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Prognostic significance of p16 INK4a alteration in soft tissue sarcomas: A meta-analysis.
Indian Journal of Cancer 2017 July
PURPOSE: Numerous studies have investigated the role of p16INK4a alteration in patients with soft tissue sarcomas (STSs) yielding inconsistent and inconclusive results. Hence, we conducted a meta-analysis to precisely assess its prognostic value.
MATERIALS AND METHODS: Electronic literature databases such as PubMed, EMBASE, Web of Science were searched, and five studies with a total of 536 patients were eligible for this meta-analysis. Pooled hazard ratio (HR) with 95% confidence interval (95% CI) of overall survival (OS) was used to assess the prognostic role of p16INK4a alteration.
RESULTS: Overall, the pooled HR for all five eligible studies evaluating decreased p16INK4a expression on OS was 1.47 (95% CI: 1.14-1.90); sensitivity analysis suggested that the pooled HR was stable and omitting a single study did not change the significance of the pooled HR. There is no evidence of publication bias in the meta-analysis.
CONCLUSIONS: In conclusion, this meta-analysis showed that decreased p16INK4a expression is associated with lower OS rate in patients with STS, and it is an effective biomarker of prognosis.
MATERIALS AND METHODS: Electronic literature databases such as PubMed, EMBASE, Web of Science were searched, and five studies with a total of 536 patients were eligible for this meta-analysis. Pooled hazard ratio (HR) with 95% confidence interval (95% CI) of overall survival (OS) was used to assess the prognostic role of p16INK4a alteration.
RESULTS: Overall, the pooled HR for all five eligible studies evaluating decreased p16INK4a expression on OS was 1.47 (95% CI: 1.14-1.90); sensitivity analysis suggested that the pooled HR was stable and omitting a single study did not change the significance of the pooled HR. There is no evidence of publication bias in the meta-analysis.
CONCLUSIONS: In conclusion, this meta-analysis showed that decreased p16INK4a expression is associated with lower OS rate in patients with STS, and it is an effective biomarker of prognosis.
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