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      eEF1A2 promotes PTEN-GSK3β-SCF complex-dependent degradation of Aurora kinase A and is inactivated in breast cancer

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          Abstract

          The translation elongation factor eEF1A promotes protein synthesis. Its methylation by METTL13 increases its activity, supporting tumor growth. However, in some cancers, a high abundance of eEF1A isoforms is associated with a good prognosis. Here, we found that eEF1A2 exhibited oncogenic or tumor-suppressor functions depending on its interaction with METTL13 or the phosphatase PTEN, respectively. METTL13 and PTEN competed for interaction with eEF1A2 in the same structural domain. PTEN-bound eEF1A2 promoted the ubiquitination and degradation of the mitosis-promoting Aurora kinase A in the S and G2 phases of the cell cycle. eEF1A2 bridged the interactions between the SKP1-CUL1-FBXW7 (SCF) ubiquitin ligase complex, the kinase GSK3β, and Aurora-A, thereby facilitating the phosphorylation of Aurora-A in a degron site that was recognized by FBXW7. Genetic ablation of Eef1a2 or Pten in mice resulted in a greater abundance of Aurora-A and increased cell cycling in mammary tumors, which was corroborated in breast cancer tissues from patients. Reactivating this pathway using fimepinostat, which relieves inhibitory signaling directed at PTEN and increases FBXW7 expression, combined with inhibiting Aurora-A with alisertib, suppressed breast cancer cell proliferation in culture and tumor growth in vivo. The findings demonstrate a therapeutically exploitable, tumor-suppressive role for eEF1A2 in breast cancer.

          Abstract

          PTEN and the translation factor eEF1A2 repress breast cancer cells.

          Editor’s summary

          Isoforms of the protein synthesis factor eEF1A can either promote or suppress tumor growth. Treekitkarnmongkol et al . found that eEF1A2 teams up with the tumor suppressor PTEN to repress cell cycling. The interaction between eEF1A2 and PTEN resulted in the assembly of a complex of the kinase GSK3β, the mitotic kinase Aurora-A, and the ubiquitin ligase complex SCF in the pre-mitotic phases of the cell cycle. Phosphorylation at a specific site by GSK3β marked Aurora-A for degradation by the SCF complex, reducing progression through mitosis. Accordingly, Aurora-A was more stable and abundant in PTEN-deficient breast cancers, which showed increased proliferation. A two-drug combination that derepressed PTEN and inhibited Aurora-A suppressed tumor growth in mice, suggesting a potential treatment strategy for patients with PTEN-deficient breast tumors. —Leslie K. Ferrarelli

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          Most cited references52

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          Inhibition of glycogen synthase kinase-3 by insulin mediated by protein kinase B.

          Glycogen synthase kinase-3 (GSK3) is implicated in the regulation of several physiological processes, including the control of glycogen and protein synthesis by insulin, modulation of the transcription factors AP-1 and CREB, the specification of cell fate in Drosophila and dorsoventral patterning in Xenopus embryos. GSK3 is inhibited by serine phosphorylation in response to insulin or growth factors and in vitro by either MAP kinase-activated protein (MAPKAP) kinase-1 (also known as p90rsk) or p70 ribosomal S6 kinase (p70S6k). Here we show, however, that agents which prevent the activation of both MAPKAP kinase-1 and p70S6k by insulin in vivo do not block the phosphorylation and inhibition of GSK3. Another insulin-stimulated protein kinase inactivates GSK3 under these conditions, and we demonstrate that it is the product of the proto-oncogene protein kinase B (PKB, also known as Akt/RAC). Like the inhibition of GSK3 (refs 10, 14), the activation of PKB is prevented by inhibitors of phosphatidylinositol (PI) 3-kinase.
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            The renaissance of GSK3.

            Glycogen synthase kinase 3 (GSK3) was initially described as a key enzyme involved in glycogen metabolism, but is now known to regulate a diverse array of cell functions. The study of the substrate specificity and regulation of GSK3 activity has been important in the quest for therapeutic intervention.
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              Emerging landscape of oncogenic signatures across human cancers

              Cancer therapy is challenged by the diversity of molecular implementations of oncogenic processes and by the resulting variation in therapeutic responses. Projects such as The Cancer Genome Atlas (TCGA) provide molecular tumor maps in unprecedented detail. The interpretation of these maps remains a major challenge. Here we distilled thousands of genetic and epigenetic features altered in cancers to ~500 selected functional events (SFEs). Using this simplified description, we derived a hierarchical classification of 3,299 TCGA tumors from 12 cancer types. The top classes are dominated by either mutations (M class) or copy number changes (C class). This distinction is clearest at the extremes of genomic instability, indicating the presence of different oncogenic processes. The full hierarchy shows functional event patterns characteristic of multiple cross-tissue groups of tumors, termed oncogenic signature classes. Targetable functional events in a tumor class are suggestive of class-specific combination therapy. These results may assist in the definition of clinical trials to match actionable oncogenic signatures with personalized therapies.
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                Author and article information

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                Journal
                Science Signaling
                Sci. Signal.
                1945-0877
                1937-9145
                March 05 2024
                March 05 2024
                : 17
                : 826
                Affiliations
                [1 ]Department of Translational Molecular Pathology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
                [2 ]Department of Veterinary Medicine and Surgery, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
                [3 ]Center for Translational Cancer Research, Texas A&M Health Science Center, Institute of Biosciences and Technology, Houston, TX 77030, USA.
                [4 ]Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030, USA.
                [5 ]State Key Laboratory of Bioreactor Engineering, Shanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science and Technology, Shanghai 200237, PR China.
                [6 ]Department of Molecular Oncology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama 700-8558, Japan.
                [7 ]Department of Life and Environmental Sciences, Prefectural University of Hiroshima, Shobara, 727-0023, Japan.
                [8 ]Department of Surgery, Baylor College of Medicine, Houston, TX 77030, USA.
                [9 ]Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, ON K1H 8M5, Canada.
                [10 ]Fundación Centro Médico de Asturias, 33193 Oviedo, Spain.
                [11 ]Instituto de Medicina Oncológica y Molecular de Asturias (IMOMA), 33193 Oviedo, Spain.
                [12 ]Department of Gynecologic Oncology and Reproductive Medicine, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
                [13 ]Centre for Genomic & Experimental Medicine, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh EH4 2XU, UK.
                [14 ]Department of Pathology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
                [15 ]Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
                Article
                10.1126/scisignal.adh4475
                be21bf73-2609-4b25-ac2b-b9f782f0c1f2
                © 2024

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