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Health Science Journal

  • ISSN: 1108-7366
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Abstract

Comprehensive Association Analysis of 30 Single Nucleotide Polymorphisms Related with Metabolic Syndrome on Cancer Susceptibility in Japanese Population: A Case �?¢�?�?��?�?? Control Study

Cuneyd Parlayan, Shinobu Ikeda, Noriko Sato, Motoji Sawabe, Masaaki Muramatsu and Tomio Arai

Single nucleotide polymorphisms (SNPs) related with metabolic syndrome may influence cancer. Our study aimed to replicate association studies of 30 selected polymorphisms pertaining to 21 genes and cancer phenotypes in Japanese elderly population. All polymorphisms were determined by genotyping on the samples collected from 1503 consecutive autopsy cases registered in the Japanese SNPs for geriatric research (JGSNP) data base. Current study consisted of 807 (54%) males and 696 (46%) females with a mean age of 80.3 ± 8.9 years. Number of males with cancer was 520 (57%) and females 398 (43%) in total of 918 (61%) cancer present cases and 585 (39%) controls without cancer. Our pathological cancer phenotypes consisted of gastric cancer (n=178), lung cancer (n=163), colorectal (n=137) and others. Our results indicated that rs1800470 (P10L) located TGFβI gene has significant association with overall cancer (CT: CC adjusted odds ratio (OR) 95% confidence interval (95% CI)=1.386 (1.017 – 1.888), p=0.007, TT: CC adjusted OR (95% CI)=1.438 (1.106 – 1.870), p=0.039, CT + TT: CC, adjusted OR (95% CI)=1.421 (1.111 – 1.816), p=0.005), and also with lung cancer ( CT + TT: CC adjusted OR (95% CI)=1.562 (1.024 – 2.383), p=0.039) in all subjects. We also found rs2243250 located in IL4 gene is associated with elevated risk of acute leukemia (TT + CT: CC adjusted OR (95% CI)=2.286 (1.243 – 4.206), p = 0.008). Furthermore, rs2077647 on ESRI gene was associated with decreased risk of acute leukemia (GG + AG: AA, adjusted OR (95% CI)=0.516 (0.319 – 0.835), p=0.007). We found that rs1800470, rs2243250 and rs2077647 polymorphisms may influence cancer in Japanese elderly population. Our study warrants further confirmations with larger samples.