Cariello N F, Piegorsch W W, Adams W T, Skopek T R
University of North Carolina, Pathology Department, Chapel Hill 27599-7525.
Carcinogenesis. 1994 Oct;15(10):2281-5. doi: 10.1093/carcin/15.10.2281.
Mutations in the p53 oncogene are extremely common in human cancers, and environmental exposure to mutagenic agents may play a role in the frequency and nature of the mutations. Differences in the patterns of p53 mutations have been observed for different tumor types. It is not trivial to determine if the differences observed in two mutational spectra are statistically significant. To this end, we present a computer program for comparison of two mutational spectra. The program runs on IBM-compatible personal computers and is freely available. The input for the program is a text file containing the number and nature of mutations observed in the two spectra. The output of the program is a P value, which indicates the probability that the two spectra are drawn from the same population. To demonstrate the program, the mutational spectra of single base substitutions in the p53 gene are compared in (i) bladder cancers from smokers and non-smokers, (ii) small-cell lung cancers, non-small-cell lung cancers and colon cancers and (iii) hepatocellular carcinomas from high- and low-aflatoxin exposure groups. p53 mutations differ in several important aspects from a typical mutational spectra experiment, where a homogeneous population of cells is treated with a specific mutagen and mutations at a specific locus are recovered by phenotypic selection. The means by which p53 mutations are recognized is by the appearance of a cancer, and this phenotype is very complex and varied.
p53癌基因的突变在人类癌症中极为常见,环境暴露于诱变剂可能在突变的频率和性质方面发挥作用。已观察到不同肿瘤类型的p53突变模式存在差异。确定在两个突变谱中观察到的差异是否具有统计学意义并非易事。为此,我们提出了一个用于比较两个突变谱的计算机程序。该程序在IBM兼容个人计算机上运行且可免费获取。该程序的输入是一个文本文件,其中包含在两个谱中观察到的突变数量和性质。该程序的输出是一个P值,它表示两个谱来自同一总体的概率。为了演示该程序,我们比较了以下几种情况中p53基因单碱基替换的突变谱:(i)吸烟者和非吸烟者的膀胱癌,(ii)小细胞肺癌、非小细胞肺癌和结肠癌,以及(iii)高黄曲霉毒素暴露组和低黄曲霉毒素暴露组的肝细胞癌。p53突变在几个重要方面与典型的突变谱实验不同,在典型实验中,用特定诱变剂处理同质细胞群体,并通过表型选择回收特定位点的突变。识别p53突变的方式是通过癌症的出现,而这种表型非常复杂且多样。