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Association between P16INK4a Promoter Methylation and Non-Small Cell Lung Cancer: A Meta-Analysis

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  • Jundong Gu
  • Yanjun Wen
  • Siwei Zhu
  • Feng Hua
  • Hui Zhao
  • Hongrui Xu
  • Jiacong You
  • Linlin Sun
  • Weiqiang Wang
  • Jun Chen
  • Qinghua Zhou

Abstract

Background: Aberrant methylation of CpG islands acquired in tumor cells in promoter regions plays an important role in carcinogenesis. Accumulated evidence demonstrates P16INK4a gene promoter hypermethylation is involved in non-small cell lung carcinoma (NSCLC), indicating it may be a potential biomarker for this disease. The aim of this study is to evaluate the frequency of P16INK4a gene promoter methylation between cancer tissue and autologous controls by summarizing published studies. Methods: By searching Medline, EMBSE and CNKI databases, the open published studies about P16INK4a gene promoter methylation and NSCLC were identified using a systematic search strategy. The pooled odds of P16INK4A promoter methylation in lung cancer tissue versus autologous controls were calculated by meta-analysis method. Results: Thirty-four studies, including 2 652 NSCLC patients with 5 175 samples were included in this meta-analysis. Generally, the frequency of P16INK4A promoter methylation ranged from 17% to 80% (median 44%) in the lung cancer tissue and 0 to 80% (median 15%) in the autologous controls, which indicated the methylation frequency in cancer tissue was much higher than that in autologous samples. We also find a strong and significant correlation between tumor tissue and autologous controls of P16INK4A promoter methylation frequency across studies (Correlation coefficient 0.71, 95% CI:0.51–0.83, P

Suggested Citation

  • Jundong Gu & Yanjun Wen & Siwei Zhu & Feng Hua & Hui Zhao & Hongrui Xu & Jiacong You & Linlin Sun & Weiqiang Wang & Jun Chen & Qinghua Zhou, 2013. "Association between P16INK4a Promoter Methylation and Non-Small Cell Lung Cancer: A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 8(4), pages 1-10, April.
    • Handle: RePEc:plo:pone00:0060107
    DOI: 10.1371/journal.pone.0060107
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    1. Ludovic Trinquart & Adeline Abbé & Philippe Ravaud, 2012. "Impact of Reporting Bias in Network Meta-Analysis of Antidepressant Placebo-Controlled Trials," PLOS ONE, Public Library of Science, vol. 7(4), pages 1-8, April.
    2. Nur Sabrina Sapari & Marie Loh & Aparna Vaithilingam & Richie Soong, 2012. "Clinical Potential of DNA Methylation in Gastric Cancer: A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 7(4), pages 1-8, April.
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    Cited by:

    1. Chihao Shao & Wenzhu Dai & Haili Li & Wenru Tang & Shuting Jia & Xiaoming Wu & Ying Luo, 2017. "The relationship between RASSF1A gene promoter methylation and the susceptibility and prognosis of melanoma: A meta-analysis and bioinformatics," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-12, February.

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