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CYP4F2 and CYP3A5 gene polymorphisms and lung cancer in Chinese Han population

  • Ruiqing He
  • , Meng Li
  • , Anqi Li
  • , Wenhui Dang
  • , Tian Yang
  • , Jing Li
  • , Ning Zhang
  • , Tianbo Jin
  • , Mingwei Chen
  • The First Affiliated Hospital of Xi’an Jiaotong University
  • Shaanxi Provincial Research Center for the Project of Prevention and Treatment of Respiratory Diseases
  • Key Lab of the Ministry of Education for Process Control and Efficiency Egineering

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

This study aimed to explore whether the polymorphisms of CYP4F2 and CYP3A5 are correlated with the risk of lung cancer development. A case–control study was conducted among 510 patients with pathologically confirmed lung cancer as the case group and 504 healthy individuals as the control group. Four single-nucleotide polymorphisms of the CYP4F2 and CYP3A5 genes were genotyped, and their correlations with the risk of lung cancer were examined using Chi-square test and logistic regression analysis. Stratified analysis found that the rs3093105 and rs3093106 loci of CYP4F2 gene were significantly associated with lower risk of lung cancer (P = 0.012, OR 0.64, 95% CI 0.45–0.91). The correlation was related to patients’ age and sex and pathological type of lung cancer. Similarly, the rs10242455 loci of CYP3A5 gene showed a statistical significance between the case group and the control group (P = 0.018, OR 0.71, 95% CI 0.53–0.94), which also was associated with reduced risk of squamous cell lung cancer in the dominant and additive models (dominant: OR 0.66, 95% CI 0.46–0.94, P = 0.021; additive: OR 0.71, 95% CI 0.53–0.95, P = 0.023). CYP4F2 and CYP3A5 gene polymorphisms are associated with the reduced risk of non-small cell lung cancer, and its correlation is related to patients’ age and sex and pathological type of lung cancer.

Original languageEnglish
Pages (from-to)461-468
Number of pages8
JournalClinical and Experimental Medicine
Volume20
Issue number3
DOIs
StatePublished - 1 Aug 2020
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • CYP3A5
  • CYP4F2
  • Gene polymorphisms
  • Lung cancer

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