Identification of candidate predictive and surrogate molecular markers for dasatinib in prostate cancer:: Rationale for patient selection and efficacy monitoring

被引:71
作者
Wang, Xi-De [1 ]
Reeves, Karen [1 ]
Luo, Feng R. [1 ]
Xu, Li-An [1 ]
Lee, Francis [1 ]
Clark, Edwin [1 ]
Huang, Fei [1 ]
机构
[1] Bristol Myers Squibb Co, Pharmaceut Res Inst, Princeton, NJ 08543 USA
来源
GENOME BIOLOGY | 2007年 / 8卷 / 11期
关键词
dasatinib; prostate cancer; predictive biomarkers; surrogate markers; pharmacogenomics; UROKINASE PLASMINOGEN-ACTIVATOR; GENE-EXPRESSION; KINASE INHIBITOR; BREAST-CANCER; PHASE-II; RECEPTOR; SRC; PROGRESSION; TUMORS; CELLS;
D O I
10.1186/gb-2007-8-11-r255
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Background: Dasatinib is a potent, multi-targeted kinase inhibitor that was recently approved for treatment of chronic myelogenous leukemia resistant to imatinib. To aid the clinical development of dasatinib in prostate cancer, we utilized preclinical models to identify potential molecular markers for patient stratification and efficacy monitoring. Results: We first identified using gene expression profiling 174 genes whose expression were highly correlated with in vitro sensitivity of 16 cell lines and thus considered as candidate efficacy predictive markers. Among these are important prostatic cell lineage markers cytokeratin 5, androgen receptor and prostate specific antigen. Our results indicate that "basaltype" cell lines with high expression of cytokeratin 5 and low expression of androgen receptor or prostate specific antigen, are sensitive to dasatinib. To identify markers as surrogates for biologic activity, we treated cell lines with dasatinib and identified genes whose expression were significantly modulated by the drug. Ten genes, including urokinase-type plasminogen activator (uPA), were found to not only be potential efficacy markers but also reduced in gene expression upon dasatinib treatment. The down-regulation of uPA by dasatinib was drug-specific and correlated with the sensitivity of cell lines to dasatinib. Furthermore, EphA2, a target of dasatinib was found to be a sensitivity biomarker. Conclusion: Using gene expression profiling approach and preclinical models, we have identified prostatic biomarkers that are associated with sensitivity to dasatinib. This study has provided a basis for clinical evaluation of a potential dasatinib efficacy signature in prostate cancer.
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页数:33
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