Evidence map›Paper›PMID 25809884›Full record

ArticleCancer medicine2015

Family history of cancer and childhood rhabdomyosarcoma: a report from the Children's Oncology Group and the Utah Population Database.

Philip J Lupo, Heather E Danysh, Sharon E Plon, Karen Curtin, David Malkin, Simone Hettmer, Douglas S Hawkins, Stephen X Skapek, Logan G Spector, Karin Papworth and 4 more

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.7field-weighted citation impact, top 15% of its field
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

16 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Clinicopathologic and molecular analysis of embryonal rhabdomyosarcoma of the genitourinary tract: evidence for a distinct DICER1-associated subgroup.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2021
    Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Racial and Ethnic Differences in Sarcoma Incidence Are Independent of Census-Tract Socioeconomic Status.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Article
  10. Review
  11. Review
  12. Rhabdomyosarcoma.Nature reviews. Disease primers · 2019
    Review
  13. Article
  14. Article
  15. Article
  16. Review
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

14 authors at 10 institutions in 4 countries.

Philip J LupoSection of Hematology-Oncology, Department of Pediatrics, Baylor College of Medicine, Houston, Texas, USA.
Heather E DanyshSection of Hematology-Oncology, Department of Pediatrics, Baylor College of Medicine, Houston, Texas, USA.
Sharon E PlonSection of Hematology-Oncology, Department of Pediatrics, Baylor College of Medicine, Houston, Texas, USA.
Karen CurtinCenter for Children's Cancer Research (C3R), University of Utah Health Sciences Center, Salt Lake City, Utah, USA.
David MalkinDivision of Hematology/Oncology, Department of Pediatrics, The Hospital for Sick Children, University of Toronto, Toronto, Canada.
Simone HettmerCharité, University Hospital Berlin, Germany.
Douglas S HawkinsSeattle Children's Hospital, University of Washington, Seattle, Washington, USA.
Stephen X SkapekDivision of Hematology/Oncology, Department of Pediatrics, University of Texas Southwestern Medical Center and Children's Medical Center, Dallas, Texas, USA.
Logan G SpectorDivision of Pediatric Epidemiology and Clinical Research, Department of Pediatrics, University of Minnesota, Minneapolis, Minnesota, USA.
Karin PapworthDepartment of Radiation Sciences, Oncology, Umeå University, Umea, Sweden.
Beatrice MelinDepartment of Radiation Sciences, Oncology, Umeå University, Umea, Sweden.
Erik B ErhardtDepartment of Mathematics and Statistics, University of New Mexico, Albuquerque, New Mexico, USA.
Seymour GruffermanDivision of Epidemiology and Biostatistics, Department of Internal Medicine, University of New Mexico, Albuquerque, New Mexico, USA.
Joshua D SchiffmanCenter for Children's Cancer Research (C3R), University of Utah Health Sciences Center, Salt Lake City, Utah, USA.
Baylor College of Medicine · USUmeå University · SEUniversity of New Mexico · USCharité - Universitätsmedizin Berlin · DEFred Hutch Cancer Center · USSickKids Foundation · CAThe University of Texas Southwestern Medical Center · USUniversity of Minnesota · USUtah Cancer Specialists · USUtah Department of Health · US

Funding

NCTN BIQSFP ANBL1531 (NRT)U10CA180886 · NCI · PUBLIC HEALTH INSTITUTE · PI Douglas S. Hawkins · 2014 to 2026
$390.6M
COG FOREIGN ACCRUALU10CA098543 · NCI · NATIONAL CHILDHOOD CANCER FOUNDATION · PI ADAMSON, PETER C. · 2003 to 2013
$335.5M
PEDIATRIC ONCOLOGY GROUP STATISTICAL OFFICEU10CA029139 · NCI · UNIVERSITY OF FLORIDA · PI DEVIDAS, MEENAKSHI · 1985 to 2002
$7.3M
INTERGROUP RHABDOMYOSARCOMA STUDYU10CA024507 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI REAMAN, GREGORY H · 1985 to 2002
$2.0M
Medical Research Council MOP-300105NCI NIH HHS CA13539NCI NIH HHS CA21244NCI NIH HHS CA24507NCI NIH HHS CA29139NCI NIH HHS CA30318NCI NIH HHS CA30969NCI NIH HHS U10 CA098543NCI NIH HHS U10 CA180886
6 · The paper itself

Abstract

Relatively little is known about the epidemiology and factors underlying susceptibility to childhood rhabdomyosarcoma (RMS). To better characterize genetic susceptibility to childhood RMS, we evaluated the role of family history of cancer using data from the largest case-control study of RMS and the Utah Population Database (UPDB). RMS cases (n = 322) were obtained from the Children's Oncology Group (COG). Population-based controls (n = 322) were pair-matched to cases on race, sex, and age. Conditional logistic regression was used to evaluate the association between family history of cancer and childhood RMS. The results were validated using the UPDB, from which 130 RMS cases were identified and matched to controls (n = 1300) on sex and year of birth. The results were combined to generate summary odds ratios (OR(s) ) and 95% confidence intervals (CI). Having a first-degree relative with a cancer history was more common in RMS cases than controls (OR(s) = 1.39, 95% CI: 0.97-1.98). Notably, this association was stronger among those with embryonal RMS (OR(s) = 2.44, 95% CI: 1.54-3.86). Moreover, having a first-degree relative who was younger at diagnosis of cancer (<30 years) was associated with a greater risk of RMS (OR(s) = 2.37, 95% CI: 1.34-4.18). In the largest analysis of its kind, we found that most children diagnosed with RMS did not have a family history of cancer. However, our results indicate an increased risk of RMS (particularly embryonal RMS) in children who have a first-degree relative with cancer, and among those whose relatives were diagnosed with cancer at <30 years of age.

Indexed as

FamilyGenetic Predisposition to DiseaseAdolescentAge FactorsCase-Control StudiesChildChild, PreschoolDatabases, FactualFemaleHumansMaleOdds RatioPopulation SurveillanceRhabdomyosarcomaRisk FactorsUtahChildhood cancerepidemiologyfamily historyrhabdomyosarcomasoft tissue sarcoma

Identifiers

PMID25809884
PMCPMC4430270
OpenAlexW2097495619

What OpenQuestion 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 OpenQuestion graph.