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癌症中的下一代测序:精准癌症医学的机遇与挑战

Next generation sequencing in cancer: opportunities and challenges for precision cancer medicine.

作者信息

Paolillo Carmela, Londin Eric, Fortina Paolo

机构信息

a Department of Cancer Biology , Sidney Kimmel Medical College , Philadelphia , PA , USA ;

b Computational Medicine Center , Thomas Jefferson University , Philadelphia , PA , USA.

出版信息

Scand J Clin Lab Invest Suppl. 2016;245:S84-91. doi: 10.1080/00365513.2016.1210331. Epub 2016 Aug 17.

Abstract

Over the past decade, testing the genes of patients and their specific cancer types has become standardized practice in medical oncology since somatic mutations, changes in gene expression and epigenetic modifications are all hallmarks of cancer. However, while cancer genetic assessment has been limited to single biomarkers to guide the use of therapies, improvements in nucleic acid sequencing technologies and implementation of different genome analysis tools have enabled clinicians to detect these genomic alterations and identify functional and disease-associated genomic variants. Next-generation sequencing (NGS) technologies have provided clues about therapeutic targets and genomic markers for novel clinical applications when standard therapy has failed. While Sanger sequencing, an accurate and sensitive approach, allows for the identification of potential novel variants, it is however limited by the single amplicon being interrogated. Similarly, quantitative and qualitative profiling of gene expression changes also represents a challenge for the cancer field. Both RT-PCR and microarrays are efficient approaches, but are limited to the genes present on the array or being assayed. This leaves vast swaths of the transcriptome, including non-coding RNAs and other features, unexplored. With the advent of the ability to collect and analyze genomic sequence data in a timely fashion and at an ever-decreasing cost, many of these limitations have been overcome and are being incorporated into cancer research and diagnostics giving patients and clinicians new hope for targeted and personalized treatment. Below we highlight the various applications of next-generation sequencing in precision cancer medicine.

摘要

在过去十年中,检测患者及其特定癌症类型的基因已成为医学肿瘤学中的标准化做法,因为体细胞突变、基因表达变化和表观遗传修饰都是癌症的标志。然而,虽然癌症基因评估一直局限于单一生物标志物以指导治疗的使用,但核酸测序技术的改进和不同基因组分析工具的应用使临床医生能够检测这些基因组改变,并识别功能和疾病相关的基因组变异。当标准治疗失败时,下一代测序(NGS)技术为新型临床应用提供了治疗靶点和基因组标志物的线索。虽然桑格测序是一种准确且灵敏的方法,能够识别潜在的新型变异,但它受到所检测的单个扩增子的限制。同样,基因表达变化的定量和定性分析对癌症领域来说也是一项挑战。逆转录聚合酶链反应(RT-PCR)和微阵列都是有效的方法,但都局限于阵列上存在或正在检测的基因。这使得转录组的大片区域,包括非编码RNA和其他特征,未被探索。随着能够及时且成本不断降低地收集和分析基因组序列数据的能力的出现,许多这些限制已被克服,并被纳入癌症研究和诊断中,为患者和临床医生带来了靶向和个性化治疗的新希望。下面我们重点介绍下一代测序在精准癌症医学中的各种应用。

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