Cancer aneuploidies are shaped primarily by effects on tumour fitness

Aneuploidies—whole-chromosome or whole-arm imbalances—are the most prevalent alteration in cancer genomes 1 , 2 . However, it is still debated whether their prevalence is due to selection or ease of generation as passenger events 1 , 2 . Here we developed a method, BISCUT, that identifies loci subje...

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Published inNature (London) Vol. 619; no. 7971; pp. 793 - 800
Main Authors Shih, Juliann, Sarmashghi, Shahab, Zhakula-Kostadinova, Nadja, Zhang, Shu, Georgis, Yohanna, Hoyt, Stephanie H., Cuoco, Michael S., Gao, Galen F., Spurr, Liam F., Berger, Ashton C., Ha, Gavin, Rendo, Veronica, Shen, Hui, Meyerson, Matthew, Cherniack, Andrew D., Taylor, Alison M., Beroukhim, Rameen
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 27.07.2023
Nature Publishing Group
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Summary:Aneuploidies—whole-chromosome or whole-arm imbalances—are the most prevalent alteration in cancer genomes 1 , 2 . However, it is still debated whether their prevalence is due to selection or ease of generation as passenger events 1 , 2 . Here we developed a method, BISCUT, that identifies loci subject to fitness advantages or disadvantages by interrogating length distributions of telomere- or centromere-bounded copy-number events. These loci were significantly enriched for known cancer driver genes, including genes not detected through analysis of focal copy-number events, and were often lineage specific. BISCUT identified the helicase-encoding gene WRN as a haploinsufficient tumour-suppressor gene on chromosome 8p, which is supported by several lines of evidence. We also formally quantified the role of selection and mechanical biases in driving aneuploidy, finding that rates of arm-level copy-number alterations are most highly correlated with their effects on cellular fitness 1 , 2 . These results provide insight into the driving forces behind aneuploidy and its contribution to tumorigenesis. A study reports the development of an algorithm, BISCUT, that detects genomic loci under selective pressure by relying on the distribution of breakpoints across chromosome arms, and uses it to explore how aneuploidies affect tumorigenesis.
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AUTHOR CONTRIBUTIONS
These authors contributed equally to this work.
J.S., A.D.C., A.M.T., and R.B. conceived of this study. J.S., G.F.G., L.F.S., A.C.B., A.D.C., and R.B. developed analytic methods. J.S. and S.S. implemented analytic methods. J.S., S.S., S.Z., S.H.H., N.Z.K., Y.G., H.S., and A.M.T. performed computational analyses. N.Z.K., Y.G., M.S.C., and A.M.T. developed and performed in vitro experiments. G.H., V.R., and M.M. provided feedback and advice on analyses. A.D.C., A.M.T., and R.B. supervised the work. J.S., N.Z.K, S.S., S.Z., A.M.T., and R.B. wrote the manuscript with input from all coauthors.
ISSN:0028-0836
1476-4687
1476-4687
DOI:10.1038/s41586-023-06266-3