Evidence map›Paper›PMID 40920091›Full record

ArticleCancer discovery2025

Extrachromosomal DNA-Driven Oncogene Spatial Heterogeneity and Evolution in Glioblastoma.

Imran Noorani, Magnus Haughey, Jens Luebeck, Andrew Rowan, Eva Grönroos, Francesco Terenzi, Ivy Tsz-Lo Wong, Davide Pradella, Marta Lisi, Jeanette Kittel and 25 more

Abstract read
In one paragraph

Article in Cancer discovery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
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  7. Review
  8. Article
  9. Article
  10. Review
  11. Organoid technology in cancer research.Molecular biomedicine · 2026
    Review
  12. Article
  13. Review
  14. Review
  15. Article
  16. lncRNA in EGFR‑driven glioblastoma.Nature cell biology · 2026
    Article
  17. Article
  18. Review
  19. Fast and accurate resolution of ecDNA sequence using Cycle-Extractor.bioRxiv : the preprint server for biology · 2026
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

35 authors.

Imran Noorani *Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, United Kingdom.ORCID 0000-0003-4289-2345
Magnus Haughey *Evolutionary Dynamics Group, Centre for Cancer Evolution, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom.ORCID 0000-0003-3329-6648
Jens LuebeckDepartment of Computer Science and Engineering, University of California, San Diego, La Jolla, California.ORCID 0000-0003-4391-979X
Andrew RowanCancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, United Kingdom.ORCID 0000-0003-1926-9707
Eva GrönroosCancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, United Kingdom.ORCID 0000-0001-8303-5409
Francesco TerenziEvolutionary Dynamics Group, Centre for Cancer Evolution, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom.ORCID 0009-0009-5012-3256
Ivy Tsz-Lo WongSarafan ChEM-H, Stanford University, Stanford, California.ORCID 0000-0002-9761-3422
Davide PradellaCancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-8649-7817
Marta LisiCenter for Stem Cell Biology and Developmental Biology Program, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0009-0004-3386-5163
Jeanette KittelUCL Cancer Institute, London, United Kingdom.ORCID 0000-0002-8964-4640
Natasha SharmaUCL Cancer Institute, London, United Kingdom.ORCID 0009-0002-5583-9834
Chris BaileyCancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, United Kingdom.ORCID 0000-0002-1602-8396
Clare E WeedenCancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, United Kingdom.ORCID 0000-0002-1561-1416
Donald M BellUCL Cancer Institute, London, United Kingdom.ORCID 0000-0002-3788-1580
Eric JooInstitute of Neurology, University College London, London, United Kingdom.ORCID 0009-0005-4625-2697
Vittorio BarbèCancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, United Kingdom.ORCID 0009-0009-9748-2248
Matthew G JonesCenter for Personal Dynamic Regulomes, Stanford University, Stanford, California.ORCID 0000-0002-0363-4493
King L HungDepartment of Neuroscience, Scripps Research, La Jolla, California.ORCID 0000-0002-3662-4662
Emma L NyeExperimental Histopathology, The Francis Crick Institute, London, United Kingdom.ORCID 0000-0001-9154-3526
Mary GreenExperimental Histopathology, The Francis Crick Institute, London, United Kingdom.ORCID 0009-0000-7437-7706
Lucy MeaderExperimental Histopathology, The Francis Crick Institute, London, United Kingdom.ORCID 0009-0002-9172-791X
Emma J NortonDepartment of Cellular Pathology, University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom.ORCID 0000-0003-1877-2474
Mark FabianDepartment of Cellular Pathology, University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom.ORCID 0000-0003-2498-9995
Nnennaya KanuCancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, United Kingdom.ORCID 0000-0001-7232-1952
Mariam Jamal-HanjaniCancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, United Kingdom.ORCID 0000-0003-1212-1259
Thomas SantariusDepartment of Neurosurgery, Cambridge University Hospital, Cambridge, United Kingdom.ORCID 0000-0002-1416-9566
Andrea VenturaCancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0003-4320-9907
James A R NicollDepartment of Cellular Pathology, University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom.ORCID 0000-0002-9444-7246
Delphine BocheClinical Neurosciences, Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, United Kingdom.ORCID 0000-0002-5884-130X
Howard Y ChangCenter for Personal Dynamic Regulomes, Stanford University, Stanford, California.ORCID 0000-0002-9459-4393
Vineet BafnaDepartment of Computer Science and Engineering, University of California, San Diego, La Jolla, California.ORCID 0000-0002-5810-6241
Weini HuangDepartment of Mathematics, Queen Mary University of London, London, United Kingdom.ORCID 0000-0002-9016-2665
Paul S MischelSarafan ChEM-H, Stanford University, Stanford, California.ORCID 0000-0002-4560-2211
Charles SwantonCancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, United Kingdom.ORCID 0000-0002-4299-3018
Benjamin WernerEvolutionary Dynamics Group, Centre for Cancer Evolution, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom.ORCID 0000-0002-6857-8699

