Evidence map›Paper›PMID 42234944›Full record

ArticleJCO precision oncology2026

Germline Whole-Genome Sequencing in Early-Onset Pediatric Solid Tumors Implicates Novel Risk Factors.

Matthew Nagy, Andy Bhattacharjee, Abigail Cinelli, David Housman, Junne Kamihara, Jaclyn Schienda, Kayla Hamilton, Carrie Cibulskis, Christopher Ng, Noah Fields and 5 more

Abstract read
In one paragraph

Article in JCO precision oncology, 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. Article
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

15 authors.

Matthew NagyDepartment of Pediatrics, Boston Children's Hospital/Harvard Medical School, Boston, MA.ORCID 0000-0001-5087-6674
Andy BhattacharjeeDivision of Newborn Medicine, Department of Pediatrics, Brigham and Women's Hospital/Harvard Medical School, Boston, MA.
Abigail CinelliDana-Farber/Boston Children's Cancer and Blood Disorders Center/Harvard Medical School, Boston, MA.
David HousmanDepartment of Biology, Massachusetts Institute of Technology, Cambridge, MA.
Junne KamiharaDepartment of Pediatrics, Boston Children's Hospital/Harvard Medical School, Boston, MA.ORCID 0000-0002-2852-7387
Jaclyn SchiendaDepartment of Pediatrics, Boston Children's Hospital/Harvard Medical School, Boston, MA.ORCID 0000-0003-2543-8378
Kayla HamiltonDepartment of Pediatrics, Boston Children's Hospital/Harvard Medical School, Boston, MA.ORCID 0000-0002-5196-370X
Carrie CibulskisBroad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA.ORCID 0000-0002-1996-8957
Christopher NgDepartment of Biology, Massachusetts Institute of Technology, Cambridge, MA.
Noah FieldsBroad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA.ORCID 0009-0008-7650-9117
Baihe SunBroad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA.ORCID 0009-0003-6632-7786
Ryan CollinsBroad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA.ORCID 0000-0003-1268-9995
Richard B ParadDivision of Newborn Medicine, Department of Pediatrics, Brigham and Women's Hospital/Harvard Medical School, Boston, MA.ORCID 0000-0002-4326-0609
Lisa DillerDepartment of Pediatrics, Boston Children's Hospital/Harvard Medical School, Boston, MA.ORCID 0000-0002-4073-5509
Riaz GillaniDepartment of Pediatrics, Boston Children's Hospital/Harvard Medical School, Boston, MA.ORCID 0000-0001-8643-2725

Funding

Dissecting the role of DNA damage repair deficiency in Ewing sarcoma pathogenesis for improved risk stratification and treatmentK08CA276701 · NCI · DANA-FARBER CANCER INST · PI Riaz Gillani · 2023 to 2026
$788k
NCI NIH HHS K08 CA276701
6 · The paper itself

Abstract

purposeMany children with very early-onset solid tumors remain without an identified germline risk factor after negative panel testing. Whole-genome sequencing (WGS) enables detection of large structural variants (SVs) and rare loss-of-function variants in highly constrained genes that are not routinely captured by standard clinical assays. The additional yield and spectrum of germline findings identified by WGS in this population remain incompletely defined.

methodsWe conducted a retrospective cohort study of children with very early-onset solid or brain tumors evaluated at a tertiary cancer genetic risk clinic with clinically guided germline panel testing. Germline WGS was performed on blood-derived DNA. Analyses focused on pathogenic or likely pathogenic variants in established cancer predisposition genes (CPGs), large SVs (>1,000,000 bp), aneuploidies, and loss-of-function variants in highly constrained genes.

resultsOne hundred thirty-two patients were included, with median (IQR) age at diagnosis of 1.7 (0.8-3.2) years. Panel testing identified pathogenic CPG variants in 27 of 132 patients (20%). WGS recapitulated panel findings and identified nine additional putative pathogenic variants, increasing yield to 27%. Eight patients (6%) harbored large germline SVs or aneuploidies, including five events not previously recognized. Rare loss-of-function variants in highly constrained genes were identified in 46 patients (35%), many involving pathways relevant to cancer development. Overall, 66 of 132 patients (50%) carried at least one rare germline variant of potential pathogenic relevance.

conclusionIn children with very early-onset solid tumors, germline WGS increased detection of potentially pathogenic variants, including novel structural and constrained-gene alterations. These findings support broader consideration of germline WGS in early-onset solid tumors to refine genetic risk assessment and enable discovery of novel susceptibility mechanisms.

Indexed as

Germ-Line MutationNeoplasmsWhole Genome SequencingAge of OnsetChildChild, PreschoolFemaleGenetic Predisposition to DiseaseHumansInfantMaleRetrospective StudiesRisk Factors

Identifiers

PMID42234944
PMCPMC13252972

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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.