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迈向黑色素瘤个体化医学:临床下一代测序 panel 的实施。

Towards Personalized Medicine in Melanoma: Implementation of a Clinical Next-Generation Sequencing Panel.

机构信息

Department of Dermatology, Hospital Universitari i Politecnic La Fe, Valencia, Spain.

Molecular Biology Laboratory, Service of Clinical Analysis, Hospital Universitari i Politecnic La Fe, Valencia, Spain.

出版信息

Sci Rep. 2017 Mar 29;7(1):495. doi: 10.1038/s41598-017-00606-w.

DOI:10.1038/s41598-017-00606-w
PMID:28356599
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5428782/
Abstract

Molecular diagnostics are increasingly performed routinely in the diagnosis and management of patients with melanoma due to the development of novel therapies that target specific genetic mutations. The development of next-generation sequencing (NGS) technologies has enabled to sequence multiple cancer-driving genes in a single assay, with improved sensitivity in mutation detection. The main objective of this study was the design and implementation of a melanoma-specific sequencing panel, and the identification of the spectrum of somatic mutations in a series of primary melanoma samples. A custom panel was designed to cover the coding regions of 35 melanoma-related genes. Panel average coverage was 2,575.5 reads per amplicon, with 92,8% of targeted bases covered ≥500×. Deep coverage enabled sensitive discovery of mutations in as low as 0.5% mutant allele frequency. Eighty-five percent (85/100) of the melanomas had at least one somatic mutation. The most prevalent mutated genes were BRAF (50%;50/199), NRAS (15%;15/100), PREX2 (14%;14/100), GRIN2A (13%;13/100), and ERBB4 (12%;12/100). Turn-around-time and costs for NGS-based analysis was reduced in comparison to conventional molecular approaches. The results of this study demonstrate the cost-effectiveness and feasibility of a custom-designed targeted NGS panel, and suggest the implementation of targeted NGS into daily routine practice.

摘要

由于针对特定基因突变的新型疗法的发展,分子诊断在黑色素瘤患者的诊断和管理中越来越常规化。下一代测序(NGS)技术的发展使得能够在单个测定中对多个致癌基因进行测序,从而提高了突变检测的灵敏度。本研究的主要目的是设计和实施黑色素瘤特异性测序面板,并确定一系列原发性黑色素瘤样本中的体细胞突变谱。设计了一个定制面板来覆盖 35 个与黑色素瘤相关的基因的编码区域。面板平均覆盖每个扩增子的 2575.5 个读数,靶向碱基的 92.8%覆盖率≥500×。深度覆盖可实现低至 0.5%突变等位基因频率的突变的敏感发现。85%(85/100)的黑色素瘤至少有一个体细胞突变。最常见的突变基因是 BRAF(50%;50/199)、NRAS(15%;15/100)、PREX2(14%;14/100)、GRIN2A(13%;13/100)和 ERBB4(12%;12/100)。与传统的分子方法相比,基于 NGS 的分析的周转时间和成本降低了。这项研究的结果证明了定制设计的靶向 NGS 面板的成本效益和可行性,并建议将靶向 NGS 纳入日常常规实践。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c88/5428782/1942015311d6/41598_2017_606_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c88/5428782/85fe7a11aa8e/41598_2017_606_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c88/5428782/eef319268f5c/41598_2017_606_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c88/5428782/1942015311d6/41598_2017_606_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c88/5428782/85fe7a11aa8e/41598_2017_606_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c88/5428782/eef319268f5c/41598_2017_606_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c88/5428782/1942015311d6/41598_2017_606_Fig3_HTML.jpg

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