Evidence map›Paper›PMID 19337847›Full record

ArticleChromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology2009

Influence of genetic background on tumor karyotypes: evidence for breed-associated cytogenetic aberrations in canine appendicular osteosarcoma.

Rachael Thomas, Huixia J Wang, Pei-Chien Tsai, Cordelia F Langford, Susan P Fosmire, Cristan M Jubala, David M Getzy, Gary R Cutter, Jaime F Modiano, Matthew Breen

Abstract readComparative Study
In one paragraph

Article in Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
7.2field-weighted citation impact, top 3% 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

37 citing papers in PubMed, 88 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Risk factors for appendicular osteosarcoma occurrence in large and giant breed dogs in western Canada.The Canadian veterinary journal = La revue veterinaire canadienne · 2023
    Article
  5. Review
  6. Review
  7. Epigenetic Mechanisms in Canine Cancer.Frontiers in oncology · 2020
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Demographic risk factors for lymphoma in Australian dogs: 6201 cases.Journal of veterinary internal medicine · 2018
    Article
  13. Review
  14. Immunohistochemical detection of p53, PTEN, Rb, and p16 in canine osteosarcoma using tissue microarray.Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2018
    Article
  15. Review
  16. Article
  17. Review
  18. Dogs as a Model for Cancer.Annual review of animal biosciences · 2016
    Review
  19. Article
  20. 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

10 authors at 5 institutions in 2 countries.

Rachael ThomasDepartment of Molecular Biomedical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, NC 27606, USA.
Huixia J WangDepartment of Statistics, College of Agriculture and Life Sciences, North Carolina State University, Raleigh, NC 27695, USA.
Pei-Chien TsaiDepartment of Molecular Biomedical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, NC 27606, USA.
Cordelia F LangfordMicroarray Facility, The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK.
Susan P FosmireIntegrated Department of Immunology, University of Colorado, Denver, CO 80214, USA.
Cristan M JubalaIntegrated Department of Immunology, University of Colorado, Denver, CO 80214, USA.
David M GetzyIdexx Veterinary Services, Broomfield, CO 80020, USA.
Gary R CutterDepartment of Biostatistics, University of Alabama Birmingham, Birmingham, AL 35294, USA.
Jaime F Modiano *Integrated Department of Immunology, University of Colorado, Denver, CO 80214, USA.
Matthew Breen *Department of Molecular Biomedical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, NC 27606, USA.
North Carolina State University · USUniversity of Colorado Denver · USIDEXX Laboratories (United States) · USUniversity of Alabama at Birmingham · USWellcome Sanger Institute · GB

Funding

Wellcome Trust 079643Wellcome Trust 098051
6 · The paper itself

Abstract

Recurrent chromosomal aberrations in solid tumors can reveal the genetic pathways involved in the evolution of a malignancy and in some cases predict biological behavior. However, the role of individual genetic backgrounds in shaping karyotypes of sporadic tumors is unknown. The genetic structure of purebred dog breeds, coupled with their susceptibility to spontaneous cancers, provides a robust model with which to address this question. We tested the hypothesis that there is an association between breed and the distribution of genomic copy number imbalances in naturally occurring canine tumors through assessment of a cohort of Golden Retrievers and Rottweilers diagnosed with spontaneous appendicular osteosarcoma. Our findings reveal significant correlations between breed and tumor karyotypes that are independent of gender, age at diagnosis, and histological classification. These data indicate for the first time that individual genetic backgrounds, as defined by breed in dogs, influence tumor karyotypes in a cancer with extensive genomic instability.

Indexed as

AnimalsChromosome AberrationsComparative Genomic HybridizationDog DiseasesDogsGenetic Predisposition to DiseaseKaryotypingOsteosarcomaSpecies Specificity

Identifiers

PMID19337847
PMCPMC3758998
OpenAlexW2089713499

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.