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An improved digital polymerase chain reaction protocol to capture low‐copy KRAS mutations in plasma cell‐free DNA by resolving ‘subsampling’ issues

机译:一种改进的数字聚合酶链反应方案,通过解决“回顾性”问题来捕获血浆无细胞DNA中的低拷贝KRAS突变

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Genetic alterations responsible for the initiation of cancer may serve as immediate biomarkers for early diagnosis. Plasma levels of cell‐free DNA (cfDNA) in patients with cancer are higher than those in healthy individuals; however, the major technical challenge for the widespread implementation of cfDNA genotyping as a diagnostic tool is the insufficient sensitivity and specificity of detecting early‐stage tumors that shed low amounts of cfDNA. To establish a protocol for ultrasensitive droplet digital polymerase chain reaction (ddPCR) for quantification of low‐frequency alleles within a limited cfDNA pool, two‐step multiplex ddPCR targeting eight clinically relevant mutant KRAS variants was examined. Plasma samples from patients with colorectal ( n =?10) and pancreatic cancer ( n =?9) were evaluated, and cfDNA from healthy volunteers ( n =?50) was utilized to calculate reference intervals. Limited cfDNA yields in patients with resectable colorectal and pancreatic cancers did not meet the requirement for efficient capture and quantification of rate mutant alleles by ddPCR. Eight preamplification cycles followed by a second‐run ddPCR were sufficient to obtain approximately 5000–10?000 amplified copies per ng of cfDNA, resolving the subsampling issue. Furthermore, the signal‐to‐noise ratio for rare mutant alleles against the extensive background presented by the wild‐type allele was significantly enhanced. The cutoff limit of reference intervals for mutant KRAS was determined to be ~?0.09% based on samples from healthy individuals. The modification introduced in the ddPCR protocol facilitated the quantification of low‐copy alleles carrying driver mutations, such as oncogenic KRAS , in localized and early‐stage cancers using small blood volumes, thus offering a minimally invasive modality for timely diagnosis.
机译:负责癌症引发的遗传改变可以作为早期诊断的立即生物标志物。癌症患者的无细胞DNA(CFDNA)的血浆水平高于健康个体;然而,作为诊断工具的CFDNA基因分型广泛实施的主要技术挑战是检测脱落量低量CFDNA的早期肿瘤的敏感性和特异性不足。为了建立超敏感液滴数字聚合酶链反应(DDPCR)的方案,用于定量有限CFDNA池内的低频等位基因,检查靶向八个临床相关突变体KRAS变体的两步多重DDPCR。评价来自结直肠(n =α10)和胰腺癌(n =β9)的血浆样品,利用来自健康志愿者的CFDNA(n =Δ50)来计算参考间隔。有限的CFDNA产量在可重新切割结直肠癌和胰腺癌的患者中,不符合DDPCR的有效捕获和定量率突变等位基因的要求。八个前置放大循环,然后是第二运行DDPCR,足以获得每ng CFDNA的约5000-10Ω·000份的扩增拷贝,解决了对数据采样问题。此外,显着提高了野生型等位基因呈现的广泛背景的稀有突变等位基因的信噪比。基于来自健康个体的样品,确定突变KRA的参考间隔的截止限制是〜〜0.09%。在DDPCR协议中引入的修改促进了使用小血液体积的局部和早期癌症中携带载体突变的低拷贝等位基因,例如致癌癌症,从而提供最微创的模型以及时诊断。

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