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Šofranko J, Gondáš E, Murín R. Application of the Hydrophilic Interaction Liquid Chromatography (HILIC-MS) Novel Protocol to Study the Metabolic Heterogeneity of Glioblastoma Cells. Metabolites 2024; 14:297. [PMID: 38921432 PMCID: PMC11205371 DOI: 10.3390/metabo14060297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Revised: 05/13/2024] [Accepted: 05/21/2024] [Indexed: 06/27/2024] Open
Abstract
Glioblastoma is a highly malignant brain tumor consisting of a heterogeneous cellular population. The transformed metabolism of glioblastoma cells supports their growth and division on the background of their milieu. One might hypothesize that the transformed metabolism of a primary glioblastoma could be well adapted to limitations in the variety and number of substrates imported into the brain parenchyma and present it their microenvironment. Additionally, the phenotypic heterogeneity of cancer cells could promote the variations among their metabolic capabilities regarding the utilization of available substrates and release of metabolic intermediates. With the aim to identify the putative metabolic footprint of different types of glioblastoma cells, we exploited the possibility for separation of polar and ionic molecules present in culture media or cell lysates by hydrophilic interaction liquid chromatography (HILIC). The mass spectrometry (MS) was then used to identify and quantify the eluted compounds. The introduced method allows the detection and quantification of more than 150 polar and ionic metabolites in a single run, which may be present either in culture media or cell lysates and provide data for polaromic studies within metabolomics. The method was applied to analyze the culture media and cell lysates derived from two types of glioblastoma cells, T98G and U118. The analysis revealed that even both types of glioblastoma cells share several common metabolic aspects, and they also exhibit differences in their metabolic capability. This finding agrees with the hypothesis about metabolic heterogeneity of glioblastoma cells. Furthermore, the combination of both analytical methods, HILIC-MS, provides a valuable tool for metabolomic studies based on the simultaneous identification and quantification of a wide range of polar and ionic metabolites-polaromics.
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Affiliation(s)
- Jakub Šofranko
- Department of Medical Biochemistry, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Mala Hora 4D, 036 01 Martin, Slovakia
| | - Eduard Gondáš
- Department of Pharmacology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Mala Hora 4D, 036 01 Martin, Slovakia
| | - Radovan Murín
- Department of Medical Biochemistry, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Mala Hora 4D, 036 01 Martin, Slovakia
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2
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Lin H, Liu C, Hu A, Zhang D, Yang H, Mao Y. Understanding the immunosuppressive microenvironment of glioma: mechanistic insights and clinical perspectives. J Hematol Oncol 2024; 17:31. [PMID: 38720342 PMCID: PMC11077829 DOI: 10.1186/s13045-024-01544-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2023] [Accepted: 04/10/2024] [Indexed: 05/12/2024] Open
Abstract
Glioblastoma (GBM), the predominant and primary malignant intracranial tumor, poses a formidable challenge due to its immunosuppressive microenvironment, thereby confounding conventional therapeutic interventions. Despite the established treatment regimen comprising surgical intervention, radiotherapy, temozolomide administration, and the exploration of emerging modalities such as immunotherapy and integration of medicine and engineering technology therapy, the efficacy of these approaches remains constrained, resulting in suboptimal prognostic outcomes. In recent years, intensive scrutiny of the inhibitory and immunosuppressive milieu within GBM has underscored the significance of cellular constituents of the GBM microenvironment and their interactions with malignant cells and neurons. Novel immune and targeted therapy strategies have emerged, offering promising avenues for advancing GBM treatment. One pivotal mechanism orchestrating immunosuppression in GBM involves the aggregation of myeloid-derived suppressor cells (MDSCs), glioma-associated macrophage/microglia (GAM), and regulatory T cells (Tregs). Among these, MDSCs, though constituting a minority (4-8%) of CD45+ cells in GBM, play a central component in fostering immune evasion and propelling tumor progression, angiogenesis, invasion, and metastasis. MDSCs deploy intricate immunosuppressive mechanisms that adapt to the dynamic tumor microenvironment (TME). Understanding the interplay between GBM and MDSCs provides a compelling basis for therapeutic interventions. This review seeks to elucidate the immune regulatory mechanisms inherent in the GBM microenvironment, explore existing therapeutic targets, and consolidate recent insights into MDSC induction and their contribution to GBM immunosuppression. Additionally, the review comprehensively surveys ongoing clinical trials and potential treatment strategies, envisioning a future where targeting MDSCs could reshape the immune landscape of GBM. Through the synergistic integration of immunotherapy with other therapeutic modalities, this approach can establish a multidisciplinary, multi-target paradigm, ultimately improving the prognosis and quality of life in patients with GBM.
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Affiliation(s)
- Hao Lin
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, People's Republic of China
- National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai Clinical Medical Center of Neurosurgery, Neurosurgical Institute of Fudan University, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Chaxian Liu
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, People's Republic of China
- National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai Clinical Medical Center of Neurosurgery, Neurosurgical Institute of Fudan University, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Ankang Hu
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, People's Republic of China
- National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai Clinical Medical Center of Neurosurgery, Neurosurgical Institute of Fudan University, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Duanwu Zhang
- Children's Hospital of Fudan University, and Shanghai Key Laboratory of Medical Epigenetics, International Co-Laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Institutes of Biomedical Sciences, Fudan University, Shanghai, 200032, People's Republic of China.
| | - Hui Yang
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, People's Republic of China.
- Institute for Translational Brain Research, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
- National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai Clinical Medical Center of Neurosurgery, Neurosurgical Institute of Fudan University, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
| | - Ying Mao
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, People's Republic of China.
