Comprehensive Drug Testing of Patient-derived Conditionally Reprogrammed Cells from Castration-resistant Prostate Cancer

被引:68
|
作者
Saeed, Khalid [1 ]
Rahkama, Vesa [1 ]
Eldfors, Samuli [1 ]
Bychkov, Dmitry [1 ]
Mpindi, John Patrick [1 ]
Yadav, Bhagwan [1 ]
Paavolainen, Lassi [1 ]
Aittokallio, Tero [1 ]
Heckman, Caroline [1 ]
Wennerberg, Krister [1 ]
Peehl, Donna M. [2 ]
Horvath, Peter [1 ,3 ]
Mirtti, Tuomas [1 ,4 ]
Rannikko, Antti [5 ]
Kallioniemi, Olli [1 ]
Ostling, Paivi [1 ]
af Hallstrom, Taija M. [1 ]
机构
[1] Univ Helsinki, Inst Mol Med Finland, Haartmaninkatu 8, FI-00140 Helsinki, Finland
[2] Stanford Univ, Sch Med, Dept Urol, Stanford, CA 94305 USA
[3] Biol Res Ctr, Synthet & Syst Biol Unit, Szeged, Hungary
[4] Helsinki Univ Hosp, Dept Pathol, HUSLAB, Helsinki, Finland
[5] Helsinki Univ Hosp, Dept Urol, Helsinki, Finland
基金
欧盟第七框架计划; 芬兰科学院;
关键词
Castration-resistant prostate cancer; Drug sensitivity testing; Navitoclax; Patient-derived cultures; Reprogrammed cells; EPITHELIAL-CELLS; INCREASED SURVIVAL; PLUS PREDNISONE; EAU GUIDELINES; DOCETAXEL; DIFFERENTIATION; ENZALUTAMIDE; CHEMOTHERAPY; MITOXANTRONE; CABAZITAXEL;
D O I
10.1016/j.eururo.2016.04.019
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
Background: Technology development to enable the culture of human prostate cancer (PCa) progenitor cells is required for the identification of new, potentially curative therapies for PCa. Objective: We established and characterized patient-derived conditionally reprogrammed cells (CRCs) to assess their biological properties and to apply these to test the efficacies of drugs. Design, setting, and participants: CRCs were established from seven patient samples with disease ranging fromprimary PCa to advanced castration-resistant PCa (CRPC). The CRCs were characterized by genomic, transcriptomic, protein expression, and drug profiling. Outcome measurements and statistical analysis: The phenotypic quantification of the CRCs was done based on immunostaining followed by image analysis with Advanced Cell Classifier using Random Forest supervised machine learning. Copy number aberrations (CNAs) were called from whole-exome sequencing and transcriptomics using in-house pipelines. Dose-response measurements were used to generate multiparameter drug sensitivity scores using R-statistical language. Results and limitations: We generated six benign CRC cultures which all had an androgen receptor-negative, basal/transit-amplifying phenotype with few CNAs. In three-dimensional cell culture, these cells could re-express the androgen receptor. The CRCs froma CRPC patient (HUB. 5) displayed multiple CNAs, many of which were shared with the parental tumor. We carried out high-throughput drug-response studies with 306 emerging and clinical cancer drugs. Using the benign CRCs as controls, we identified the Bcl-2 family inhibitor navitoclax as the most potent cancer-specific drug for the CRCs from a CRPC patient. Other drug efficacies included taxanes, mepacrine, and retinoids. Conclusions: Comprehensive cancer pharmacopeia-wide drug testing of CRCs from a CRPC patient highlighted both known and novel drug sensitivities in PCa, including navitoclax, which is currently being tested in clinical trials of CRPC. Patient summary: We describe an approach to generate patient-derived cancer cells from advanced prostate cancer and apply such cells to discover drugs that could be applied in clinical trials for castration-resistant prostate cancer. (C) 2016 European Association of Urology. Published by Elsevier B.V.
引用
收藏
页码:319 / 327
页数:9
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