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1.
Lipids ; 45(9): 777-84, 2010 Sep.
Article in English | MEDLINE | ID: mdl-20730604

ABSTRACT

Certain fatty acids in canola oil (CAN) have been associated with a reduced risk of breast cancer. This study assessed the effects of CAN on proliferation and death of human breast cancer cells in vitro and in vivo in chemically induced mammary carcinogenesis. We hypothesize that CAN reduces breast cancer cell growth by inducing cell death. In a series of in vitro experiments, human breast cancer T47D and MCF-7 cells were cultured and treated with CAN and two chemotherapeutic drugs, tamoxifen and cerulenin. Cell proliferation and caspase-3 and p53 activities were measured. Reduced cancer cell growth and increased expression of caspase-3 and p53 were seen in T47D and MCF-7 cells treated with CAN. Moreover, CAN showed synergistic cancer cell growth inhibition effects with tamoxifen and cerulenin. In a subsequent live animal experiment, 42 female Sprague-Dawley rats were randomly assigned to corn oil (CORN) or CAN diets, and mammary tumors were chemically induced by N-nitroso-N-methylurea. CAN-dieted rats had reduced tumor volumes and showed an increased survival rate as compared to CORN-dieted rats. We demonstrated that CAN has suppressive effects on cancer growth, and reduces tumor volumes. The results suggest that CAN may have inhibitory effects on breast cancer cell growth, and warrants further investigation of the synergistic effects of CAN with anti-cancer drugs.


Subject(s)
Antineoplastic Combined Chemotherapy Protocols/therapeutic use , Breast Neoplasms/drug therapy , Fatty Acids, Monounsaturated/therapeutic use , Animals , Breast Neoplasms/metabolism , Breast Neoplasms/pathology , Caspase 3/metabolism , Cell Line, Tumor , Cell Proliferation , Cerulenin/therapeutic use , Drug Synergism , Fatty Acids, Monounsaturated/administration & dosage , Female , Humans , Rapeseed Oil , Rats , Rats, Sprague-Dawley , Tamoxifen/therapeutic use , Tumor Suppressor Protein p53/metabolism
2.
In Vitro Cell Dev Biol Anim ; 44(7): 268-72, 2008.
Article in English | MEDLINE | ID: mdl-18498022

ABSTRACT

Lipotropes (methyl group containing nutrients, including methionine, choline, folate, and vitamin B(12)) are dietary methyl donors and cofactors that are involved in one-carbon metabolism, which is important for genomic DNA methylation reactions and nucleic acid synthesis. One-carbon metabolism provides methyl groups for all biological methylation pathways and is highly dependent on dietary supplementation of methyl nutrients. Nutrition is an important determinant of breast cancer risk and tumor behavior, and dietary intervention may be an effective approach to prevent breast cancer. Apoptosis is important for the regulation of homeostasis and tumorigenesis. The anti-apoptotic protein Bcl-2 may be a regulatory target in cancer therapy; controlling or modulating its expression may be a therapeutic strategy against breast cancer. In this study, the effects of lipotrope supplementation on the growth and death of human breast cancer cell lines T47D and MCF-7 were examined and found to inhibit growth of both T47D and MCF-7 cells. Furthermore, the ratios of apoptotic cells to the total number of cells were approximately 44% and 34% higher in the lipotrope-supplemented treatments of T47D and MCF-7 cancer cells, respectively, compared with the control treatments. More importantly, Bcl-2 protein expression was decreased by approximately 25% from lipotrope supplementation in T47D cells, suggesting that lipotropes can induce breast cancer cell death by direct downregulation of Bcl-2 protein expression. Cancer treatment failure is often correlated with Bcl-2 protein upregulation. These data may be useful in the development of effective nutritional strategies to prevent and reduce breast cancer in humans.


Subject(s)
Breast Neoplasms/pathology , Food , Lipotropic Agents/pharmacology , Cell Line, Tumor , Cell Nucleus/drug effects , Cell Nucleus/metabolism , Cell Proliferation/drug effects , Female , Humans , Proto-Oncogene Proteins c-bcl-2/metabolism , Time Factors
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