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1.
Anticancer Agents Med Chem ; 22(7): 1363-1369, 2022.
Article in English | MEDLINE | ID: mdl-33906591

ABSTRACT

BACKGROUND: Survival and progression of cancer cells are highly dependent on aerobic glycolysis. Strobilanthes crispus has been shown to have promising anticancer effects on breast cancer cells. The involvement of the glycolysis pathway in producing these effects is unconfirmed, thus further investigation is required to elucidate this phenomenon. OBJECTIVE: This study aims to determine the effect of S. crispus active fraction (F3) and its bioactive components on glycolysis in triple-negative breast cancer cells (MDA-MB-231). METHODS: This study utilizes F3, lutein, ß-sitosterol, and stigmasterol to be administered in MDA-MB-231 cells for measurement of antiglycolytic activities through cell poliferation, glucose uptake, and lactate concentration assays. Cell proliferation was assessed by MTT assay of MDA-MB-231 cells after treatment with F3 and its bioactive components lutein, ß-sitosterol, and stigmasterol. The IC50 value in each compound was determined by MTT assay to be used in subsequent assays. The determination of glucose uptake activity and lactate concentration were quantified using fluorescence spectrophotometry. RESULTS: Antiproliferative activities were observed for F3 and its bioactive components, with IC50 values of 100 µg/mL (F3), 20 µM (lutein), 25 µM (ß-sitosterol), and 90 µM (stigmasterol) in MDA-MB-231 cells at 48 h. The percentage of glucose uptake and lactate concentration in MDA-MB-231 cells treated with F3, lutein, or ß sitosterol were significantly lower than those observed in the untreated cells in a time-dependent manner. However, treatment with stigmasterol decreased the concentration of lactate without affecting the glucose uptake in MDA-MB-231 cells. CONCLUSION: The antiglycolytic activities of F3 on MDA-MB-231 cells are attributed to its bioactive components.


Subject(s)
Acanthaceae , Breast Neoplasms , Triple Negative Breast Neoplasms , Apoptosis , Cell Line, Tumor , Cell Proliferation , Female , Glucose , Humans , Lactates/pharmacology , Lutein/pharmacology , Plant Extracts/pharmacology , Stigmasterol/pharmacology , Triple Negative Breast Neoplasms/drug therapy , Triple Negative Breast Neoplasms/metabolism
2.
Cancer Genomics Proteomics ; 14(1): 35-51, 2017 01 02.
Article in English | MEDLINE | ID: mdl-28031236

ABSTRACT

BACKGROUND: Carboplatin and paclitaxel form the cornerstone of chemotherapy for epithelial ovarian cancer, however, drug resistance to these agents continues to present challenges. Despite extensive research, the mechanisms underlying this resistance remain unclear. MATERIALS AND METHODS: A 2D-gel proteomics method was used to analyze protein expression levels of three human ovarian cancer cell lines and five biopsy samples. Representative proteins identified were validated via western immunoblotting. Ingenuity pathway analysis revealed metabolomic pathway changes. RESULTS: A total of 189 proteins were identified with restricted criteria. Combined treatment targeting the proteasome-ubiquitin pathway resulted in re-sensitisation of drug-resistant cells. In addition, examination of five surgical biopsies of ovarian tissues revealed α-enolase (ENOA), elongation factor Tu, mitochondrial (EFTU), glyceraldehyde-3-phosphate dehydrogenase (G3P), stress-70 protein, mitochondrial (GRP75), apolipoprotein A-1 (APOA1), peroxiredoxin (PRDX2) and annexin A (ANXA) as candidate biomarkers of drug-resistant disease. CONCLUSION: Proteomics combined with pathway analysis provided information for an effective combined treatment approach overcoming drug resistance. Analysis of cell lines and tissues revealed potential prognostic biomarkers for ovarian cancer.


Subject(s)
Drug Resistance, Neoplasm , Ovarian Neoplasms/metabolism , Proteome , Proteomics , Antineoplastic Agents/pharmacology , Antineoplastic Combined Chemotherapy Protocols/therapeutic use , Biomarkers , Cell Line, Tumor , Cell Survival/drug effects , Combined Modality Therapy , Computational Biology/methods , Female , Humans , Neoplasm Staging , Ovarian Neoplasms/genetics , Ovarian Neoplasms/pathology , Ovarian Neoplasms/therapy , Protein Interaction Mapping , Proteomics/methods , Signal Transduction , Ubiquitination
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