Haanen, J.B.

Polymorphisms in endothelial nitric oxide synthase (eNOS) and vascular endothelial growth factor (VEGF) predict sunitinib-induced hypertension (Article)

2012-10-01T00:00:00Z

Hypertension is an important side effect of sunitinib treatment. In a retrospective study in 255 patients, single-nucleotide polymorphisms (SNPs) in vascular endothelial growth factor A (VEGFA), vascular endothelial growth factor receptor (VEGFR)-2, endothelin-1 (ET-1), and endothelium-derived nitric oxide synthase (eNOS) were multivariately tested against hypertension grades and changes in systolic blood pressure (SBP), diastolic BP (DBP), and mean arterial BP (MAP). Next, the association between hypertension and survival in patients with metastatic renal cell cancer (mRCC) was studied. Greater elevations in SBP and MAP were associated with the presence of a haplotype in VEGFA (P = 0.014 and P = 0.036, respectively). The tendency to develop grade 3 hypertension was associated with this haplotype and also with a SNP in eNOS (P = 0.031 and P = 0.045, respectively). In mRCC patients, sunitinib-induced hypertension was found to confer a survival benefit, with the mean overall survival being prolonged by 7.2 months (P = 0.035 and P = 0.026 for SBP and DBP elevations, respectively). Genetic polymorphisms in VEGFA and eNOS independently predict rise in BP and/or development of severe hypertension in sunitinib-treated patients. Grade 3 hypertension was found to be an independent factor for overall survival in patients with mRCC.

Genetic polymorphisms associated with a prolonged progression-free survival in patients with metastatic renal cell cancer treated with sunitinib (Article)

2011-02-01T00:00:00Z

Purpose: The objective of this study was to identify genetic polymorphisms related to the pharmacokinetics and pharmacodynamics of sunitinib that are associated with a prolonged progression-free survival (PFS) and/or overall survival (OS) in patients with clear-cell metastatic renal cell cancer (mRCC) treated with sunitinib. Experimental design: A retrospective multicenter pharmacogenetic association study was performed in 136 clear-cell mRCC patients treated with sunitinib. A total of 30 polymorphisms in 11 candidate genes, together with clinical characteristics were tested univariately for association with PFS as primary and OS as secondary outcome. Candidate variables with P < 0.1 were analyzed in a multivariate Cox regression model. Results: Multivariate analysis showed that PFS was significantly improved when an A-allele was present in CYP3A5 6986A/G [hazard ratio (HR), 0.27; P = 0.032], a CAT copy was absent in the NR1I3 haplotype (5719C/T, 7738A/C, 7837T/G; HR, 1.76; P = 0.017) and a TCG copy was present in the ABCB1 haplotype (3435C/T, 1236C/T, 2677G/T; HR, 0.52; P = 0.033). Carriers with a favorable genetic profile (n = 95) had an improved PFS and OS as compared with noncarriers (median PFS and OS: 13.1 versus 7.5 months and 19.9 versus 12.3 months). Next to the genetic variants, the Memorial Sloan-Kettering Cancer Center prognostic criteria were associated with PFS and OS (HR, 1.99 and 2.27; P < 0.001). Conclusions: This exploratory study shows that genetic polymorphisms in three genes involved in sunitinib pharmacokinetics are associated with PFS in mRCC patients treated with this drug. These findings advocate prospective validation and further elucidation of these genetic determinants in relation to sunitinib exposure and efficacy.

Two-protein signature of novel serological markers apolipoprotein-A2 and serum amyloid alpha predicts prognosis in patients with metastatic renal cell cancer and improves the currently used prognostic survival models (Article)

2010-12-01T00:00:00Z

Background: In metastatic renal cell cancer (mRCC), the Memorial Sloan-Kettering Cancer Center (MSKCC) risk model is widely used for clinical trial design and patient management. To improve prognostication, we applied proteomics to identify novel serological proteins associated with overall survival (OS). Patients and methods: Sera from 114 mRCC patients were screened by surface-enhanced laser desorption ionization time-of-flight mass spectrometry (SELDI-TOF MS). Identified proteins were related to OS. Three proteins were subsequently validated with enzyme-linked immunosorbent assays and immunoturbidimetry. Prognostic models were statistically bootstrapped to correct for overestimation. Results: SELDI-TOF MS detected 10 proteins associated with OS. Of these, apolipoprotein A2 (ApoA2), serum amyloid alpha (SAA) and transthyretin were validated for their association with OS (P = 5.5×10-9, P = 1.1×0-7 and P = 0.0004, respectively). Combining ApoA2 and SAA yielded a prognostic two-protein signature [Akaike's Information Criteria (AIC) = 732, P = 5.2×10-7]. Including previously identified prognostic factors, multivariable Cox regression analysis revealed ApoA2, SAA, lactate dehydrogenase, performance status and number of metastasis sites as independent factors for survival. Using these five factors, categorization of patients into three risk groups generated a novel protein-based model predicting patient prognosis (AIC = 713, P = 4.3×10-11) more robustly than the MSKCC model (AIC = 729, P = 1.3×10-7). Applying this protein-based model instead of the MSKCC model would have changed the risk group in 38% of the patients. Conclusions: Proteomics and subsequent validation yielded two novel prognostic markers and survival models which improved prediction of OS in mRCC patients over commonly used risk models. Implementation of these models has the potential to improve current risk stratification, although prospective validation will still be necessary.

Myelosuppression by sunitinib is flt-3 genotype dependent (Article)

2010-08-01T00:00:00Z