Literature DB >> 25411163

Identification of a variant in KDR associated with serum VEGFR2 and pharmacodynamics of Pazopanib.

Michael L Maitland1, Chun-Fang Xu2, Yu-Ching Cheng3, Emily Kistner-Griffin4, Kathleen A Ryan3, Theodore G Karrison5, Soma Das6, Dara Torgerson7, Eric R Gamazon8, Vasiliki Thomeas9, Matthew R Levine9, Paul A Wilson10, Nan Bing11, Yuan Liu12, Lon R Cardon13, Lini N Pandite14, Jeffrey R O'Connell3, Nancy J Cox15, Braxton D Mitchell3, Mark J Ratain16, Alan R Shuldiner17.   

Abstract

PURPOSE: VEGF receptor (VEGFR) kinases are important drug targets in oncology that affect function of systemic endothelial cells. To discover genetic markers that affect VEGFR inhibitor pharmacodynamics, we performed a genome-wide association study of serum soluble vascular VEGFR2 concentrations [sVEGFR2], a pharmacodynamic biomarker for VEGFR2 inhibitors. EXPERIMENTAL
DESIGN: We conducted a genome-wide association study (GWAS) of [sVEGFR2] in 736 healthy Old Order Amish volunteers. Gene variants identified from the GWAS were genotyped serially in a cohort of 128 patients with advanced solid tumor with baseline [sVEGFR2] measurements, and in 121 patients with renal carcinoma with [sVEGFR2] measured before and during pazopanib therapy.
RESULTS: rs34231037 (C482R) in KDR, the gene encoding sVEGFR2 was found to be highly associated with [sVEGFR2], explaining 23% of the variance (P = 2.7 × 10(-37)). Association of rs34231037 with [sVEGFR2] was replicated in 128 patients with cancer with comparable effect size (P = 0.025). Furthermore, rs34231037 was a significant predictor of changes in [sVEGFR2] in response to pazopanib (P = 0.01).
CONCLUSION: Our findings suggest that genome-wide analysis of phenotypes in healthy populations can expedite identification of candidate pharmacogenetic markers. Genotyping for germline variants in KDR may have clinical utility in identifying patients with cancer with unusual sensitivity to effects of VEGFR2 kinase inhibitors. ©2014 American Association for Cancer Research.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 25411163      PMCID: PMC4323272          DOI: 10.1158/1078-0432.CCR-14-1683

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  39 in total

1.  Pazopanib for metastatic soft-tissue sarcoma (PALETTE): a randomised, double-blind, placebo-controlled phase 3 trial.

Authors:  Winette T A van der Graaf; Jean-Yves Blay; Sant P Chawla; Dong-Wan Kim; Binh Bui-Nguyen; Paolo G Casali; Patrick Schöffski; Massimo Aglietta; Arthur P Staddon; Yasuo Beppu; Axel Le Cesne; Hans Gelderblom; Ian R Judson; Nobuhito Araki; Monia Ouali; Sandrine Marreaud; Rachel Hodge; Mohammed R Dewji; Corneel Coens; George D Demetri; Christopher D Fletcher; Angelo Paolo Dei Tos; Peter Hohenberger
Journal:  Lancet       Date:  2012-05-16       Impact factor: 79.321

2.  Chromosome variability and geographic distribution in insects.

Authors:  B John; K R Lewis
Journal:  Science       Date:  1966-05-06       Impact factor: 47.728

3.  Plasma cytokine and angiogenic factor profiling identifies markers associated with tumor shrinkage in early-stage non-small cell lung cancer patients treated with pazopanib.

Authors:  Petros G Nikolinakos; Nasser Altorki; David Yankelevitz; Hai T Tran; Shaoyu Yan; Dilip Rajagopalan; Walter Bordogna; Lone H Ottesen; John V Heymach
Journal:  Cancer Res       Date:  2010-03-09       Impact factor: 12.701

4.  Biomarkers as predictors of response to treatment with motesanib in patients with progressive advanced thyroid cancer.

Authors:  Michael B Bass; Steven I Sherman; Martin J Schlumberger; Martn J Schlumberger; Michael T Davis; Lisa Kivman; Huan-Mei Khoo; Kimberly H Notari; Matthew Peach; Yong-Jiang Hei; Scott D Patterson
Journal:  J Clin Endocrinol Metab       Date:  2010-08-25       Impact factor: 5.958

5.  Biomarkers predicting outcome in patients with advanced renal cell carcinoma: Results from sorafenib phase III Treatment Approaches in Renal Cancer Global Evaluation Trial.

Authors:  Carol Peña; Chetan Lathia; Minghua Shan; Bernard Escudier; Ronald M Bukowski
Journal:  Clin Cancer Res       Date:  2010-07-22       Impact factor: 12.531

6.  Fetal liver kinase 1 is a receptor for vascular endothelial growth factor and is selectively expressed in vascular endothelium.

Authors:  T P Quinn; K G Peters; C De Vries; N Ferrara; L T Williams
Journal:  Proc Natl Acad Sci U S A       Date:  1993-08-15       Impact factor: 11.205

7.  Axitinib is an active treatment for all histologic subtypes of advanced thyroid cancer: results from a phase II study.