- National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai Clinical Medical Center of Neurosurgery, Neurosurgical Institute of Fudan University, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
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3
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Panina SB, Schweer JV, Zhang Q, Raina G, Hardtke HA, Kim S, Yang W, Siegel D, Zhang YJ. Targeting of REST with rationally-designed small molecule compounds exhibits synergetic therapeutic potential in human glioblastoma cells. BMC Biol 2024; 22:83. [PMID: 38609948 PMCID: PMC11015551 DOI: 10.1186/s12915-024-01879-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 04/04/2024] [Indexed: 04/14/2024] Open
Abstract
BACKGROUND Glioblastoma (GBM) is an aggressive brain cancer associated with poor prognosis, intrinsic heterogeneity, plasticity, and therapy resistance. In some GBMs, cell proliferation is fueled by a transcriptional regulator, repressor element-1 silencing transcription factor (REST). RESULTS Using CRISPR/Cas9, we identified GBM cell lines dependent on REST activity. We developed new small molecule inhibitory compounds targeting small C-terminal domain phosphatase 1 (SCP1) to reduce REST protein level and transcriptional activity in glioblastoma cells. Top leads of the series like GR-28 exhibit potent cytotoxicity, reduce REST protein level, and suppress its transcriptional activity. Upon the loss of REST protein, GBM cells can potentially compensate by rewiring fatty acid metabolism, enabling continued proliferation. Combining REST inhibition with the blockade of this compensatory adaptation using long-chain acyl-CoA synthetase inhibitor Triacsin C demonstrated substantial synergetic potential without inducing hepatotoxicity. CONCLUSIONS Our results highlight the efficacy and selectivity of targeting REST alone or in combination as a therapeutic strategy to combat high-REST GBM.
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Affiliation(s)
- Svetlana B Panina
- Department of Molecular Biosciences, The University of Texas at Austin, 2500 Speedway, Austin, TX, USA
| | - Joshua V Schweer
- Skaggs School of Pharmacy and Pharmaceutical Sciences, The University of California San Diego, 9500 Gilman Drive 0741, La Jolla, CA, USA
| | - Qian Zhang
- Department of Molecular Biosciences, The University of Texas at Austin, 2500 Speedway, Austin, TX, USA
| | - Gaurav Raina
- Skaggs School of Pharmacy and Pharmaceutical Sciences, The University of California San Diego, 9500 Gilman Drive 0741, La Jolla, CA, USA
| | - Haley A Hardtke
- Department of Molecular Biosciences, The University of Texas at Austin, 2500 Speedway, Austin, TX, USA
| | - Seungjin Kim
- Department of Molecular Biosciences, The University of Texas at Austin, 2500 Speedway, Austin, TX, USA
| | - Wanjie Yang
- Department of Molecular Biosciences, The University of Texas at Austin, 2500 Speedway, Austin, TX, USA
| | - Dionicio Siegel
- Skaggs School of Pharmacy and Pharmaceutical Sciences, The University of California San Diego, 9500 Gilman Drive 0741, La Jolla, CA, USA
| | - Y Jessie Zhang
- Department of Molecular Biosciences, The University of Texas at Austin, 2500 Speedway, Austin, TX, USA.
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4
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Mistry AM, Daneshmand J, Seo SJ, Lehman NL, Miller DM, Goodin DA, Frieboes HB, Chen J, Masters A, Williams BJ, Yaddanapudi K. Spatially Resolved Microglia/Macrophages in Recurrent Glioblastomas Overexpress Fatty Acid Metabolism and Phagocytic Genes. Curr Oncol 2024; 31:1183-1194. [PMID: 38534921 PMCID: PMC10968993 DOI: 10.3390/curroncol31030088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2024] [Revised: 02/09/2024] [Accepted: 02/19/2024] [Indexed: 05/26/2024] Open
Abstract
BACKGROUND Glioblastoma (GBM) tumors are rich in tumor-associated microglia/macrophages. Changes associated with treatment in this specific cell population are poorly understood. Therefore, we studied changes in gene expression of tumor-associated microglia/macrophages (Iba1+) cells in de novo versus recurrent GBMs. METHODS NanoString GeoMx® Digital Spatial Transcriptomic Profiling of microglia/macrophages (Iba1+) and glial cells (Gfap+) cells identified on tumor sections was performed on paired de novo and recurrent samples obtained from three IDH-wildtype GBM patients. The impact of differentially expressed genes on patient survival was evaluated using publicly available data. RESULTS Unsupervised analyses of the NanoString GeoMx® Digital Spatial Profiling data revealed clustering based on the transcriptomic data from Iba1+ and Gfap+ cells. As expected, conventional differential gene expression and enrichment analyses revealed upregulation of immune-function-related genes in Iba1+ cells compared to Gfap+ cells. A focused differential gene expression analysis revealed upregulation of phagocytosis and fatty acid/lipid metabolism genes in Iba1+ cells in recurrent GBM samples compared to de novo GBM samples. Importantly, of these genes, the lipid metabolism gene PLD3 consistently correlated with survival in multiple different publicly available datasets. CONCLUSION Tumor-associated microglia/macrophages in recurrent GBM overexpress genes involved in fatty acid/lipid metabolism. Further investigation is needed to fully delineate the role of PLD phospholipases in GBM progression.
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Affiliation(s)
- Akshitkumar M. Mistry
- Department of Neurosurgery, University of Louisville, Louisville, KY 40202, USA; (S.J.S.); (B.J.W.)
- Brown Cancer Center, University of Louisville, Louisville, KY 40202, USA; (D.M.M.); (H.B.F.); (A.M.)
| | - Jonah Daneshmand
- Department of Bioinformatics, University of Louisville, Louisville, KY 40202, USA;
| | - SeonYeong Jamie Seo
- Department of Neurosurgery, University of Louisville, Louisville, KY 40202, USA; (S.J.S.); (B.J.W.)
| | - Norman L. Lehman
- Departments of Pathology and Laboratory Medicine, University of Louisville, Louisville, KY 40202, USA;
| | - Donald M. Miller
- Brown Cancer Center, University of Louisville, Louisville, KY 40202, USA; (D.M.M.); (H.B.F.); (A.M.)
- Department of Medicine, University of Louisville, Louisville, KY 40202, USA
| | - Dylan A. Goodin
- Department of Bioengineering, University of Louisville, Louisville, KY 40202, USA; (D.A.G.); (J.C.)
| | - Hermann B. Frieboes
- Brown Cancer Center, University of Louisville, Louisville, KY 40202, USA; (D.M.M.); (H.B.F.); (A.M.)
- Department of Bioengineering, University of Louisville, Louisville, KY 40202, USA; (D.A.G.); (J.C.)
| | - Joseph Chen
- Department of Bioengineering, University of Louisville, Louisville, KY 40202, USA; (D.A.G.); (J.C.)
| | - Adrianna Masters
- Brown Cancer Center, University of Louisville, Louisville, KY 40202, USA; (D.M.M.); (H.B.F.); (A.M.)
