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下一代测序技术与 BRAF、EGFR 和 KRAS 突变分析的现行诊断金标准比较的验证。

Validation of next generation sequencing technologies in comparison to current diagnostic gold standards for BRAF, EGFR and KRAS mutational analysis.

机构信息

Molecular Pathology Programme, Centre for Cancer Research and Cell Biology, Queen's University Belfast, Belfast, United Kingdom.

出版信息

PLoS One. 2013 Jul 26;8(7):e69604. doi: 10.1371/journal.pone.0069604. Print 2013.

Abstract

Next Generation Sequencing (NGS) has the potential of becoming an important tool in clinical diagnosis and therapeutic decision-making in oncology owing to its enhanced sensitivity in DNA mutation detection, fast-turnaround of samples in comparison to current gold standard methods and the potential to sequence a large number of cancer-driving genes at the one time. We aim to test the diagnostic accuracy of current NGS technology in the analysis of mutations that represent current standard-of-care, and its reliability to generate concomitant information on other key genes in human oncogenesis. Thirteen clinical samples (8 lung adenocarcinomas, 3 colon carcinomas and 2 malignant melanomas) already genotyped for EGFR, KRAS and BRAF mutations by current standard-of-care methods (Sanger Sequencing and q-PCR), were analysed for detection of mutations in the same three genes using two NGS platforms and an additional 43 genes with one of these platforms. The results were analysed using closed platform-specific proprietary bioinformatics software as well as open third party applications. Our results indicate that the existing format of the NGS technology performed well in detecting the clinically relevant mutations stated above but may not be reliable for a broader unsupervised analysis of the wider genome in its current design. Our study represents a diagnostically lead validation of the major strengths and weaknesses of this technology before consideration for diagnostic use.

摘要

下一代测序(NGS)由于其在 DNA 突变检测方面的高灵敏度、与当前金标准方法相比样本周转更快,以及同时对大量致癌基因进行测序的潜力,有望成为肿瘤学临床诊断和治疗决策的重要工具。我们旨在测试当前 NGS 技术在分析代表当前标准治疗的突变方面的诊断准确性,以及在生成人类肿瘤发生中其他关键基因伴随信息方面的可靠性。已经使用当前标准护理方法(Sanger 测序和 q-PCR)对 8 个肺腺癌、3 个结肠癌和 2 个恶性黑色素瘤的临床样本进行了 EGFR、KRAS 和 BRAF 突变的基因分型,使用两种 NGS 平台和其中一种平台分析了同一三种基因中的突变检测,以及另外 43 个基因。使用封闭平台特定专有生物信息学软件和开放第三方应用程序对结果进行了分析。我们的结果表明,现有的 NGS 技术在检测上述临床相关突变方面表现良好,但在其当前设计中,可能无法可靠地对更广泛的基因组进行更广泛的无监督分析。在考虑将其用于诊断之前,我们的研究代表了对这项技术的主要优势和劣势的诊断验证。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd3b/3724913/e92370b1eace/pone.0069604.g001.jpg

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