ArticleThe pharmacogenomics journal2020
Polymorphisms of NF-κB pathway genes influence adverse drug reactions of gefitinib in NSCLC patients.
Article in The pharmacogenomics journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.
- Genetic Variants in theGenes · 2024Pooled it
- Systematic review on genetic polymorphisms associated with idiosyncratic drug-induced liver injury (iDILI): iDILInet as an interactive visualization tool.Acta pharmaceutica Sinica. B · 2026Article
- Race, Ethnicity, and Pharmacogenomic Variation in the United States and the United Kingdom.Pharmaceutics · 2023Article
- Article
- IKBKB rs2272736 is Associated with Gastric Cancer Survival.Pharmacogenomics and personalized medicine · 2020Article
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gefitinib is a widely used targeted therapeutic drug in East Asian non-small cell lung cancer (NSCLC) patients. This research retrospectively investigated the relationship between the polymorphisms of genes involved in NF-κB pathways and gefitinib-related Adverse Drug Reactions (ADRs). From 2011 to 2016, 109 NSCLC patients were enrolled in this study. Thirty-two SNPs of 15 genes were genotyped with a Sequenom MassARRAY system. We collected 34 paired RNA samples before and after gefitinib administration for the detection of whole blood RNA expression of genes in NF-κB pathways (NFKBIA, NFKB1, NFKB2, RELA, RELB, and TNFAIP3). IKBKB rs2272733 (CC vs non-CC: OR = 0.256, 95% CI 0.087-0.753, P = 0.013) and IKBKE rs12142086 (CC vs non-CC: OR = 3.640, 95% CI 1.320-10.039, P = 0.013) were significantly associated with gefitinib-induced skin toxicity. IKBKE rs2151222 was associated with diarrhea with the odds ratio of non-TT vs TT as 0.162 (non-TT vs TT: 95% CI 0.034-0.775, P = 0.023). Furthermore, RELA rs11227247 was a predictor for hepatic toxicity (GG vs non-GG: OR = 0.212, 95% CI 0.062-0.726, P = 0.013). None of the gene expression levels after drug administration were determined to be significant predictors for adverse drug reactions by a logistics regression analysis. Polymorphisms of IKBKB, IKBKE, and RELA are potential biomarkers for predicting gefitinib-related ADRs. Further studies are needed to understand the underlying mechanisms for diagnostic and prophylactic therapy applications.
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