ArticleInternational journal of clinical and experimental medicine2015
IFN-γ +874 T/A polymorphisms contributes to cervical cancer susceptibility: a meta-analysis.
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, 1 of them a synthesis 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, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.
- Is there an association between IFN-γ +874A/T polymorphism and periodontitis susceptibility?: A meta-analysis.Medicine · 2017Pooled it
- Immunological Determinants of Oncogenic Virus-Driven Cancers in Africa: Mechanisms, Co-Infections and Public Health Challenges.Pathogens (Basel, Switzerland) · 2026Review
- A novel cervix carcinoma biomarker: Pathological-epigenomics, integrated analysis of MethylMix algorithm and pathology for predicting response to cancer immunotherapy.Frontiers in oncology · 2022Article
- Genetic Predisposition to Persistent Human Papillomavirus-Infection and Virus-Induced Cancers.Microorganisms · 2021Review
- Influence of icariin on inflammation, apoptosis, invasion, and tumor immunity in cervical cancer by reducing the TLR4/MyD88/NF-κB and Wnt/β-catenin pathways.Cancer cell international · 2021Article
- Effect of Psychological Care Combined with Traditional Chinese Medicine on Postoperative Psychological Stress Response in Patients with Advanced Cervical Cancer.Evidence-based complementary and alternative medicine : eCAM · 2021Article
- Effects of Perioperative Dexmedetomidine on Immunomodulation in Uterine Cancer Surgery: A Randomized, Controlled Trial.Frontiers in oncology · 2021Article
- Comprehensive network map of interferon gamma signaling.Journal of cell communication and signaling · 2018Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Interferon gamma (IFN-γ) is a potent proinflammatory cytokine which plays an important role in the antiviral, antiproliferative, and antitumor activities. So our meta-analysis was conducted to evaluate the correlations between common genetic polymorphisms in the IFN-γ gene and susceptibility to cervical cancer. The +874 polymorphism in IFN gene region reportedly affects cancer risk. In order to derive a more precise estimation of the association, eight clinical case-control studies met all the inclusion criteria and were included in this meta-analysis. A total of 2,375 cancer cases and 2,106 controls were involved in this meta-analysis. Overall, no significant association was detected in allelic model (A allele vs. T allele OR=0.97, 95% CI, 0.73~1.28), homozygote comparison (AA vs. TT OR=1.12, 95% CI, 0.68~1.85), heterozygote comparison (AT vs. TT OR=1.43, 95% CI, 0.97~1.61), dominant model (AA+AT vs. TT OR=1.19, 95% CI, 0.87~1.63), nor recessive model (AA vs. AT+TT OR=0.95, 95% CI, 0.64~1.40). Subgroup analysis based on ethnicity, genotyping method, and Hardy-Weinberg equilibrium status. Ethnicity suggested that genetic polymorphisms in the IFN-γ gene were closely correlated with increased cervical cancer risk among Asians (allele model: OR=1.11, 95% CI=0.61~2.02, P<0.001; recessive model: OR=0.98, 95% CI=0.36~2.96, P<0.001; homozygous model: OR=1.43, 95% CI=0.56~3.65, P=0.001; respectively), but not among Mixed (all P>0.05). In conclusion, the current meta-analysis supported that IFN-γ genetic polymorphism may contribute to cervical cancer susceptibility, and further well-designed studies with large sample size are warranted to validate our conclusion.
Indexed as
Identifiers
26064303PMC4443137W600062658What 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.