- Department of Radiation Oncology, University of Louisville, Louisville, KY 40202, USA
| | - Brian J. Williams
- Department of Neurosurgery, University of Louisville, Louisville, KY 40202, USA; (S.J.S.); (B.J.W.)
- Brown Cancer Center, University of Louisville, Louisville, KY 40202, USA; (D.M.M.); (H.B.F.); (A.M.)
| | - Kavitha Yaddanapudi
- Brown Cancer Center, University of Louisville, Louisville, KY 40202, USA; (D.M.M.); (H.B.F.); (A.M.)
- Department of Microbiology and Immunology, University of Louisville, Louisville, KY 40202, USA
- Department of Surgery, University of Louisville, Louisville, KY 40202, USA
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5
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Demicco M, Liu XZ, Leithner K, Fendt SM. Metabolic heterogeneity in cancer. Nat Metab 2024; 6:18-38. [PMID: 38267631 DOI: 10.1038/s42255-023-00963-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 12/06/2023] [Indexed: 01/26/2024]
Abstract
Cancer cells rewire their metabolism to survive during cancer progression. In this context, tumour metabolic heterogeneity arises and develops in response to diverse environmental factors. This metabolic heterogeneity contributes to cancer aggressiveness and impacts therapeutic opportunities. In recent years, technical advances allowed direct characterisation of metabolic heterogeneity in tumours. In addition to the metabolic heterogeneity observed in primary tumours, metabolic heterogeneity temporally evolves along with tumour progression. In this Review, we summarize the mechanisms of environment-induced metabolic heterogeneity. In addition, we discuss how cancer metabolism and the key metabolites and enzymes temporally and functionally evolve during the metastatic cascade and treatment.
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Affiliation(s)
- Margherita Demicco
- Laboratory of Cellular Metabolism and Metabolic Regulation, VIB-KU Leuven Center for Cancer Biology, Leuven, Belgium
- Laboratory of Cellular Metabolism and Metabolic Regulation, Department of Oncology, KU Leuven and Leuven Cancer Institute (LKI), Leuven, Belgium
| | - Xiao-Zheng Liu
- Laboratory of Cellular Metabolism and Metabolic Regulation, VIB-KU Leuven Center for Cancer Biology, Leuven, Belgium
- Laboratory of Cellular Metabolism and Metabolic Regulation, Department of Oncology, KU Leuven and Leuven Cancer Institute (LKI), Leuven, Belgium
| | - Katharina Leithner
- Division of Pulmonology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
- BioTechMed-Graz, Graz, Austria
| | - Sarah-Maria Fendt
- Laboratory of Cellular Metabolism and Metabolic Regulation, VIB-KU Leuven Center for Cancer Biology, Leuven, Belgium.
- Laboratory of Cellular Metabolism and Metabolic Regulation, Department of Oncology, KU Leuven and Leuven Cancer Institute (LKI), Leuven, Belgium.
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6
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Vogel FCE, Chaves-Filho AB, Schulze A. Lipids as mediators of cancer progression and metastasis. NATURE CANCER 2024; 5:16-29. [PMID: 38273023 DOI: 10.1038/s43018-023-00702-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 11/08/2023] [Indexed: 01/27/2024]
Abstract
Metastasis formation is a complex process, involving multiple crucial steps, which are controlled by different regulatory mechanisms. In this context, the contribution of cancer metabolism to the metastatic cascade is being increasingly recognized. This Review focuses on changes in lipid metabolism that contribute to metastasis formation in solid tumors. We discuss the molecular mechanisms by which lipids induce a pro-metastatic phenotype and explore the role of lipids in response to oxidative stress and as signaling molecules. Finally, we reflect on potential avenues to target lipid metabolism to improve the treatment of metastatic cancers.
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Affiliation(s)
- Felix C E Vogel
- Division of Tumor Metabolism and Microenvironment, German Cancer Research Center (DKFZ) and DKFZ-ZMBH Alliance, Heidelberg, Germany
| | - Adriano B Chaves-Filho
- Division of Tumor Metabolism and Microenvironment, German Cancer Research Center (DKFZ) and DKFZ-ZMBH Alliance, Heidelberg, Germany
- Institute of Chemistry, University of São Paulo, São Paulo, Brazil
| | - Almut Schulze
- Division of Tumor Metabolism and Microenvironment, German Cancer Research Center (DKFZ) and DKFZ-ZMBH Alliance, Heidelberg, Germany.
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7
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Mariotto E, Rampazzo E, Bortolozzi R, Rruga F, Zeni I, Manfreda L, Marchioro C, Canton M, Cani A, Magni R, Luchini A, Bresolin S, Viola G, Persano L. Molecular and functional profiling of chemotolerant cells unveils nucleoside metabolism-dependent vulnerabilities in medulloblastoma. Acta Neuropathol Commun 2023; 11:183. [PMID: 37978570 PMCID: PMC10655385 DOI: 10.1186/s40478-023-01679-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 10/26/2023] [Indexed: 11/19/2023] Open
Abstract
Chemotherapy resistance is considered one of the main causes of tumor relapse, still challenging researchers for the identification of the molecular mechanisms sustaining its emergence. Here, we setup and characterized chemotherapy-resistant models of Medulloblastoma (MB), one of the most lethal pediatric brain tumors, to uncover targetable vulnerabilities associated to their resistant phenotype. Integration of proteomic, transcriptomic and kinomic data revealed a significant deregulation of several pathways in resistant MB cells, converging to cell metabolism, RNA/protein homeostasis, and immune response, eventually impacting on patient outcome. Moreover, resistant MB cell response to a large library of compounds through a high-throughput screening (HTS), highlighted nucleoside metabolism as a relevant vulnerability of chemotolerant cells, with peculiar antimetabolites demonstrating increased efficacy against them and even synergism with conventional chemotherapeutics. Our results suggest that drug-resistant cells significantly rewire multiple cellular processes, allowing their adaptation to a chemotoxic environment, nevertheless exposing alternative actionable susceptibilities for their specific targeting.
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Affiliation(s)
- Elena Mariotto
- Department of Women's and Children's Health, University of Padova, Via Giustiniani 3, 35128, Padua, Italy
- Pediatric Research Institute, Corso Stati Uniti 4, 35127, Padua, Italy
- Unit of Biostatistics, Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padova, Via Loredan 18, 35131, Padua, Italy
| | - Elena Rampazzo
- Department of Women's and Children's Health, University of Padova, Via Giustiniani 3, 35128, Padua, Italy.
