| Literature DB >> 36123406 |
Joshua T Lange1,2, John C Rose3, Celine Y Chen4, Yuriy Pichugin5,6, Liangqi Xie7,8, Jun Tang1,2, King L Hung3, Kathryn E Yost3, Quanming Shi3, Marcella L Erb9, Utkrisht Rajkumar10, Sihan Wu11, Sabine Taschner-Mandl12, Marie Bernkopf12, Charles Swanton13,14,15, Zhe Liu7, Weini Huang16,17, Howard Y Chang18,19, Vineet Bafna20, Anton G Henssen4,21,22,23, Benjamin Werner24, Paul S Mischel25,26.
Abstract
Oncogene amplification on extrachromosomal DNA (ecDNA) is a common event, driving aggressive tumor growth, drug resistance and shorter survival. Currently, the impact of nonchromosomal oncogene inheritance-random identity by descent-is poorly understood. Also unclear is the impact of ecDNA on somatic variation and selection. Here integrating theoretical models of random segregation, unbiased image analysis, CRISPR-based ecDNA tagging with live-cell imaging and CRISPR-C, we demonstrate that random ecDNA inheritance results in extensive intratumoral ecDNA copy number heterogeneity and rapid adaptation to metabolic stress and targeted treatment. Observed ecDNAs benefit host cell survival or growth and can change within a single cell cycle. ecDNA inheritance can predict, a priori, some of the aggressive features of ecDNA-containing cancers. These properties are facilitated by the ability of ecDNA to rapidly adapt genomes in a way that is not possible through chromosomal oncogene amplification. These results show how the nonchromosomal random inheritance pattern of ecDNA contributes to poor outcomes for patients with cancer.Entities:
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Year: 2022 PMID: 36123406 PMCID: PMC9534767 DOI: 10.1038/s41588-022-01177-x
Source DB: PubMed Journal: Nat Genet ISSN: 1061-4036 Impact factor: 41.307