Department of Medical Oncology, BC Cancer, Vancouver, Canada.
Canada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, Canada.
Clin Cancer Res. 2021 Jan 15;27(2):522-531. doi: 10.1158/1078-0432.CCR-20-1900. Epub 2020 Nov 4.
Gene fusions are important oncogenic drivers and many are actionable. Whole-genome and transcriptome (WGS and RNA-seq, respectively) sequencing can discover novel clinically relevant fusions.
Using WGS and RNA-seq, we reviewed the prevalence of fusions in a cohort of 570 patients with cancer, and compared prevalence to that predicted with commercially available panels. Fusions were annotated using a consensus variant calling pipeline (MAVIS) and required that a contig of the breakpoint could be constructed and supported from ≥2 structural variant detection approaches.
In 570 patients with advanced cancer, MAVIS identified 81 recurrent fusions by WGS and 111 by RNA-seq, of which 18 fusions by WGS and 19 by RNA-seq were noted in at least 3 separate patients. The most common fusions were in thoracic malignancies (9/69, 13%), and in colorectal cancer (4/73, 5.5%). Combined genomic and transcriptomic analysis identified novel fusion partners for clinically relevant genes, such as (novel partners: , and (novel partners: ).
Utilizing WGS/RNA-seq facilitates identification of novel fusions in clinically relevant genes, and detected a greater proportion than commercially available panels are expected to find. A significant benefit of WGS and RNA-seq is the innate ability to retrospectively identify variants that becomes clinically relevant over time, without the need for additional testing, which is not possible with panel-based approaches.
基因融合是重要的致癌驱动因素,其中许多是可治疗的。全基因组和转录组(分别为 WGS 和 RNA-seq)测序可发现新的具有临床相关性的融合。
我们使用 WGS 和 RNA-seq 来评估 570 例癌症患者队列中融合的发生率,并将其与商业上可用的面板预测的发生率进行比较。融合使用共识变异调用管道(MAVIS)进行注释,并且需要能够从至少两种结构变异检测方法构建和支持断点的连续体。
在 570 例晚期癌症患者中,MAVIS 通过 WGS 鉴定了 81 个复发性融合,通过 RNA-seq 鉴定了 111 个融合,其中 WGS 和 RNA-seq 分别在至少 3 个不同患者中发现了 18 个和 19 个融合。最常见的融合是在胸恶性肿瘤(9/69,13%)和结直肠癌(4/73,5.5%)中。综合基因组和转录组分析确定了具有临床相关性的基因的新融合伙伴,例如 (新伙伴: 、和 (新伙伴: )。
利用 WGS/RNA-seq 有助于鉴定具有临床相关性的基因中的新融合,并且发现的比例高于商业上可用的面板预期发现的比例。WGS 和 RNA-seq 的一个显著优势是能够内在地回顾性地识别随着时间推移变得具有临床相关性的变体,而不需要额外的测试,这是基于面板的方法不可能实现的。