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Three-dimensional environment renders cancer cells profoundly less susceptible to a single amino acid starvation
Authors:Bozhena Vynnytska-Myronovska  Yuliya Kurlishchuk  Yaroslav Bobak  Claudia Dittfeld  Leoni A Kunz-Schughart  Oleh Stasyk
Institution:1. Department of Cell Signaling, Institute of Cell Biology, National Academy of Sciences of Ukraine, Drahomanov str., 14/16, Lviv, 79005, Ukraine
2. Tumor Pathophysiology, OncoRay, National Center for Radiation Research in Oncology, Medical Faculty Carl Gustav Carus, Technical University, Fetscherstr., 74, Dresden, 01307, Germany
Abstract:Increased amino acid requirement of malignant cells is exploited in metabolic antitumor therapy, e.g., enzymotherapies based on arginine or methionine deprivation. However, studies on animal models and clinical trials revealed that solid tumors are much less susceptible to single amino acid starvation than could be expected from the in vitro data. We conducted a comparative analysis of the response of several tumor cell lines to single amino acid starvation in 2-D monolayer versus 3-D spheroid culture. We revealed for the first time that in comparison with monolayer culture tumor cells, spheroids are much less susceptible to the deprivation of individual amino acids (i.e., arginine, leucine, lysine or methionine). Accordingly, even after prolonged (up to 10 days) starvation, spheroid cells could readily resume proliferation when appropriate amino acid was resupplemented. In the case of arginine deprivation, similar apoptosis induction was detected both in 2-D and 3-D culture, suggesting that this process does not determine the level of tumor cell sensitivity to this kind of treatment. It was also observed that spheroids much better mimic the in vivo ability of tumor cells to utilize citrulline as arginine precursor for growth in amino acid deficient environment. We conclude that 3-D spheroid culture better reflects in vivo tumor cell response to single amino acid starvation than 2-D monolayer culture and should be used as an integral model in the studies of this type of antitumor metabolic targeting.
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