Knowledge Network Node

Meta-analysis on association between smoking and p53 gene mutation in patients with lung cancerChinese Full Text

LIN Xue-jun;YAN Kang-kang;ZHAO Long-yu;BAO Hong-hong;LI Shuang;LIU Xiao-dong;LIU Xin;Department of Epidemiology and Health Statistics,School of Public Health,Jilin University;Key Laboratory of Radiobiology,Ministry of Health,School of Public Health,Jilin University;

Abstract: Objective To evaluate the relationship between smoking and p53 gene mutation in the lung cancer patients with Meta-analysis.Methods PubMed,Web of Science,ProQest and Medline were used to search all the relevant studies about the association between smoking and p53 gene mutation in the patients with lung cancer.Based on reviewing full text,the studies were selected and evaluated and the data was extracted.Statistical analysis was performed with Stata 12.0software including the heterogeneity inspection,publication bias assessment,sensitivity analysis,effect consolidating and cumulative Meta-analysis.Results Totally 15 articles with 1 770 lung cancer patients were identified.69.6% of the patients were smokers,30.4% were non-smokers.Overall,the smokers with lung cancer had a 2.70-fold higher risk for p53 gene mutation than the non-smokers with lung cancer(OR=2.70,95%CI=2.04-3.59).Conclusion p53 gene mutation is associated with smoking in the patients with lung cancer.The smokers with lung cancer have higher risk for p53 mutation than non-smokers.
  • DOI:

    10.13481/j.1671-587x.20140527

  • Series:

  • Subject:

  • Classification Code:

    R734.2

  • Mobile Reading
    Read on your phone instantly
    Step 1

    Scan QR Codes

    "Mobile CNKI-CNKI Express" App

    Step 2

    Open“CNKI Express”

    and click the scan icon in the upper left corner of the homepage.

    Step 3

    Scan QR Codes

    Read this article on your phone.

  • HTML
  • CAJ Download
  • PDF Download

Download the mobile appuse the app to scan this coderead the article.

Tips: Please download CAJViewer to view CAJ format full text.

Download: 341 Page: 1046-1050 Pagecount: 5 Size: 263K

Related Literature
  • Similar Article
  • Reader Recommendation
  • Associated Author