- Pediatric Research Institute, Corso Stati Uniti 4, 35127, Padua, Italy.
| | - Roberta Bortolozzi
- Department of Women's and Children's Health, University of Padova, Via Giustiniani 3, 35128, Padua, Italy.
- Pediatric Research Institute, Corso Stati Uniti 4, 35127, Padua, Italy.
- Section of Pharmacology, Department of Pharmaceutical and Pharmacological Sciences, University of Padova, Largo Meneghetti 2, 35131, Padua, Italy.
| | - Fatlum Rruga
- Department of Women's and Children's Health, University of Padova, Via Giustiniani 3, 35128, Padua, Italy
- Pediatric Research Institute, Corso Stati Uniti 4, 35127, Padua, Italy
| | - Ilaria Zeni
- Department of Women's and Children's Health, University of Padova, Via Giustiniani 3, 35128, Padua, Italy
| | - Lorenzo Manfreda
- Department of Women's and Children's Health, University of Padova, Via Giustiniani 3, 35128, Padua, Italy
- Pediatric Research Institute, Corso Stati Uniti 4, 35127, Padua, Italy
| | - Chiara Marchioro
- Department of Women's and Children's Health, University of Padova, Via Giustiniani 3, 35128, Padua, Italy
- Pediatric Research Institute, Corso Stati Uniti 4, 35127, Padua, Italy
| | - Martina Canton
- Department of Women's and Children's Health, University of Padova, Via Giustiniani 3, 35128, Padua, Italy
- Pediatric Research Institute, Corso Stati Uniti 4, 35127, Padua, Italy
| | - Alice Cani
- Department of Women's and Children's Health, University of Padova, Via Giustiniani 3, 35128, Padua, Italy
- Pediatric Research Institute, Corso Stati Uniti 4, 35127, Padua, Italy
| | - Ruben Magni
- Center for Applied Proteomics and Molecular Medicine, George Mason University, 10920 George Mason Circle, MSN 1A9, Manassas, VA, 20110, USA
| | - Alessandra Luchini
- Center for Applied Proteomics and Molecular Medicine, George Mason University, 10920 George Mason Circle, MSN 1A9, Manassas, VA, 20110, USA
| | - Silvia Bresolin
- Department of Women's and Children's Health, University of Padova, Via Giustiniani 3, 35128, Padua, Italy
- Pediatric Research Institute, Corso Stati Uniti 4, 35127, Padua, Italy
| | - Giampietro Viola
- Department of Women's and Children's Health, University of Padova, Via Giustiniani 3, 35128, Padua, Italy
- Pediatric Research Institute, Corso Stati Uniti 4, 35127, Padua, Italy
| | - Luca Persano
- Department of Women's and Children's Health, University of Padova, Via Giustiniani 3, 35128, Padua, Italy
- Pediatric Research Institute, Corso Stati Uniti 4, 35127, Padua, Italy
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8
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Bingham PM, Zachar Z. Toward a Unifying Hypothesis for Redesigned Lipid Catabolism as a Clinical Target in Advanced, Treatment-Resistant Carcinomas. Int J Mol Sci 2023; 24:14365. [PMID: 37762668 PMCID: PMC10531647 DOI: 10.3390/ijms241814365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 09/15/2023] [Accepted: 09/18/2023] [Indexed: 09/29/2023] Open
Abstract
We review extensive progress from the cancer metabolism community in understanding the specific properties of lipid metabolism as it is redesigned in advanced carcinomas. This redesigned lipid metabolism allows affected carcinomas to make enhanced catabolic use of lipids in ways that are regulated by oxygen availability and is implicated as a primary source of resistance to diverse treatment approaches. This oxygen control permits lipid catabolism to be an effective energy/reducing potential source under the relatively hypoxic conditions of the carcinoma microenvironment and to do so without intolerable redox side effects. The resulting robust access to energy and reduced potential apparently allow carcinoma cells to better survive and recover from therapeutic trauma. We surveyed the essential features of this advanced carcinoma-specific lipid catabolism in the context of treatment resistance and explored a provisional unifying hypothesis. This hypothesis is robustly supported by substantial preclinical and clinical evidence. This approach identifies plausible routes to the clinical targeting of many or most sources of carcinoma treatment resistance, including the application of existing FDA-approved agents.
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Affiliation(s)
- Paul M. Bingham
- Biochemistry and Cell Biology, Stony Brook University, Stony Brook, NY 11794, USA;
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9
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Baggen J, Jacquemyn M, Persoons L, Vanstreels E, Pye VE, Wrobel AG, Calvaresi V, Martin SR, Roustan C, Cronin NB, Reading E, Thibaut HJ, Vercruysse T, Maes P, De Smet F, Yee A, Nivitchanyong T, Roell M, Franco-Hernandez N, Rhinn H, Mamchak AA, Ah Young-Chapon M, Brown E, Cherepanov P, Daelemans D. TMEM106B is a receptor mediating ACE2-independent SARS-CoV-2 cell entry. Cell 2023; 186:3427-3442.e22. [PMID: 37421949 PMCID: PMC10409496 DOI: 10.1016/j.cell.2023.06.005] [Citation(s) in RCA: 45] [Impact Index Per Article: 45.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 04/24/2023] [Accepted: 06/08/2023] [Indexed: 07/10/2023]
Abstract
SARS-CoV-2 is associated with broad tissue tropism, a characteristic often determined by the availability of entry receptors on host cells. Here, we show that TMEM106B, a lysosomal transmembrane protein, can serve as an alternative receptor for SARS-CoV-2 entry into angiotensin-converting enzyme 2 (ACE2)-negative cells. Spike substitution E484D increased TMEM106B binding, thereby enhancing TMEM106B-mediated entry. TMEM106B-specific monoclonal antibodies blocked SARS-CoV-2 infection, demonstrating a role of TMEM106B in viral entry. Using X-ray crystallography, cryogenic electron microscopy (cryo-EM), and hydrogen-deuterium exchange mass spectrometry (HDX-MS), we show that the luminal domain (LD) of TMEM106B engages the receptor-binding motif of SARS-CoV-2 spike. Finally, we show that TMEM106B promotes spike-mediated syncytium formation, suggesting a role of TMEM106B in viral fusion. Together, our findings identify an ACE2-independent SARS-CoV-2 infection mechanism that involves cooperative interactions with the receptors heparan sulfate and TMEM106B.
