The course of gastric cancer following surgery is associated with genetic variations of the interleukin-1 receptor antagonist and interleukin-1β View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2015-01

AUTHORS

Anke H. van der Ploeg, Oliver Kumpf, Evelyn Seelow, Luis C. Berrocal Almanza, Peter M. Schlag, Ralf R. Schumann, Lutz Hamann

ABSTRACT

BACKGROUND: Inflammation, especially the cytokine response of the IL-1 family, has been shown to influence susceptibility to gastric cancer. In addition, several other pro-inflammatory cytokines have been demonstrated to influence metastasis and resistance to chemotherapy. Therefore, genetic variations within these genes may not only affect susceptibility but also influence the outcome of gastric cancer patients. A limited number of studies showed indeed an association of IL-1β and IL-1RN variations with survival of gastric cancer patients. However, results are inconsistent, possibly because of different patient cohorts and different therapies. METHODS: In this retrospective cohort study we genotyped 154 patients with gastric cancer for IL-1β and IL-1RN variations. Patients had undergone pathologically proven R0 resection and had received no additional adjuvant treatment. RESULTS: We show here a protective association with disease-free survival for both heterozygous genotypes, IL-1β SNP C-511T (rs16944) and IL-1RN VNTR. The combination of both heterozygous genotypes is the strongest predictor independent of UICC stage. CONCLUSION: Genetic variations in the IL-1β and IL-1RN genes influence disease progression in gastric cancer. Screening for these genetic variations might help to stratify therapies for gastric cancer patients in the future. More... »

PAGES

77-83

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10120-014-0349-z

DOI

http://dx.doi.org/10.1007/s10120-014-0349-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1013476330

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/24557417


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

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curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10120-014-0349-z'

Turtle is a human-readable linked data format.

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RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10120-014-0349-z'


 

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