Extrachromosomal DNA driven oncogene spatial heterogeneity and evolution in glioblastoma
Extrachromosomal DNA driven oncogene spatial heterogeneity and evolution in glioblastoma
Extrachromosomal DNA (ecDNA) oncogene amplification is associated with treatment resistance and shorter survival in cancer. Currently, the spatial dynamics of ecDNA, and their evolutionary impact, are poorly understood. Here, we investigate the spatiotemporal evolution of ecDNA by integrating computational modeling with samples from 94 treatment-naive human IDH wild-type glioblastoma patients. Random ecDNA segregation combined with ecDNA-conferred fitness advantages induce distinct spatial ecDNA copy number patterns which depend on ecDNA oncogenic makeup. EGFR-ecDNAs often reach high copy numbers and confer strong fitness advantages. In contrast, PDGFRA-ecDNAs reach lower copy numbers and confer
weaker fitness advantages. EGFR structural variants occur exclusively on ecDNA, arise from and are intermixed with wild-type EGFR-ecDNAs. Computational modeling suggests wild-type and variant EGFR-ecDNAs often accumulate before clonal expansion. Using a genetically engineered mouse model, we confirm that the accumulation of oncogenic ecDNA prior to clonal expansion under strong positive selection is observable both in vivo and in vitro in mouse neural stem cells. Intermixed wild-type and variant ecDNAs remain prevalent at diagnosis, as less fit wild-type ecDNAs hitchhike on strongly selected variant EGFR-ecDNAs. A dN/dS analysis in the Genomics England cohort further suggests positive selection of variants on EGFR-ecDNAs but not PDGFRA-ecDNAs in glioblastoma. Overall, our results suggest ecDNA oncogenic makeup determines unique evolutionary trajectories in glioblastoma. New concepts like ecDNA tumor clonality, ecDNA heteroplasmy and multi-species ecDNAs require a refined evolutionary interpretation of genomic data in a large subset of glioblastoma patients and likely other solid cancers.
Noorani, Imran
d73f97c0-2dc7-4d7e-be31-e2d2f0b3131d
Haughey, Magnus
d3e5fd0c-1e42-477c-adad-9333b52a3adc
Nicoll, James
88c0685f-000e-4eb7-8f72-f36b4985e8ed
Norton, Emma
76746af3-fcfc-40cb-aa84-c8da09c830db
Boche, Delphine
bdcca10e-6302-4dd0-919f-67218f7e0d61
Noorani, Imran
d73f97c0-2dc7-4d7e-be31-e2d2f0b3131d
Haughey, Magnus
d3e5fd0c-1e42-477c-adad-9333b52a3adc
Nicoll, James
88c0685f-000e-4eb7-8f72-f36b4985e8ed
Norton, Emma
76746af3-fcfc-40cb-aa84-c8da09c830db
Boche, Delphine
bdcca10e-6302-4dd0-919f-67218f7e0d61
Noorani, Imran, Haughey, Magnus and Nicoll, James
,
et al.
(2025)
Extrachromosomal DNA driven oncogene spatial heterogeneity and evolution in glioblastoma.
Cancer Discovery, [CD-24-1555R-A].
(In Press)
Abstract
Extrachromosomal DNA (ecDNA) oncogene amplification is associated with treatment resistance and shorter survival in cancer. Currently, the spatial dynamics of ecDNA, and their evolutionary impact, are poorly understood. Here, we investigate the spatiotemporal evolution of ecDNA by integrating computational modeling with samples from 94 treatment-naive human IDH wild-type glioblastoma patients. Random ecDNA segregation combined with ecDNA-conferred fitness advantages induce distinct spatial ecDNA copy number patterns which depend on ecDNA oncogenic makeup. EGFR-ecDNAs often reach high copy numbers and confer strong fitness advantages. In contrast, PDGFRA-ecDNAs reach lower copy numbers and confer
weaker fitness advantages. EGFR structural variants occur exclusively on ecDNA, arise from and are intermixed with wild-type EGFR-ecDNAs. Computational modeling suggests wild-type and variant EGFR-ecDNAs often accumulate before clonal expansion. Using a genetically engineered mouse model, we confirm that the accumulation of oncogenic ecDNA prior to clonal expansion under strong positive selection is observable both in vivo and in vitro in mouse neural stem cells. Intermixed wild-type and variant ecDNAs remain prevalent at diagnosis, as less fit wild-type ecDNAs hitchhike on strongly selected variant EGFR-ecDNAs. A dN/dS analysis in the Genomics England cohort further suggests positive selection of variants on EGFR-ecDNAs but not PDGFRA-ecDNAs in glioblastoma. Overall, our results suggest ecDNA oncogenic makeup determines unique evolutionary trajectories in glioblastoma. New concepts like ecDNA tumor clonality, ecDNA heteroplasmy and multi-species ecDNAs require a refined evolutionary interpretation of genomic data in a large subset of glioblastoma patients and likely other solid cancers.
Text
(Main text) The spatial heterogeneity and evolution of extrachromosomal DNA oncogenes in human GBM
- Accepted Manuscript
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Accepted/In Press date: 18 June 2025
Identifiers
Local EPrints ID: 503389
URI: http://eprints.soton.ac.uk/id/eprint/503389
ISSN: 2159-8274
PURE UUID: 34c6d864-16eb-46da-b125-d1a57e94af8c
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Date deposited: 30 Jul 2025 16:46
Last modified: 30 Aug 2025 04:01
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Author:
Imran Noorani
Author:
Magnus Haughey
Author:
Emma Norton
Corporate Author: et al.
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