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The association between the migration inhibitory factor −173G/C polymorphism and cancer risk: a meta-analysis
Previous studies have suggested that macrophage migration inhibitory factor (MIF) −173G/C polymorphism may be associated with cancer risk. However, previous research has demonstrated conflicting results. Therefore, we followed the preferred reporting items for systematic reviews and meta-analyses (P...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove Medical Press
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4360805/ https://www.ncbi.nlm.nih.gov/pubmed/25792844 http://dx.doi.org/10.2147/OTT.S72795 |
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author | Zhang, Xiao Weng, Wenhao Xu, Wen Wang, Yulan Yu, Wenjun Tang, Xun Ma, Lifang Pan, Qiuhui Wang, Jiayi Sun, Fenyong |
author_facet | Zhang, Xiao Weng, Wenhao Xu, Wen Wang, Yulan Yu, Wenjun Tang, Xun Ma, Lifang Pan, Qiuhui Wang, Jiayi Sun, Fenyong |
author_sort | Zhang, Xiao |
collection | PubMed |
description | Previous studies have suggested that macrophage migration inhibitory factor (MIF) −173G/C polymorphism may be associated with cancer risk. However, previous research has demonstrated conflicting results. Therefore, we followed the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines and the meta-analysis on genetic association studies checklist, and performed a meta-analysis to investigate the association between MIF −173G/C polymorphisms and the risk of cancer. Odds ratios (ORs) and corresponding 95% confidence intervals (CIs) were combined to measure the association between MIF promoter polymorphisms and cancer risk. The pooled ORs were performed for the dominant model, recessive model, allelic model, homozygote comparison, and heterozygote comparison. The publication bias was examined by Begg’s funnel plots and Egger’s test. A total of ten studies enrolling 2,203 cases and 2,805 controls met the inclusion criteria. MIF (−173G/C) polymorphism was significantly associated with increased cancer risk under the dominant model (OR=1.32, 95%, CI=1.00–1.74, P=0.01) and the heterozygote comparison (OR=1.38, CI=1.01–1.87, P=0.04). In subgroup analysis, MIF polymorphism and prostate were related to increased risk of prostate and non-solid cancer. In conclusion, MIF polymorphism was significantly associated with cancer risk in heterozygote comparison. The MIF −173G/C polymorphism may be associated with increased cancer risk. |
format | Online Article Text |
id | pubmed-4360805 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Dove Medical Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-43608052015-03-19 The association between the migration inhibitory factor −173G/C polymorphism and cancer risk: a meta-analysis Zhang, Xiao Weng, Wenhao Xu, Wen Wang, Yulan Yu, Wenjun Tang, Xun Ma, Lifang Pan, Qiuhui Wang, Jiayi Sun, Fenyong Onco Targets Ther Original Research Previous studies have suggested that macrophage migration inhibitory factor (MIF) −173G/C polymorphism may be associated with cancer risk. However, previous research has demonstrated conflicting results. Therefore, we followed the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines and the meta-analysis on genetic association studies checklist, and performed a meta-analysis to investigate the association between MIF −173G/C polymorphisms and the risk of cancer. Odds ratios (ORs) and corresponding 95% confidence intervals (CIs) were combined to measure the association between MIF promoter polymorphisms and cancer risk. The pooled ORs were performed for the dominant model, recessive model, allelic model, homozygote comparison, and heterozygote comparison. The publication bias was examined by Begg’s funnel plots and Egger’s test. A total of ten studies enrolling 2,203 cases and 2,805 controls met the inclusion criteria. MIF (−173G/C) polymorphism was significantly associated with increased cancer risk under the dominant model (OR=1.32, 95%, CI=1.00–1.74, P=0.01) and the heterozygote comparison (OR=1.38, CI=1.01–1.87, P=0.04). In subgroup analysis, MIF polymorphism and prostate were related to increased risk of prostate and non-solid cancer. In conclusion, MIF polymorphism was significantly associated with cancer risk in heterozygote comparison. The MIF −173G/C polymorphism may be associated with increased cancer risk. Dove Medical Press 2015-03-10 /pmc/articles/PMC4360805/ /pubmed/25792844 http://dx.doi.org/10.2147/OTT.S72795 Text en © 2015 Zhang et al. This work is published by Dove Medical Press Limited, and licensed under Creative Commons Attribution – Non Commercial (unported, v3.0) License The full terms of the License are available at http://creativecommons.org/licenses/by-nc/3.0/. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. |
spellingShingle | Original Research Zhang, Xiao Weng, Wenhao Xu, Wen Wang, Yulan Yu, Wenjun Tang, Xun Ma, Lifang Pan, Qiuhui Wang, Jiayi Sun, Fenyong The association between the migration inhibitory factor −173G/C polymorphism and cancer risk: a meta-analysis |
title | The association between the migration inhibitory factor −173G/C polymorphism and cancer risk: a meta-analysis |
title_full | The association between the migration inhibitory factor −173G/C polymorphism and cancer risk: a meta-analysis |
title_fullStr | The association between the migration inhibitory factor −173G/C polymorphism and cancer risk: a meta-analysis |
title_full_unstemmed | The association between the migration inhibitory factor −173G/C polymorphism and cancer risk: a meta-analysis |
title_short | The association between the migration inhibitory factor −173G/C polymorphism and cancer risk: a meta-analysis |
title_sort | association between the migration inhibitory factor −173g/c polymorphism and cancer risk: a meta-analysis |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4360805/ https://www.ncbi.nlm.nih.gov/pubmed/25792844 http://dx.doi.org/10.2147/OTT.S72795 |
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