Fructose as a carbon source induces an aggressive phenotype in MDA-MB-468 breast tumor cells.

Aberrant glycosylation is a universal feature of cancer cells, and certain glycan structures are well-known markers for tumor progression. Availability and composition of sugars in the microenvironment may affect cell glycosylation. Recent studies of human breast tumor cell lines indicate their ability to take up and utilize fructose. Here we tested the hypothesis that adding fructose to culture as a carbon source induces phenotypic changes in cultured human breast tumor cells that are associated with metastatic disease. MDA-MB-468 cells were adapted to culture media in which fructose was substituted for glucose. Changes in cell surface glycan structures, expression of genes related to glycan assembly, cytoskeleton F-actin, migration, adhesion and invasion were determined. Cells cultured in fructose expressed distinct cell-surface glycans. The addition of fructose affected sialylation and fucosylation patterns. Fructose feeding also increased binding of leukoagglutinating Phaseolus vulgaris isolectin, suggesting a possible rise in expression of branching beta-1, 6 GlcNAc structures. Rhodamine-phalloidin staining revealed an altered F-actin cytoskeletal system. Fructose accelerated cellular migration and increased invasion. These data suggest that changing the carbon source of the less aggressive MDA-MB-468 cell line induced characteristics associated with more aggressive phenotypes. These data could be of fundamental importance due to the markedly increased consumption of sweeteners containing free fructose in recent years, as they suggest that the presence of fructose in nutritional microenvironment of tumor cells may negatively affect the outcome for some breast cancer patients.

(1)H nuclear magnetic resonance metabolomic analysis of mammary tumors from lean and obese Zucker rats exposed to 7,12-dimethylbenz[a]anthracene.

Obesity increases mammary tumor development in Zucker rats following a single administration of the procarcinogen 7,12-dimenthylbenz(a)anthracene (DMBA). Fifty-day-old obese and lean female Zucker rats were orally gavaged with 65 mg/kg DMBA and sacrificed 139 days post DMBA treatment. At the end of the experiment, mammary tumors were detected in 68% of the obese rats compared to 32% of the lean group (P<0.001). 1H nuclear magnetic resonance (1H-NMR) spectra obtained for hydrophilic and lipophilic extracts from excised tumors illustrated fundamental differences in metabolic profiles between the two groups. Differences were observed for key choline compounds, namely phosphocholine and glycerophosphocholine, both markers of malignancy and apoptosis. In addition, levels of lactate, creatine, myo-inositol, alpha-glucose, alanine, leucine, glutamate, glutamine, tyrosine, phenylalanine, and NADH varied between the lean and obese groups. Principal component analysis indicated class separation between tumors from lean and obese rats based on their metabolic profiles, illustrating the potential for using 1H-NMR metabolomic methods for identifying altered metabolic pathways. Our results suggest that obesity enhances the risk for DMBA-induced mammary tumor development in rats. However, the mechanism for this increase in risk is currently unknown and will require further studies for elucidation.

1H-NMR metabolic markers of malignancy correlate with spontaneous metastases in a murine mammary tumor model.

End-products of glycolysis as well as phospholipid precursors and catabolites have been suggested as metabolic indicators of tumor progression. To test the hypothesis that increased levels of such indicators can distinguish metastatic phenotypes, we determined a limited cellular 1H-NMR metabolic profile of subpopulations of murine mammary 4T1 cells that differ in their metastatic potential. Subpopulations with differing metastatic phenotypes were identified by sorting for the expression of the cell surface adhesion oligosaccharide sialylated Lewis x (sLeX). The sLeX-negative subpopulation metastasizes to the lung of syngeneic mice more rapidly than the sLeX-positive subpopulations. The metabolic profile of the sLeX-negative subpopulation indicated higher levels of lactate and total choline metabolites than the sLeX-positive subpopulation, suggesting that altered metabolism is a critical component of the malignant phenotype. Analysis of shed cellular material from the sLeX-negative subpopulation displayed an increased ratio of phosphocholine to glycerophosphocholine when compared to the parental line and sLeX-positive subpopulation. Serum obtained from mice inoculated with either sLeX-negative or sLeX-positive tumor cells contained broader methylene resonances (P = 0.0002; P = 0.0003) and narrower methyl resonances (P = 0.0013; P < 0.0001) when compared to serum of naive mice. However, line widths of methylene and methyl resonances were not useful for distinguishing between the two tumor phenotypes. Results of this study further support the notion that metabolic indicators of malignancy can correlate with in vivo metastatic behavior.

Deficiency in surface expression of E-selectin ligand promotes lung colonization in a mouse model of breast cancer.

Expression of sialyl Lewis(x) (sLe(x)) and sLe(a) on tumor cells is thought to facilitate metastasis by promoting cell adhesion to selectins on vascular endothelial cells. Experiments supporting this concept usually bypass the early steps of the metastatic process by employing tumor cells that are injected directly into the blood. We investigated the relative role of sLe(x) oligosaccharide in the dissemination of breast carcinoma, employing a spontaneous murine metastasis model. An sLe(x) deficient subpopulation of the 4T1 mammary carcinoma cell line was produced by negative selection using the sLe(x)-reactive KM93 MAb. This subpopulation was negative for E-selectin binding but retained P-selectin binding. Both sLe(x)-negative and -positive cells grew at the same rate; however, sLe(x)-negative cells spread more efficiently on plates and had greater motility in wound-scratch assays. Mice inoculated in the mammary fat pad with sLe(x)-negative and -positive variants produced lung metastases. However, the number of lung metastases was significantly increased in the group inoculated with the sLe(x)-negative variant (p = 0.0031), indicating that negative selection for the sLe(x) epitope resulted in enrichment for a subpopulation of cells with a high metastatic phenotype. Cell variants demonstrated significant differences in cellular morphology and pattern of tumor growth in primary and secondary tumor sites. These results strongly suggest that loss of sLe(x) may facilitate the metastatic process by contributing to escape from the primary tumor mass.

PFG-NMR investigations of the binding of cationic neuropeptides to anionic and zwitterionic micelles.

The mechanism by which peptides bind to micelles is believed to be a two-phase process, involving (i). initial electrostatic interactions between the peptide and micelle surface, followed by (ii). hydrophobic interactions between peptide side chains and the micelle core. To better characterize the electrostatic portion of this process, a series of pulse field gradient nuclear magnetic resonance (PFG-NMR) spectroscopic experiments were conducted on a group of neuropeptides with varying net cationic charges (+1 to +3) and charge location to determine both their diffusion coefficients and partition coefficients when in the presence of detergent micelles. Two types of micelles were chosen for the study, namely anionic sodium dodecylsulfate (SDS) and zwitterionic dodecylphosphocholine (DPC) micelles. Results obtained from this investigation indicate that in the case of the anionic SDS micelles, peptides with a larger net positive charge bind to a greater extent than those with a lesser net positive charge (bradykinin > substance P > neurokinin A > Met-enkephalin). In contrast, when in the presence of zwitterionic DPC micelles, the degree of mixed-charge nature of the peptide affects binding (neurokinin A > substance P > Met-enkephalin > bradykinin). Partition coefficients between the peptides and the micelles follow similar trends for both micelle types. Diffusion coefficients for the peptides in SDS micelles, when ranked from largest to smallest, follow a trend where increasing net positive charge results in the smallest diffusion coefficient: Met-enkephalin > neurokinin A > bradykinin > substance P. Diffusion coefficients when in the presence of DPC micelles, when ranked from largest to smallest, follow a trend where the presence of negatively-charged side chains results in the smallest diffusion coefficient: bradykinin > Met-enkephalin > substance P > neurokinin A.