Wikman F P, Lu M L, Thykjaer T, Olesen S H, Andersen L D, Cordon-Cardo C, Orntoft T F
Molecular Diagnostic Laboratory, Department of Clinical Biochemistry, Aarhus University Hospital, 8200 Aarhus N, Denmark.
Clin Chem. 2000 Oct;46(10):1555-61.
Testing for mutations of the TP53 gene in tumors is a valuable predictor for disease outcome in certain cancers, but the time and cost of conventional sequencing limit its use. The present study compares traditional sequencing with the much faster microarray sequencing on a commercially available chip and describes a method to increase the specificity of the chip.
DNA from 140 human bladder tumors was extracted and subjected to a multiplex-PCR before loading onto the p53 GeneChip from Affymetrix. The same samples were previously sequenced by manual dideoxy sequencing. In addition, two cell lines with two different homozygous mutations at the TP53 gene locus were analyzed.
Of 1464 gene chip positions, each of which corresponded to an analyzed nucleotide in the sequence, 251 had background signals that were not attributable to mutations, causing the specificity of mutation calling without mathematical correction to be low. This problem was solved by regarding each chip position as a separate entity with its own noise and threshold characteristics. The use of background plus 2 SD as the cutoff improved the specificity from 0.34 to 0.86 at the cost of a reduced sensitivity, from 0.92 to 0.84, leading to a much better concordance (92%) with results obtained by traditional sequencing. The chip method detected as little as 1% mutated DNA.
Microarray-based sequencing is a novel option to assess TP53 mutations, representing a fast and inexpensive method compared with conventional sequencing.
检测肿瘤中TP53基因的突变是某些癌症疾病预后的重要预测指标,但传统测序的时间和成本限制了其应用。本研究将传统测序与在市售芯片上进行的速度快得多的微阵列测序进行了比较,并描述了一种提高芯片特异性的方法。
从140例人类膀胱肿瘤中提取DNA,在加载到Affymetrix的p53基因芯片之前进行多重PCR。相同的样本之前通过手动双脱氧测序进行过测序。此外,分析了两个在TP53基因位点具有两种不同纯合突变的细胞系。
在1464个基因芯片位置中,每个位置对应序列中的一个分析核苷酸,其中251个具有不归因于突变的背景信号,导致在没有数学校正的情况下突变检测的特异性较低。通过将每个芯片位置视为具有自身噪声和阈值特征的独立实体解决了这个问题。使用背景加2个标准差作为截止值,特异性从0.34提高到0.86,但灵敏度从0.92降低到0.84,导致与传统测序结果的一致性更好(92%)。芯片方法可检测低至1%的突变DNA。
基于微阵列的测序是评估TP53突变的一种新选择,与传统测序相比,是一种快速且廉价的方法。