A sequence context-based approach for classifying tumor structural variants without paired normal samples.

Cell reports methods
Authors
Keywords
Abstract

Although several recent studies have characterized structural variants (SVs) in germline and cancer genomes independently, the genomic contexts of these SVs have not been comprehensively 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. 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, our results show that features linked to transposon-mediated processes are associated with germline SVs, while somatic SVs more frequently show features characteristic of chromoanagenesis. These genomic differences enabled us to develop a classifier-the Germline and Tumor Structural Variant or "the great GaTSV" -that accurately distinguishes between germline and cancer SVs in tumor samples that lack a matched normal sample.

Year of Publication
2025
Journal
Cell reports methods
Pages
100991
Date Published
03/2025
ISSN
2667-2375
DOI
10.1016/j.crmeth.2025.100991
PubMed ID
40081367
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