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Review
. 2014 Aug 15;7(9):6091-6.
eCollection 2014.

P16INK4a overexpression and survival in osteosarcoma patients: a meta analysis

Jie Bu  1 , Hui Li  1 , Li-Hong Liu  1 , Yu-Rong Ouyang  1 , Hong-Bin Guo  1 , Xiao-Yang Li  1 , Tao Xiao  1
Affiliations
Review

P16INK4a overexpression and survival in osteosarcoma patients: a meta analysis

Jie Bu et al. Int J Clin Exp Pathol. .

Abstract

Osteosarcoma is one of the most common primary bone malignancies. Although there is a significant improvement of survival on osteosarcoma patients in the past decades, treatment of osteosarcoma is still unsatisfactory for the development of pulmonary metastasis. The potential prognostic value of p16(INK4a) in osteosarcoma has been investigated, however, the results from different studies were somewhat controversial. To elucidate whether p16(INK4a) is indeed a prognostic factor of osteosarcoma, we conducted a meta-analysis of the published literatures to provide a comprehensive evaluation of the significance of p16(INK4a) expression in patients with osteosarcoma. Eight studies with a total of 354 patients with osteosarcoma were examined. The pooled odds ratio (OR) with corresponding 95% confidence interval (95% CI) was calculated to evaluate the effect of p16(INK4a) expression on overall survival. Meta-analysis showed that patients with high p16(INK4a) expression were significantly associated with favourable overall survival when compared to their counterparts with low or undetectable p16(INK4a) expression (OR = 0.270, 95% CI 0.162-0.451, P < 0.001). Sensitivity analysis suggested the pooled OR was stable and not significantly changed when a single study was removed. In conclusion, the results from this meta-analysis highlight that p16(INK4a) is an effective biomarker of survival in patients with osteosarcoma.

Keywords: Osteosarcoma P16INK4a expression; meta-analysis; survival.

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Figures

Figure 1
Figure 1
Forest plot showed the meta-analysis of the effect of p16INK4a expression on the overall survival rate.
Figure 2
Figure 2
Forest plot for the sensitivity analysis in the meta-analysis.
Figure 3
Figure 3
Funnel plot in the meta-analysis of the effect of p16INK4a expression on the overall survival rate.
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