Evidence map›Paper›PMID 40640072›Full record

ReviewTrends in cancer2025

Extrachromosomal DNA: shaping the evolutionary dynamics of cancer.

Magnus Haughey, Imran Noorani, Charles Swanton, Paul S Mischel, Benjamin Werner

Abstract readReview
In one paragraph

Review in Trends in cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Magnus HaugheyEvolutionary Dynamics Group, Centre for Cancer Evolution, Barts Cancer Centre, Queen Mary University of London, London, UK.
Imran NooraniCancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK; Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, UK.
Charles SwantonCancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK; Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK; Department of Oncology, University College London Hospitals, London, UK. Electronic address: charles.swanton@crick.ac.uk.
Paul S MischelSarafan Chemistry, Engineering, and Medicine for Human Health (Sarafan ChEM-H), Stanford University, Stanford, CA, USA; Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA. Electronic address: pmischel@stanford.edu.
Benjamin WernerEvolutionary Dynamics Group, Centre for Cancer Evolution, Barts Cancer Centre, Queen Mary University of London, London, UK. Electronic address: b.werner@qmul.ac.uk.

Funding

eDyNAmiC - STANFORDOT2CA278688 · NCI · STANFORD UNIVERSITY · PI PAUL S MISCHEL · 2022 to 2026
$7.7M
NCI NIH HHS OT2 CA278688Wellcome Trust FC001169
6 · The paper itself

Abstract

Cancers are complex, diverse, and elusive, with extrachromosomal DNA (ecDNA) recently emerging as a crucial player in driving the evolution of about 20% of all tumors. In this review we discuss open questions concerning the evolutionary role of ecDNA in tumor development, including tumorigenesis and metastatic seeding, the mutational landscape on ecDNA, the dynamic ecDNA genotype-phenotype map, the structural evolution of ecDNA, and how knowledge of tissue-specific ecDNA evolutionary paths can be leveraged to deliver more effective clinical treatment. Looking forward, evolutionary theoretical modeling will be instrumental in advancing new research in the field, and we explore how modeling has contributed to our understanding of the evolutionary principles governing ecDNA dynamics. Ultimately, these challenges must be tackled to improve clinical stratification and create tumor- and patient-specific ecDNA-based therapies.

Indexed as

CarcinogenesisEvolution, MolecularNeoplasmsAnimalsHumansMutationevolutionextrachromosomal DNAgenomic instabilitymetastasestreatment resistancetumorigenesis

Identifiers

PMID40640072
PMCPMC12313332

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

None linked

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.