Association between microRNA-499 polymorphism and gastric cancer risk in Chinese population
| Autor: | Min Cai, Yitong Zhang, Dongqin Yang, Li Li, Jun Zhang, Fengtao Cheng, Jigang Qiu, Weihong Xu, Mingqing Zhang, Yanyun Ma, Yi Liu, Pei Min, Min Li, Wenshuai Li |
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| Rok vydání: | 2015 |
| Předmět: |
Genetic Markers
Male Risk China Cancer Research medicine.medical_specialty Genotype Single-nucleotide polymorphism Biology Bioinformatics Polymorphism Single Nucleotide Gastroenterology Asian People Stomach Neoplasms Internal medicine microRNA medicine Humans SNP Genetic Predisposition to Disease Radiology Nuclear Medicine and imaging Allele Alleles Chinese population Case-control study Hematology General Medicine Middle Aged Tumor Burden MicroRNAs Oncology Genetic marker Case-Control Studies Female |
| Zdroj: | Bulletin du Cancer. 102:973-978 |
| ISSN: | 0007-4551 |
| DOI: | 10.1016/j.bulcan.2015.09.012 |
| Popis: | Single-nucleotide polymorphisms in microRNAs are related to the occurrence, development and prognosis of cancer. The aim of the present study is to investigate the possible influence of the miR-499(rs3746444) polymorphism on the risk of gastric cancer in Chinese population. A total of 363 GC patients and 969 cancer-free controls were enrolled in this study. The genotypes were obtained using MassARRAY method. The results showed that, compared with T allele, C allele was associated with a significantly increased risk of GC (OR=1.491, 95% CI=1.155-1.923, P=0.002). Moreover, a significantly increased risk of GC in subjects with the TC genotype was observed (adjusted OR of 1.559, 95% CI=1.148-2.117, P=0.004), compared with the wide type TT. We also found that basically dominant model (TT vs. TC+CC) was suitable for the association between rs6513497 and the risk of GC (OR=1.568, 95% CI=1.173-2.097, P=0.002). However, the same association was also shown in males and females. Meanwhile, rs3746444 was associated with the tumor size of GC patients. The present study indicated that miR-499 rs3746444 might contribute to GC risk and this SNP could be developed as a biomarker for GC prediction. |
| Databáze: | OpenAIRE |
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