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Proliferating Cell Nuclear Antigen Has an Association with Prognosis and Risks Factors of Cancer Patients: a Systematic Review.

Abstract
Proliferating cell nuclear antigen (PCNA) is reported as a famous marker in various tumors. A couple of articles have been published about the clinical function of PCNA on cancer progression; however, these results are conflicting in some degree. Thus, it is crucial to perform a systematic review and meta-analysis to identify their real actions. Here, we took cervical cancer and glioma as example and then pooled hazard ratios (HRs) or odds ratios (ORs) with 95 % confidence intervals (95 % CIs). In the present study, the PCNA expression in cervical cancer and gliomas patients was both correlated with 5-year-overall survival (OS) (HR = 4.41, 95 % CI 2.71-7.17, p = 0.000; HR = 4.40, 95 % CI 3.00-6.47, p = 0.000; respectively). In addition, a fixed effect model revealed a significant association between PCNA and FIGO stage (OR = 4.48, 95 % CI 3.48-5.77, p = 0.000) or WHO grade (OR = 5.64, 95 % CI 4.15-7.68, p = 0.000), rather than age (OR = 1.01, 95 % CI 0.71-1.43, p = 0.957; OR = 1.00, 95 % CI 0.80-1.24, p = 0.989; respectively). No heterogeneity was observed across all studies. According to funnel plot, no publication bias was reported. In conclusion, our systematic review suggests that PCNA expression is significantly associated with poor 5-year survival, advanced stage or higher WHO grade, which might be suggested as a useful prognostic and diagnostic biomarker, or an effective therapy target in cervical cancer, gliomas, or even more cancers.
AuthorsQiongying Lv, Juan Zhang, Yuexiong Yi, Yue Huang, Yong Wang, Yijun Wang, Wei Zhang
JournalMolecular neurobiology (Mol Neurobiol) Vol. 53 Issue 9 Pg. 6209-6217 (11 2016) ISSN: 1559-1182 [Electronic] United States
PMID26558632 (Publication Type: Journal Article, Meta-Analysis, Review, Systematic Review)
Chemical References
  • Proliferating Cell Nuclear Antigen
Topics
  • Humans
  • Neoplasms (metabolism)
  • Prognosis
  • Proliferating Cell Nuclear Antigen (metabolism)
  • Publication Bias
  • Risk Factors
  • Survival Analysis

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