| Literature DB >> 34099491 |
Riaz Gillani1,2,3,4, Bo Kyung A Seong1,2, Jett Crowdis2,5, Jake R Conway2,6, Neekesh V Dharia1,2,3,4, Saif Alimohamed7, Brian J Haas2, Kyuho Han8, Jihye Park2,5, Felix Dietlein2,5, Meng Xiao He2,6, Alma Imamovic2,5, Clement Ma1, Michael C Bassik8,9,10, Jesse S Boehm2, Francisca Vazquez2, Alexander Gusev5,11, David Liu2,5, Katherine A Janeway1,3,4, James M McFarland2, Kimberly Stegmaier1,2,3,4, Eliezer M Van Allen12,5,13.
Abstract
Gene fusions frequently result from rearrangements in cancer genomes. In many instances, gene fusions play an important role in oncogenesis; in other instances, they are thought to be passenger events. Although regulatory element rearrangements and copy number alterations resulting from these structural variants are known to lead to transcriptional dysregulation across cancers, the extent to which these events result in functional dependencies with an impact on cancer cell survival is variable. Here we used CRISPR-Cas9 dependency screens to evaluate the fitness impact of 3,277 fusions across 645 cell lines from the Cancer Dependency Map. We found that 35% of cell lines harbored either a fusion partner dependency or a collateral dependency on a gene within the same topologically associating domain as a fusion partner. Fusion-associated dependencies revealed numerous novel oncogenic drivers and clinically translatable alterations. Broadly, fusions can result in partner and collateral dependencies that have biological and clinical relevance across cancer types. SIGNIFICANCE: This study provides insights into how fusions contribute to fitness in different cancer contexts beyond partner-gene activation events, identifying partner and collateral dependencies that may have direct implications for clinical care. ©2021 The Authors; Published by the American Association for Cancer Research.Entities:
Mesh:
Year: 2021 PMID: 34099491 PMCID: PMC8338889 DOI: 10.1158/0008-5472.CAN-21-0791
Source DB: PubMed Journal: Cancer Res ISSN: 0008-5472 Impact factor: 13.312