scholarly journals p27-V109G Polymorphism Is Not Associated with the Risk of Prostate Cancer: A Case-Control Study of Han Chinese Men in Central China

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Meng Zhang ◽  
Qianjun Liang ◽  
Ligang Zhang ◽  
Zongyao Hao ◽  
Jun Zhou ◽  
...  

Objective. We conducted an update meta-analysis aiming to verify the association between p27-V109G polymorphism and cancer risk, particular for prostate cancer (PCa). Then, we conducted a case-control study of Han Chinese in central China to verify the evidence-based results. Methods. Relevant studies were collected from diverse databases up to March 2017. In addition, a hospital-based (H-B) case-control study enrolling 90 PCa patients and 140 healthy controls was included to verify these evidence-based findings. Genetic risk was calculated by odds ratio (OR) with its corresponding 95% confidence interval (CI). The p27-V109G polymorphism was determined by MassARRAY genotyping method. Results. Finally, twenty-four published studies comprising 9627 cases and 12,102 controls were enrolled for the current meta-analysis. Overall analysis suggested that p27-V109G polymorphism decreased overall cancer risk in allelic contrast, heterozygote, and dominant models. When stratified analysis was conducted by ethnicity, data revealed that p27-V109G polymorphism was associated with a decreased cancer risk in Caucasians. Highlighted in the subgroup analysis by cancer type, we uncovered a significantly decreased risk of PCa in allelic contrast, dominant, homogeneous, and recessive models. However, in the validation case-control study, we failed to uncover a positive association between p27-V109G polymorphism and PCa risk. In addition, negative results were also identified when subgroup analyses were stratified by age, tumor grade, tumor stage, PSA levels, and other measurements. Conclusion. Although evidence-based results suggest that p27-V109G polymorphism plays a protective role in overall cancer risk, particularly for PCa, our case-control study failed to validate any association between this particular polymorphism and PCa risk.

2018 ◽  
Vol 38 (6) ◽  
Author(s):  
Bifeng Chen ◽  
Shang Wang ◽  
Guangxin Ma ◽  
Jin Han ◽  
Jingli Zhang ◽  
...  

How single nucleotide polymorphisms in long non-coding RNAs are involved in cancer susceptibility remains poorly understood. We hypothesized that polymerase II polypeptide E (POLR2E) rs3787016 polymorphism, identified in a genome-wide association study of prostate cancer, might be a common genetic risk factor for cancer risk. To address this issue, we here conducted a case–control study to investigate the association of POLR2E rs3787016 polymorphism with risk of liver and lung cancer (including 800 normal controls, 480 liver cancer patients, and 550 lung cancer patients), followed by a meta-analysis. The genotyping was performed by polymerase chain reaction-restriction fragment length polymorphism and confirmed by sequencing. Although no significant association was found for rs3787016 with risk of liver or lung cancer, the further stratified analysis identified that rs3787016 contributed to liver cancer risk particularly for over than 60 years individuals who drink. Moreover, the meta-analysis demonstrated that rs3787016 was associated with overall cancer risk and prostate cancer risk. Collectively, the POLR2E rs3787016 polymorphism may be a valuable biomarker for cancer predisposition.


2008 ◽  
Vol 17 (9) ◽  
pp. 2325-2336 ◽  
Author(s):  
Luisa Zuccolo ◽  
Ross Harris ◽  
David Gunnell ◽  
Steven Oliver ◽  
Jane Athene Lane ◽  
...  

2004 ◽  
Vol 90 (7) ◽  
pp. 1392-1396 ◽  
Author(s):  
N E Allen ◽  
J S Morris ◽  
R A Ngwenyama ◽  
T J Key

2018 ◽  
Vol 31 (4) ◽  
pp. 269-275 ◽  
Author(s):  
Giorgio Ivan Russo ◽  
Tatiana Solinas ◽  
Daniele Urzì ◽  
Salvatore Privitera ◽  
Daniele Campisi ◽  
...  

The Prostate ◽  
2010 ◽  
Vol 70 (10) ◽  
pp. 1054-1065 ◽  
Author(s):  
Sara Raimondi ◽  
Jihène Ben Mabrouk ◽  
Bryna Shatenstein ◽  
Patrick Maisonneuve ◽  
Parviz Ghadirian

2007 ◽  
Vol 43 (4) ◽  
pp. 775-781 ◽  
Author(s):  
Teemu J. Murtola ◽  
Teuvo L.J. Tammela ◽  
Liisa Määttänen ◽  
Matti Hakama ◽  
Anssi Auvinen

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