Literature DB >> 22015057

Single nucleotide polymorphism associations with response and toxic effects in patients with advanced renal-cell carcinoma treated with first-line sunitinib: a multicentre, observational, prospective study.

Jesus Garcia-Donas1, Emilio Esteban, Luis Javier Leandro-García, Daniel E Castellano, Aranzazu González del Alba, Miguel Angel Climent, José Angel Arranz, Enrique Gallardo, Javier Puente, Joaquim Bellmunt, Begoña Mellado, Esther Martínez, Fernando Moreno, Albert Font, Mercedes Robledo, Cristina Rodríguez-Antona.   

Abstract

BACKGROUND: Sunitinib is a tyrosine kinase inhibitor with proven efficacy in renal-cell carcinoma, but some patients do not respond or need dose reductions due to toxicity. Because there are no validated molecular predictors of response or toxicity to sunitinib, we aimed to identify genetic markers predictive of outcome and toxic effects.
METHODS: In our observational, prospective study we enrolled previously untreated adults (≥ 18 years) with clear-cell renal-cell carcinoma at 15 institutions in the Spanish Oncology Genitourinary Group in Spain. Patients received sunitinib according to local practice guidelines. We assessed RECIST response, progression-free survival (PFS), overall survival, and toxicity of sunitinib with 16 key polymorphisms in nine genes: VEGFR2 (rs2305948 and rs1870377), VEGFR3 (rs307826, rs448012, and rs307821), PDGFR-α (rs35597368), VEGF-A (rs2010963, rs699947, and rs1570360), IL8 (rs1126647), CYP3A4 (rs2740574), CYP3A5 (rs776746), ABCB1 (rs1045642, rs1128503, and rs2032582), and ABCB2 (rs2231142). We assessed associations with efficacy and toxicity by use of univariable and multivariable analyses (with clinical factors associated with outcomes as covariates). We adjusted for multiplicity using the Bonferroni method; p values of less than 0·0031 before adjustment were deemed to still be significant after adjustment.
FINDINGS: We enrolled 101 patients between Oct 10, 2007, and Dec 13, 2010. 95 of these patients were included in toxicity analyses and 89 in the efficacy analyses. Two VEGFR3 missense polymorphisms were associated with reduced PFS with sunitinib on multivariable analysis: rs307826 (hazard ratio [HR] per allele 3·57, 1·75-7·30; p(unadjusted)=0·00049, p(adjusted)=0·0079) and rs307821 (3·31, 1·64-6·68; p(unadjusted)=0·00085, p(adjusted)=0·014). The CYP3A5*1 (rs776746) high metabolising allele was associated in a multivariable analysis with an increased risk of dose reductions due to toxicity (HR per allele 3·75, 1·67-8·41; p(unadjusted)=0·0014, p(adjusted)=0·022). No other SNPs were associated with sunitinib response or toxicity.
INTERPRETATION: Polymorphisms in VEGFR3 and CYP3A5*1 might be able to define a subset of patients with renal-cell carcinoma with decreased sunitinib response and tolerability. If confirmed, these results should promote interventional studies testing alternative therapeutic approaches for patients with such variants. FUNDING: Pfizer.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 22015057     DOI: 10.1016/S1470-2045(11)70266-2

Source DB:  PubMed          Journal:  Lancet Oncol        ISSN: 1470-2045            Impact factor:   41.316


  101 in total

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Review 2.  Circulating biomarkers in advanced renal cell carcinoma: clinical applications.

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Review 4.  Molecular marker for predicting treatment response in advanced renal cell carcinoma: does the promise fulfill clinical need?

Authors:  Michael Garcia-Roig; Nicolas Ortiz; Vinata Lokeshwar
Journal:  Curr Urol Rep       Date:  2014-01       Impact factor: 3.092

5.  Phase III Trial of Adjuvant Sunitinib in Patients with High-Risk Renal Cell Carcinoma: Exploratory Pharmacogenomic Analysis.

Authors:  Daniel J George; Jean-Francois Martini; Michael Staehler; Robert J Motzer; Ahmed Magheli; Frede Donskov; Bernard Escudier; Sherry Li; Michelle Casey; Olga Valota; Brigitte Laguerre; Allan J Pantuck; Hardev S Pandha; Anup Patel; Maria Lechuga; Alain Ravaud
Journal:  Clin Cancer Res       Date:  2018-11-06       Impact factor: 12.531

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Journal:  Nat Rev Urol       Date:  2015-06-30       Impact factor: 14.432

7.  Deep sequencing reveals microRNAs predictive of antiangiogenic drug response.

Authors:  Jesús García-Donas; Benoit Beuselinck; Lucía Inglada-Pérez; Osvaldo Graña; Patrick Schöffski; Agnieszka Wozniak; Oliver Bechter; Maria Apellániz-Ruiz; Luis Javier Leandro-García; Emilio Esteban; Daniel E Castellano; Aranzazu González Del Alba; Miguel Angel Climent; Susana Hernando; José Angel Arranz; Manuel Morente; David G Pisano; Mercedes Robledo; Cristina Rodriguez-Antona
Journal:  JCI Insight       Date:  2016-07-07

Review 8.  Precision medicine from the renal cancer genome.

Authors:  Yasser Riazalhosseini; Mark Lathrop
Journal:  Nat Rev Nephrol       Date:  2016-10-03       Impact factor: 28.314

9.  Population pharmacokinetics/pharmacodynamics of erlotinib and pharmacogenomic analysis of plasma and cerebrospinal fluid drug concentrations in Japanese patients with non-small cell lung cancer.

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Journal:  Clin Pharmacokinet       Date:  2013-07       Impact factor: 6.447

Review 10.  Prognostic Biomarkers for Response to Vascular Endothelial Growth Factor-Targeted Therapy for Renal Cell Carcinoma.

Authors:  Andrew G Winer; Robert J Motzer; A Ari Hakimi
Journal:  Urol Clin North Am       Date:  2015-10-31       Impact factor: 2.241

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