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      A suppressor of dioxygenase inhibition in a yeast model of SDH deficiency

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          Abstract

          A fascinating class of familial paraganglioma (PGL) neuroendocrine tumors is driven by the loss of the tricarboxylic acid (TCA) cycle enzyme succinate dehydrogenase (SDH) resulting in succinate accumulation as an oncometabolite and other metabolic derangements. Here, we exploit a Saccharomyces cerevisiae yeast model of SDH loss where accumulating succinate, and possibly reactive oxygen species, poison a dioxygenase enzyme required for sulfur scavenging. Using this model, we performed a chemical suppression screen for compounds that relieve dioxygenase inhibition. After testing 1280 pharmaceutically active compounds, we identified meclofenoxate HCl and its hydrolysis product, dimethylaminoethanol (DMAE), as suppressors of dioxygenase intoxication in SDH-loss yeast cells. We show that DMAE acts to alter metabolism so as to normalize the succinate:2-ketoglutarate ratio, improving dioxygenase function. This study raises the possibility that oncometabolite effects might be therapeutically suppressed by drugs that rewire metabolism to reduce the flux of carbon into pathological metabolic pathways.

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          The Emerging Hallmarks of Cancer Metabolism.

          Tumorigenesis is dependent on the reprogramming of cellular metabolism as both direct and indirect consequence of oncogenic mutations. A common feature of cancer cell metabolism is the ability to acquire necessary nutrients from a frequently nutrient-poor environment and utilize these nutrients to both maintain viability and build new biomass. The alterations in intracellular and extracellular metabolites that can accompany cancer-associated metabolic reprogramming have profound effects on gene expression, cellular differentiation, and the tumor microenvironment. In this Perspective, we have organized known cancer-associated metabolic changes into six hallmarks: (1) deregulated uptake of glucose and amino acids, (2) use of opportunistic modes of nutrient acquisition, (3) use of glycolysis/TCA cycle intermediates for biosynthesis and NADPH production, (4) increased demand for nitrogen, (5) alterations in metabolite-driven gene regulation, and (6) metabolic interactions with the microenvironment. While few tumors display all six hallmarks, most display several. The specific hallmarks exhibited by an individual tumor may ultimately contribute to better tumor classification and aid in directing treatment.
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            On the Origin of Cancer Cells

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              A Simple Statistical Parameter for Use in Evaluation and Validation of High Throughput Screening Assays.

              The ability to identify active compounds (³hits²) from large chemical libraries accurately and rapidly has been the ultimate goal in developing high-throughput screening (HTS) assays. The ability to identify hits from a particular HTS assay depends largely on the suitability or quality of the assay used in the screening. The criteria or parameters for evaluating the ³suitability² of an HTS assay for hit identification are not well defined and hence it still remains difficult to compare the quality of assays directly. In this report, a screening window coefficient, called ³Z-factor,² is defined. This coefficient is reflective of both the assay signal dynamic range and the data variation associated with the signal measurements, and therefore is suitable for assay quality assessment. The Z-factor is a dimensionless, simple statistical characteristic for each HTS assay. The Z-factor provides a useful tool for comparison and evaluation of the quality of assays, and can be utilized in assay optimization and validation.

                Author and article information

                Journal
                Endocr Relat Cancer
                Endocr Relat Cancer
                ERC
                Endocrine-Related Cancer
                Bioscientifica Ltd (Bristol )
                1351-0088
                1479-6821
                21 March 2022
                01 June 2022
                : 29
                : 6
                : 345-358
                Affiliations
                [1 ]Department of Biochemistry and Molecular Biology , Mayo Clinic College of Medicine and Science, Rochester, Minnesota, USA
                Author notes
                Correspondence should be addressed to L J Maher: maher@ 123456mayo.edu

                *(W Beimers and M Braun contributed equally to this work)

                Author information
                http://orcid.org/0000-0003-2605-9716
                http://orcid.org/0000-0002-5043-6422
                Article
                ERC-21-0349
                10.1530/ERC-21-0349
                9175558
                35315791
                4ec6ef8c-0859-4f92-be05-2f712fd8c9ce
                © The authors

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 11 February 2022
                : 21 March 2022
                Categories
                Research

                Oncology & Radiotherapy
                succinate dehydrogenase,saccharomyces cerevisiae,paraganglioma,drug screen

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