ArticleClinical and experimental medicine2020
CYP4F2 and CYP3A5 gene polymorphisms and lung cancer in Chinese Han population.
Article in Clinical and experimental medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 7 citations in OpenAlex.
- sc2DAT: workflow for targeting tumor subpopulations of single cells.Bioinformatics advances · 2025Article
- Suggestive evidence of CYP4F2 gene polymorphisms with HAPE susceptibility in the Chinese Han population.PloS one · 2023Article
- Genetic Variants ofPharmacogenomics and personalized medicine · 2023Article
- A 13-Gene Metabolic Prognostic Signature Is Associated With Clinical and Immune Features in Stomach Adenocarcinoma.Frontiers in oncology · 2021Article
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Authors and funding
9 authors at 3 institutions in 1 country.
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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.
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