Rowsey Ross, Znoyko Iya, Wolff Daynna J
Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
Department of Pathology and Laboratory Medicine, Medical University of South Carolina, Charleston, SC, USA.
Methods Mol Biol. 2019;1908:89-111. doi: 10.1007/978-1-4939-9004-7_7.
The basis of cancer biology is built upon two fundamental processes that result in uncontrolled cell proliferation and tumor formation: loss of tumor suppressor gene function and gain of oncogene function. Somatic DNA copy number variants (CNVs), which generally range in size from kilobases to entire chromosomes, facilitate gains and losses of chromosomal material incorporating oncogenes and tumor suppressor genes, respectively. In fact, many cancer types are characterized by DNA copy number changes and relatively few single nucleotide mutations (Ciriello et al. Nat Genet 45:1127-1133, 2013). Currently, the optimal method to detect such somatic copy number changes across the cancer genome is whole-genome single nucleotide polymorphism (SNP) microarray analysis.
肿瘤抑制基因功能丧失和癌基因功能获得。体细胞DNA拷贝数变异(CNV),其大小通常从千碱基到整条染色体不等,分别促进了包含癌基因和肿瘤抑制基因的染色体物质的增加和减少。事实上,许多癌症类型的特征是DNA拷贝数变化,而单核苷酸突变相对较少(西里埃洛等人,《自然遗传学》45:1127 - 1133,2013年)。目前,检测癌症基因组中此类体细胞拷贝数变化的最佳方法是全基因组单核苷酸多态性(SNP)微阵列分析。