Institute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr University Bochum (IPA), Bochum 44789, Germany.
Department of Thoracic Surgery, University Medicine Essen, Essen 45239, Germany.
Dis Markers. 2020 Sep 19;2020:4176376. doi: 10.1155/2020/4176376. eCollection 2020.
(v-myc avian myelocytomatosis viral oncogene homolog) is one of the most frequently amplified genes in lung tumors. For the analysis of gene copy number variations, dPCR (digital PCR) is an appropriate tool. The aim of our study was the assessment of dPCR for the detection of copy number variations (CNV) in lung tissue considering clinicopathological parameters. . status was analyzed with dPCR as well as qPCR (quantitative PCR) using gDNA (genomic DNA) from tumor and adjacent nontumor tissue samples of lung cancer patients. The performance of was estimated based on the AUC (area under curve).
The results of the amplification correlated significantly between dPCR and qPCR ( = 0.81, < 0.0001). The copy number revealed by dPCR showed statistically significant differences between tumor and adjacent nontumor tissues. For discrimination, a sensitivity of 43% and a specificity of 99% were calculated, representing 55 true-positive and one false-positive tests. No statistically significant differences could be observed for age, sex, and smoking status or the clinicopathological parameters (histological subtype, grade, and stage).
The results of the study show that dPCR is an accurate and reliable method for the determination of copy numbers. The application is characterized by high specificity and moderate sensitivity. amplification is a common event in lung cancer patients, and it is indicated that the determination of the status might be useful in clinical diagnostics.
(v-myc 禽成髓细胞瘤病毒癌基因同源物)是肺肿瘤中最常扩增的基因之一。对于基因拷贝数变异的分析,dPCR(数字 PCR)是一种合适的工具。我们研究的目的是评估 dPCR 检测肺组织中拷贝数变异(CNV)的能力,并考虑临床病理参数。使用来自肺癌患者肿瘤和相邻非肿瘤组织样本的 gDNA(基因组 DNA),通过 dPCR 和 qPCR(定量 PCR)分析 状态。根据 AUC(曲线下面积)评估 的性能。
dPCR 和 qPCR 之间的 扩增结果显著相关( = 0.81,< 0.0001)。dPCR 显示的 拷贝数在肿瘤和相邻非肿瘤组织之间存在统计学显著差异。用于区分时,计算出的灵敏度为 43%,特异性为 99%,代表 55 次真阳性和 1 次假阳性试验。年龄、性别和吸烟状况或临床病理参数(组织学亚型、分级和分期)均无统计学显著差异。
研究结果表明,dPCR 是一种准确可靠的方法,用于确定 拷贝数。该应用的特点是特异性高,灵敏度适中。在肺癌患者中,扩增是常见事件,表明 状态的测定在临床诊断中可能有用。