Regulation of the cytidine phospholipid pathways in human cancer cells and effects of 1-beta-D-arabinofuranosylcytosine: a noninvasive 31P nuclear magnetic resonance study.
Using 31P nuclear magnetic resonance spectroscopy we have noninvasively observed metabolic control through the cytidine pathways of phosphatidylcholine and phosphatidylethanolamine synthesis in intact actively metabolizing MDA-MB-231 human breast cancer cells. Perfusion with the phospholipid precursors ethanolamine or choline (2 mM) indicates that the cytidylyltransferase enzymes are rate limiting for both pathways. Complete inhibition of choline kinase with ethanolamine allowed the observation of the utilization of phosphocholine by the rate-limiting enzyme choline-phosphate cytidylyltransferase. The rate was dependent on the phosphocholine concentration. Inhibition of glycerophosphorylcholine phosphodiesterase with accumulation of substrate was also observed and allows an estimate of the flux through the degradative pathways. The human lymphoma cell line MOLT-4 was also found to contain high levels of phosphocholine and phosphoethanolamine. The levels of these precursors in the MOLT-4 line are lowered by 40% after 6 h when perfused with high dose 1-beta-D-arabinofuranosylcytosine (Ara-C) (400 microns) but are unaffected by 2 microns Ara-C or dideoxycytidine. High dose Ara-C also resulted in lysis in 8-10 h. However, the MDA-MB-231 cell line which is not sensitive to Ara-C showed no change in its spectrum when perfused with Ara-C. A potential mechanism based on classic phospholipid metabolism for the lytic effect of high dose Ara-C is discussed.[1]References
- Regulation of the cytidine phospholipid pathways in human cancer cells and effects of 1-beta-D-arabinofuranosylcytosine: a noninvasive 31P nuclear magnetic resonance study. Daly, P.F., Zugmaier, G., Sandler, D., Carpen, M., Myers, C.E., Cohen, J.S. Cancer Res. (1990) [Pubmed]
Annotations and hyperlinks in this abstract are from individual authors of WikiGenes or automatically generated by the WikiGenes Data Mining Engine. The abstract is from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.About WikiGenesOpen Access LicencePrivacy PolicyTerms of Useapsburg