Authors:  Ezra E W Cohen; Lee S Rosen; Everett E Vokes; Merrill S Kies; Arlene A Forastiere; Francis P Worden; Madeleine A Kane; Eric Sherman; Sinil Kim; Paul Bycott; Michael Tortorici; David R Shalinsky; Katherine F Liau; Roger B Cohen
Journal:  J Clin Oncol       Date:  2008-06-09       Impact factor: 44.544

8.  Multiple circulating proangiogenic factors induced by sunitinib malate are tumor-independent and correlate with antitumor efficacy.

Authors:  John M L Ebos; Christina R Lee; James G Christensen; Anthony J Mutsaers; Robert S Kerbel
Journal:  Proc Natl Acad Sci U S A       Date:  2007-10-17       Impact factor: 11.205

Review 9.  Clinical implementation of germ line cancer pharmacogenetic variants during the next-generation sequencing era.

Authors:  N K Gillis; J N Patel; F Innocenti
Journal:  Clin Pharmacol Ther       Date:  2013-10-17       Impact factor: 6.875

10.  Suppressed NFAT-dependent VEGFR1 expression and constitutive VEGFR2 signaling in infantile hemangioma.

Authors:  Masatoshi Jinnin; Damian Medici; Lucy Park; Nisha Limaye; Yanqiu Liu; Elisa Boscolo; Joyce Bischoff; Miikka Vikkula; Eileen Boye; Bjorn R Olsen
Journal:  Nat Med       Date:  2008-10-19       Impact factor: 53.440

View more
  15 in total

1.  Confidentiality in Biobanking Research: A Comparison of Donor and Nondonor Families' Understanding of Risks.

Authors:  Laura A Siminoff; Maureen Wilson-Genderson; Maghboeba Mosavel; Laura Barker; Jennifer Trgina; Heather M Traino
Journal:  Genet Test Mol Biomarkers       Date:  2017-01-25

Review 2.  Predictive biomarker candidates to delineate efficacy of antiangiogenic treatment in renal cell carcinoma.

Authors:  N Romero-Laorden; B Doger; M Hernandez; C Hernandez; J F Rodriguez-Moreno; J Garcia-Donas
Journal:  Clin Transl Oncol       Date:  2015-07-14       Impact factor: 3.405

3.  Sunitinib: Ten Years of Successful Clinical Use and Study in Advanced Renal Cell Carcinoma.

Authors:  Robert J Motzer; Bernard Escudier; Andrew Gannon; Robert A Figlin
Journal:  Oncologist       Date:  2016-11-02

4.  Serum C-Telopeptide Collagen Crosslinks and Plasma Soluble VEGFR2 as Pharmacodynamic Biomarkers in a Trial of Sequentially Administered Sunitinib and Cilengitide.

Authors:  Peter H O'Donnell; Sanja Karovic; Theodore G Karrison; Linda Janisch; Matthew R Levine; Pamela J Harris; Blase N Polite; Ezra E W Cohen; Gini F Fleming; Mark J Ratain; Michael L Maitland
Journal:  Clin Cancer Res       Date:  2015-07-21       Impact factor: 12.531

5.  Concise synthesis and biological activity evaluation of novel pyrazinyl-aryl urea derivatives against several cancer cell lines, which can especially induce T24 apoptotic and necroptotic cell death.

Authors:  Jia-Nian Chen; Chu-Ting Chen; Yue-Zhen He; Tai-Sheng Qin; Li Cheng; Ye-Xiang Sun; Kang-Jian Yang; Qi Chen; Chao Yang; Ying Wei
Journal:  RSC Med Chem       Date:  2021-11-11

Review 6.  Precision Medicine: An Optimal Approach to Patient Care in Renal Cell Carcinoma.

Authors:  Revati Sharma; George Kannourakis; Prashanth Prithviraj; Nuzhat Ahmed
Journal:  Front Med (Lausanne)       Date:  2022-06-14

Review 7.  Bevacizumab-induced hypertension: Clinical presentation and molecular understanding.

Authors:  Megan Li; Deanna L Kroetz
Journal:  Pharmacol Ther       Date:  2017-09-04       Impact factor: 12.310

Review 8.  PharmGKB summary: pazopanib pathway, pharmacokinetics.

Authors:  Caroline F Thorn; Manish R Sharma; Russ B Altman; Teri E Klein
Journal:  Pharmacogenet Genomics       Date:  2017-08       Impact factor: 2.089

9.  A Phase I Trial of the MET/ALK/ROS1 Inhibitor Crizotinib Combined with the VEGF Inhibitor Pazopanib in Patients with Advanced Solid Malignancies.

Authors:  Sarina A Piha-Paul; Ecaterina E Dumbrava; Binoj C Nair; Wendy Xiong; Li Xu; Rosa Mostorino; Vivek Subbiah; Nizar Tannir; Siqing Fu; Aung Naing; Filip Janku; Daniel D Karp; Shreyaskumar Patel; Najat C Daw; David Hong; Funda Meric-Bernstam; Ralph Zinner
Journal:  Onco Targets Ther       Date:  2021-05-07       Impact factor: 4.147

10.  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
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.