In vitro predictive assays breast

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Pharmatest's in vitro cancer cell assays include assays of cell viability and cell invasion. The cell viability assays are rapid and reliable screening tools for cancer drug discovery, and they can be combined with live cell imaging using IncuCyte. The subsequent fluorescence of the invaded cells is then measured as endpoint data. Shareholders of Pharmatest have elected Dr. Joy Wolfram as a new board member.
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Tumor Chemosensitivity Assays

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In vitro toxicology - Wikipedia

Many anti-cancer drugs fail in human trials despite showing efficacy in preclinical models. It is clear that the in vitro assays involving 2D monoculture do not reflect the complex extracellular matrix, chemical, and cellular microenvironment of the tumor tissue, and this may explain the failure of 2D models to predict clinical efficacy. We first optimized an in vitro microtumor model using a tumor-aligned ECM, a tumor-aligned medium, MCF-7 and MDA-MB breast cancer spheroids, human umbilical vein endothelial cells, and human stromal cells to recapitulate the tissue architecture, chemical environment, and cellular organization of a growing and invading tumor. We assayed the microtumor for cell proliferation and invasion in a tumor-aligned extracellular matrix, exhibiting collagen deposition, acidity, glucose deprivation, and hypoxia. In a 7-day assay, varying doses of fluorouracil or paclitaxel had differential effects on proliferation for MCF-7 and MDA-MB tumor spheroids in microtumor compared to 2D and 3D monoculture. The microtumors exhibited a tumor morphology and drug response similar to published xenograft data, thus demonstrating a more physiologically predictive in vitro model. It was recently estimated that the average cost to bring a drug to market is now five billion dollars [ 1 ].
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Predictive chemotherapy of advanced breast cancer directed by MTT assay in vitro

High-Risk Breast Cancer pp Cite as. The choice of endocrine therapy and chemotherapy used in the treatment of breast cancer is largely empirically derived, based on data obtained from clinical trials [32]. However, patients with the same tumor pathology may not respond to the same cytotoxic drugs. Steroid hormone receptors, used to predict hormone responsiveness of breast tumors, greatly improve the probability of response, but does not ensure that a patient will benefit from endocrine manipulations. Inappropriate treatments result in valuable time lost for alternative therapy and unnecessary suffering from side effects of antineoplastic agents.
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