Barresi Vincenza, Castorina Sergio, Musso Nicolò, Capizzi Carmela, Luca Tonia, Privitera Giovanna, Condorelli Daniele Filippo
Department of Biomedical and Biotechnological Sciences, Section of Medical Biochemistry, University of Catania, Italy; Laboratory of Complex Systems, Scuola Superiore di Catania, University of Catania, Italy.
Department of Biomedical and Biotechnological Sciences, Section of Anatomy, University of Catania, Italy; Fondazione Mediterranea G.B. Morgagni, Catania, Italy.
Cancer Genet. 2017 Jan;210:9-21. doi: 10.1016/j.cancergen.2016.11.001. Epub 2016 Nov 22.
Chromosomal instability (CIN) is classically defined as an increase in the rate at which numerical or structural chromosomal aberrations are acquired in a cancer cell. The number of somatic copy number abnormalities (CNAs) revealed by high resolution genomic array can be considered as a surrogate marker for CIN, but several points, related to sample processing and data analysis, need to be standardized. In this work we analyzed 51 CRC samples and matched normal mucosae by whole genome SNP arrays and compared different bioinformatics tools in order to identify broad (>25% of a chromosomal arm) and focal somatic copy number abnormalities (BCNAs and FCNAs respectively). In 15 tumors, two samples, separated by at least 1 cm, were taken from the same tumor mass (double-sampling pairs) in order to evaluate differences in detection of chromosomal abnormalities between distant regions of the same tumor and their influence on CIN quantitative and qualitative analysis. Our data show a high degree of correlation of the quantitative CIN index (somatic BCNA number) between distant tumor regions. On the contrary, a lower correlation is observed in terms of chromosomal distribution of BCNAs, as summarized by a simplified cytogenetic table. Quantitative or qualitative analysis of FCNAs, including homozygous deletions and high level amplifications, did not add further information on the CIN status. The use of the index "somatic BCNA number" can be proposed for a robust classification of tumors as CIN positive or negative even in the presence of a significant tumor regional heterogeneity.
染色体不稳定(CIN)传统上被定义为癌细胞中获得数字或结构染色体畸变的速率增加。高分辨率基因组阵列揭示的体细胞拷贝数异常(CNA)数量可被视为CIN的替代标志物,但与样本处理和数据分析相关的几个要点需要标准化。在这项工作中,我们通过全基因组SNP阵列分析了51例结直肠癌样本及其匹配的正常黏膜,并比较了不同的生物信息学工具,以识别广泛(>染色体臂的25%)和局灶性体细胞拷贝数异常(分别为BCNA和FCNA)。在15个肿瘤中,从同一肿瘤块中采集了两个至少相隔1厘米的样本(双采样对),以评估同一肿瘤不同区域之间染色体异常检测的差异及其对CIN定量和定性分析的影响。我们的数据显示,远处肿瘤区域之间的定量CIN指数(体细胞BCNA数量)具有高度相关性。相反,如简化细胞遗传学表所示,在BCNA的染色体分布方面观察到较低的相关性。对包括纯合缺失和高水平扩增在内的FCNA进行定量或定性分析,并未为CIN状态提供更多信息。即使存在显著的肿瘤区域异质性,也可以使用“体细胞BCNA数量”指数对肿瘤进行稳健分类,分为CIN阳性或阴性。