Evidence map›Paper›PMID 42210429›Full record

ArticleGenome medicine2026

Preservation and clonal behavior of extrachromosomal DNA in patient-derived xenograft models of childhood cancers.

Rishaan Kenkre, Owen S Chapman, Eugene Yui-Ching Chow, Jens Luebeck, Yan Yuen Lo, Megan Paul, Wenshu Zhang, Jill Mesirov, Vineet Bafna, Kevin Yip and 3 more

Abstract read
In one paragraph

Article in Genome medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Rishaan KenkreSanford Burnham Prebys Medical Discovery Institute, 10901 North Torrey Pines Road, La Jolla, San Diego, CA, 92037, USA.
Owen S ChapmanSanford Burnham Prebys Medical Discovery Institute, 10901 North Torrey Pines Road, La Jolla, San Diego, CA, 92037, USA.
Eugene Yui-Ching ChowSanford Burnham Prebys Medical Discovery Institute, 10901 North Torrey Pines Road, La Jolla, San Diego, CA, 92037, USA.
Jens LuebeckDepartment of Computer Science and Engineering, University of California San Diego, La Jolla, San Diego, CA, USA.
Yan Yuen LoSanford Burnham Prebys Medical Discovery Institute, 10901 North Torrey Pines Road, La Jolla, San Diego, CA, 92037, USA.
Megan PaulRady Children's Hospital San Diego, San Diego, CA, USA.
Wenshu ZhangBioinformatics and Systems Biology Graduate Program, University of California San Diego, La Jolla, San Diego, CA, USA.
Jill MesirovSchool of Medicine, University of California San Diego, La Jolla, San Diego, CA, USA.
Vineet BafnaDepartment of Computer Science and Engineering, University of California San Diego, La Jolla, San Diego, CA, USA.
Kevin YipSanford Burnham Prebys Medical Discovery Institute, 10901 North Torrey Pines Road, La Jolla, San Diego, CA, 92037, USA.
Jon D LarsonSanford Burnham Prebys Medical Discovery Institute, 10901 North Torrey Pines Road, La Jolla, San Diego, CA, 92037, USA.
Robert J Wechsler-ReyaDepartment of Neurology and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, USA.
Lukas ChavezSanford Burnham Prebys Medical Discovery Institute, 10901 North Torrey Pines Road, La Jolla, San Diego, CA, 92037, USA. lchavez@sbpdiscovery.org.

Funding

Tumor Microenvironment and Cancer ImmunologyP30CA030199 · NCI · SANFORD BURNHAM PREBYS MEDICAL DISCOVERY INSTITUTE · PI Paul Christopher Boutros · 1985 to 2026
$107.2M
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
Investigation of ecDNA as a Driver of Intratumoral Heterogeneity and Treatment Resistance in High-Risk MedulloblastomaR01NS132780 · NINDS · SANFORD BURNHAM PREBYS MEDICAL DISCOVERY INSTITUTE · PI Lukas Chavez · 2023 to 2026
$2.6M
eDyNAmiC - UCSDOT2CA278635 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Vineet Bafna · 2022 to 2026
$1.8M
Clinical and genomic features of extrachromosomal circular DNA in pediatric cancerF31CA271777 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHAPMAN, OWEN SHOJIRO · 2022 to 2023
$62k
National Science Foundation #2138259, #2138286, #2138307, #2137603, and #2138296NCI NIH HHS F31 CA271777NCI NIH HHS OT2 CA278635NCI NIH HHS P30 CA030199NCI NIH HHS U24 CA264379NINDS NIH HHS R01 NS132780
6 · The paper itself

Abstract

backgroundExtrachromosomal DNA (ecDNA) is a structural variant linked to poor prognosis in pediatric cancers. Patient-derived xenograft (PDX) models are crucial tools for cancer research, as they are believed to recapitulate the molecular features and intratumoral heterogeneity in patient tumors. However, ecDNA demonstrates unique evolutionary dynamics under selective pressure, and its behavior during PDX development remains largely uncharacterized. This study investigates the fidelity of PDX models in representing ecDNA from primary tumors. By analyzing ecDNA sequence composition and copy number conservation across pediatric solid cancers, we assess how well PDX models recapitulate the ecDNA landscape observed in human tumors.

methodsAmpliconArchitect was used to analyze whole-genome sequencing (WGS) of 338 PDX models and 127 corresponding primary tumors. ecDNA status, sequence, copy number, and associated genes were compared between PDX models and their matched human tumors. Additionally, multiome RNA and ATAC single-cell sequencing of a PDX tumor enabled comparison of ecDNA intratumoral heterogeneity relative to similar data from the primary tumor.

resultsecDNA in PDX models largely recapitulated oncogene amplifications observed in human tumors, with MYCN being the most frequently amplified. ecDNA status remained unchanged for a majority of the PDX models (105/127, 83%) compared to primary tumors, with 20% of previously ecDNA-negative cases acquiring ecDNA during PDX development. Consequently, ecDNA was more prevalent in the PDX models than in their corresponding human tumors (McNemar's test, p = 0.00086). Detailed examination of ecDNA sequences in tumor-PDX pairs showed substantial conservation (67% with > 90% sequence overlap) but variable breakpoint concordance. Single-cell analysis demonstrated that rare ecDNA-positive cells from the primary tumor preferentially drive PDX tumor development.

conclusionThis study highlights the prevalence, oncogenic content, and conservation of ecDNA in PDX models relative to pediatric patient tumors. We observed that ecDNA frequently recapitulates oncogene amplifications found in human cancers, is generally preserved during PDX establishment, and reflects subtype-specific patterns across tumor types. These findings support the utility of PDX models in studying ecDNA biology in pediatric cancer progression and therapy. Longitudinal sampling during PDX tumor growth and under therapeutic pressure could provide insights into molecular evolution, clonal selection, and ecDNA-driven therapy resistance.

Indexed as

Extrachromosomal DNANeoplasmsAnimalsChildClonal EvolutionDisease Models, AnimalDNA Copy Number VariationsHeterograftsHumansMiceWhole Genome SequencingExtrachromosomal DNAExtrachromosomal DNAIntratumoral heterogeneityMedulloblastomaPatient-derived xenograftsPediatric cancer

Identifiers

PMID42210429
PMCPMC13403850

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.