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克隆性的统计检验。

Statistical tests for clonality.

作者信息

Begg Colin B, Eng Kevin H, Hummer Amanda J

机构信息

Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, 307 E. 63rd Street, Room 303, New York, New York 10021, USA.

出版信息

Biometrics. 2007 Jun;63(2):522-30. doi: 10.1111/j.1541-0420.2006.00681.x.

Abstract

Cancer investigators frequently conduct studies to examine tumor samples from pairs of apparently independent primary tumors with a view to determine whether they share a "clonal" origin. The genetic fingerprints of the tumors are compared using a panel of markers, often representing loss of heterozygosity (LOH) at distinct genetic loci. In this article we evaluate candidate significance tests for this purpose. The relevant information is derived from the observed correlation of the tumors with respect to the occurrence of LOH at individual loci, a phenomenon that can be evaluated using Fisher's exact test. Information is also available from the extent to which losses at the same locus occur on the same parental allele. Data from these combined sources of information can be evaluated using a simple adaptation of Fisher's exact test. The test statistic is the total number of loci at which concordant mutations occur on the same parental allele, with higher values providing more evidence in favor of a clonal origin for the two tumors. The test is shown to have high power for detecting clonality for plausible models of the alternative (clonal) hypothesis, and for reasonable numbers of informative loci, preferably located on distinct chromosomal arms. The method is illustrated using studies to identify clonality in contralateral breast cancer. Interpretation of the results of these tests requires caution due to simplifying assumptions regarding the possible variability in mutation probabilities between loci, and possible imbalances in the mutation probabilities between parental alleles. Nonetheless, we conclude that the method represents a simple, powerful strategy for distinguishing independent tumors from those of clonal origin.

摘要

癌症研究人员经常开展研究,检查来自成对的看似独立的原发性肿瘤的样本,以确定它们是否具有“克隆”起源。使用一组标记物比较肿瘤的基因指纹,这些标记物通常代表不同基因座处杂合性缺失(LOH)。在本文中,我们评估用于此目的的候选显著性检验。相关信息来自观察到的肿瘤在各个基因座处LOH发生情况的相关性,这种现象可以使用费舍尔精确检验进行评估。关于同一基因座上的缺失在同一亲本等位基因上发生的程度也可获得信息。来自这些综合信息源的数据可以使用费舍尔精确检验的简单改编进行评估。检验统计量是在同一亲本等位基因上发生一致突变的基因座总数,值越高表明支持这两个肿瘤具有克隆起源的证据越多。对于备择(克隆)假设的合理模型以及合理数量的信息性基因座(最好位于不同的染色体臂上),该检验显示出检测克隆性的高功效。本文使用识别对侧乳腺癌克隆性的研究来说明该方法。由于对基因座之间突变概率的可能变异性以及亲本等位基因之间突变概率的可能不平衡做出了简化假设,对这些检验结果的解释需要谨慎。尽管如此,我们得出结论,该方法代表了一种区分独立肿瘤和克隆起源肿瘤的简单而有效的策略。

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