Literature DB >> 19755512

Preclinical biomarkers for a cyclin-dependent kinase inhibitor translate to candidate pharmacodynamic biomarkers in phase I patients.

Windy Berkofsky-Fessler1, Tri Q Nguyen, Paul Delmar, Juliette Molnos, Charu Kanwal, Wanda DePinto, James Rosinski, Patricia McLoughlin, Steve Ritland, Mark DeMario, Krishna Tobon, John F Reidhaar-Olson, Ruediger Rueger, Holly Hilton.   

Abstract

A genomics-based approach to identify pharmacodynamic biomarkers was used for a cyclin-dependent kinase inhibitory drug. R547 is a potent cyclin-dependent kinase inhibitor with a potent antiproliferative effect at pharmacologically relevant doses and is currently in phase I clinical trials. Using preclinical data derived from microarray experiments, we identified pharmacodynamic biomarkers to test in blood samples from patients in clinical trials. These candidate biomarkers were chosen based on several criteria: relevance to the mechanism of action of R547, dose responsiveness in preclinical models, and measurable expression in blood samples. We identified 26 potential biomarkers of R547 action and tested their clinical validity in patient blood samples by quantitative real-time PCR analysis. Based on the results, eight genes (FLJ44342, CD86, EGR1, MKI67, CCNB1, JUN, HEXIM1, and PFAAP5) were selected as dose-responsive pharmacodynamic biomarkers for phase II clinical trials.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19755512     DOI: 10.1158/1535-7163.MCT-09-0083

Source DB:  PubMed          Journal:  Mol Cancer Ther        ISSN: 1535-7163            Impact factor:   6.261


  6 in total

Review 1.  Cyclin D as a therapeutic target in cancer.

Authors:  Elizabeth A Musgrove; C Elizabeth Caldon; Jane Barraclough; Andrew Stone; Robert L Sutherland
Journal:  Nat Rev Cancer       Date:  2011-07-07       Impact factor: 60.716

Review 2.  The CDK inhibitors in cancer research and therapy.

Authors:  Jonas Cicenas; Mindaugas Valius
Journal:  J Cancer Res Clin Oncol       Date:  2011-08-30       Impact factor: 4.553

3.  Assessment of network perturbation amplitudes by applying high-throughput data to causal biological networks.

Authors:  Florian Martin; Ty M Thomson; Alain Sewer; David A Drubin; Carole Mathis; Dirk Weisensee; Dexter Pratt; Julia Hoeng; Manuel C Peitsch
Journal:  BMC Syst Biol       Date:  2012-05-31

Review 4.  Strategic applications of gene expression: from drug discovery/development to bedside.

Authors:  Jane P F Bai; Alexander V Alekseyenko; Alexander Statnikov; I-Ming Wang; Peggy H Wong
Journal:  AAPS J       Date:  2013-01-15       Impact factor: 3.603

5.  A genomic approach to predict synergistic combinations for breast cancer treatment.

Authors:  R Soldi; A L Cohen; L Cheng; Y Sun; P J Moos; A H Bild
Journal:  Pharmacogenomics J       Date:  2011-11-15       Impact factor: 3.550

6.  Antiproliferative Activity of (-)-Isopulegol-based 1,3-Oxazine, 1,3-Thiazine and 2,4-Diaminopyrimidine Derivatives.

Authors:  Fatima Z Bamou; Tam M Le; Bizhar A Tayeb; Seyyed A S Tahaei; Renáta Minorics; István Zupkó; Zsolt Szakonyi
Journal:  ChemistryOpen       Date:  2022-10       Impact factor: 2.630

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.