ArticleInternational journal of clinical and experimental medicine2015
The MIF -173G/C gene polymorphism increase gastrointestinal cancer and hematological malignancy risk: evidence from a meta-analysis and FPRP test.
Article in International journal of clinical and experimental medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.
- Association between the polymorphisms of CALM1 gene and osteoarthritis risk: a meta-analysis based on observational studies.Bioscience reports · 2018Pooled it
- Association between the MIF-173G/C Polymorphism and Serum MIF levels with Pulmonary Tuberculosis: A Meta-analysis.Scientific reports · 2017Pooled it
- MIF promoter polymorphism increases peripheral blood expression levels, contributing to increased susceptibility and poor prognosis in hepatocellular carcinoma.Oncology letters · 2021Article
- Genetic Variants of thePharmacogenomics and personalized medicine · 2021Article
- Emerging Role of the Macrophage Migration Inhibitory Factor Family of Cytokines in Neuroblastoma. Pathogenic Effectors and Novel Therapeutic Targets?Molecules (Basel, Switzerland) · 2020Review
- Macrophage Migration Inhibitory Factor -173 G/C Polymorphism: A Global Meta-Analysis across the Disease Spectrum.Frontiers in genetics · 2018Article
- Macrophage Migration Inhibitory Factor (MIF): Biological Activities and Relation with Cancer.Pathology oncology research : POR · 2017Review
- Macrophage migration inhibitory factor -173 G > C polymorphism and risk of tuberculosis: A meta-analysis.EXCLI journal · 2017Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The macrophage migration inhibitory factor (MIF) -173G/C gene polymorphism has been implicated in the susceptibility to cancer, but the results are not conclusive. So the aim of study to investigate the association between MIF -173G/C gene polymorphism and cancer risk by a comprehensive meta-analysis. We searched the PubMed, Embase, Wanfang and China National Knowledge Internet (CNKI) databases, with the last updated search being performed on May 24, 2015. The odds ratio (OR) and 95% confidence interval (95% CI) were used to assess the association. Statistical analysis was performed by STATA 11.0 software. Finally, 7,253 participants from 15 studies were included in the meta-analysis. The results of meta-analysis indicated the significant association between MIF -173G/C gene polymorphism and cancer susceptibility, especially in Asians (C vs. G, OR: 1.22, 95% CI=1.00-1.50). In addition, the significant relationship between MIF -173G/C gene polymorphism and gastrointestinal tumors (CC+CG vs. GG, OR: 1.25, 95% CI=1.05-1.50), hematological malignancy (CC+CG vs. GG, OR: 1.27, 95% CI=1.03-1.56), gynecolgical tumors (CC vs. CG+ GG, OR: 1.51, 95% CI=1.04-2.19) risk was found. However, to avoid the "false positive report", we investigated the significant associations observed in the present meta-analysis by the false positive report probabilities (FPRPs) test. Interestingly, the results of FPRP test indicated the MIF -173G/C gene polymorphism only associated with gastrointestinal cancer and hematological malignancy risk (FPRP=0.132, 0.067 respectively) at the level of a prior probability is 0.1. Therefore, the meta-analysis suggested MIF -173G/C gene polymorphism would be a risk factor for the gastrointestinal cancer and hematological malignancy.
Indexed as
Identifiers
26629098PMC4658987W2410180774What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.