Palbociclib (PD 0332991): targeting the cell cycle machinery in breast cancer

被引:90
作者
Rocca, Andrea [1 ]
Farolfi, Alberto [1 ]
Bravaccini, Sara [2 ]
Schirone, Alessio [1 ]
Amadori, Dino [1 ]
机构
[1] Ist Sci Romagnolo Studio & Cura Tumori IRST IRCCS, Dept Med Oncol, Meldola, Italy
[2] Ist Sci Romagnolo Studio & Cura Tumori IRST IRCCS, Biosci Lab, Meldola, Italy
关键词
breast cancer; cell cycle; cyclin-dependent kinase inhibitors; endocrine resistance; palbociclib; DEPENDENT KINASE 4/6; CDK INHIBITOR P27; ESTROGEN-RECEPTOR; GROWTH-FACTOR; ANTIESTROGEN RESISTANCE; RETINOBLASTOMA PROTEIN; ENDOCRINE RESISTANCE; ADJUVANT TAMOXIFEN; PHASE-II; ER-ALPHA;
D O I
10.1517/14656566.2014.870555
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Introduction: The cyclin D-cyclin-dependent kinases 4 and 6 (CDK4/6)-retino-blastoma (Rb) pathway, governing the cell cycle restriction point, is frequently altered in breast cancer and is a potentially relevant target for anticancer therapy. Palbociclib (PD 0332991), a potent and selective inhibitor of CDK4 and CDK6, inhibits proliferation of several Rb-positive cancer cell lines and xenograft models. Areas covered: The basic features and abnormalities of the cell cycle in breast cancer are described, along with their involvement in estrogen signaling and endocrine resistance. The pharmacological features of palbociclib, its activity in preclinical models of breast cancer and the potential determinants of response are then illustrated, and its clinical development in breast cancer described. A literature search on the topic was conducted through PubMed and the proceedings of the main cancer congresses of recent years. Expert opinion: The combination of palbociclib with endocrine agents is a very promising treatment and Phase III clinical trials are ongoing to confirm its efficacy. Further, potentially useful combinations are those with drugs targeting mitogenic signaling pathways, such as HER2- and PI3K-inhibitors. Combination with chemotherapy seems more problematic, as antagonism has been reported in preclinical models. The identification of predictive factors, already explored in preclinical studies, must be further refined and validated in clinical trials.
引用
收藏
页码:407 / 420
页数:14
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