Association of Polymorphisms in Intercellular Adhesion Molecule 1 (ICAM-1) Gene with Cancer Susceptibility: A Meta-Analysis of 14 Case-Control Studies
Xiaolong Zhang, Junjie Huang, Jian Bai, Wei Lu, Meng Zhang, Hongbing Mei
College of Life Science, University of Chinese Academy of Sciences, Beijing, China (mainland)
Med Sci Monit 2016; 22:569-579
Many epidemiology studies have indicated that polymorphisms in ICAM-1 are associated with a variety of cancers, but published data are contradictory and inconclusive. Therefore, we conducted the current meta-analysis to elaborate the effects of ICAM-1 polymorphisms (rs5491, rs3093030, rs281432, and rs1799969) on cancer susceptibility.
MATERIAL AND METHODS: We conducted a comprehensive literature search in PubMed, Web of Science, and Google Scholar. Odds ratios (ORs) with 95% confidence intervals (CIs) were estimated to assess the association between ICAM-1 polymorphisms and cancer susceptibility.
RESULTS: We enrolled 14 published case-control studies including 4608 cancer cases and 4913 controls. We found an increased susceptibility of cancer in polymorphism rs1799969 (C vs. T: OR=1.662, 95%CI=1.288–2.143, p=0141; CT vs. TT: OR=1.860, 95%CI=1.398–2.474, p=0.507; CC+CT vs. TT: OR=1.812, 95%CI=1.373–2.391, p=0.284) of ICAM-1 among the overall population. However, no association between polymorphisms rs5491, rs3093030, or rs281432 of ICAM-1 and cancer susceptibility was identified. In the stratification analysis by ethnicity, we identified an increased susceptibility for Asians in rs3093030 polymorphism (CC vs. TC+TT: OR=1.728, 95% CI=1.234–2.421, p=0.787).
CONCLUSIONS: Our results suggest that the ICAM-1 polymorphism rs1799969 is significantly associated with increased susceptibility to overall cancer. Further studies (preferably prospective) are warranted to validate these relationships.
Keywords: Genetic Association Studies, Case-Control Studies, Genetic Predisposition to Disease, Intercellular Adhesion Molecule-1 - genetics, Neoplasms - genetics, Odds Ratio, Polymorphism, Single Nucleotide - genetics, Publication Bias