SynthesisTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2015
Polymorphisms in IL-4/IL-13 pathway genes and glioma risk: an updated meta-analysis.
Synthesis in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
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Who cites it
4 citing papers in PubMed, 13 citations in OpenAlex.
- The Influence of NDRG1 Single Nucleotide Polymorphisms on Glioma Risk and Prognosis in Chinese Han Population.Cellular and molecular neurobiology · 2022Article
- Identification of an IL-4-Related Gene Risk Signature for Malignancy, Prognosis and Immune Phenotype Prediction in Glioma.Brain sciences · 2022Article
- Application of dual targeting drug delivery system for the improvement of anti-glioma efficacy of doxorubicin.Oncotarget · 2017Article
- Note of the methodological flaws in the paper entitled "Polymorphisms in IL-4/IL-13 pathway genes and glioma risk: an updated meta-analysis".Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Polymorphisms in interleukin (IL)-4/IL-13 pathway genes have previously been reported to be associated with glioma susceptibility, although results are inconsistent. We therefore performed an updated meta-analysis to determine a more precise estimation of this relationship. Twelve eligible studies were identified by searching PubMed, EMBASE, Web of Science, and the Cochrane Library electronic databases. Nine polymorphisms in genes within the IL-4/IL-13 pathway (IL-4 rs2243250, rs2070874, rs2243248, IL-4R rs1805011, rs1805012, rs1805015, rs1801275, and IL-13 rs20541 and rs1800925) were assessed for their relationship with glioma risk by computing odds ratios (ORs) and corresponding 95 % confidence intervals (CIs). Akaike's information criterion (AIC) was used to identify the best genetic model for each polymorphism. No association between IL-4/IL-13 pathway genetic polymorphisms and glioma risk was observed in the overall population, although a significant association was found between rs2234248 and glioblastoma when stratified by histological subtype (log-additive model, OR 1.57, 95 % CI 1.11-2.24). This meta-analysis therefore suggested that IL-4/IL-13 pathway genetic polymorphisms are not associated with glioma risk.
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