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      Critical Requirement of SOS1 for Development of BCR/ABL-Driven Chronic Myelogenous Leukemia

      , , , , , ,
      Cancers
      MDPI AG

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          Abstract

          We showed previously that the ABL-mediated phosphorylation of SOS1 promotes RAC activation and contributes to BCR-ABL leukemogenesis, suggesting the relevant role of SOS1 in the pathogenesis of CML. To try and obtain direct experimental evidence of the specific mechanistic implication of SOS1 in CML development, here, we combined a murine model of CML driven by a p210BCR/ABL transgene with our tamoxifen-inducible SOS1/2-KO system in order to investigate the phenotypic impact of the direct genetic ablation of SOS1 or SOS2 on the pathogenesis of CML. Our observations showed that, in contrast to control animals expressing normal levels of SOS1 and SOS2 or to single SOS2-KO mice, p210BCR/ABL transgenic mice devoid of SOS1 presented significantly extended survival curves and also displayed an almost complete disappearance of the typical hematological alterations and splenomegaly constituting the hallmarks of CML. SOS1 ablation also resulted in a specific reduction in the proliferation and the total number of colony-forming units arising from the population of bone marrow stem/progenitor cells from p210BCR/ABL transgenic mice. The specific blockade of CML development caused by SOS1 ablation in p210BCR/ABL mice indicates that SOS1 is critically required for CML pathogenesis and supports the consideration of this cellular GEF as a novel, alternative bona fide therapeutic target for CML treatment in the clinic.

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          Most cited references59

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          Defining a Cancer Dependency Map

          Most human epithelial tumors harbor numerous alterations, making it difficult to predict which genes are required for tumor survival. To systematically identify cancer dependencies, we analyzed 501 genome-scale loss-of-function screens performed in diverse human cancer cell lines. We developed DEMETER, an analytical framework that segregates on-from off-target effects of RNAi. 769 genes were differentially required in subsets of these cell lines at a threshold of six standard deviations from the mean. We found predictive models for 426 dependencies (55%) by nonlinear regression modeling considering 66,646 molecular features. Many dependencies fall into a limited number of classes, and unexpectedly, in 82% of models, the top biomarkers were expression-based. We demonstrated the basis behind one such predictive model linking hypermethylation of the UBB ubiquitin gene to a dependency on UBC. Together, these observations provide a foundation for a cancer dependency map that facilitates the prioritization of therapeutic targets.
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            The clinical KRAS(G12C) inhibitor AMG 510 drives anti-tumour immunity

            KRAS is the most frequently mutated oncogene in cancer and encodes a key signalling protein in tumours1,2. The KRAS(G12C) mutant has a cysteine residue that has been exploited to design covalent inhibitors that have promising preclinical activity3-5. Here we optimized a series of inhibitors, using novel binding interactions to markedly enhance their potency and selectivity. Our efforts have led to the discovery of AMG 510, which is, to our knowledge, the first KRAS(G12C) inhibitor in clinical development. In preclinical analyses, treatment with AMG 510 led to the regression of KRASG12C tumours and improved the anti-tumour efficacy of chemotherapy and targeted agents. In immune-competent mice, treatment with AMG 510 resulted in a pro-inflammatory tumour microenvironment and produced durable cures alone as well as in combination with immune-checkpoint inhibitors. Cured mice rejected the growth of isogenic KRASG12D tumours, which suggests adaptive immunity against shared antigens. Furthermore, in clinical trials, AMG 510 demonstrated anti-tumour activity in the first dosing cohorts and represents a potentially transformative therapy for patients for whom effective treatments are lacking.
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              Targeting mitochondrial oxidative phosphorylation eradicates therapy-resistant chronic myeloid leukemic stem cells

              Treatment of chronic myeloid leukemia (CML) with imatinib mesylate and other second/third generation c-Abl specific tyrosine kinase inhibitors (TKIs) has significantly extended patient survival1. However, TKIs primarily target differentiated cells and do not eliminate leukemic stem cells (LSCs)2–4. Therefore, targeting minimal residual disease, to prevent acquired resistance and/or disease relapse requires identification of novel LSC-selective target(s) that can be exploited therapeutically5,6. Given that malignant transformation involves cellular metabolic changes, which may in turn render the transformed cells susceptible to specific assaults in a selective manner7, we searched for such vulnerabilities in CML LSCs. We performed metabolic analyses on both stem cell-enriched (CD34+ and CD34+CD38-) and differentiated (CD34-) patient derived CML cells, and compared their signature with that of normal counterparts. Combining stable isotope-assisted metabolomics with functional assays, we demonstrate that primitive CML cells rely on upregulated oxidative metabolism for their survival. We also show that combination-treatment of imatinib with tigecycline, an antibiotic that inhibits mitochondrial protein translation, selectively eradicates CML LSCs, both in vitro and in a xenotransplantation model of human CML. Our findings provide a strong indication for investigating the employment of TKIs in combination with tigecycline to treat CML patients with minimal residual disease.
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                Author and article information

                Contributors
                (View ORCID Profile)
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                Journal
                CANCCT
                Cancers
                Cancers
                MDPI AG
                2072-6694
                August 2022
                August 11 2022
                : 14
                : 16
                : 3893
                Article
                10.3390/cancers14163893
                36010887
                3331ee51-3baf-468f-9950-7f5dfd3d32ac
                © 2022

                https://creativecommons.org/licenses/by/4.0/

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