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Inhibition of Fatty Acid Metabolism Reduces Human Myeloma Cells Proliferation

Overview of attention for article published in PLOS ONE, September 2012
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Title
Inhibition of Fatty Acid Metabolism Reduces Human Myeloma Cells Proliferation
Published in
PLOS ONE, September 2012
DOI 10.1371/journal.pone.0046484
Pubmed ID
Authors

José Manuel Tirado-Vélez, Insaf Joumady, Ana Sáez-Benito, Irene Cózar-Castellano, Germán Perdomo

Abstract

Multiple myeloma is a haematological malignancy characterized by the clonal proliferation of plasma cells. It has been proposed that targeting cancer cell metabolism would provide a new selective anticancer therapeutic strategy. In this work, we tested the hypothesis that inhibition of β-oxidation and de novo fatty acid synthesis would reduce cell proliferation in human myeloma cells. We evaluated the effect of etomoxir and orlistat on fatty acid metabolism, glucose metabolism, cell cycle distribution, proliferation, cell death and expression of G1/S phase regulatory proteins in myeloma cells. Etomoxir and orlistat inhibited β-oxidation and de novo fatty acid synthesis respectively in myeloma cells, without altering significantly glucose metabolism. These effects were associated with reduced cell viability and cell cycle arrest in G0/G1. Specifically, etomoxir and orlistat reduced by 40-70% myeloma cells proliferation. The combination of etomoxir and orlistat resulted in an additive inhibitory effect on cell proliferation. Orlistat induced apoptosis and sensitized RPMI-8226 cells to apoptosis induction by bortezomib, whereas apoptosis was not altered by etomoxir. Finally, the inhibitory effect of both drugs on cell proliferation was associated with reduced p21 protein levels and phosphorylation levels of retinoblastoma protein. In conclusion, inhibition of fatty acid metabolism represents a potential therapeutic approach to treat human multiple myeloma.

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Geographical breakdown

Country Count As %
United States 2 2%
Spain 1 1%
Canada 1 1%
Unknown 91 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 21%
Researcher 17 18%
Student > Master 16 17%
Student > Bachelor 7 7%
Student > Doctoral Student 7 7%
Other 17 18%
Unknown 11 12%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 28 29%
Agricultural and Biological Sciences 27 28%
Medicine and Dentistry 17 18%
Immunology and Microbiology 3 3%
Business, Management and Accounting 1 1%
Other 5 5%
Unknown 14 15%