We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
Functional promoter -31G/C variant of Survivin gene predict prostate cancer susceptibility among Chinese: a case control study.
- Authors
Jiawei Chen; Xinhai Cui; Hai Zhou; Chao Qin; Qiang Cao; Xiaobing Ju; Pu Li; Hongzhou Cai; Jian Zhu; Xiaoxin Meng; Meilin Wang; Zhengdong Zhang; Pengfei Shao; Jie Li; Changjun Yin; Chen, Jiawei; Cui, Xinhai; Zhou, Hai; Qin, Chao; Cao, Qiang
- Abstract
<bold>Background: </bold>Abnormal expression of Baculoviral inhibitor of apoptosis repeat-containing 5 (BIRC5, also called as survivin), a novel member of the inhibitor of apoptosis protein (IAP) family, has implications in many types of cancer and is considered as a new therapeutic target. We suppose that genetic variant rs9904341 in the 5' UTR region of survivin gene may be associated with the development and progression of prostate cancer (PCa) in Chinese population.<bold>Methods: </bold>TaqMan assay method was used to genotype the polymorphism in the hospital-based case-control analysis of 665 patients with PCa and 710 age-matched cancer-free controls. The genetic associations with the occurrence and progression of PCa were calculated by logistic regression.<bold>Results: </bold>Our results indicated that compared with GG genotypes, there was a statistically significant increased risk of PCa associated with those with CC genotypes [odds ratios (ORs) = 1.57, 95%confidence intervals (CIs) = 1.17-2.13, P = 0.004]. Moreover, stratification analysis revealed that the association was more pronounced in subgroups of nondrinkers, nonsmokers and those without a family history of cancer (all P < 0.05). In addition, we observed that PSA ≥ 20 was more frequent in patients carrying GC/CC genotypes than in those with a wild type genotype.<bold>Conclusion: </bold>The functional survivin rs9904341 genetic variant may have a substantial influence on the PCa susceptibility and evolution.
- Subjects
BACULOVIRUSES; APOPTOSIS; PROSTATE cancer; CHINESE people; CANCER genetics; LOGISTIC regression analysis; DISEASES
- Publication
BMC Cancer, 2013, Vol 13, Issue 1, p1
- ISSN
1471-2407
- Publication type
journal article
- DOI
10.1186/1471-2407-13-356