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      Ghost mitochondria drive metastasis through adaptive GCN2/Akt therapeutic vulnerability

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          Significance

          Exploitation of mitochondrial functions promotes tumor traits, including metastasis, which is responsible for >90% of all cancer deaths. In this study, we investigated how mitochondrial fitness impacts tumor behavior. We found that acutely damaged, de-energized, and reactive oxygen species-producing mitochondria not only persist in cancer but are also key enablers of metastasis. These “ghost” mitochondria originate from the heterogeneous and often reduced expression of Mic60, an essential scaffold of organelle structure, in certain human cancers. The compensatory activation of gene expression programs as well as GCN2/Akt kinase signaling enables the survival of Mic60-low tumors but also provides a new therapeutic target in advanced and hard-to-treat malignancies.

          Abstract

          Cancer metabolism, including in mitochondria, is a disease hallmark and therapeutic target, but its regulation is poorly understood. Here, we show that many human tumors have heterogeneous and often reduced levels of Mic60, or Mitofilin, an essential scaffold of mitochondrial structure. Despite a catastrophic collapse of mitochondrial integrity, loss of bioenergetics, and oxidative damage, tumors with Mic60 depletion slow down cell proliferation, evade cell death, and activate a nuclear gene expression program of innate immunity and cytokine/chemokine signaling. In turn, this induces epithelial-mesenchymal transition (EMT), activates tumor cell movements through exaggerated mitochondrial dynamics, and promotes metastatic dissemination in vivo. In a small-molecule drug screen, compensatory activation of stress response (GCN2) and survival (Akt) signaling maintains the viability of Mic60-low tumors and provides a selective therapeutic vulnerability. These data demonstrate that acutely damaged, “ghost” mitochondria drive tumor progression and expose an actionable therapeutic target in metastasis-prone cancers.

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          Most cited references58

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          MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification.

          Efficient analysis of very large amounts of raw data for peptide identification and protein quantification is a principal challenge in mass spectrometry (MS)-based proteomics. Here we describe MaxQuant, an integrated suite of algorithms specifically developed for high-resolution, quantitative MS data. Using correlation analysis and graph theory, MaxQuant detects peaks, isotope clusters and stable amino acid isotope-labeled (SILAC) peptide pairs as three-dimensional objects in m/z, elution time and signal intensity space. By integrating multiple mass measurements and correcting for linear and nonlinear mass offsets, we achieve mass accuracy in the p.p.b. range, a sixfold increase over standard techniques. We increase the proportion of identified fragmentation spectra to 73% for SILAC peptide pairs via unambiguous assignment of isotope and missed-cleavage state and individual mass precision. MaxQuant automatically quantifies several hundred thousand peptides per SILAC-proteome experiment and allows statistically robust identification and quantification of >4,000 proteins in mammalian cell lysates.
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            Cancer-related inflammation.

            The mediators and cellular effectors of inflammation are important constituents of the local environment of tumours. In some types of cancer, inflammatory conditions are present before a malignant change occurs. Conversely, in other types of cancer, an oncogenic change induces an inflammatory microenvironment that promotes the development of tumours. Regardless of its origin, 'smouldering' inflammation in the tumour microenvironment has many tumour-promoting effects. It aids in the proliferation and survival of malignant cells, promotes angiogenesis and metastasis, subverts adaptive immune responses, and alters responses to hormones and chemotherapeutic agents. The molecular pathways of this cancer-related inflammation are now being unravelled, resulting in the identification of new target molecules that could lead to improved diagnosis and treatment.
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              AKT/PKB Signaling: Navigating the Network

              The Ser/Thr kinase AKT, also known as protein kinase B (PKB), was discovered 25 years ago and has been the focus of tens of thousands of studies in diverse fields of biology and medicine. There have been many advances in our knowledge of the upstream regulatory inputs into AKT, key multifunctional downstream signaling nodes (GSK3, FoxO, mTORC1), which greatly expand the functional repertoire of Akt, and the complex circuitry of this dynamically branching and looping signaling network that is ubiquitous to nearly every cell in our body. Mouse and human genetic studies have also revealed physiological roles for the AKT network in nearly every organ system. Our comprehension of AKT regulation and functions is particularly important given the consequences of AKT dysfunction in diverse pathological settings, including developmental and overgrowth syndromes, cancer, cardiovascular disease, insulin resistance and type-2 diabetes, inflammatory and autoimmune disorders, and neurological disorders. There has also been much progress in developing AKT-selective small molecule inhibitors. Improved understanding of the molecular wiring of the AKT signaling network continues to make an impact that cuts across most disciplines of the biomedical sciences.
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                Author and article information

