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      Modeling the bidirectional glutamine/ammonium conversion between cancer cells and cancer-associated fibroblasts

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          Abstract

          Like in an ecosystem, cancer and other cells residing in the tumor microenvironment engage in various modes of interactions to buffer the negative effects of environmental changes. One such change is the consumption of common nutrients (such as glutamine/Gln) and the consequent accumulation of toxic metabolic byproducts (such as ammonium/NH 4). Ammonium is a waste product of cellular metabolism whose accumulation causes cell stress. In tumors, it is known that it can be recycled into nutrients by cancer associated fibroblasts (CAFs). Here we present monoculture and coculture growth of cancer cells and CAFs on different substrates: glutamine and ammonium. We propose a mathematical model to aid our understanding. We find that cancer cells are able to survive on ammonium and recycle it to glutamine for limited periods of time. CAFs are able to even grow on ammonium. In coculture, the presence of CAFs results in an improved survival of cancer cells compared to their monoculture when exposed to ammonium. Interestingly, the ratio between the two cell populations is maintained under various concentrations of NH 4, suggesting the ability of the mixed cell system to survive temporary metabolic stress and sustain the size and cell composition as a stable entity.

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          Convergence Properties of the Nelder--Mead Simplex Method in Low Dimensions

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            Fibroblasts in cancer.

            Tumours are known as wounds that do not heal - this implies that cells that are involved in angiogenesis and the response to injury, such as endothelial cells and fibroblasts, have a prominent role in the progression, growth and spread of cancers. Fibroblasts are associated with cancer cells at all stages of cancer progression, and their structural and functional contributions to this process are beginning to emerge. Their production of growth factors, chemokines and extracellular matrix facilitates the angiogenic recruitment of endothelial cells and pericytes. Fibroblasts are therefore a key determinant in the malignant progression of cancer and represent an important target for cancer therapies.
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              Choosing the right cell line for breast cancer research

              Breast cancer is a complex and heterogeneous disease. Gene expression profiling has contributed significantly to our understanding of this heterogeneity at a molecular level, refining taxonomy based on simple measures such as histological type, tumour grade, lymph node status and the presence of predictive markers like oestrogen receptor and human epidermal growth factor receptor 2 (HER2) to a more sophisticated classification comprising luminal A, luminal B, basal-like, HER2-positive and normal subgroups. In the laboratory, breast cancer is often modelled using established cell lines. In the present review we discuss some of the issues surrounding the use of breast cancer cell lines as experimental models, in light of these revised clinical classifications, and put forward suggestions for improving their use in translational breast cancer research.

                Author and article information

                Contributors
                Journal
                PeerJ
                PeerJ
                PeerJ
                PeerJ
                PeerJ
                PeerJ Inc. (San Diego, USA )
                2167-8359
                13 January 2021
                2021
                : 9
                : e10648
                Affiliations
                [1 ]Department of Mathematical Sciences, University of Wisconsin-Milwaukee , Milwaukee, WI, USA
                [2 ]Department of Pathology, University of California, San Diego , La Jolla, CA, USA
                Author information
                http://orcid.org/0000-0001-5875-1470
                Article
                10648
                10.7717/peerj.10648
                7811294
                33520452
                0b8b94e5-5828-4d88-a14f-267e4e6f6a72
                © 2021 Hinow et al.

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.

                History
                : 10 September 2020
                : 4 December 2020
                Funding
                Funded by: Simons Foundation
                Award ID: 278436
                Funded by: National Institutes of Health (NIH)
                Award ID: R01CA218140
                Peter Hinow’s visit to UCSD was made possible with support from the Simons Foundation grant “Collaboration on Mathematical Biology” (Award 278436 to Peter Hinow). This work is supported by the National Institutes of Health (NIH) grant R01CA218140 to Shizhen Emily Wang. There was no additional external funding received for this study. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Biochemistry
                Cell Biology
                Mathematical Biology
                Oncology

                cancer-associated fibroblasts,glutamine/ammonium metabolism,mathematical modeling

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