The evolutionary dynamics of extrachromosomal DNA in human cancers.
Journal
Nature genetics
ISSN: 1546-1718
Titre abrégé: Nat Genet
Pays: United States
ID NLM: 9216904
Informations de publication
Date de publication:
10 2022
10 2022
Historique:
received:
16
02
2022
accepted:
01
08
2022
pubmed:
20
9
2022
medline:
12
10
2022
entrez:
19
9
2022
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 36123406
doi: 10.1038/s41588-022-01177-x
pii: 10.1038/s41588-022-01177-x
pmc: PMC9534767
doi:
Substances chimiques
DNA
9007-49-2
Types de publication
Journal Article
Research Support, U.S. Gov't, Non-P.H.S.
Research Support, Non-U.S. Gov't
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
1527-1533Subventions
Organisme : NCI NIH HHS
ID : R01 CA238249
Pays : United States
Organisme : Cancer Research UK
ID : C11496/A17786
Pays : United Kingdom
Organisme : NCI NIH HHS
ID : F99 CA274692
Pays : United States
Organisme : NCI NIH HHS
ID : U24 CA264379
Pays : United States
Organisme : Medical Research Council
ID : FC001169
Pays : United Kingdom
Organisme : Cancer Research UK
ID : FC001169
Pays : United Kingdom
Organisme : Cancer Research UK
ID : C416/A21999
Pays : United Kingdom
Organisme : NIGMS NIH HHS
ID : R01 GM114362
Pays : United States
Organisme : NCI NIH HHS
ID : R35 CA209919
Pays : United States
Organisme : Cancer Research UK
ID : C11496/A30025
Pays : United Kingdom
Organisme : Howard Hughes Medical Institute
Pays : United States
Organisme : Department of Health
Pays : United Kingdom
Organisme : NCI NIH HHS
ID : OT2 CA278635
Pays : United States
Organisme : Wellcome Trust
ID : FC001169
Pays : United Kingdom
Informations de copyright
© 2022. The Author(s).
Références
Merlo, L. M. F., Pepper, J. W., Reid, B. J. & Maley, C. C. Cancer as an evolutionary and ecological process. Nat. Rev. Cancer 6, 924–935 (2006).
doi: 10.1038/nrc2013
Greaves, M. & Maley, C. C. Clonal evolution in cancer. Nature 481, 306–313 (2012).
doi: 10.1038/nature10762
McGranahan, N. & Swanton, C. Clonal heterogeneity and tumor evolution: past, present, and the future. Cell 168, 613–628 (2017).
doi: 10.1016/j.cell.2017.01.018
McGranahan, N. & Swanton, C. Biological and therapeutic impact of intratumor heterogeneity in cancer evolution. Cancer Cell 27, 15–26 (2015).
doi: 10.1016/j.ccell.2014.12.001
Abbosh, C. et al. Phylogenetic ctDNA analysis depicts early-stage lung cancer evolution. Nature 545, 446–451 (2017).
doi: 10.1038/nature22364
Barthel, F. P. et al. Longitudinal molecular trajectories of diffuse glioma in adults. Nature 576, 112–120 (2019).
doi: 10.1038/s41586-019-1775-1
Jamal-Hanjani, M. et al. Tracking the evolution of non-small-cell lung cancer. N. Engl. J. Med. 376, 2109–2121 (2017).
doi: 10.1056/NEJMoa1616288
Burrell, R. A., McGranahan, N., Bartek, J. & Swanton, C. The causes and consequences of genetic heterogeneity in cancer evolution. Nature 501, 338–345 (2013).
doi: 10.1038/nature12625
Nathanson, D. A. et al. Targeted therapy resistance mediated by dynamic regulation of extrachromosomal mutant EGFR DNA. Science 343, 72–76 (2014).
doi: 10.1126/science.1241328
Furnari, F. B., Cloughesy, T. F., Cavenee, W. K. & Mischel, P. S. Heterogeneity of epidermal growth factor receptor signalling networks in glioblastoma. Nat. Rev. Cancer 15, 302–310 (2015).
doi: 10.1038/nrc3918
Watkins, T. B. K. et al. Pervasive chromosomal instability and karyotype order in tumour evolution. Nature 587, 126–132 (2020).
doi: 10.1038/s41586-020-2698-6
Kim, C. et al. Chemoresistance evolution in triple-negative breast cancer delineated by single-cell sequencing. Cell 173, 879–893.e13 (2018).
doi: 10.1016/j.cell.2018.03.041
Vasan, N., Baselga, J. & Hyman, D. M. A view on drug resistance in cancer. Nature 575, 299–309 (2019).
doi: 10.1038/s41586-019-1730-1
Kim, H. et al. Extrachromosomal DNA is associated with oncogene amplification and poor outcome across multiple cancers. Nat. Genet. 52, 891–897 (2020).
doi: 10.1038/s41588-020-0678-2
Turner, K. M. et al. Extrachromosomal oncogene amplification drives tumour evolution and genetic heterogeneity. Nature 543, 122–125 (2017).
