液性上皮性卵巢癌具有狭窄的突变谱,当考虑单基因时,TP53是最常见的目标。然而,了解哪些途径作为一个整体可能成为突变的目标是很重要的。研究结果:先前发表的突变数据由癌症基因组图谱网络提供,对卵巢癌的研究结果进行了搜索,寻找通路中基因的统计学显著富集。然后在所有患者中搜索这些途径以确定突变谱。通过使用经验观察的突变率对外显子组序列进行计算机排列,进一步显示了统计学意义。我们在超过89%的浆液性上皮性卵巢癌患者中检测到细胞粘附途径基因的突变。这种水平的细胞粘附途径(包括细胞外基质途径)的几乎普遍的突变靶向,以前未在上皮性卵巢癌中报道过。结论:结合先前关于细胞粘附和细胞外基质基因表达在卵巢癌和转移中的作用的研究,我们的研究结果确定了以前使用单基因方法忽视突变流行的途径。在通路水平上分析突变对于研究异质性疾病(如卵巢癌)至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

High-prevalence and broad spectrum of Cell Adhesion and Extracellular Matrix gene pathway mutations in epithelial ovarian cancer.

High-prevalence and broad spectrum of Cell Adhesion and Extracellular Matrix gene pathway mutations in epithelial ovarian cancer.

Unlabelled:

Background: Ovarian cancer is the most deadly gynecological cancer because of late diagnosis, frequently with diffuse peritoneal metastases. Recent findings have shown that serous epithelial ovarian cancer has a narrow mutational spectrum with TP53 being the most frequently targeted when single genes are considered. It is, however, important to understand which pathways as a whole may be targeted for mutation.

Findings: Previously published mutational data provided by the cancer genome atlas networks findings on ovarian cancer was searched for statistically significant enrichment of genes in pathways. These pathways were then searched in all patients to identify the spectrum of mutations. Statistical significance was further shown through in-silico permutations of exome sequences using empirically observed mutation rates. We detected mutations in the cell adhesion pathway genes in more than 89% of serous epithelial ovarian cancer patients. This level of near universal mutational targeting of the cell adhesion pathway, including the extracellular matrix pathway, is previously unreported in epithelial ovarian cancer.

Conclusions: Taken together with previous studies on the role of cell adhesion and extracellular matrix gene expression in ovarian cancer and metastasis, our results identify pathways for which the mutational prevalence has previously been overlooked using single gene approaches. Analysis of mutations at the pathway level will be critical in studying heterogeneous diseases such as ovarian cancer.

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