Evidence map›Paper›PMID 36131011›Full record

ReviewNature reviews. Clinical oncology2022

Leveraging extrachromosomal DNA to fine-tune trials of targeted therapy for glioblastoma: opportunities and challenges.

Imran Noorani, Paul S Mischel, Charles Swanton

Abstract readReview
In one paragraph

Review in Nature reviews. Clinical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

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  20. [European journal of nuclear medicine and molecular imaging · 2024
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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

3 authors.

Imran NooraniCancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK. Imran.noorani@crick.ac.uk.ORCID 0000-0003-4289-2345
Paul S MischelDepartment of Pathology, Stanford University School of Medicine and Sarafan ChEM-H, Stanford University, Stanford, CA, USA. pmischel@stanford.edu.ORCID 0000-0002-4560-2211
Charles SwantonCancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK. Charles.Swanton@crick.ac.uk.ORCID 0000-0002-4299-3018

Funding

eDyNAmiC - STANFORDOT2CA278688 · NCI · STANFORD UNIVERSITY · PI PAUL S MISCHEL · 2022 to 2026
$7.7M
Cancer Research UK CGCATF-2021/100012Cancer Research UK FC001169Department of HealthMedical Research Council FC001169NCI NIH HHS OT2 CA278688Wellcome Trust FC001169
6 · The paper itself

Abstract

Glioblastoma evolution is facilitated by intratumour heterogeneity, which poses a major hurdle to effective treatment. Evidence indicates a key role for oncogene amplification on extrachromosomal DNA (ecDNA) in accelerating tumour evolution and thus resistance to treatment, particularly in glioblastomas. Oncogenes contained within ecDNA can reach high copy numbers and expression levels, and their unequal segregation can result in more rapid copy number changes in response to therapy than is possible through natural selection of intrachromosomal genomic loci. Notably, targeted therapies inhibiting oncogenic pathways have failed to improve glioblastoma outcomes. In this Perspective, we outline reasons for this disappointing lack of clinical translation and present the emerging evidence implicating ecDNA as an important driver of tumour evolution. Furthermore, we suggest that through detection of ecDNA, patient selection for clinical trials of novel agents can be optimized to include those most likely to benefit based on current understanding of resistance mechanisms. We discuss the challenges to successful translation of this approach, including accurate detection of ecDNA in tumour tissue with novel technologies, development of faithful preclinical models for predicting the efficacy of novel agents in the presence of ecDNA oncogenes, and understanding the mechanisms of ecDNA formation during cancer evolution and how they could be attenuated therapeutically. Finally, we evaluate the feasibility of routine ecDNA characterization in the clinic and how this process could be integrated with other methods of molecular stratification to maximize the potential for clinical translation of precision medicines.

Indexed as

GlioblastomaNeoplasmsDNAGenomicsHumansOncogenesDNA

Identifiers

PMID36131011
PMCPMC13271662

What OpenQuestion holds

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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.