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Affiliation(s)
- Jim Baggen
- KU Leuven Department of Microbiology, Immunology and Transplantation, Laboratory of Virology and Chemotherapy, Rega Institute, Leuven 3000, Belgium.
| | - Maarten Jacquemyn
- KU Leuven Department of Microbiology, Immunology and Transplantation, Laboratory of Virology and Chemotherapy, Rega Institute, Leuven 3000, Belgium
| | - Leentje Persoons
- KU Leuven Department of Microbiology, Immunology and Transplantation, Laboratory of Virology and Chemotherapy, Rega Institute, Leuven 3000, Belgium
| | - Els Vanstreels
- KU Leuven Department of Microbiology, Immunology and Transplantation, Laboratory of Virology and Chemotherapy, Rega Institute, Leuven 3000, Belgium
| | - Valerie E Pye
- Chromatin Structure and Mobile DNA Laboratory, Francis Crick Institute, London NW1 1AT, UK
| | - Antoni G Wrobel
- Structural Biology of Disease Processes Laboratory, Francis Crick Institute, London NW1 1AT, UK
| | - Valeria Calvaresi
- Department of Chemistry, Britannia House, 7 Trinity Street, King's College London, London SE1 1DB, UK
| | - Stephen R Martin
- Structural Biology of Disease Processes Laboratory, Francis Crick Institute, London NW1 1AT, UK
| | - Chloë Roustan
- Structural Biology Science Technology Platform, Francis Crick Institute, London NW1 1AT, UK
| | - Nora B Cronin
- LonCEM Facility, Francis Crick Institute, London NW1 1AT, UK
| | - Eamonn Reading
- Department of Chemistry, Britannia House, 7 Trinity Street, King's College London, London SE1 1DB, UK
| | - Hendrik Jan Thibaut
- KU Leuven Department of Microbiology, Immunology and Transplantation, Laboratory of Virology and Chemotherapy, Translational Platform Virology and Chemotherapy, Rega Institute, Leuven 3000, Belgium
| | - Thomas Vercruysse
- KU Leuven Department of Microbiology, Immunology and Transplantation, Laboratory of Virology and Chemotherapy, Translational Platform Virology and Chemotherapy, Rega Institute, Leuven 3000, Belgium
| | - Piet Maes
- KU Leuven Department of Microbiology, Immunology and Transplantation, Laboratory of Clinical and Epidemiological Virology, Rega Institute, Leuven 3000, Belgium
| | - Frederik De Smet
- KU Leuven Department of Imaging and Pathology, Laboratory for Precision Cancer Medicine, Translational Cell and Tissue Research Unit, Leuven 3000, Belgium
| | - Angie Yee
- Alector LLC, 131 Oyster Point Blvd. Suite 600, South San Francisco, CA 94080, USA
| | - Toey Nivitchanyong
- Alector LLC, 131 Oyster Point Blvd. Suite 600, South San Francisco, CA 94080, USA
| | - Marina Roell
- Alector LLC, 131 Oyster Point Blvd. Suite 600, South San Francisco, CA 94080, USA
| | | | - Herve Rhinn
- Alector LLC, 131 Oyster Point Blvd. Suite 600, South San Francisco, CA 94080, USA
| | - Alusha Andre Mamchak
- Alector LLC, 131 Oyster Point Blvd. Suite 600, South San Francisco, CA 94080, USA
| | | | - Eric Brown
- Alector LLC, 131 Oyster Point Blvd. Suite 600, South San Francisco, CA 94080, USA
| | - Peter Cherepanov
- Chromatin Structure and Mobile DNA Laboratory, Francis Crick Institute, London NW1 1AT, UK; Department of Infectious Disease, Section of Virology, Imperial College London, St Mary's Campus, Norfolk Place, London W2 1PG, UK.
| | - Dirk Daelemans
- KU Leuven Department of Microbiology, Immunology and Transplantation, Laboratory of Virology and Chemotherapy, Rega Institute, Leuven 3000, Belgium.
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10
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de Ruiter Swain J, Michalopoulou E, Noch EK, Lukey MJ, Van Aelst L. Metabolic partitioning in the brain and its hijacking by glioblastoma. Genes Dev 2023; 37:681-702. [PMID: 37648371 PMCID: PMC10546978 DOI: 10.1101/gad.350693.123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/01/2023]
Abstract
The different cell types in the brain have highly specialized roles with unique metabolic requirements. Normal brain function requires the coordinated partitioning of metabolic pathways between these cells, such as in the neuron-astrocyte glutamate-glutamine cycle. An emerging theme in glioblastoma (GBM) biology is that malignant cells integrate into or "hijack" brain metabolism, co-opting neurons and glia for the supply of nutrients and recycling of waste products. Moreover, GBM cells communicate via signaling metabolites in the tumor microenvironment to promote tumor growth and induce immune suppression. Recent findings in this field point toward new therapeutic strategies to target the metabolic exchange processes that fuel tumorigenesis and suppress the anticancer immune response in GBM. Here, we provide an overview of the intercellular division of metabolic labor that occurs in both the normal brain and the GBM tumor microenvironment and then discuss the implications of these interactions for GBM therapy.
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Affiliation(s)
- Jed de Ruiter Swain
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA
- Cold Spring Harbor Laboratory School of Biological Sciences, Cold Spring Harbor, New York 11724, USA
| | | | - Evan K Noch
- Department of Neurology, Division of Neuro-oncology, Weill Cornell Medicine, New York, New York 10021, USA
| | - Michael J Lukey
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA;
| | - Linda Van Aelst
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA;
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11
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Martins F, van der Kellen D, Gonçalves LG, Serpa J. Metabolic Profiles Point Out Metabolic Pathways Pivotal in Two Glioblastoma (GBM) Cell Lines, U251 and U-87MG. Biomedicines 2023; 11:2041. [PMID: 37509679 PMCID: PMC10377067 DOI: 10.3390/biomedicines11072041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Revised: 07/06/2023] [Accepted: 07/14/2023] [Indexed: 07/30/2023] Open
Abstract
Glioblastoma (GBM) is the most lethal central nervous system (CNS) tumor, mainly due to its high heterogeneity, invasiveness, and proliferation rate. These tumors remain a therapeutic challenge, and there are still some gaps in the GBM biology literature. Despite the significant amount of knowledge produced by research on cancer metabolism, its implementation in cancer treatment has been limited. In this study, we explored transcriptomics data from the TCGA database to provide new insights for future definition of metabolism-related patterns useful for clinical applications. Moreover, we investigated the impact of key metabolites (glucose, lactate, glutamine, and glutamate) in the gene expression and metabolic profile of two GBM cell lines, U251 and U-87MG, together with the impact of these organic compounds on malignancy cell features. GBM cell lines were able to adapt to the exposure to each tested organic compound. Both cell lines fulfilled glycolysis in the presence of glucose and were able to produce and consume lactate. Glutamine dependency was also highlighted, and glutamine and glutamate availability favored biosynthesis observed by the increase in the expression of genes involved in fatty acid (FA) synthesis. These findings are relevant and point out metabolic pathways to be targeted in GBM and also reinforce that patients' metabolic profiling can be useful in terms of personalized medicine.
