Alterations of choline phospholipid metabolism in ovarian tumor progression

Recent characterization of abnormal phosphatidylcholine metabolism in tumor cells by nuclear magnetic resonance (NMR) has identified novel fingerprints of tumor progression that are potentially useful as clinical diagnostic indicators. In the present study, we analyzed the concentrations of phosphatidylcholine metabolites, activities of phosphocholineproducing enzymes, and uptake of [methyl-14C]choline in human epithelial ovarian carcinoma cell lines (EOC) compared with normal or immortalized ovary epithelial cells (EONT). Quantification of phosphatidylcholine metabolites contributing to the 1H NMR total choline resonance (3.20-3.24 ppm) revealed intracellular [phosphocholine] and [total choline] of 2.3 F 0.9 and 5.2 F 2.4 nmol/106 cells, respectively, with a glycerophosphocholine/phosphocholine ratio of 0.95 F 0.93 in EONT cells; average [phosphocholine] was 3- to 8-fold higher in EOC cells (P < 0.0001), becoming the predominant phosphatidylcholine metabolite, whereas average glycerophosphocholine/ phosphocholine values decreased significantly to V0.2. Two-dimensional {phosphocholine/total choline, [total choline]} and {glycerophosphocholine/total choline, [total choline]} maps allowed separate clustering of EOC from EONTcells (P < 0.0001, 95% confidence limits). Rates of choline kinase activity in EOC cells were 12- to 24-fold higher (P < 0.03) than those in EONTcells (basal rate, 0.5F0.1 nmol/106 cells/h), accounting for a consistently elevated (5- to 15-fold) [methyl-14C]- choline uptake after 1-hour incubation (P < 0.0001). The overall activity of phosphatidylcholine-specific phospholipase C and phospholipase D was also higher (f5-fold) in EOC cells, suggesting that both biosynthetic and catabolic pathways of the phosphatidylcholine cycle likely contribute to phosphocholine accumulation. Evidence of abnormal phosphatidylcholine metabolism might have implications in EOC biology and might provide an avenue to the development of noninvasive clinical tools for EOC diagnosis and treatment follow-up.