Evidence map›Paper›PMID 41825442›Full record

ArticleCancer cell2026

The landscape of structural variation in pediatric cancer.

Robert Greenhalgh, Samuel W Brady, Wentao Yang, Diane A Flasch, Michael N Edmonson, Nadezhda V Terekhanova, Yanling Liu, Jian Wang, Karol A Szlachta, Liqing Tian and 7 more

Abstract read
In one paragraph

Article in Cancer cell, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Robert GreenhalghDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA.
Samuel W BradyDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA; Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, TN, USA.
Wentao YangDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA.
Diane A FlaschDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA.
Michael N EdmonsonDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA.
Nadezhda V TerekhanovaDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA.
Yanling LiuDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA.
Jian WangDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA.
Karol A SzlachtaDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA.
Liqing TianDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA.
Daniel K PutnamDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA.
Delaram RahbariniaDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA.
Pandurang KolekarDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA.
Xin ZhouDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA.
Daniela S GerhardOffice of Cancer Genomics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Xiaotu MaDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA.
Jinghui ZhangDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA. Electronic address: jinghui.zhang@stjude.org.

Funding

Viral Vector Technology (VVTSR)P30CA021765 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI Shondra Michelle Miller · 1985 to 2026
$166.9M
Discovery of Somatic Noncoding Variants that Serve as Drivers in Pediatric CancersR01CA216391 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI ZHANG, JINGHUI · 2018 to 2022
$2.8M
CCR NIH HHS HHSN261200800001CNCI NIH HHS P30 CA021765NCI NIH HHS R01 CA216391NIH HHS HHSN261200800001E
6 · The paper itself

Abstract

Structural variants (SVs) account for over 60% of pediatric cancer driver variants. Pan-cancer analyses on 1,616 pediatric and 2,203 adult whole genomes show that pediatric SV burden varies ∼100-fold across cancer types, is reduced 6- to 16-fold compared to adult brain and solid tumors, but is comparable in hematological malignancies. The top-ranked SV-disrupted genes are drivers in pediatric cancers and fragile sites in adult cancers. Recurrent SV hotspots near RAG recombination signal sequences disrupt immune loci and driver genes in pediatric acute lymphoblastic leukemias, but immune loci exclusively in adult lymphoid cancers. Ten extracted SV signatures implicate RAG-mediated mutagenesis as a potential etiology for COSMIC SV7 in lymphoid cancers, while clustering of spatiotemporally distinct samples from 13 patients reveals the ongoing evolutionary contributions of SVs to intra-tumor heterogeneity and driver selection. Our study expands the known scope of RAG-mediated mutagenesis, while the curated SV dataset can guide future research and clinical testing.

Indexed as

Genomic Structural VariationNeoplasmsChildHumansMutagenesiscancer evolutioncancer genomicspediatric cancerRAG-mediated recombinationresourcesignaturesstructural variation

Identifiers

PMID41825442
PMCPMC12991425

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.