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Affiliation(s)
- Filipa Martins
- iNOVA4Health, NOVA Medical School|Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, Campo dos Mártires da Pátria, 130, 1169-056 Lisboa, Portugal
- Instituto Português de Oncologia de Lisboa Francisco Gentil (IPOLFG), Rua Prof Lima Basto, 1099-023 Lisboa, Portugal
| | - David van der Kellen
- iNOVA4Health, NOVA Medical School|Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, Campo dos Mártires da Pátria, 130, 1169-056 Lisboa, Portugal
- Instituto Português de Oncologia de Lisboa Francisco Gentil (IPOLFG), Rua Prof Lima Basto, 1099-023 Lisboa, Portugal
| | - Luís G Gonçalves
- Instituto de Tecnologia Química e Tecnológica (ITQB) António Xavier da Universidade Nova de Lisboa, Av. da República, 2780-157 Oeiras, Portugal
| | - Jacinta Serpa
- iNOVA4Health, NOVA Medical School|Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, Campo dos Mártires da Pátria, 130, 1169-056 Lisboa, Portugal
- Instituto Português de Oncologia de Lisboa Francisco Gentil (IPOLFG), Rua Prof Lima Basto, 1099-023 Lisboa, Portugal
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12
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Bernhard C, Reita D, Martin S, Entz-Werle N, Dontenwill M. Glioblastoma Metabolism: Insights and Therapeutic Strategies. Int J Mol Sci 2023; 24:ijms24119137. [PMID: 37298093 DOI: 10.3390/ijms24119137] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 05/10/2023] [Accepted: 05/18/2023] [Indexed: 06/12/2023] Open
Abstract
Tumor metabolism is emerging as a potential target for cancer therapies. This new approach holds particular promise for the treatment of glioblastoma, a highly lethal brain tumor that is resistant to conventional treatments, for which improving therapeutic strategies is a major challenge. The presence of glioma stem cells is a critical factor in therapy resistance, thus making it essential to eliminate these cells for the long-term survival of cancer patients. Recent advancements in our understanding of cancer metabolism have shown that glioblastoma metabolism is highly heterogeneous, and that cancer stem cells exhibit specific metabolic traits that support their unique functionality. The objective of this review is to examine the metabolic changes in glioblastoma and investigate the role of specific metabolic processes in tumorigenesis, as well as associated therapeutic approaches, with a particular focus on glioma stem cell populations.
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Affiliation(s)
- Chloé Bernhard
- UMR CNRS 7021, Laboratory Bioimaging and Pathologies, Tumoral Signaling and Therapeutic Targets, Faculty of Pharmacy, University of Strasbourg, 67405 lllkirch, France
| | - Damien Reita
- UMR CNRS 7021, Laboratory Bioimaging and Pathologies, Tumoral Signaling and Therapeutic Targets, Faculty of Pharmacy, University of Strasbourg, 67405 lllkirch, France
- Laboratory of Biochemistry and Molecular Biology, Department of Cancer Molecular Genetics, University Hospital of Strasbourg, 67200 Strasbourg, France
| | - Sophie Martin
- UMR CNRS 7021, Laboratory Bioimaging and Pathologies, Tumoral Signaling and Therapeutic Targets, Faculty of Pharmacy, University of Strasbourg, 67405 lllkirch, France
| | - Natacha Entz-Werle
- UMR CNRS 7021, Laboratory Bioimaging and Pathologies, Tumoral Signaling and Therapeutic Targets, Faculty of Pharmacy, University of Strasbourg, 67405 lllkirch, France
- Pediatric Onco-Hematology Unit, University Hospital of Strasbourg, 67098 Strasbourg, France
| | - Monique Dontenwill
- UMR CNRS 7021, Laboratory Bioimaging and Pathologies, Tumoral Signaling and Therapeutic Targets, Faculty of Pharmacy, University of Strasbourg, 67405 lllkirch, France
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13
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Liu A, Aboud O, Dahabiyeh LA, Bloch O, Fiehn O. A pilot study on metabolomic characterization of human glioblastomas and patient plasma. RESEARCH SQUARE 2023:rs.3.rs-2662020. [PMID: 36945517 PMCID: PMC10029122 DOI: 10.21203/rs.3.rs-2662020/v1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2023]
Abstract
Purpose To determine whether recurrent GBMs are metabolically distinct from primary GBM, and whether patient plasma can be used as a liquid biopsy to reflect this difference. Methods In a single center cohort study, tissue and blood samples from 15 patients with glioblastoma (9 glioblastoma tissues at diagnosis, 3 pairs of tissue, and 6 pairs of plasma specimens at diagnosis and at recurrence) were analyzed. Results Several metabolites had significant alternations in both tumor and plasma specimens. In the tissue, the following representative metabolites had a significant increase in peak intensity at recurrence compared to diagnosis: N-alpha-methylhistamine (p = 0.037), glycerol-3-phosphate (p = 0.029), phosphocholine (p = 0.045), and succinic acid (p = 0.025). In patient plasma, metabolites that significantly increased at recurrence included: 2,4-difluorotoluene (p = 0.031), diatrizoic acid (p = 0.032), indole-3-acetate with (p = 0.029), urea (P = 0.025), pseudouridine (p = 0.042), and maltose (p = 0.035). Metabolites that significantly decreased in plasma at recurrence were: eicosenoic acid (p = 0.017), glucose-1-phosphate (p = 0.017), FA 18:2 (linoleic acid) (p = 0.017), arginine (p = 0.036), fatty acids 20:3 (homo-gamma-linolenic acid (p = 0.036), galactosamine (p = 0.007), and FA 18:3 (linolenic acid) (P = 0.012). Principal component analysis showed that the metabolomic profiles differ between tumor tissue and patient plasma. Conclusions Our data suggest that metabolomic profiles of human GBM tissue and patient plasma differ at diagnosis and at recurrence. Many metabolites involved in tumorigenesis and metabolomic flexibility were identified. A larger study using targeted metabolomic assay is warranted to measure the levels of these metabolites, which will help identify the metabolomic signatures in both GBM tissue and patient plasma for risk stratification, clinical outcome prediction, and development of new adjuvant metabolomic-targeting therapy.
