Cancer Research UK Cambridge Institute, University of Cambridge, UK.
Department of Pathology, VU University Medical Center, PO Box 7057, 1007 MB Amsterdam, The Netherlands.
Trends Genet. 2016 Sep;32(9):530-542. doi: 10.1016/j.tig.2016.07.002. Epub 2016 Jul 29.
The identification of mutations that guide therapy selection for patients with cancer is now routine in many clinical centres. The majority of assays used for solid tumour profiling use DNA sequencing to interrogate somatic point mutations because they are relatively easy to identify and interpret. Many cancers, however, including high-grade serous ovarian, oesophageal, and small-cell lung cancer, are driven by somatic structural variants that are not measured by these assays. Therefore, there is currently an unmet need for clinical assays that can cheaply and rapidly profile structural variants in solid tumours. In this review we survey the landscape of 'actionable' structural variants in cancer and identify promising detection strategies based on massively-parallel sequencing.
在许多临床中心,鉴定指导癌症患者治疗选择的突变现在已经成为常规。大多数用于实体肿瘤分析的检测方法都使用 DNA 测序来检测体细胞点突变,因为它们相对容易识别和解释。然而,许多癌症,包括高级别浆液性卵巢癌、食道癌和小细胞肺癌,都是由这些检测方法无法测量的体细胞结构变体驱动的。因此,目前临床上需要能够廉价和快速分析实体瘤结构变体的检测方法。在这篇综述中,我们调查了癌症中“可操作”的结构变体,并基于大规模平行测序确定了有前途的检测策略。