Dataset Information

Single nucleotide polymorphisms as prognostic and predictive biomarkers in renal cell carcinoma.

ABSTRACT: Despite major advances in the knowledge of the molecular basis of renal cell carcinoma, prognosis is still defined using clinical and pathological parameters. Moreover, no valid predictive biomarkers exist to help us selecting the best treatment for each patient. With these premises, we aimed to analyse the expression and to determine the prognostic and predictive value of 64 key single nucleotide polymorphisms in 18 genes related with angiogenesis or metabolism of antiangiogenics in two cohorts of patients with localized and advanced renal cell cancer treated at our institution. The presence of the selected single nucleotide polymorphisms was correlated with clinical features, disease free survival, overall survival and response rate. In patients with localized renal cell cancer, 5 of these polymorphisms in 3 genes involved in angiogenesis predicted for worse disease free survival (VEGFR2: rs10013228; PDGFRA: rs2228230) or shorter overall survival (VEGFR2: rs10013228; VEGFR3: rs6877011, rs307826) (p < 0.05). Rs2071559 in VEGFR2 showed a protective effect (p = 0.01). In the advanced setting, 5 SNPs determined inferior overall survival (IL8: rs2227543, PRKAR1B: rs9800958, PDGFRB: rs2302273; p = 0.05) or worse response rate (VEGFA: rs699947, rs3025010 p ? 0.01)). Additionally 1 single nucleotide polymorphism in VEGFB predicted for better response rate rs594942 (p = 0.03). Genetic analysis of renal cell carcinoma patients might provide valuable prognostic/predictive information. A set of SNPs in genes critical to angiogenesis and metabolism of antiangiogenics drugs seem to determine post-surgical outcomes and treatment response in our series.

SUBMITTER: Garrigos C

PROVIDER: S-EPMC5739755 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Single nucleotide polymorphisms as prognostic and predictive biomarkers in renal cell carcinoma.

Garrigós Carmen C Espinosa Marta M Salinas Ana A Osman Ignacio I Medina Rafael R Taron Miguel M Molina-Pinelo Sonia S Duran Ignacio I

Oncotarget 20171120 63

Despite major advances in the knowledge of the molecular basis of renal cell carcinoma, prognosis is still defined using clinical and pathological parameters. Moreover, no valid predictive biomarkers exist to help us selecting the best treatment for each patient. With these premises, we aimed to analyse the expression and to determine the prognostic and predictive value of 64 key single nucleotide polymorphisms in 18 genes related with angiogenesis or metabolism of antiangiogenics in two cohorts ...[more]

PMID: 29290970

Similar Datasets

Project description:Germline genetic polymorphisms might affect the risk of recurrence in patients with localised renal-cell carcinoma. We investigated the association between genetic polymorphisms and recurrence of renal-cell carcinoma.We analysed germline DNA samples extracted from patients with localised renal-cell carcinoma treated at the Dana-Farber/Harvard Cancer Center (Boston, MA, USA). We selected a discovery cohort from a prospective database at the Dana-Farber/Harvard Cancer Center and selected a validation cohort from department records at the Brigham and Women's Hospital (Boston, MA, USA). We validated the findings from the discovery cohort in the validation cohort. We genotyped 70 genes involved in the pathogenesis of renal-cell carcinoma (including the VHL/HIF/VEGF and PI3K/AKT/mTOR pathways, and genes involved in immune regulation and metabolism) for single nucleotide polymorphisms. We assessed the association between genotype and recurrence-free survival, adjusted for baseline characteristics, with the Cox proportional hazards model, the Kaplan-Meier method, and the log-rank test. We used a false discovery rate q value to adjust for multiple comparisons.We included 554 patients (403 in the discovery cohort and 151 in the validation cohort). We successfully genotyped 290 single nucleotide polymorphisms in the discovery cohort, but excluded five because they did not have a variant group for comparison. The polymorphism rs11762213, which causes a synonymous aminoacid change in MET (144G?A, located in exon 2), was associated with recurrence-free survival. Patients with one or two copies of the minor (risk) allele had an increased risk of recurrence or death (hazard ratio [HR] 1·86, 95% CI 1·17-2·95; p=0·0084) in multivariate analysis. Median recurrence-free survival for carriers of the risk allele was 19 months (95% CI 9-not reached) versus 50 months (95% CI 37-75) for patients without the risk allele. In the validation cohort the HR was 2·45 (95% CI 1·01-5·95; p=0·048).Patients with localised renal-cell carcinoma and the MET polymorphism rs11762213 might have an increased risk of recurrence after nephrectomy. If these results are further validated in a similar population, they could be incorporated into future prognostic instruments, potentially aiding the design of adjuvant clinical trials of MET inhibitors and management of renal-cell carcinoma.Conquer Cancer Foundation and American Society of Clinical Oncology (Career Development Award); The Trust Family Research Fund for Kidney Cancer; US National Institutes of Health, National Cancer Institute Kidney Cancer Specialized Program of Research Excellence.

Project description:Single nucleotide polymorphisms (SNPs) of vascular endothelial growth factor receptor (VEGFR) may have effects on the MAPK/ERK/STAT3 signaling pathway, and the resulting phenotypes may influence the response to sunitinib-targeted therapy for renal cell carcinoma. In order to test this hypothesis patients with advanced renal cell carcinoma treated with sunitinib, were enrolled in our study. Peripheral blood samples were used to run a polymerase chain reaction-restriction fragment length polymorphism protocol to type candidate nucleotide polymorphism loci (VEGFR1, VEGFR2 and VEGFR3). The samples were also used in western blots to determine p-MAPK/ERK/STAT3 protein expression levels. The clinical responses to treatment were recorded and then a logistic regression method was applied to analyze the correlation between polymorphism of loci and effectiveness of sunitinib therapy. According to a follow-up visit (on average after 15 months of treatment) there were 16 complete responses (CR), 29 partial responses (PR) and 23 stable disease (SD) and progression of disease (PD) cases. Tests were carried out for 5 SNPs: VEGFR1 (rs664393), VEGFR2 (rsl870377 and rs7667298) and VEGFR3 (rs448012 and rs72816988). Mutation rates of rsl870377 and rs448012 loci in the CR+PR group were lower than those in the SD+PD group. No such differences were found for the other 3 loci. Relative expression levels of p-MAPk, p-ERK and p-STAT3 in the CR+PR group were significantly lower than those in the SD+PD group (P<0.05). The median progression-free survival and overall survival (OS) in the CR+PR group were higher than those in the SD+PD group (P<0.001). The median OS of the TT rsl870377 genotype was higher than that of the AA genotype, and the median OS of the GG rs448012 genotype was higher than that of the CC genotype (P<0.001). It was concluded through a logistic regression model that rsl870377 (AA) and rs448012 (GG) are independent risk factors closely associated with the effectiveness of sunitinib-targeted therapy on renal cell carcinoma. VEGFR SNPs are able to mediate the MAPK/ERK/STAT3 signaling pathway and therefore influence the effectiveness of sunitinib-targeted therapy, which makes them possible new therapeutic targets.

Dataset Information

Single nucleotide polymorphisms as prognostic and predictive biomarkers in renal cell carcinoma.

Publications

Single nucleotide polymorphisms as prognostic and predictive biomarkers in renal cell carcinoma.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure