Dataset Information

Functional PTGS2 polymorphism-based models as novel predictive markers in metastatic renal cell carcinoma patients receiving first-line sunitinib.

ABSTRACT: Sunitinib is the currently standard treatment for metastatic renal cell carcinoma (mRCC). Multiple candidate predictive biomarkers for sunitinib response have been evaluated but none of them has been implemented in the clinic yet. The aim of this study was to analyze single nucleotide polymorphisms (SNPs) in genes linked to mode of action of sunitinib and immune response as biomarkers for mRCC. This is a multicenter, prospective and observational study involving 20 hospitals. Seventy-five mRCC patients treated with sunitinib as first line were used to assess the impact of 63 SNPs in 31 candidate genes on clinical outcome. rs2243250 (IL4) and rs5275 (PTGS2) were found to be significantly associated with shorter cancer-specific survival (CSS). Moreover, allele C (rs5275) was associated with higher PTGS2 expression level confirming its functional role. Combination of rs5275 and rs7651265 or rs2243250 for progression free survival (PFS) or CSS, respectively, was a more valuable predictive biomarker remaining significant after correction for multiple testing. It is the first time that association of rs5275 with survival in mRCC patients is described. Two-SNP models containing this functional variant may serve as more predictive biomarkers for sunitinib and could suppose a clinically relevant tool to improve the mRCC patient management.

SUBMITTER: Cebrian A

PROVIDER: S-EPMC5259767 | biostudies-literature | 2017 Jan

REPOSITORIES: biostudies-literature

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Functional PTGS2 polymorphism-based models as novel predictive markers in metastatic renal cell carcinoma patients receiving first-line sunitinib.

Cebrián Arancha A Gómez Del Pulgar Teresa T Méndez-Vidal María José MJ Gonzálvez María Luisa ML Lainez Nuria N Castellano Daniel D García-Carbonero Iciar I Esteban Emilio E Sáez Maria Isabel MI Villatoro Rosa R Suárez Cristina C Carrato Alfredo A Munárriz-Ferrándiz Javier J Basterrechea Laura L García-Alonso Mirta M González-Larriba José Luis JL Perez-Valderrama Begoña B Cruz-Jurado Josefina J González Del Alba Aránzazu A Moreno Fernando F Reynés Gaspar G Rodríguez-Remírez María M Boni Valentina V Mahillo-Fernández Ignacio I Martin Yolanda Y Viqueira Andrea A García-Foncillas Jesús J

Scientific reports 20170124

Sunitinib is the currently standard treatment for metastatic renal cell carcinoma (mRCC). Multiple candidate predictive biomarkers for sunitinib response have been evaluated but none of them has been implemented in the clinic yet. The aim of this study was to analyze single nucleotide polymorphisms (SNPs) in genes linked to mode of action of sunitinib and immune response as biomarkers for mRCC. This is a multicenter, prospective and observational study involving 20 hospitals. Seventy-five mRCC p ...[more]

PMID: 28117391

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Project description:ImportanceRecently, new drugs have been approved for the first-line treatment of metastatic renal cell carcinoma (mRCC). Nivolumab plus ipilimumab significantly increases overall survival for intermediate- and poor-risk patients with mRCC. However, considering the high cost of nivolumab plus ipilimumab, there is a need to assess its value by considering both efficacy and cost.ObjectiveTo evaluate the cost-effectiveness of nivolumab plus ipilimumab vs sunitinib in the first-line setting for intermediate- and poor-risk patients with mRCC from the US payer perspective.Design, setting, and participantsA Markov model was developed to compare the lifetime cost and effectiveness of nivolumab plus ipilimumab vs sunitinib in the first-line treatment of mRCC using outcomes data from the CheckMate 214 phase 3 randomized clinical trial, which included 1096 patients with mRCC (median age, 62 years) and compared nivolumab plus ipilimumab vs sunitinib as first-line treatment of mRCC. In the analysis, patients were modeled to receive sunitinib or nivolumab plus ipilimumab for 4 doses followed by nivolumab monotherapy.Main outcomes and measuresLife-years, quality-adjusted life-years (QALYs), and lifetime costs were estimated, at a willingness-to-pay threshold of $100 000 to $150 000 per QALY. Univariable, 2-way, and probabilistic sensitivity analyses were performed to evaluate the model uncertainty. Additional subgroup analyses were performed.ResultsNivolumab plus ipilimumab provided an additional 0.96 QALYs, at a cost of $108 363 per QALY. Sensitivity analyses found the results to be most sensitive to overall survival hazard ratio (0.63; 95% CI, 0.44-0.89) and mean patient weight (70 kg, range, 40-200 kg). Other variables, such as the cost of nivolumab plus ipilimumab (mean, $32 213.44; range, $25 770.75-$38 656.13), utility values for nivolumab plus ipilimumab (mean, 0.82; range, 0.65-0.98), and proportion receiving nivolumab in sunitinib arm (mean, 0.27; range, 0.22-0.32), had a moderate or minor influence on model results. Subgroup analyses demonstrated that nivolumab plus ipilimumab was most cost-effective for patients with programmed cell death 1 ligand 1 expression of at least 1% ($86 390 per QALY).Conclusions and relevanceIn this model, nivolumab plus ipilimumab was estimated to be cost-effective compared with sunitinib for intermediate- and poor-risk patients with mRCC at a willingness-to-pay threshold from $100 000 to $150 000 per QALY.

