Palbociclib and Fulvestrant Act in Synergy to Modulate Central Carbon Metabolism in Breast Cancer Cells

被引:11
|
作者
Warth, Benedikt [1 ,2 ,3 ]
Palermo, Amelia [1 ]
Rattray, Nicholas J. W. [4 ]
Lee, Nathan, V [5 ]
Zhu, Zhou [5 ]
Hoang, Linh T. [1 ]
Cai, Yuping [4 ]
Mazurek, Anthony [5 ]
Dann, Stephen [5 ]
VanArsdale, Todd [5 ]
Fantin, Valeria R. [5 ]
Shields, David [5 ]
Siuzdak, Gary [1 ]
Johnson, Caroline H. [1 ,4 ]
机构
[1] Scripps Res Inst, Scripps Ctr Metabol & Mass Spectrometry, 10550 North Torrey Pines Rd, La Jolla, CA 92037 USA
[2] Univ Vienna, Fac Chem, Dept Food Chem & Toxicol, Wahringerstr 38, A-1090 Vienna, Austria
[3] Univ Vienna, Vienna Metabol Ctr VIME, A-1090 Vienna, Austria
[4] Yale Univ, Yale Sch Publ Hlth, Dept Environm Hlth Sci, New Haven, CT 06511 USA
[5] Pfizer Worldwide Res & Dev, Oncol Res, San Diego, CA 92121 USA
基金
奥地利科学基金会;
关键词
combination drug therapy; breast cancer; multi-omics; metabolomics; RNA-seq; XCMS Online; SUCCINATE; TUMORIGENESIS; COMBINATION; PATHWAY; KEGG;
D O I
10.3390/metabo9010007
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The aims of this study were to determine whether combination chemotherapeutics exhibit a synergistic effect on breast cancer cell metabolism. Palbociclib, is a selective inhibitor of cyclin-dependent kinases 4 and 6, and when patients are treated in combination with fulvestrant, an estrogen receptor antagonist, they have improved progression-free survival. The mechanisms for this survival advantage are not known. Therefore, we analyzed metabolic and transcriptomic changes in MCF-7 cells following single and combination chemotherapy to determine whether selective metabolic pathways are targeted during these different modes of treatment. Individually, the drugs caused metabolic disruption to the same metabolic pathways, however fulvestrant additionally attenuated the pentose phosphate pathway and the production of important coenzymes. A comprehensive effect was observed when the drugs were applied together, confirming the combinatory therapy's synergism in the cell model. This study also highlights the power of merging high-dimensional datasets to unravel mechanisms involved in cancer metabolism and therapy.
引用
收藏
页数:15
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