Linked Life Data

20533084

Source:http://linkedlifedata.com/resource/pubmed/id/20533084

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
10
pubmed:dateCreated
2010-9-17
pubmed:abstractText
We quantified associations between IgE and cancer in a meta-analysis and cohort study. Pubmed and Embase were searched to extract information using predefined inclusion criteria. In the Apolipoprotein MOrtality RISk (AMORIS) database, 24,820 persons had IgE measurements. Multivariate Cox proportional hazard models were used to analyze associations between IgE and cancer. Twenty-seven studies were reviewed from which seven case-control studies were included for analysis. The pooled relative risk (random effects model) was 0.97 (95% CI 0.86-1.09). Cell types of tumor origin (mesenchymal tissue or cells of the nervous system, lymphatic or hematopoietic tissue, and epithelium) modified the effect. In the AMORIS cohort, 862 persons developed cancer. Hazard ratios comparing quartiles of IgE were similar to the findings in the meta-analysis (HR 0.87 (95% CI 0.72-1.06); 0.94 (0.78-1.14); 0.90 (0.74-1.10) for the 2nd, 3rd, and 4th quartile compared to the 1st quartile), but there was no pattern by tumor origin. Both studies showed a weak inverse association between IgE and cancer, but a pattern by cancer type was only seen in the meta-analysis. Our findings suggest the need for prospective studies studying IgE and cancer. Measurements of IgE should be combined with other information, e.g., bio-banked samples containing other key immunological discriminators.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Oct
pubmed:issn
1573-7225
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
21
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1657-67
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
Immunoglobulin E and cancer: a meta-analysis and a large Swedish cohort study.
pubmed:affiliation
Cancer Epidemiology Group, King's College London, London, UK. mieke.vanhemelrijck@kcl.ac.uk
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't, Meta-Analysis