Prognostic Significance of Overexpressed p16INK4a in Patients with Cervical Cancer: A Meta-AnalysisReport as inadecuate




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Background

p16INK4a is a tumor suppressor protein which is induced in cells upon the interaction of high-risk HPV E7 with the retinoblastoma protein by a positive feedback loop, but cannot exert its suppressing effect. Previous reports suggested that p16INK4a immunostaining allows precise identification of even small CIN or cervical cancer lesions in biopsies. The prognostic value of overexpressed p16INK4a in cervical cancer has been evaluated for several years while the results remain controversial. We performed a systematic review and meta-analysis of studies assessing the clinical and prognostic significance of overexpression of p16INK4a in cervical cancer.

Methods

Identification and review of publications assessing clinical or prognostic significance of p16INK4a overexpression in cervical cancer until March 1, 2014. A meta-analysis was performed to clarify the association between p16INK4a overexpression and clinical outcomes.

Results

A total of 15 publications met the criteria and comprised 1633 cases. Analysis of these data showed that p16INK4a overexpression was not significantly associated with tumor TNM staging I+II vs. III+IV OR = 0.75, 95% confidence interval CI: 0.35–1.63, P = 0.47, the tumor grade G1+ G2 vs. G3 OR = 0.78, 95% CI: 0.39–1.57, P = 0.49, the tumor size <4 vs. ≥4 cm OR = 1.10, 95% CI: 0.45–2.69, P = 0.83, or vascular invasion OR = 1.20, 95% CI: 0.69–2.08, P = 0.52. However, in the identified studies, overexpression of p16INK4a was highly correlated with no lymph node metastasis OR = 0.51, 95% CI: 0.28–0.95, P = 0.04, increased overall survival relative risk RR: 0.42, 95% CI: 0.24–0.72, P = 0.002 and increased disease free survival RR: 0.60, 95% CI: 0.44–0.82, P = 0.001.

Conclusions

This meta-analysis shows overexpression of p16INK4a in cervical cancer is connected with increased overall and disease free survival and thus marks a better prognosis.



Author: Jiaying Lin, Andreas E. Albers, Jinbao Qin, Andreas M. Kaufmann

Source: http://plos.srce.hr/



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