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IGF-I CA19 repeat polymorphisms and cancer risk: a meta-analysis
Qing Guo1, Feng Shen2, Chi Zhang3
1Department of Radiotherapy, Taizhou People's Hospital Taizhou, China.
International Journal of Clinical and Experimental Medicine
|February 18, 2016
Summary
Insulin-like Growth Factor 1 (IGF-I) CA19 repeat polymorphisms may not be a major cancer risk factor overall. However, they might reduce the risk for specific cancers like breast and prostate cancer in certain populations.
Area of Science:
- Genetics
- Cancer Epidemiology
- Molecular Biology
Background:
- Insulin-like Growth Factor 1 (IGF-I) CA repeat polymorphisms, particularly the CA19 allele, have been linked to cancer risk.
- Previous studies on this association are conflicting and inconclusive.
Purpose of the Study:
- To conduct a meta-analysis evaluating the relationship between IGF-I CA19 repeat polymorphisms and cancer risk.
- To clarify the controversial findings regarding IGF-I CA19 repeat polymorphisms and cancer susceptibility.
Main Methods:
- Meta-analysis of 18 studies including 9,873 cancer patients and 15,607 controls.
- Utilized random-effects models to pool odds ratios (OR) for various genetic models (recessive, dominant, homozygote, heterozygote).
- Performed subgroup analyses, focusing on the recessive model, for specific cancers and populations.
Main Results:
- Overall meta-analysis did not show a significant association between IGF-I CA19 repeat polymorphisms and cancer risk across all models.
- Recessive genetic model: pooled OR = 0.69 (95% CI = 0.60-0.79).
- Subgroup analysis (recessive model) indicated a reduced risk in breast cancer (OR = 0.65), prostate cancer (OR = 0.68), and Caucasian populations (OR = 0.71).
Conclusions:
- IGF-I CA19 repeat polymorphisms are generally not a significant determinant of overall cancer susceptibility.
- Evidence suggests a potential protective effect of IGF-I CA19 repeat polymorphisms against specific cancers (e.g., breast, prostate) and in Caucasian populations under a recessive genetic model.
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