                Journal
                Proc Natl Acad Sci U S A
                Proc Natl Acad Sci U S A
                pnas
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                17 February 2022
                22 February 2022
                17 February 2022
                : 119
                : 8
                : e2115624119
                Affiliations
                [1] aProstate Cancer Discovery and Development Program, The Wistar Institute , Philadelphia, PA 19104;
                [2] bImmunology, Microenvironment and Metastasis Program, The Wistar Institute , Philadelphia, PA 19104;
                [3] cProteomics and Metabolomics Shared Resource, The Wistar Institute , Philadelphia, PA 19104;
                [4] dBioinformatics Shared Resource, The Wistar Institute , Philadelphia, PA 19104;
                [5] eCenter for Systems and Computational Biology, The Wistar Institute , Philadelphia, PA 19104;
                [6] fDepartment of Cancer Biology, Sidney Kimmel Cancer Center, Thomas Jefferson University , Philadelphia, PA 19107;
                [7] gDepartment of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic , Cleveland, OH 44195;
                [8] hDivision of Pathology, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico , Milan 20122, Italy;
                [9] iDepartment of Pathophysiology and Transplantation, University of Milan , Milan 20122, Italy;
                [10] jDivision of Neurosurgery, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico , Milan 20122, Italy;
                [11] kDepartment of Pharmacology, University of Colorado School of Medicine , Aurora, CO 80045;
                [12] lMolecular Screening and Protein Expression Shared Resource, The Wistar Institute , Philadelphia, PA 19104;
                [13] mMolecular and Cellular Oncogenesis Program, The Wistar Institute , Philadelphia, PA 19104;
                [14] nDepartment of Pathology, Yale University School of Medicine , New Haven, CT 06510
                Author notes
                3To whom correspondence may be addressed. Email: daltieri@ 123456wistar.org .

                Edited by Marc Montminy, The Clayton Foundation Laboratories for Peptide Biology, Salk Institute for Biological Studies, La Jolla, CA; received August 24, 2021; accepted January 18, 2022

                Author contributions: J.C.G., A.V.K., D.W.S., J.M.S., V.V., and D.C.A. designed research; J.C.G., M.P., E.A., I.B., Y.W., A.R.G., H.-Y.T., A.V.K., C.J.L., A.M., J.C., and M.E.R. performed research; L.O., M.L., and M.C.C. contributed new reagents/analytic tools; J.C.G., A.R.G., H.-Y.T., A.V.K., L.R.L., E.F.P., A.M., D.W.S., M.C.C., J.C., J.M.S., M.E.R., V.V., and D.C.A. analyzed data; and M.E.R., V.V., and D.C.A. wrote the paper.

                1Present address: University of Electronic Science and Technology of China (UESTC), Chengdu 610056, People’s Republic of China.

                2Present address: Cell Press, Cambridge, MA 02139.

                Author information
                https://orcid.org/0000-0002-1832-4578
                https://orcid.org/0000-0002-5671-928X
                https://orcid.org/0000-0001-5824-6802
                https://orcid.org/0000-0001-7605-9592
                https://orcid.org/0000-0003-1838-018X
                https://orcid.org/0000-0002-1956-5496
                https://orcid.org/0000-0001-9011-7031
                https://orcid.org/0000-0002-4247-4365
                https://orcid.org/0000-0002-5002-6845
                https://orcid.org/0000-0001-8294-8070
                https://orcid.org/0000-0002-2184-5980
                https://orcid.org/0000-0002-6385-4578
                https://orcid.org/0000-0003-4416-6216
                https://orcid.org/0000-0002-0617-3469
                Article
                202115624
                10.1073/pnas.2115624119
                8872753
                35177476
                484611a7-785d-450a-a621-e35f9365f36e
                Copyright @ 2022

                This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY).

                History
                : 18 January 2022
                Page count
                Pages: 9
                Funding
                Funded by: HHS | NIH | National Cancer Institute (NCI) 100000054
                Award ID: CA140043
                Award Recipient : Hsin-Yao Tang Award Recipient : Andrew V Kossenkov Award Recipient : Lucia R. Languino Award Recipient : Edward F Plow Award Recipient : David W Speicher Award Recipient : Dario C Altieri
                Funded by: HHS | NIH | National Cancer Institute (NCI) 100000054
                Award ID: CA220446
                Award Recipient : Hsin-Yao Tang Award Recipient : Andrew V Kossenkov Award Recipient : Lucia R. Languino Award Recipient : Edward F Plow Award Recipient : David W Speicher Award Recipient : Dario C Altieri
                Funded by: HHS | NIH | National Cancer Institute (NCI) 100000054
                Award ID: CA221838
                Award Recipient : Hsin-Yao Tang Award Recipient : Andrew V Kossenkov Award Recipient : Lucia R. Languino Award Recipient : Edward F Plow Award Recipient : David W Speicher Award Recipient : Dario C Altieri
                Funded by: HHS | NIH | National Cancer Institute (NCI) 100000054
                Award ID: CA211199
                Award Recipient : Hsin-Yao Tang Award Recipient : Andrew V Kossenkov Award Recipient : Lucia R. Languino Award Recipient : Edward F Plow Award Recipient : David W Speicher Award Recipient : Dario C Altieri
                Categories
                409
                Biological Sciences
                Cell Biology

                mitochondria,cell motility,metastasis
                mitochondria, cell motility, metastasis

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