Chukwu Wolu, Lee Siyun, Crane Alexander, Zhang Shu, Webster Sophie, Mittra Ipsa, Imielinski Marcin, Beroukhim Rameen, Dubois Frank, Dalin Simona
Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Departments of Cancer Biology and Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
bioRxiv. 2024 Jun 18:2023.10.09.561462. doi: 10.1101/2023.10.09.561462.
Although several recent studies have characterized structural variants (SVs) in germline and cancer genomes, the features of SVs in these different contexts have not been directly compared. We examined similarities and differences between 2 million germline and 115 thousand tumor SVs from a cohort of 963 patients from The Cancer Genome Atlas (TCGA). We found significant differences in features related to their genomic sequences and localization that suggest differences between SV-generating processes and selective pressures. For example, we found that transposon-mediated processes shape germline much more than somatic SVs, while somatic SVs more frequently show features characteristic of chromoanagenesis. These differences were extensive enough to enable us to develop a classifier - "the great GaTSV" - that accurately distinguishes between germline and cancer SVs in tumor samples that lack a matched normal sample.
尽管最近的几项研究已经对种系和癌症基因组中的结构变异(SVs)进行了特征描述,但这些不同背景下SVs的特征尚未得到直接比较。我们研究了来自癌症基因组图谱(TCGA)的963名患者队列中的200万个种系SV和11.5万个肿瘤SV之间的异同。我们发现,与它们的基因组序列和定位相关的特征存在显著差异,这表明SV产生过程和选择压力之间存在差异。例如,我们发现转座子介导的过程对种系SV的塑造作用比对体细胞SV的塑造作用大得多,而体细胞SV更频繁地表现出染色体混乱的特征。这些差异足够大,使我们能够开发一种分类器——“伟大的GaTSV”——它能够在缺乏匹配正常样本的肿瘤样本中准确区分种系SV和癌症SV。