Copy number losses of oncogenes and gains of tumor suppressor genes generate common driver mutations.

Autor: Besedina E; Institute for Research in Biomedicine (IRB Barcelona), 08028, Barcelona, Spain., Supek F; Institute for Research in Biomedicine (IRB Barcelona), 08028, Barcelona, Spain. fran.supek@bric.ku.dk.; Biotech Research and Innovation Centre (BRIC), University of Copenhagen, 2200, Copenhagen, Denmark. fran.supek@bric.ku.dk.; Catalan Institution for Research and Advanced Studies (ICREA), 08010, Barcelona, Spain. fran.supek@bric.ku.dk.
Jazyk: angličtina
Zdroj: Nature communications [Nat Commun] 2024 Jul 20; Vol. 15 (1), pp. 6139. Date of Electronic Publication: 2024 Jul 20.
DOI: 10.1038/s41467-024-50552-1
Abstrakt: Cancer driver genes can undergo positive selection for various types of genetic alterations, including gain-of-function or loss-of-function mutations and copy number alterations (CNA). We investigated the landscape of different types of alterations affecting driver genes in 17,644 cancer exomes and genomes. We find that oncogenes may simultaneously exhibit signatures of positive selection and also negative selection in different gene segments, suggesting a method to identify additional tumor types where an oncogene is a driver or a vulnerability. Next, we characterize the landscape of CNA-dependent selection effects, revealing a general trend of increased positive selection on oncogene mutations not only upon CNA gains but also upon CNA deletions. Similarly, we observe a positive interaction between mutations and CNA gains in tumor suppressor genes. Thus, two-hit events involving point mutations and CNA are universally observed regardless of the type of CNA and may signal new therapeutic opportunities. An analysis with focus on the somatic CNA two-hit events can help identify additional driver genes relevant to a tumor type. By a global inference of point mutation and CNA selection signatures and interactions thereof across genes and tissues, we identify 9 evolutionary archetypes of driver genes, representing different mechanisms of (in)activation by genetic alterations.
(© 2024. The Author(s).)
Databáze: MEDLINE
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