ArticleInternational journal of clinical and experimental medicine2015
Associations between CTLA-4 +49 A/G (rs231775) polymorphism and cancer risk: a meta-analysis based on 52 case-control studies.
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 10 papers, 3 of them syntheses that pooled it.
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.
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
10 citing papers in PubMed, 3 syntheses or guidelines pooled it, 18 citations in OpenAlex.
- Cytotoxic T-lymphocyte antigen 4 polymorphisms and breast cancer susceptibility: Evidence from a meta-analysis.Journal of the Chinese Medical Association : JCMA · 2023Pooled it
- Epidemiological Evidence for Associations Between Genetic Variants and Osteosarcoma Susceptibility: A Meta-Analysis.Frontiers in oncology · 2022Pooled it
- Pooled it
- Clinical Impact of CTLA4 and LAG3 Single-Nucleotide Polymorphisms in Multiple Myeloma Patients Treated With BCMA CAR T-Cell Therapy.Hematological oncology · 2026Article
- On the Frontiers of Breast Cancer Diagnosis and Treatment: Current and Future Directions in a Rapidly Changing Field.Medicina (Kaunas, Lithuania) · 2022Article
- Association between CTLA-4 + 49A > G and - 318C > T single-nucleotide polymorphisms and susceptibility to thyroid neoplasm.Endocrine · 2018Article
- Article
- CTLA-4 polymorphisms associate with breast cancer susceptibility in Asians: a meta-analysis.PeerJ · 2017Article
- Puzzling role of genetic risk factors in human longevity: "risk alleles" as pro-longevity variants.Biogerontology · 2016Review
- MTHFR gene A1298C polymorphisms are associated with breast cancer risk among Chinese population: evidence based on an updated cumulative meta-analysis.International journal of clinical and experimental medicine · 2015Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo date, a number of epidemiological studies have explored the association between CTLA-4 +49 A/G polymorphism and cancer risk with elusive results. To address this gap, we carried out a comprehensive meta-analysis. DESIGN AND
methodsTwo reviewers independently searched the PubMed, EMBASE, CBM (Chinese BioMedical Disc) and China National Knowledge Infrastructure (CNKI) Databases for relevant studies up to December 20, 2014. Odds ratios (ORs) with 95% confidence intervals (CIs) for CTLA-4 +49 A/G polymorphism and cancer risk were used to evaluate the strength of association.
resultsA total of 52 case-control studies were ultimately recruited. Our results showed the statistical evidence of an association between the CTLA-4 +49 A/G polymorphism and decreased risk of overall cancer in all the comparison models. In stratified analyses by cancer type, ethnicity and the origin of cancer, significant decreases in cancer risk were observed in breast cancer, lung cancer, other cancers epithelial tumor and Asians. In addition, in a stratified analysis by the system of cancer, significant decreases in cancer risk were found for reproductive and breast cancer, respiratory system cancer, and malignant bone tumor in all the genetic models, and other system cancer in two genetic models: GG+AG vs. AA and GG vs. AA.
conclusionsThis meta-analysis suggests that the CTLA-4 +49 A/G polymorphism may be a protective factor for cancer.
Indexed as
Identifiers
26221222PMC4509167W1006527344What 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.