doi: 10.1038/nature21356
Lundberg, G. et al. Binomial mitotic segregation of MYCN-carrying double minutes in neuroblastoma illustrates the role of randomness in oncogene amplification. PLoS ONE 3, e3099 (2008).
doi: 10.1371/journal.pone.0003099
Shoshani, O. et al. Chromothripsis drives the evolution of gene amplification in cancer. Nature 591, 137–141 (2021).
doi: 10.1038/s41586-020-03064-z
Yi, E. et al. Live-cell imaging shows uneven segregation of extrachromosomal DNA elements and transcriptionally active extrachromosomal DNA hubs in cancer. Cancer Discov. 12, 468–483 (2022).
doi: 10.1158/2159-8290.CD-21-1376
Thompson, S. L. & Compton, D. A. Chromosome missegregation in human cells arises through specific types of kinetochore-microtubule attachment errors. Proc. Natl Acad. Sci. USA 108, 17974–17978 (2011).
doi: 10.1073/pnas.1109720108
Fuller, B. G. et al. Midzone activation of aurora B in anaphase produces an intracellular phosphorylation gradient. Nature 453, 1132–1136 (2008).
doi: 10.1038/nature06923
Tasan, I. et al. CRISPR/Cas9-mediated knock-in of an optimized TetO repeat for live cell imaging of endogenous loci. Nucleic Acids Res. 46, e100 (2018).
doi: 10.1093/nar/gky501
Grimm, J. B. et al. A general method to optimize and functionalize red-shifted rhodamine dyes. Nat. Methods 17, 815–821 (2020).
doi: 10.1038/s41592-020-0909-6
Gerlinger, M. et al. Intratumor heterogeneity and branched evolution revealed by multiregion sequencing. N. Engl. J. Med. 366, 883–892 (2012).
doi: 10.1056/NEJMoa1113205
Qazi, M. A. et al. Intratumoral heterogeneity: pathways to treatment resistance and relapse in human glioblastoma. Ann. Oncol. 28, 1448–1456 (2017).
doi: 10.1093/annonc/mdx169
Gillespie, D. T. General method for numerically simulating stochastic time evolution of coupled chemical-reactions. J. Comput. Phys. 22, 403–434 (1976).
doi: 10.1016/0021-9991(76)90041-3
Møller, H. D. et al. CRISPR-C: circularization of genes and chromosome by CRISPR in human cells. Nucleic Acids Res. 46, e131 (2018).
pubmed: 30551175
pmcid: 6294522
Kaufman, R. J., Brown, P. C. & Schimke, R. T. Amplified dihydrofolate reductase genes in unstably methotrexate-resistant cells are associated with double minute chromosomes. Proc. Natl Acad. Sci. USA 76, 5669–5673 (1979).
doi: 10.1073/pnas.76.11.5669
Wu, S. et al. Circular ecDNA promotes accessible chromatin and high oncogene expression. Nature 575, 699–703 (2019).
doi: 10.1038/s41586-019-1763-5
Paffhausen, T., Schwab, M. & Westermann, F. Targeted MYCN expression affects cytotoxic potential of chemotherapeutic drugs in neuroblastoma cells. Cancer Lett. 250, 17–24 (2007).
doi: 10.1016/j.canlet.2006.09.010
Cen, L. et al. p16-Cdk4-Rb axis controls sensitivity to a cyclin-dependent kinase inhibitor PD0332991 in glioblastoma xenograft cells. Neuro Oncol. 14, 870–881 (2012).
doi: 10.1093/neuonc/nos114
Hung, K. L. et al. ecDNA hubs drive cooperative intermolecular oncogene expression. Nature 600, 731–736 (2021).
doi: 10.1038/s41586-021-04116-8
Ambros, P. F. et al. International consensus for neuroblastoma molecular diagnostics: report from the International Neuroblastoma Risk Group (INRG) Biology Committee. Br. J. Cancer 100, 1471–1482 (2009).
doi: 10.1038/sj.bjc.6605014
Naito, Y., Hino, K., Bono, H. & Ui-Tei, K. CRISPRdirect: software for designing CRISPR/Cas guide RNA with reduced off-target sites. Bioinformatics 31, 1120–1123 (2015).
doi: 10.1093/bioinformatics/btu743
Xie, L. et al. 3D ATAC-PALM: super-resolution imaging of the accessible genome. Nat. Methods 17, 430–436 (2020).
doi: 10.1038/s41592-020-0775-2
Guzmán, C., Bagga, M., Kaur, A., Westermarck, J. & Abankwa, D. ColonyArea: an ImageJ plugin to automatically quantify colony formation in clonogenic assays. PLoS ONE 9, e92444 (2014).
doi: 10.1371/journal.pone.0092444
Jungbluth, A. A. et al. A monoclonal antibody recognizing human cancers with amplification/overexpression of the human epidermal growth factor receptor. Proc. Natl Acad. Sci. USA 100, 639–644 (2003).
doi: 10.1073/pnas.232686499