The University of Southampton
University of Southampton Institutional Repository

Extrachromosomal DNA driven oncogene spatial heterogeneity and evolution in glioblastoma

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.
2159-8274
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
et al.
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)

Record type: Article

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
Available under License Creative Commons Attribution.
Download (597kB)

More information

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
ORCID for James Nicoll: ORCID iD orcid.org/0000-0002-9444-7246
ORCID for Emma Norton: ORCID iD orcid.org/0000-0003-1877-2474
ORCID for Delphine Boche: ORCID iD orcid.org/0000-0002-5884-130X

Catalogue record

Date deposited: 30 Jul 2025 16:46
Last modified: 30 Aug 2025 04:01

Export record

Contributors

Author: Imran Noorani
Author: Magnus Haughey
Author: James Nicoll ORCID iD
Author: Emma Norton ORCID iD
Author: Delphine Boche ORCID iD
Corporate Author: et al.

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×