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14
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Altea-Manzano P, Doglioni G, Liu Y, Cuadros AM, Nolan E, Fernández-García J, Wu Q, Planque M, Laue KJ, Cidre-Aranaz F, Liu XZ, Marin-Bejar O, Van Elsen J, Vermeire I, Broekaert D, Demeyer S, Spotbeen X, Idkowiak J, Montagne A, Demicco M, Alkan HF, Rabas N, Riera-Domingo C, Richard F, Geukens T, De Schepper M, Leduc S, Hatse S, Lambrechts Y, Kay EJ, Lilla S, Alekseenko A, Geldhof V, Boeckx B, de la Calle Arregui C, Floris G, Swinnen JV, Marine JC, Lambrechts D, Pelechano V, Mazzone M, Zanivan S, Cools J, Wildiers H, Baud V, Grünewald TGP, Ben-David U, Desmedt C, Malanchi I, Fendt SM. A palmitate-rich metastatic niche enables metastasis growth via p65 acetylation resulting in pro-metastatic NF-κB signaling. NATURE CANCER 2023; 4:344-364. [PMID: 36732635 PMCID: PMC7615234 DOI: 10.1038/s43018-023-00513-2] [Citation(s) in RCA: 34] [Impact Index Per Article: 34.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/06/2022] [Accepted: 01/03/2023] [Indexed: 02/04/2023]
Abstract
Metabolic rewiring is often considered an adaptive pressure limiting metastasis formation; however, some nutrients available at distant organs may inherently promote metastatic growth. We find that the lung and liver are lipid-rich environments. Moreover, we observe that pre-metastatic niche formation increases palmitate availability only in the lung, whereas a high-fat diet increases it in both organs. In line with this, targeting palmitate processing inhibits breast cancer-derived lung metastasis formation. Mechanistically, breast cancer cells use palmitate to synthesize acetyl-CoA in a carnitine palmitoyltransferase 1a-dependent manner. Concomitantly, lysine acetyltransferase 2a expression is promoted by palmitate, linking the available acetyl-CoA to the acetylation of the nuclear factor-kappaB subunit p65. Deletion of lysine acetyltransferase 2a or carnitine palmitoyltransferase 1a reduces metastasis formation in lean and high-fat diet mice, and lung and liver metastases from patients with breast cancer show coexpression of both proteins. In conclusion, palmitate-rich environments foster metastases growth by increasing p65 acetylation, resulting in a pro-metastatic nuclear factor-kappaB signaling.
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Affiliation(s)
- Patricia Altea-Manzano
- Laboratory of Cellular Metabolism and Metabolic Regulation, VIB-KU Leuven Center for Cancer Biology, Leuven, Belgium
- Laboratory of Cellular Metabolism and Metabolic Regulation, Department of Oncology, KU Leuven and Leuven Cancer Institute (LKI), Leuven, Belgium
| | - Ginevra Doglioni
- Laboratory of Cellular Metabolism and Metabolic Regulation, VIB-KU Leuven Center for Cancer Biology, Leuven, Belgium
- Laboratory of Cellular Metabolism and Metabolic Regulation, Department of Oncology, KU Leuven and Leuven Cancer Institute (LKI), Leuven, Belgium
| | - Yawen Liu
- Laboratory of Cellular Metabolism and Metabolic Regulation, VIB-KU Leuven Center for Cancer Biology, Leuven, Belgium
- Laboratory of Cellular Metabolism and Metabolic Regulation, Department of Oncology, KU Leuven and Leuven Cancer Institute (LKI), Leuven, Belgium
- Department of Gastroenterology, Affiliated Hospital of Jiangsu University, Jiangsu University, Zhenjiang, China
| | - Alejandro M Cuadros
- Laboratory of Cellular Metabolism and Metabolic Regulation, VIB-KU Leuven Center for Cancer Biology, Leuven, Belgium
- Laboratory of Cellular Metabolism and Metabolic Regulation, Department of Oncology, KU Leuven and Leuven Cancer Institute (LKI), Leuven, Belgium
| | | | - Juan Fernández-García
- Laboratory of Cellular Metabolism and Metabolic Regulation, VIB-KU Leuven Center for Cancer Biology, Leuven, Belgium
- Laboratory of Cellular Metabolism and Metabolic Regulation, Department of Oncology, KU Leuven and Leuven Cancer Institute (LKI), Leuven, Belgium
| | - Qi Wu
- Laboratory of Cellular Metabolism and Metabolic Regulation, VIB-KU Leuven Center for Cancer Biology, Leuven, Belgium
- Laboratory of Cellular Metabolism and Metabolic Regulation, Department of Oncology, KU Leuven and Leuven Cancer Institute (LKI), Leuven, Belgium
- Laboratory of Experimental Oncology, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Mélanie Planque
- Laboratory of Cellular Metabolism and Metabolic Regulation, VIB-KU Leuven Center for Cancer Biology, Leuven, Belgium
- Laboratory of Cellular Metabolism and Metabolic Regulation, Department of Oncology, KU Leuven and Leuven Cancer Institute (LKI), Leuven, Belgium
| | - Kathrin Julia Laue
- Department of Human Molecular Genetics & Biochemistry, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Florencia Cidre-Aranaz
- Hopp-Children's Cancer Center (KiTZ), Heidelberg, Germany
- Division of Translational Pediatric Sarcoma Research, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Xiao-Zheng Liu
- Laboratory of Cellular Metabolism and Metabolic Regulation, VIB-KU Leuven Center for Cancer Biology, Leuven, Belgium
- Laboratory of Cellular Metabolism and Metabolic Regulation, Department of Oncology, KU Leuven and Leuven Cancer Institute (LKI), Leuven, Belgium
| | - Oskar Marin-Bejar
- Laboratory for Molecular Cancer Biology, VIB Center for Cancer Biology, Leuven, Belgium
- Department of Oncology, KU Leuven, Leuven, Belgium
| | - Joke Van Elsen
- Laboratory of Cellular Metabolism and Metabolic Regulation, VIB-KU Leuven Center for Cancer Biology, Leuven, Belgium
- Laboratory of Cellular Metabolism and Metabolic Regulation, Department of Oncology, KU Leuven and Leuven Cancer Institute (LKI), Leuven, Belgium
