Miller Brian J, Wang Daolong, Krahe Ralf, Wright Fred A
College of Medicine and Public Health, The Ohio State University, Columbus, OH, USA.
Am J Hum Genet. 2003 Oct;73(4):748-67. doi: 10.1086/378522. Epub 2003 Sep 16.
Somatic loss of heterozygosity (LOH) has been widely reported in breast cancer as a means of identifying putative tumor-suppressor genes. However, individual studies have rarely spanned more than a single chromosome, and the varying criteria used to declare LOH complicate efforts to formally differentiate regions of consistent versus sporadic (random) loss. We report here the compilation of an extensive database from 151 published LOH studies of breast cancer, with summary data from >15,000 tumors and primary allelotypes from >4,300 tumors. Allelic loss was evaluated at 1,168 marker loci, with large variation in the density of informative observations across the genome. Using studies in which primary allelotype information was available, we employed a likelihood-based approach with a formal chromosomal instability and selection model. The approach seeks direct evidence for preferential loss at each locus compared with nearby loci, accounts for heterogeneity across studies, and enables the direct comparison of candidate regions across the genome. Striking preferential loss was observed (in descending order of significance) in specific regions of chromosomes 7q, 16q, 13q, 17p, 8p, 21q, 3p, 18q, 2q, and 19p, as well as other regions, in many cases coinciding with previously identified candidate genes or known fragile sites. Many of these observations were not possible from any single LOH study, and our results suggest that many previously reported LOH results are not systematic or reproducible. Our approach provides a comparative framework for further investigation of regions exhibiting LOH and identifies broad genomic regions for which there exist few data.
体细胞杂合性缺失(LOH)在乳腺癌中已被广泛报道,作为一种识别假定肿瘤抑制基因的手段。然而,个别研究很少跨越单个以上的染色体,并且用于判定LOH的标准各不相同,这使得正式区分一致性缺失区域与散发性(随机)缺失区域的工作变得复杂。我们在此报告了一个广泛数据库的汇编,该数据库来自151项已发表的乳腺癌LOH研究,包含超过15000个肿瘤的汇总数据以及超过4300个肿瘤的原发性等位基因型。在1168个标记位点评估等位基因缺失,全基因组中信息性观察的密度差异很大。利用可获得原发性等位基因型信息的研究,我们采用了基于似然性的方法以及正式的染色体不稳定性和选择模型。该方法寻求每个位点与附近位点相比优先缺失的直接证据,考虑了不同研究之间的异质性,并能够直接比较全基因组中的候选区域。在7q、16q、13q、17p、8p、21q、3p、18q、2q和19p染色体的特定区域以及其他区域观察到显著的优先缺失(按显著性降序排列),在许多情况下与先前鉴定的候选基因或已知的脆性位点一致。许多这些观察结果不可能从任何单个LOH研究中获得,我们的结果表明,许多先前报道的LOH结果不具有系统性或可重复性。我们的方法为进一步研究显示LOH的区域提供了一个比较框架,并确定了几乎没有数据的广泛基因组区域。