Literature DB >> 28430711

Evaluation of KDR rs34231037 as a predictor of sunitinib efficacy in patients with metastatic renal cell carcinoma.

María Apellániz-Ruiz1, Meta H Diekstra, Juan M Roldán, Epie Boven, Daniel Castellano, Hans Gelderblom, Ron H J Mathijssen, Jesse J Swen, Stefan Böhringer, Jesús García-Donás, Brian I Rini, Henk-Jan Guchelaar, Cristina Rodríguez-Antona.   

Abstract

The identification of biomarkers able to predict clinical benefit from vascular endothelial growth factor receptor (VEGFR) tyrosine kinase inhibitors is urgently needed. Recently, Maitland and colleagues described an association between KDR-rs34231037 and soluble VEGFR2 levels as well as pazopanib pharmacodynamics. We investigated in a well-characterized series of metastatic clear cell renal cell carcinoma patients whether rs34231037 could influence sunitinib response. Clinical data and DNA were available from an international series of 276 patients. KDR-rs34231037 association with sunitinib response, clinical benefit, and progression-free survival was analyzed using logistic and Cox regression analyses. We found that G-allele carriers were over-represented among patients with clinical benefit during sunitinib treatment compared with those refractory to the treatment (odds ratio: 3.78; 95% confidence interval: 1.02-14.06; P=0.047, multivariable analysis). In conclusion, rs34231037 variant carriers seemed to have better sunitinib response than wild-type patients. Moreover, the association with tumor size reduction suggests that this single nucleotide polymorphism might also identify patients with successful tumor downsizing under anti-VEGFR therapy.

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Year:  2017        PMID: 28430711     DOI: 10.1097/FPC.0000000000000280

Source DB:  PubMed          Journal:  Pharmacogenet Genomics        ISSN: 1744-6872            Impact factor:   2.089


  5 in total

1.  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

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

Authors:  Carmen Garrigós; Marta Espinosa; Ana Salinas; Ignacio Osman; Rafael Medina; Miguel Taron; Sonia Molina-Pinelo; Ignacio Duran
Journal:  Oncotarget       Date:  2017-11-20

3.  Population Modeling Integrating Pharmacokinetics, Pharmacodynamics, Pharmacogenetics, and Clinical Outcome in Patients With Sunitinib-Treated Cancer.

Authors:  M H Diekstra; A Fritsch; F Kanefendt; J J Swen; Djar Moes; F Sörgel; M Kinzig; C Stelzer; D Schindele; T Gauler; S Hauser; D Houtsma; M Roessler; B Moritz; K Mross; L Bergmann; E Oosterwijk; L A Kiemeney; H J Guchelaar; U Jaehde
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2017-07-13

Review 4.  Biomarkers of Prognosis and Efficacy of Anti-angiogenic Therapy in Metastatic Clear Cell Renal Cancer.

Authors:  Carmine D'Aniello; Massimiliano Berretta; Carla Cavaliere; Sabrina Rossetti; Bianca Arianna Facchini; Gelsomina Iovane; Giovanna Mollo; Mariagrazia Capasso; Chiara Della Pepa; Laura Pesce; Davide D'Errico; Carlo Buonerba; Giuseppe Di Lorenzo; Salvatore Pisconti; Ferdinando De Vita; Gaetano Facchini
Journal:  Front Oncol       Date:  2019-12-11       Impact factor: 6.244

5.  Genetic Polymorphisms in VEGFR Coding Genes (FLT1/KDR) on Ranibizumab Response in High Myopia and Choroidal Neovascularization Patients.

Authors:  David Blánquez-Martínez; Xando Díaz-Villamarín; Sonia García-Rodríguez; Alba Antúnez-Rodríguez; Ana Pozo-Agundo; Luis Javier Martínez-González; José Ignacio Muñoz-Ávila; Cristina Lucía Dávila-Fajardo
Journal:  Pharmaceutics       Date:  2022-07-26       Impact factor: 6.525

  5 in total

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