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Human papillomavirus 16 infection as a potential risk factor for prostate cancer: an adaptive meta-analysis

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영문명
발행기관
한국역학회
저자명
Jong Myon Bae
간행물 정보
『Epidemiology and Health』37, 1~9쪽, 전체 8쪽
주제분류
의약학 > 면역학
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발행일자
2015.05.30
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OBJECTIVES: Although an expert review published in 2013 concluded that an association between human papillomavirus (HPV) infection and prostate cancer (PCa) risk had not yet been firmly established, a 2011 sys-tematic review of 14 articles revealed an increased prevalence of HPV-16 DNA in PCa tissues. Another meta-analysis of the related articles is needed to evaluate the potential link between HPV infection and PCa risk. METHODS: A snowballing search strategy was applied to the previously cited articles in the above-mentioned expert review and systematic review. Additional articles selected for this meta-analysis should fulfill all follow-ing inclusion criteria: (a) evaluation of detected HPV-16 DNA in tissue samples and the PCa risk and (b) re-port of the HPV-16 prevalence in both cancer and control tissues. Estimated summary odds ratios (sOR) with 95% confidence intervals (CI) were calculated using fixed effect or random-effect models. RESULTS: Hand searching identified 16 new articles. The sOR of the total 30 articles indicated a significant HPV-16 infection-related increase in the PCa risk (sOR, 1.851; 95% CI, 1.353 to 2.532, I2 = 37.82%). CONCLUSIONS: These facts provide additional supportive evidence for a causal role of HPV-16 infection in prostate carcinogenesis. As the PCa incidence rates have increased rapidly in Asian countries, including Korea, during the last several decades, further studies of HPV-related PCa carcinogenesis may be necessary.

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Abstract
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
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APA

Jong Myon Bae. (2015).Human papillomavirus 16 infection as a potential risk factor for prostate cancer: an adaptive meta-analysis. Epidemiology and Health, 37 , 1-9

MLA

Jong Myon Bae. "Human papillomavirus 16 infection as a potential risk factor for prostate cancer: an adaptive meta-analysis." Epidemiology and Health, 37.(2015): 1-9

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