Ontology highlight
ABSTRACT:
SUBMITTER: Lawrence MG
PROVIDER: S-EPMC6351078 | biostudies-literature | 2018 Nov
REPOSITORIES: biostudies-literature
Lawrence Mitchell G MG Obinata Daisuke D Sandhu Shahneen S Selth Luke A LA Wong Stephen Q SQ Porter Laura H LH Lister Natalie N Pook David D Pezaro Carmel J CJ Goode David L DL Rebello Richard J RJ Clark Ashlee K AK Papargiris Melissa M Van Gramberg Jenna J Hanson Adrienne R AR Banks Patricia P Wang Hong H Niranjan Birunthi B Keerthikumar Shivakumar S Hedwards Shelley S Huglo Alisee A Yang Rendong R Henzler Christine C Li Yingming Y Lopez-Campos Fernando F Castro Elena E Toivanen Roxanne R Azad Arun A Bolton Damien D Goad Jeremy J Grummet Jeremy J Harewood Laurence L Kourambas John J Lawrentschuk Nathan N Moon Daniel D Murphy Declan G DG Sengupta Shomik S Snow Ross R Thorne Heather H Mitchell Catherine C Pedersen John J Clouston David D Norden Sam S Ryan Andrew A Dehm Scott M SM Tilley Wayne D WD Pearson Richard B RB Hannan Ross D RD Frydenberg Mark M Furic Luc L Taylor Renea A RA Risbridger Gail P GP
European urology 20180723 5
<h4>Background</h4>The intractability of castration-resistant prostate cancer (CRPC) is exacerbated by tumour heterogeneity, including diverse alterations to the androgen receptor (AR) axis and AR-independent phenotypes. The availability of additional models encompassing this heterogeneity would facilitate the identification of more effective therapies for CRPC.<h4>Objective</h4>To discover therapeutic strategies by exploiting patient-derived models that exemplify the heterogeneity of CRPC.<h4>D ...[more]