ArticleThe pharmacogenomics journal2018
Genetic polymorphisms as predictive biomarker of survival in patients with gastrointestinal stromal tumors treated with sunitinib.
Article in The pharmacogenomics journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 15 citations in OpenAlex.
- Association Study of OATP1B3 Polymorphisms on Hepatic Uptake and Drug-Drug InteractionACS omega · 2025Article
- ETV1 genetic polymorphisms as a candidate prognosis biomarker of Gastrointestinal stromal tumor.Cancer chemotherapy and pharmacology · 2025Article
- Organic anion transporting polypeptides: Pharmacology, toxicology, structure, and transport mechanisms.Pharmacological reviews · 2025Review
- Exploring nanotechnology solutions for improved outcomes in gastrointestinal stromal tumors.Heliyon · 2024Review
- Thai pharmacogenomics database -2 (TPGxD-2) sequel to TPGxD-1, analyzing genetic variants in 26 non-VIPGx genes within the Thai population.Clinical and translational science · 2024Article
- Impact of genetic variants in the solute carrier (Cancer drug resistance (Alhambra, Calif.) · 2024Review
- Review
- Pharmacogenomics Biomarkers of Soft Tissue Sarcoma Therapies.Frontiers in oncology · 2020Review
- Somatic pharmacogenomics of gastrointestinal stromal tumor.Cancer drug resistance (Alhambra, Calif.) · 2019Review
- Article
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Authors and funding
10 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aimed to identify single-nucleotide polymorphisms (SNPs) that are associated with outcome to treatment with sunitinib in patients with advanced gastrointestinal stromal tumors (GIST). Forty-nine SNPS involved in the pharmacokinetic and pharmacodynamic pathway of sunitinib were associated with progression-free survival (PFS) and overall survival (OS) in 127 patients with advanced GIST who have been treated with sunitinib. PFS was significantly longer in carriers of the TT genotype in POR rs1056878 (hazards ratio (HR) 4.310, 95% confidence interval (CI):1.457-12.746, P=0.008). The presence of the T-allele in SLCO1B3 rs4149117 (HR 2.024, 95% CI:1.013-4.044, P=0.046), the CCC-CCC alleles in SLC22A5 haplotype (HR 2.603, 95% CI: 1.216-5.573, P=0.014), and the GC-GC alleles in the IL4 R haplotype (HR 7.131, 95% CI:1.518-33.496, P=0.013) were predictive for OS. This shows that polymorphisms in the pharmacokinetic and pharmacodynamic pathways of sunitinib are associated with survival in GIST. This may help to identify patients that benefit more from treatment with sunitinib.
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