Project description:BACKGROUND:Anlotinib is a tyrosine kinase inhibitor inhibiting angiogenesis. This multicenter, randomized phase II trial aimed to investigate the efficacy and safety of anlotinib in comparison with sunitinib as first-line treatment for patients with metastatic renal cell carcinoma (mRCC). MATERIALS AND METHODS:Patients with mRCC from 13 clinical centers were randomly assigned in a 2:1 ratio to receive anlotinib (n = 90) or sunitinib (n = 43). Anlotinib was given orally at a dose of 12 mg once daily (2 weeks on/1 week off), and sunitinib was given orally at 50 mg once daily (4 weeks on/2 weeks off). The primary endpoint was progression-free survival (PFS). Secondary endpoints included overall survival (OS), objective response rate (ORR), disease control rate (DCR), and safety. RESULTS:The median PFS was similar with anlotinib and sunitinib (17.5 vs. 16.6 months, p > .05). The median OS (30.9 vs. 30.5 months, p > .05), ORR (30.3% vs. 27.9%), and 6-week DCR (97.8% vs. 93.0%) were similar in the two groups. Adverse events (AEs) of grade 3 or 4 were significantly less frequent with anlotinib than with sunitinib (28.9% vs. 55.8%, p < .01), especially in terms of thrombocytopenia and neutropenia. AEs occurring at a lower frequency with anlotinib were hand-foot syndrome, eyelid edema, hair depigmentation, skin yellowing, neutropenia, thrombocytopenia, and anemia. The incidence of serious AEs was lower with anlotinib than with sunitinib. CONCLUSION:The clinical efficacy of anlotinib was similar to that of sunitinib as the first-line treatment for mRCC, but with a more favorable safety profile. IMPLICATIONS FOR PRACTICE:This study evaluated the efficacy and safety of anlotinib for the first-line treatment of metastatic renal cell carcinoma. Anlotinib, which was developed independently in China, is a new tyrosine kinase inhibitor inhibiting multiple kinases involved in angiogenesis and tumor proliferation. Results indicated that the efficacy of anlotinib is comparable to and the safety is better than that of sunitinib.

Project description:BackgroundMetastatic renal cell carcinoma (RCC) patients are commonly treated with vascular endothelial growth factor (VEGF) inhibitors or mammalian target of rapamycin inhibitors. Correlations between somatic mutations and first-line targeted therapy outcomes have not been reported on a randomized trial.ObjectiveTo evaluate the relationship between tumor mutations and treatment outcomes in RECORD-3, a randomized trial comparing first-line everolimus (mTOR inhibitor) followed by sunitinib (VEGF inhibitor) at progression with the opposite sequence in 471 metastatic RCC patients.Design, setting, and participantsTargeted sequencing of 341 cancer genes at ∼540× coverage was performed on available tumor samples from 258 patients; 220 with clear cell histology (ccRCC).Outcome measurements and statistical analysisAssociations between somatic mutations and median first-line progression free survival (PFS1L) and overall survival were determined in metastatic ccRCC using Cox proportional hazards models and log-rank tests.Results and limitationsPrevalent mutations (≥ 10%) were VHL (75%), PBRM1 (46%), SETD2 (30%), BAP1 (19%), KDM5C (15%), and PTEN (12%). With first-line everolimus, PBRM1 and BAP1 mutations were associated with longer (median [95% confidence interval {CI}] 12.8 [8.1, 18.4] vs 5.5 [3.1, 8.4] mo) and shorter (median [95% CI] 4.9 [2.9, 8.1] vs 10.5 [7.3, 12.9] mo) PFS1L, respectively. With first-line sunitinib, KDM5C mutations were associated with longer PFS1L (median [95% CI] of 20.6 [12.4, 27.3] vs 8.3 [7.8, 11.0] mo). Molecular subgroups of metastatic ccRCC based on PBRM1, BAP1, and KDM5C mutations could have predictive values for patients treated with VEGF or mTOR inhibitors. Most tumor DNA was obtained from primary nephrectomy samples (94%), which could impact correlation statistics.ConclusionsPBRM1, BAP1, and KDM5C mutations impact outcomes of targeted therapies in metastatic ccRCC patients.Patient summaryLarge-scale genomic kidney cancer studies reported novel mutations and heterogeneous features among individual tumors, which could contribute to varied clinical outcomes. We demonstrated correlations between somatic mutations and treatment outcomes in clear cell renal cell carcinoma, supporting the value of genomic classification in prospective studies.

Dataset Information

Functional PTGS2 polymorphism-based models as novel predictive markers in metastatic renal cell carcinoma patients receiving first-line sunitinib.

Publications

Functional PTGS2 polymorphism-based models as novel predictive markers in metastatic renal cell carcinoma patients receiving first-line sunitinib.

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