British Journal of Cancer · 2013 · 94 citations · 16 references
MedicineOncologyPharmacologyMetastasisPharmacogeneticsPharmacogenomicsCancer GenomicsCancer PharmacogenomicsKidney CancerMalignant NeoplasmsMetastatic Disease TreatmentRenal Cell CarcinomaCox RegressionMetastatic Renal Cell Carcinoma TherapyRenal Cell Carcinoma BiomarkersRenal Cell Carcinoma Susceptibility GenesSingle-nucleotide Polymorphism Risk AnalysisSingle-nucleotide PolymorphismsVascular Endothelial Growth Factor InhibitionVegfr Inhibitors
BACKGROUND: There are no validated markers that predict response in metastatic renal cell cancer (RCC) patients treated with sunitinib. We aim to study the impact of single-nucleotide polymorphisms (SNPs) that have recently been proposed as predictors of outcome to anti-VEGF-targeted therapy in metastatic RCC in an independent cohort of patients. METHODS: We genotyped 16 key SNPs in 10 genes involved in sunitinib pharmacokinetics, pharmacodynamics and VEGF-independent angiogenesis in patients with metastatic clear-cell RCC treated with sunitinib as the first-line targeted therapy. Association between SNPs, progression-free survival (PFS) and overall survival (OS) were studied by multivariate Cox regression using relevant clinical factors associated with PFS and OS as covariates. RESULTS: In a series of 88 patients, both PFS and OS were associated significantly with SNP rs1128503 in ABCB1 (P=0.027 and P=0.025), rs4073054 in NR1/3 (P=0.025 and P=0.035) and rs307821 in VEGFR3 (P=0.032 and P=0.011). Progression-free survival alone was associated with rs2981582 in FGFR2 (P=0.031) and rs2276707 in NR1/2 (P=0.047), whereas OS alone was associated with rs2307424 in NR1/3 (P=0.048) and rs307826 in VEGFR3 (P=0.013). CONCLUSION: Our results confirm former communications regarding the association between SNPs in ABCB1, NR1/2, NR1/3 and VEGFR3 and sunitinib outcome in clear-cell RCC. Prospective validation of these SNPs is now required.
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