Genetic Variants in the ABCB1 and ABCG2 Gene Drug Transporters Involved in Gefitinib-Associated Adverse Reaction: A Systematic Review and Meta-Analysis.
Mariana Vieira MorauCecília Souto SeguinMarília Berlofa VisacriEder de Carvalho PincinatoPatricia MorielPublished in: Genes (2024)
This systematic review and meta-analysis aimed to verify the association between the genetic variants of adenosine triphosphate (ATP)-binding cassette subfamily B member 1 ( ABCB1 ) and ATP-binding cassette subfamily G member 2 ( ABCG2 ) genes and the presence and severity of gefitinib-associated adverse reactions. We systematically searched PubMed, Virtual Health Library/Bireme, Scopus, Embase, and Web of Science databases for relevant studies published up to February 2024. In total, five studies were included in the review. Additionally, eight genetic variants related to ABCB1 (rs1045642, rs1128503, rs2032582, and rs1025836) and ABCG2 (rs2231142, rs2231137, rs2622604, and 15622C>T) genes were analyzed. Meta-analysis showed a significant association between the ABCB1 gene rs1045642 TT genotype and presence of diarrhea (OR = 5.41, 95% CI: 1.38-21.14, I 2 = 0%), the ABCB1 gene rs1128503 TT genotype and CT + TT group and the presence of skin rash (OR = 4.37, 95% CI: 1.51-12.61, I 2 = 0% and OR = 6.99, 95%CI: 1.61-30.30, I 2 = 0%, respectively), and the ABCG2 gene rs2231142 CC genotype and presence of diarrhea (OR = 3.87, 95% CI: 1.53-9.84, I 2 = 39%). No ABCB1 or ABCG2 genes were positively associated with the severity of adverse reactions associated with gefitinib. In conclusion, this study showed that ABCB1 and ABCG2 variants are likely to exhibit clinical implications in predicting the presence of adverse reactions to gefitinib.
Keyphrases
- genome wide identification
- genome wide
- small cell lung cancer
- copy number
- systematic review
- epidermal growth factor receptor
- public health
- healthcare
- transcription factor
- computed tomography
- magnetic resonance imaging
- mental health
- machine learning
- genome wide analysis
- climate change
- magnetic resonance
- binding protein
- positron emission tomography
- dna binding
- tyrosine kinase
- irritable bowel syndrome
- dual energy
- artificial intelligence