28 research outputs found

    Association of the Polymorphisms in the <i>Fas/FasL</i> Promoter Regions with Cancer Susceptibility: A Systematic Review and Meta-Analysis of 52 Studies

    No full text
    <div><p>Fas and its ligand (FasL) play an important role in apoptosis and carcinogenesis. Therefore, the potential association of polymorphisms in the <i>Fas</i> (-670A>G, rs1800682; -1377G>A, rs2234767) and <i>FasL</i> (-844C>T, rs763110) with cancer risk has been widely investigated. However, all the currently available results are not always consistent. In this work, we performed a meta-analysis to further determine whether carriers of the polymorphisms in <i>Fas</i> and <i>FasL</i> of interest could confer an altered susceptibility to cancer. All relevant data were retrieved by PubMed and Web of Science, and 52 eligible studies were chosen for this meta-analysis. There was no association of the <i>Fas</i> -670A>G polymorphism with cancer risk in the pooled data. For the <i>Fas</i> -1377G>A and <i>FasL</i> -844C>T polymorphisms, results revealed that the homozygotes of -1377A and -844C were associated with elevated risk of cancer as a whole. Further stratified analysis indicated markedly increased risk for developing breast cancer, gastric cancer, and esophageal cancer, in particular in Asian population. We conclude that carriers of the <i>Fas</i>-1377A and the <i>FasL</i> -844C are more susceptible to the majority of cancers than non-carriers.</p></div

    Begg's funnel plot of Egger's test for publication bias for three polymorphisms.

    No full text
    <p>Each circle represents as an independent study for the indicated association. Log[OR], natural logarithm of OR. Horizontal lines mean effect size. A: Begg's funnel plot of publication bias test for <i>Fas</i> -670A>G polymorphism. B: Begg's funnel plot of publication bias test for <i>Fas</i> -1377G>A polymorphism. C: Begg's funnel plot of publication bias test for <i>FasL</i> -844C>T polymorphism.</p

    <i>Fas</i> and <i>FasL</i> mRNA expression by the ethnicity, using data from the HapMap<sup>1</sup>.

    No full text
    <p>CEU: 90 Utah residents with ancestry from northern and western Europe; YRI: 90 Yoruba in Ibadan, Nigeria; Asian: 45 unrelated Han Chinese in Beijing and 45 unrelated Japanese in Tokyo.</p>1<p>Genotyping data and mRNA expression levels for <i>Fas</i> and <i>FasL</i> by genotypes were obtained from the HapMap phase II release 23 data from EBV-transformed lymphoblastoid cell lines from 270 individuals.</p>2<p>Two-side Student's <i>t</i> test within the stratum was used.</p>3<p>There were missing data for unavailable genotyping data.</p><p>Statistically significant results were in bold.</p

    Stratified analyses of the <i>Fas</i> -1377G>A (rs2234767) polymorphism and cancer.

    No full text
    a<p>Number of comparisons.</p>b<p><i>P</i> value of <i>Q</i>-test for heterogeneity test.</p>c<p>Random-effect model was applied when P value for heterogeneity <0.05; otherwise, fixed-effect model was applied.</p><p>Statistically significant results were in bold.</p

    Forest plots of effect estimates for <i>Fas</i> -1377G>A polymorphism (AA vs GG).

    No full text
    <p>For each of the studies, the estimation of OR and its 95% CI is plotted with a <i>box</i> and a <i>horizontal line</i>. <i>Filled diamond</i> pooled OR and its 95% CI.</p

    Stratified analyses of the <i>FasL</i>-844C>T (rs763110) polymorphism and cancer.

    No full text
    <p>PCR-RFLP: restriction fragment length polymorphism.</p>a<p>Number of comparisons.</p>b<p><i>P</i> value of <i>Q</i>-test for heterogeneity test.</p>c<p>Random-effect model was applied when P value for heterogeneity <0.05; otherwise, fixed-effect model was applied.</p><p>Statistically significant results were in bold.</p

    Forest plots of effect estimates for rs11614913 stratified by country (TT vs CC+CT).

    No full text
    <p>For each studies, the estimate of OR and its 95% CI is plotted with a <i>box</i> and a <i>horizontal line</i>. <i>Filled diamond</i> pooled OR and its 95% CI.</p
    corecore