Tumor break load quantitates structural variant-associated genomic instability with biological and clinical relevance across cancers

While structural variants (SVs) are a clear sign of genomic instability, they have not been systematically quantified per patient since declining costs have only recently enabled large-scale profiling. Therefore, the biological and clinical impact of high numbers of SVs in patients is unknown. We introduce tumor break load (TBL), defined as the sum of unbalanced SVs, as a measure for SV-associated genomic instability. Using pan-cancer data from TCGA, PCAWG, and CCLE, we show that a high TBL is associated with significant changes in gene expression in 26/31 cancer types that consistently involve upregulation of DNA damage repair and downregulation of immune response pathways. Patients with a high TBL show a higher risk of recurrence and shorter median survival times for 5/15 cancer types. Our data demonstrate that TBL is a biologically and clinically relevant feature of genomic instability that may aid patient prognostication and treatment stratification. For the datasets analyzed in this study, TBL has been made available in cBioPortal.

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Publication Details

Journal
npj Precision Oncology
Published
2025-05-14
DOI
https://doi.org/10.1038/s41698-025-00922-9
Citations
3
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
2.81

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article

Tumor break load quantitates structural variant-associated genomic instability with biological and clinical relevance across cancers

Ritika Kundra, Jianjiong Gao, Sanne Abeln, Nikolaus Schultz et al.
3 citations
npj Precision Oncology
Cancer Genomics and Diagnostics
2.81
article

Tumor break load quantitates structural variant-associated genomic instability with biological and clinical relevance across cancers

Ritika Kundra, Jianjiong Gao, Sanne Abeln, Nikolaus Schultz, Ramyasree Madupuri, Remond J.A. Fijneman, Soufyan Lakbir, Renske de Wit, Gerrit A. Meijer, Ino de Bruijn, Jaap Heringa
article en
3 citations

Abstract

While structural variants (SVs) are a clear sign of genomic instability, they have not been systematically quantified per patient since declining costs have only recently enabled large-scale profiling. Therefore, the biological and clinical impact of high numbers of SVs in patients is unknown. We introduce tumor break load (TBL), defined as the sum of unbalanced SVs, as a measure for SV-associated genomic instability. Using pan-cancer data from TCGA, PCAWG, and CCLE, we show that a high TBL is associated with significant changes in gene expression in 26/31 cancer types that consistently involve upregulation of DNA damage repair and downregulation of immune response pathways. Patients with a high TBL show a higher risk of recurrence and shorter median survival times for 5/15 cancer types. Our data demonstrate that TBL is a biologically and clinically relevant feature of genomic instability that may aid patient prognostication and treatment stratification. For the datasets analyzed in this study, TBL has been made available in cBioPortal.

npj Precision OncologyVol. 9(1)
Memorial Sloan Kettering Cancer Center (US), University of Applied Sciences Utrecht (NL), Utrecht University (NL), Oncode Institute (NL), Vrije Universiteit Amsterdam (NL)
Health~Holland
Good health and well-being
Openalex Percentile: Top 10%
Cancer Genomics and Diagnostics
2.81
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