Evidence map›Paper›PMID 41030971›Full record

ArticlebioRxiv : the preprint server for biology2025

The landscape of structural variation in pediatric cancer.

Robert Greenhalgh, Wentao Yang, Samuel W Brady, Diane A Flasch, Yanling Liu, Karol A Szlachta, Liqing Tian, Pandurang Kolekar, Jian Wang, Xin Zhou and 3 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Robert GreenhalghDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis TN, USA.ORCID 0000-0003-2816-3154
Wentao YangDepartment 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.
Diane A FlaschDepartment 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.
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.
Pandurang KolekarDepartment 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.
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.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Structural variants (SVs) account for over 60% of the driver variants in pediatric cancer, and in many cases act as the cancer initiating event. To study SVs from a pan-cancer perspective, we analyzed 1,616 pediatric cancer genomes in 16 major cancer types of hematological malignancies (n = 908), brain tumors (n = 183), and solid tumors (n = 525) and compared their profiles to those of 2,203 adult cancers. The SV burden varied ~100-fold across pediatric cancer types and demonstrated an 8- to 16-fold reduction compared to adult brain and solid tumors but was comparable in pediatric versus adult hematological malignancies. Recurrent SV hotspots occurred uniquely in pediatric acute lymphoblastic leukemias (ALLs) in proximity to RAG-mediated recombination signal sequences (RSS) and disrupted multiple immune-related loci as well as 69 genes, which often involved cryptic RSS sites. By contrast, such hotspots affected only immune-related loci but not driver genes in adult lymphoid cancers. Eight SV signatures extracted from the cohort had varying distributions across cancer types, with clustered translocations reflecting templated insertions in osteosarcoma, and medium-sized deletions (10 kb to 1 Mb) enriched in cancers with RAG-mediated deletions. Intra-patient evolutionary analysis in 13 patients with multiple spatiotemporally distinct samples revealed that RAG-mediated recombination in leukemia and complex rearrangements in solid tumors occurred both early in disease initiation and continuously during later diversification, contributing to clonal heterogeneity. Finally, we found that both driver genes and fragile sites were the two genomic regions most frequently disrupted by SVs. The unique and diverse SV landscapes that emerged from this comprehensive analysis expand the scope of RSS-mediated mutagenesis in pediatric ALL and will be a valuable resource for guiding future functional studies and the design of clinical genomic testing in pediatric cancer.

Identifiers

PMID41030971
PMCPMC12478399

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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.