Epidemiol Health.  2015;37:e2015005. 10.4178/epih/e2015005.

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

• Bae JM

• KMID: 2380642
• DOI: http://doi.org/10.4178/epih/e2015005

Abstract

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 systematic 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 following inclusion criteria: (a) evaluation of detected HPV-16 DNA in tissue samples and the PCa risk and (b) report 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.

Keyword

Prostate neoplasms; Human papillomavirus 16; Risk factor; Meta-analysis; Oncogenic viruses

MeSH Terms

Asian Continental Ancestry Group
Carcinogenesis
DNA
Hand
Human papillomavirus 16*
Humans
Incidence
Korea
Odds Ratio
Oncogenic Viruses
Passive Cutaneous Anaphylaxis
Prevalence
Prostate
Prostatic Neoplasms*
Risk Factors*
DNA