title: Positive association between IL-16 rs1131445 polymorphism and cancer risk: a meta-analysis.
abstract: BACKGROUND
  The association between IL-16 rs1131445 polymorphism and cancer risk is not consistent or even contradictory, this meta-analysis aims to investigate the role of IL-16 gene rs1131445 polymorphisms in the risk of cancer.
  
  
  METHODS
  A comprehensive online search was conducted in PubMed, EMBASE and CNKI databases to identify eligible studies. The case-control studies related IL-16 rs1131445 C/T polymorphism with the cancer susceptibility were selected according to the inclusion and exclusion criteria. After extracting the basic data information and quality of literature evaluation, the meta-analysis was performed by using STATA 12.0 software, with calculating odds ratio and 95% confidence interval, and further subgroup analysis, literature publication bias test and sensitivity analysis.
  
  
  RESULTS
  There are totally 1677 cases and 1989 non-tumor controls finally involved. Meta-analysis showed that there are statistical correlations between the IL-16 rs1131445 C/T polymorphism and the cancer risk in Asian populations (TS vs. C, OR=0.80, 95%CI: 0.73-0.88; TT vs. TC, OR=0.75, 95%CI: 0.65-0.87; TT vs. CC, OR=0.69, 95% CI: 0.56-0.84; CC+TC vs. TT, OR=1.36, 95%CI: 1.19-1.55; CC vs. TC+TT, OR=1.27, 95%CI: 1.05-1.53) (all P<0.05).
  
  
  CONCLUSIONS
  IL-16 rs1131445 C/T polymorphism is related to the susceptibility to cancer in Asians, suggesting that the C allelic gene of rs1131445 is significantly associated with an increasing cancer risk.
authors: Department of Gastrointestinal Surgery, the Second Affiliated Hospital of Nanchang University, Nanchang, China - 517295653@qq.com.
authors: Fang-Teng
authors: FT
authors: Liu
authors: Pei-Qian
authors: PQ
authors: Zhu
authors: Yang-Xi
authors: YX
authors: Ou
authors: Wan-Wei
authors: WW
authors: Liu
authors: Guang-Feng
authors: GF
authors: Xia
authors: Hong-Liang
authors: HL
authors: Luo
mesh_terms: D000483:Alleles; D044466:Asian People / Q000235:genetics / Q000706:statistics & numerical data; D014408:Biomarkers, Tumor / Q000235:genetics*; D003596:Cytosine; D016208:Databases, Factual; D019317:Evidence-Based Medicine; D020022:Genetic Predisposition to Disease; D006801:Humans; D019410:Interleukin-16 / Q000235:genetics*; D009369:Neoplasms / Q000175:diagnosis / Q000208:ethnology* / Q000235:genetics*; D020641:Polymorphism, Single Nucleotide; D011237:Predictive Value of Tests; D018570:Risk Assessment; D012307:Risk Factors; D012680:Sensitivity and Specificity; D013941:Thymine
chemical_list: D014408:Biomarkers, Tumor; D019410:Interleukin-16; D003596:Cytosine; D013941:Thymine