Evidence map›Paper›PMID 42170858›Full record

ArticlePediatric blood & cancer2026

Increased Risk of Sarcomas in Children With Congenital Anomalies: Findings From the Genetic Overlap Between Anomalies and Cancer in Kids (GOBACK) Registry Linkage Study.

Russ Wolters, Ji Yun Tark, Tiffany M Chambers, Tania A Desrosiers, Michael E Scheurer, Charles Shumate, Wendy N Nembhard, Mahsa M Yazdy, Eirini Nestoridi, Amanda E Janitz and 8 more

Abstract read
In one paragraph

Article in Pediatric blood & cancer, 2026. 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

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

18 authors.

Russ WoltersDepartment of Pediatrics, Baylor College of Medicine, Houston, Texas, USA.ORCID https://orcid.org/0000-0001-9930-1572
Ji Yun TarkDepartment of Medicine, Section of Epidemiology and Population Sciences, Baylor College of Medicine, Houston, Texas, USA.ORCID https://orcid.org/0000-0003-3233-5967
Tiffany M ChambersDepartment of Pediatrics, Baylor College of Medicine, Houston, Texas, USA.
Tania A DesrosiersDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Michael E ScheurerDepartment of Pediatrics, Emory University School of Medicine, Atlanta, Georgia, USA.
Charles ShumateBirth Defects Epidemiology and Surveillance Branch, Texas Department of State Health Services, Austin, Texas, USA.ORCID https://orcid.org/0000-0003-2884-2835
Wendy N NembhardDepartment of Epidemiology, Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.ORCID https://orcid.org/0000-0002-8318-4049
Mahsa M YazdyBureau of Family Health and Nutrition, Division for Family Health Data and Analytics, Massachusetts Department of Public Health, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0002-7415-5350
Eirini NestoridiBureau of Family Health and Nutrition, Division for Family Health Data and Analytics, Massachusetts Department of Public Health, Boston, Massachusetts, USA.
Amanda E JanitzDepartment of Biostatistics and Epidemiology, Hudson College of Public Health, University of Oklahoma Health Sciences Campus, Oklahoma City, Oklahoma, USA.
Jean Paul TannerChiles Center, College of Public Health, University of South Florida, Tampa, Florida, USA.
Russell S KirbyChiles Center, College of Public Health, University of South Florida, Tampa, Florida, USA.
Jason L SalemiChiles Center, College of Public Health, University of South Florida, Tampa, Florida, USA.
Yao YuDepartment of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Chad D HuffDepartment of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.ORCID https://orcid.org/0000-0002-1100-9364
Sharon E PlonDepartment of Pediatrics, Baylor College of Medicine, Houston, Texas, USA.
Philip J LupoDepartment of Pediatrics, Emory University School of Medicine, Atlanta, Georgia, USA.
Jeremy M SchrawDepartment of Pediatrics, Baylor College of Medicine, Houston, Texas, USA.

Funding

Qualification and Deployment of Imaging Biomarkers of Cancer Treatment ResponseU01CA190214 · NCI · STANFORD UNIVERSITY · PI RUBIN, DANIEL L · 2015 to 2020
$3.1M
Integrating Epidemiologic and Genomic Data to Elucidate the Genetic Overlap Between Congenital Anomalies and Pediatric CancerR01CA284531 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Chad Daniel Huff, Philip Lupo · 2023 to 2026
$1.9M
Cancer Prevention and Research Institute of TexasNational Cancer Research InstituteNCI NIH HHS R01 CA284531NCI NIH HHS U01 CA190214Rally Foundation for Childhood Cancer ResearchU.S. Department of Defense
6 · The paper itself

Abstract

backgroundPediatric sarcomas are a heterogeneous group of tumors that contribute disproportionately to cancer mortality in children. Although congenital anomalies are among the strongest known risk factors for childhood cancer, the risk of specific sarcoma subtypes among affected individuals has not yet been thoroughly evaluated. PROCEDURE: We obtained data on maternal and perinatal characteristics, congenital anomalies, and pediatric sarcoma diagnoses for all live births in nine states. We used Cox proportional hazards regression to estimate the hazard ratio (HR) and 95% confidence interval (CI) of sarcoma (overall and by subtype) among children with non-syndromic congenital anomalies. We considered all non-syndromic anomalies collectively, and when sample size allowed, we also evaluated specific anomaly-sarcoma associations.

resultsWe evaluated 21,933,884 children, including 641,770 (2.9%) with major non-syndromic congenital anomalies. Compared to children without a congenital anomaly, children with a non-syndromic anomaly had a two-fold higher hazard for any soft tissue sarcoma (95% CI: 1.7-2.5), including rhabdomyosarcoma (HR 2.2, 95% CI: 1.7-3.0) and embryonal rhabdomyosarcoma (HR 2.5, 95% CI: 1.8-3.6), as well as non-rhabdomyosarcoma soft tissue sarcoma (HR 1.8, 95% CI: 1.3-2.5). The hazard of embryonal rhabdomyosarcoma was markedly increased in children with central nervous system anomalies (HR 7.9, 95% CI: 3.9-15.9), obstructive genitourinary defects (HR 4.6, 95% CI: 2.2-9.7), and limb reduction deformities (HR 3.8, 95% CI: 1.6-9.3).

conclusionsChildren with non-syndromic congenital anomalies are at increased risk of sarcomas, especially soft tissue sarcomas. Future studies should clarify shared developmental pathways and evaluate implications for sarcoma risk prediction and surveillance.

Indexed as

Congenital AbnormalitiesSarcomaChildChild, PreschoolFemaleHumansInfantInfant, NewbornInformation Storage and RetrievalMaleProportional Hazards ModelsRegistriesRisk FactorsUnited Statesbirth defectscongenital anomaliesepidemiologypediatricsrhabdomyosarcomasarcoma

Identifiers

PMID42170858
PMCPMC13629186

What OpenQuestion holds

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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 OpenQuestion graph.