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基于微滴式数字PCR检测肠癌病人游离环状DNAKRAS突变的新方法 被引量:3

Detection of KRAS mutation in colorectal cancer patients' cfDNA with droplet digital PCR
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摘要 基于微滴式数字聚合酶链式反应(Droplet digital polymerase chain reaction,dd PCR)设计一种检测肠癌游离循环DNA(Circulating cell free DNA,cf DNA)中KRAS(V-Ki-ras2 Kirsten ratsarcoma viral oncogene homolog)基因突变的新方法并评估其灵敏度和准确性。根据肠癌病人KRAS基因的突变类型设计并合成,采用dd PCR扩增并评估其灵敏度和准确性;根据AMRS-PCR引物设计原理设计KRAS基因的实时定量PCR扩增引物并评估其准确性,进而比较dd PCR和q PCR二者之间的优缺点;最后针对52例肠癌病人的cf DNA采用dd PCR进行检测,研究dd PCR在cf DNA KRAS基因突变检测的应用。成功使用dd PCR和q PCR两种方法对KRAS野生型及7种突变型建立检测方法,使用质粒标准品及实际样品验证该两种方法可行并对其假阳性率、线性范围及检测下限等性能进行了评价,最后成功对52例临床患者和20例正常人的血浆cf DNA样本进行检测,临床灵敏度为97.64%,临床特异性为81.43%。dd PCR的检测性能优于q PCR,LOD达到个位数DNA拷贝,最低可确认突变浓度达到0.01%–0.04%。样本提取效率在方法学建立中也十分重要,直接影响到灵敏度和Cut Off值的判定。临床患者检测结果显示其KRAS突变率接近报道水平。 This study aims to develop a new method for the detection of KRAS mutations related to colorectal cancer in cf DNA, and to evaluate the sensitivity and accuracy of the detection. We designed a method of cf DNA based KRAS detection by droplets digital PCR(dd PCR). The theoretical performance of the method is evaluated by reference standard and compared to the ARMS PCR method. Two methods, dd PCR and q PCR, were successfully established to detect KRAS wild type and 7 mutants. Both methods were validated using plasmid standards and actual samples. The results were evaluated by false positive rate, linearity, and limit of detection. Finally, 52 plasma cf DNA samples from patients and 20 samples from healthy people were tested, the clinical sensitivity is 97.64%, clinical specificity is 81.43%. dd PCR method shows higher performance than q PCR. The LOD of dd PCR method reached single digits of cf DNA copies, it can detect as low as 0.01% to 0.04% mutation abundance.
作者 罗宇文 李瑶 Yuwen Luo, and Yao Li(Institute of Genetics, School of Life Sciences, Fudan University, Shanghai 200433, Chin)
出处 《生物工程学报》 CAS CSCD 北大核心 2018年第3期407-420,共14页 Chinese Journal of Biotechnology
关键词 微滴式数字聚合酶链式反应 肠癌游离循环DNA KRAS 液态活检 droplet digital PCR colorectal cancer, cell free DNA, KR.AS, liquid biopsy
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