| | - Ines Vermeire
- Laboratory of Cellular Metabolism and Metabolic Regulation, VIB-KU Leuven Center for Cancer Biology, Leuven, Belgium
- Laboratory of Cellular Metabolism and Metabolic Regulation, Department of Oncology, KU Leuven and Leuven Cancer Institute (LKI), Leuven, Belgium
| | - Dorien Broekaert
- Laboratory of Cellular Metabolism and Metabolic Regulation, VIB-KU Leuven Center for Cancer Biology, Leuven, Belgium
- Laboratory of Cellular Metabolism and Metabolic Regulation, Department of Oncology, KU Leuven and Leuven Cancer Institute (LKI), Leuven, Belgium
| | - Sofie Demeyer
- Laboratory for Molecular Biology of Leukemia, VIB-KU Leuven, Leuven, Belgium
| | - Xander Spotbeen
- Laboratory of Lipid Metabolism and Cancer, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Jakub Idkowiak
- Laboratory of Lipid Metabolism and Cancer, Department of Oncology, KU Leuven, Leuven, Belgium
- Department of Analytical Chemistry, Faculty of Chemical Technology, University of Pardubice, Pardubice, Czech Republic
| | - Aurélie Montagne
- Université Paris Cité, NF-kappaB, Différenciation et Cancer, Paris, France
| | - Margherita Demicco
- Laboratory of Cellular Metabolism and Metabolic Regulation, VIB-KU Leuven Center for Cancer Biology, Leuven, Belgium
- Laboratory of Cellular Metabolism and Metabolic Regulation, Department of Oncology, KU Leuven and Leuven Cancer Institute (LKI), Leuven, Belgium
| | - H Furkan Alkan
- Laboratory of Cellular Metabolism and Metabolic Regulation, VIB-KU Leuven Center for Cancer Biology, Leuven, Belgium
- Laboratory of Cellular Metabolism and Metabolic Regulation, Department of Oncology, KU Leuven and Leuven Cancer Institute (LKI), Leuven, Belgium
| | | | - Carla Riera-Domingo
- Laboratory of Tumor Inflammation and Angiogenesis, VIB Center for Cancer Biology, Leuven, Belgium
- Laboratory of Tumor Inflammation and Angiogenesis, Center for Cancer Biology, Department of Oncology, KU Leuven, Leuven, Belgium
| | - François Richard
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Tatjana Geukens
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Maxim De Schepper
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Sophia Leduc
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Sigrid Hatse
- Laboratory of Experimental Oncology, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Yentl Lambrechts
- Laboratory of Experimental Oncology, Department of Oncology, KU Leuven, Leuven, Belgium
| | | | - Sergio Lilla
- Cancer Research UK Beatson Institute, Glasgow, UK
| | - Alisa Alekseenko
- SciLifeLab, Department of Microbiology, Tumor and Cell Biology, Karolinska Institute, Solna, Sweden
| | - Vincent Geldhof
- Laboratory for Angiogenesis and Vascular Metabolism, VIB-KU Leuven, Leuven, Belgium
| | - Bram Boeckx
- Laboratory of Translational Genetics, VIB Center for Cancer Biology, Leuven, Belgium
- Laboratory of Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Celia de la Calle Arregui
- Laboratory of Cellular Metabolism and Metabolic Regulation, VIB-KU Leuven Center for Cancer Biology, Leuven, Belgium
- Laboratory of Cellular Metabolism and Metabolic Regulation, Department of Oncology, KU Leuven and Leuven Cancer Institute (LKI), Leuven, Belgium
| | - Giuseppe Floris
- Department of Imaging and Pathology, Laboratory of Translational Cell & Tissue Research, KU Leuven, Leuven, Belgium
- Department of Pathology, University Hospitals Leuven, KU Leuven, Leuven, Belgium
| | - Johannes V Swinnen
- Laboratory of Lipid Metabolism and Cancer, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Jean-Christophe Marine
- Laboratory for Molecular Cancer Biology, VIB Center for Cancer Biology, Leuven, Belgium
- Department of Oncology, KU Leuven, Leuven, Belgium
| | - Diether Lambrechts
- Laboratory of Translational Genetics, VIB Center for Cancer Biology, Leuven, Belgium
- Laboratory of Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Vicent Pelechano
- SciLifeLab, Department of Microbiology, Tumor and Cell Biology, Karolinska Institute, Solna, Sweden
| | - Massimiliano Mazzone
- Laboratory of Tumor Inflammation and Angiogenesis, VIB Center for Cancer Biology, Leuven, Belgium
- Laboratory of Tumor Inflammation and Angiogenesis, Center for Cancer Biology, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Sara Zanivan
- Cancer Research UK Beatson Institute, Glasgow, UK
- School of Cancer Sciences, University of Glasgow, Glasgow, UK
| | - Jan Cools
- Laboratory for Molecular Biology of Leukemia, VIB-KU Leuven, Leuven, Belgium
| | - Hans Wildiers
- Laboratory of Experimental Oncology, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Véronique Baud
- Université Paris Cité, NF-kappaB, Différenciation et Cancer, Paris, France
| | - Thomas G P Grünewald
- Hopp-Children's Cancer Center (KiTZ), Heidelberg, Germany
- Division of Translational Pediatric Sarcoma Research, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Heidelberg, Germany
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Uri Ben-David
- Department of Human Molecular Genetics & Biochemistry, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Christine Desmedt
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
| | | | - Sarah-Maria Fendt
- Laboratory of Cellular Metabolism and Metabolic Regulation, VIB-KU Leuven Center for Cancer Biology, Leuven, Belgium.
- Laboratory of Cellular Metabolism and Metabolic Regulation, Department of Oncology, KU Leuven and Leuven Cancer Institute (LKI), Leuven, Belgium.
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