OncoTargets and Therapy (May 2017)

Clinicopathological significance of p14ARF expression in lung cancer: a meta-analysis

  • Wang F,
  • Li H,
  • Long J,
  • Ye S

Journal volume & issue
Vol. Volume 10
pp. 2491 – 2499

Abstract

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Fang Wang, Heping Li, Jianting Long, Sheng Ye Department of Oncology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou City, Guangdong Province, People’s Republic of China Background: p14ARF, a tumor suppressor protein, encoded by the p16 tumor suppressor gene, has been reported to be associated with the clinicopathological features of lung cancer. However, the evaluated outcomes were inconsistent and remained inconclusive. In this study, we conducted a meta-analysis to clarify the significance of p14ARF expression in lung cancer pathogenesis. Materials and methods: Electronic databases, PubMed, Web of Knowledge, Embase, and CNKI, were retrieved to collect relevant articles with inclusion and exclusion criteria. Using Stata 12.0 software, 95% confidence intervals (CIs) and odds ratios (ORs) were calculated. Results: A total of 15 eligible case–control studies that evaluated the relationship between p14ARF expression and lung cancer were included in the meta-analysis. The results demonstrated that there were significant associations between p14ARF expression and the risk of non-small-cell lung cancer (NSCLC), lung adenocarcinoma, and lung squamous carcinoma (for NSCLC, OR =11.02, 95% CI =5.30–22.92; for lung adenocarcinoma, OR =7.28, 95% CI =3.92–13.50; and for lung squamous carcinoma, OR =14.40, 95% CI =2.83–73.24). In the stratified analysis based on race, significant associations between p14ARF expression and lung cancer risk were found in Chinese population and Caucasians (for Chinese population, OR = 7.02, 95% CI =4.48–11.00 and for Caucasians, OR =4.19, 95% CI =1.42–12.38). Furthermore, the expression of p14ARF was significantly associated with the TNM-stage of lung cancer in Chinese population (OR =2.07, 95% CI =1.38–3.10). Conclusion: p14ARF expression was significantly associated with the risk of lung cancer. In addition, the data of the meta-analysis showed that there was a significant correlation between p14ARF expression and the TNM-stage of lung cancer in Chinese population. Keywords: p14ARF, expression, lung cancer, meta-analysis

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