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      Drug-tolerant persister cancer cells are vulnerable to GPX4 inhibition

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          Abstract

          Acquired drug resistance prevents cancer therapies from achieving stable and complete responses. 1 Emerging evidence implicates a key role for nonmutational drug resistance mechanisms underlying the survival of residual cancer “persister” cells. 2- 4 The persister cell pool constitutes a reservoir from which drug-resistant tumours may emerge. Targeting persister cells therefore presents a therapeutic opportunity to impede tumour relapse. 5 In an earlier report, we found that cancer cells in a high mesenchymal therapy-resistant cell state are dependent on the lipid hydroperoxidase GPX4 for survival. 6 Here, we describe the discovery that a similar therapy-resistant cell state underlies the behavior of persister cells derived from a wide range of cancers and drug treatments. Consequently, we show that persister cells acquire a dependency on GPX4. We demonstrate that loss of GPX4 function results in selective persister cell ferroptotic death in vitro and prevents tumour relapse in vivo. These findings support targeting GPX4 as a therapeutic strategy to prevent acquired drug resistance.

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          Most cited references13

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          Dependency of a therapy-resistant state of cancer cells on a lipid peroxidase pathway

          Plasticity of the cell state has been proposed to drive resistance to multiple classes of cancer therapies, thereby limiting their effectiveness. A high-mesenchymal cell state observed in human tumours and cancer cell lines has been associated with resistance to multiple treatment modalities across diverse cancer lineages, but the mechanistic underpinning for this state has remained incompletely understood. Here we molecularly characterize this therapy-resistant high-mesenchymal cell state in human cancer cell lines and organoids and show that it depends on a druggable lipid-peroxidase pathway that protects against ferroptosis, a non-apoptotic form of cell death induced by the build-up of toxic lipid peroxides. We show that this cell state is characterized by activity of enzymes that promote the synthesis of polyunsaturated lipids. These lipids are the substrates for lipid peroxidation by lipoxygenase enzymes. This lipid metabolism creates a dependency on pathways converging on the phospholipid glutathione peroxidase (GPX4), a selenocysteine-containing enzyme that dissipates lipid peroxides and thereby prevents the iron-mediated reactions of peroxides that induce ferroptotic cell death. Dependency on GPX4 was found to exist across diverse therapy-resistant states characterized by high expression of ZEB1, including epithelial–mesenchymal transition in epithelial-derived carcinomas, TGFβ-mediated therapy-resistance in melanoma, treatment-induced neuroendocrine transdifferentiation in prostate cancer, and sarcomas, which are fixed in a mesenchymal state owing to their cells of origin. We identify vulnerability to ferroptic cell death induced by inhibition of a lipid peroxidase pathway as a feature of therapy-resistant cancer cells across diverse mesenchymal cell-state contexts.
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            RAS-RAF-MEK-dependent oxidative cell death involving voltage-dependent anion channels.

            Therapeutics that discriminate between the genetic makeup of normal cells and tumour cells are valuable for treating and understanding cancer. Small molecules with oncogene-selective lethality may reveal novel functions of oncoproteins and enable the creation of more selective drugs. Here we describe the mechanism of action of the selective anti-tumour agent erastin, involving the RAS-RAF-MEK signalling pathway functioning in cell proliferation, differentiation and survival. Erastin exhibits greater lethality in human tumour cells harbouring mutations in the oncogenes HRAS, KRAS or BRAF. Using affinity purification and mass spectrometry, we discovered that erastin acts through mitochondrial voltage-dependent anion channels (VDACs)--a novel target for anti-cancer drugs. We show that erastin treatment of cells harbouring oncogenic RAS causes the appearance of oxidative species and subsequent death through an oxidative, non-apoptotic mechanism. RNA-interference-mediated knockdown of VDAC2 or VDAC3 caused resistance to erastin, implicating these two VDAC isoforms in the mechanism of action of erastin. Moreover, using purified mitochondria expressing a single VDAC isoform, we found that erastin alters the permeability of the outer mitochondrial membrane. Finally, using a radiolabelled analogue and a filter-binding assay, we show that erastin binds directly to VDAC2. These results demonstrate that ligands to VDAC proteins can induce non-apoptotic cell death selectively in some tumour cells harbouring activating mutations in the RAS-RAF-MEK pathway.
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              Ferrostatins Inhibit Oxidative Lipid Damage and Cell Death in Diverse Disease Models

              Ferrostatin-1 (Fer-1) inhibits ferroptosis, a form of regulated, oxidative, nonapoptotic cell death. We found that Fer-1 inhibited cell death in cellular models of Huntington’s disease (HD), periventricular leukomalacia (PVL), and kidney dysfunction; Fer-1 inhibited lipid peroxidation, but not mitochondrial reactive oxygen species formation or lysosomal membrane permeability. We developed a mechanistic model to explain the activity of Fer-1, which guided the development of ferrostatins with improved properties. These studies suggest numerous therapeutic uses for ferrostatins, and that lipid peroxidation mediates diverse disease phenotypes.
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                Author and article information

                Contributors
                Journal
                0410462
                6011
                Nature
                Nature
                Nature
                0028-0836
                1476-4687
                21 September 2017
                01 November 2017
                09 November 2017
                03 May 2018
                : 551
                : 7679
                : 247-250
                Affiliations
                Department of Microbiology and Immunology and UCSF Diabetes Center, University of California San Francisco, 513 Parnassus Avenue, San Francisco, California 94143, USA; UCSF Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, 1450 3rd Street, San Francisco, California 94143, USA
                Broad Institute, 415 Main Street, Cambridge, Massachusetts 02142, USA
                Broad Institute, 415 Main Street, Cambridge, Massachusetts 02142, USA
                UCSF Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, 1450 3rd Street, San Francisco, California 94143, USA
                Broad Institute, 415 Main Street, Cambridge, Massachusetts 02142, USA
                Data Set Analysis LLC, 155 Jackson Street, San Francisco, California 94111, USA
                UCSF Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, 1450 3rd Street, San Francisco, California 94143, USA
                Cancer and Cell Biology Division, The Translational Genomics Research Institute, 445 N 5th Street, Phoenix, Arizona 85004, USA
                Cancer and Cell Biology Division, The Translational Genomics Research Institute, 445 N 5th Street, Phoenix, Arizona 85004, USA
                Broad Institute, 415 Main Street, Cambridge, Massachusetts 02142, USA; Howard Hughes Medical Institute, Chevy Chase, Maryland 20815, USA
                UCSF Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, 1450 3rd Street, San Francisco, California 94143, USA
                Department of Microbiology and Immunology and UCSF Diabetes Center, University of California San Francisco, 513 Parnassus Avenue, San Francisco, California 94143, USA
                Author notes
                Correspondence and request for materials should be sent to M.T.M. ( michael.mcmanus@ 123456ucsf.edu ) or F.M. ( frank.mccormick@ 123456ucsf.edu )
                Article
                NIHMS907407
                10.1038/nature24297
                5933935
                29088702
                c4807548-5b45-4be4-b2f0-14d0af8cb90c

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