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STAT3 and STAT6 polymorphisms predict the severity of adverse reactions in Chinese NSCLC patients receiving EGFR-TKIs therapy

Authors :
Wang, Yan
Qi, Huijie
Wang, Tianxiao
Zhang, Wenxin
Shi, Xiaojin
Zhan, Qiong
Li, Qunyi
Zhong, Mingkang
Publication Year :
2023
Publisher :
Taylor & Francis, 2023.

Abstract

A total of 162 non-small cell lung cancer (NSCLC) patients were divided into discovery (N = 68) and validation (N = 94) groups. Nine Janus kinase/Signal transducer and activator of transcription (JAK/STAT) pathway-related single nucleotide polymorphisms were selected to explore the potential associations between genetic polymorphisms and adverse drug reactions (ADRs). The TT genotype of STAT6 rs324011 was significantly associated with severe ADRs in the recessive genetic model (TT vs. CC + CT, OR = 13.5, 95% CI = 2.12–86.09, p = 0.006 in the discovery group; OR = 8.41, 95% CI = 1.95–36.19, p = 0.004 in the validation group). The T allele was associated with a higher incidence of severe ADRs than was the C allele of rs324011 (OR = 3.67, 95% CI = 1.46–9.19, p = 0.006 in the discovery group; OR = 3.17, 95% CI = 1.44–6.99, p = 0.004 in the validation group). Patients with the CC genotype in STAT3 rs1053023 (and rs1053005) or the TT genotype of STAT6 rs324011 were likely to experience severe epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) related ADRs. A graphical illustration of this study was shown in the Graphical Abstract. The current study process of nine critical SNPs involving the JAK/STAT pathway in Chinese NSCLC participants receiving EGFR-TKIs therapy was illustrated.

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....370e388a161e4980d04dcf233a4ddbce
Full Text :
https://doi.org/10.6084/m9.figshare.22778315.v1