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
eDyNAmiC - STANFORDOT2CA278688 · NCI · STANFORD UNIVERSITY · PI PAUL S MISCHEL · 2022 to 2026
$7.7M
Software and algorithms for elucidating the structure, function, and evolution of extrachromosomal DNAU24CA264379 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BAFNA, VINEET, MESIROV, JILL P. · 2021 to 2025
$3.5M
Computational methods for detecting patterns of complex genomic variationR01GM114362 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Vineet Bafna · 2016 to 2026
$3.1M
Investigating the roles of oncogenic extrachromosomal circular DNAs in cancerR01CA282913 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI Andrea Ventura · 2023 to 2026
$2.2M
eDyNAmiC - UCSDOT2CA278635 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Vineet Bafna · 2022 to 2026
$1.8M
eDyNAmiC (extrachromosomal DNA in Cancer) - Understanding the biology of ecDNA generation and action, and developing new ways to target these mechanisms in cancerOT2CA301085 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI Andrea Ventura · 2024 to 2026
$748k
Quantitative modeling of extrachromosomal DNA (ecDNA) evolution in tumorsK99CA286968 · NCI · STANFORD UNIVERSITY · PI JONES, MATTHEW GREGORY · 2024 to 2025
$335k
Amplifications and signaling of oncoproteins in cancerK00CA274692 · NCI · SCRIPPS RESEARCH INSTITUTE, THE · PI HUNG, KING L. · 2025 to 2025
$96k
Barts Charity MGU045Cancer Research UK (CRUK) C11496/A17786Cancer Research UK (CRUK) C11496/A30025Cancer Research UK (CRUK) C416/A21999Cancer Research UK (CRUK) CGCATF-2021/100012Cancer Research UK (CRUK) CGCATF-2021/100025HORIZON EUROPE European Research Council (ERC) 835297Mark Foundation For Cancer Research (The Mark Foundation for Cancer Research) 21-029-ASPNational Cancer Institute (NCI) NIH K00CA274692National Cancer Institute (NCI) NIH K99CA286968National Cancer Institute (NCI) OT2CA278635National Cancer Institute (NCI) OT2CA278688National Cancer Institute (NCI) R01-GM114362National Cancer Institute (NCI) U24-CA264379NCI NIH HHS K00 CA274692NCI NIH HHS K99 CA286968NCI NIH HHS OT2 CA278635NCI NIH HHS OT2 CA278688NCI NIH HHS OT2 CA301085NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA282913NCI NIH HHS U24 CA264379NIGMS NIH HHS R01 GM114362Novo Nordisk Foundation Center for Basic Metabolic Research (NovoNordisk Foundation Center for Basic Metabolic Research) ID16584Royal Society (The Royal Society) RP/EA/180007UK Research and Innovation (UKRI) MR/V02342X/1Wellcome Trust FC001169
6 · The paper itself

Abstract

Oncogenes amplified on extrachromosomal DNA (ecDNA) contribute to treatment resistance and poor survival across cancers. Currently, the spatiotemporal evolution of ecDNA remains poorly understood. In this study, we integrate computational modeling with samples from 94 treatment-naive human glioblastomas (GBM) to investigate the spatiotemporal evolution of ecDNA. We observe oncogene-specific patterns of ecDNA spatial heterogeneity, emerging from random ecDNA segregation and differing fitness advantages. Unlike PDGFRA-ecDNAs, EGFR-ecDNAs often accumulate prior to clonal expansions, conferring strong fitness advantages and reaching high abundances. In corroboration, we observe pretumor ecDNA accumulation in vivo in genetically engineered mouse neural stem cells. Variant and wild-type EGFR-ecDNAs often coexist in GBM. Those variant EGFR-ecDNAs, most commonly EGFRvIII-ecDNA, always derive from preexisting wild-type EGFR-ecDNAs, occur early, and reach high abundance. Our results suggest that the ecDNA oncogenic makeup determines unique evolutionary trajectories. New concepts such as ecDNA clonality and heteroplasmy require a refined evolutionary interpretation of genomic data in a large subset of GBMs. SIGNIFICANCE: We study spatial patterns of ecDNA-amplified oncogenes and their evolutionary properties in human GBM, revealing an ecDNA landscape and ecDNA oncogene-specific evolutionary histories. ecDNA accumulation can precede clonal expansion, facilitating the emergence of EGFR oncogenic variants, reframing our interpretation of genomic data in a large subset of GBMs. See related commentary by Korsah et al., p. 1979.

Indexed as

Central Nervous System NeoplasmsClonal EvolutionDNA, NeoplasmGlioblastomaOncogenesAnimalsErbB ReceptorsEvolution, MolecularGenetic HeterogeneityHumansMiceDNA, NeoplasmEGFR protein, humanErbB Receptors

Identifiers

PMID40920091
PMCPMC12498097

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.