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      Macropinocytosis requires Gal-3 in a subset of patient-derived glioblastoma stem cells

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          Abstract

          Recently, we involved the carbohydrate-binding protein Galectin-3 (Gal-3) as a druggable target for KRAS-mutant-addicted lung and pancreatic cancers. Here, using glioblastoma patient-derived stem cells (GSCs), we identify and characterize a subset of Gal-3 high glioblastoma (GBM) tumors mainly within the mesenchymal subtype that are addicted to Gal-3-mediated macropinocytosis. Using both genetic and pharmacologic inhibition of Gal-3, we showed a significant decrease of GSC macropinocytosis activity, cell survival and invasion, in vitro and in vivo. Mechanistically, we demonstrate that Gal-3 binds to RAB10, a member of the RAS superfamily of small GTPases, and β1 integrin, which are both required for macropinocytosis activity and cell survival. Finally, by defining a Gal-3/macropinocytosis molecular signature, we could predict sensitivity to this dependency pathway and provide proof-of-principle for innovative therapeutic strategies to exploit this Achilles’ heel for a significant and unique subset of GBM patients.

          Abstract

          Seguin et al demonstrated in glioblastoma patient-derived stem cells that a subset of glioblastoma tumours is dependent on macropinocytosis mediated survival through a Galectin-3/RAB10/beta 1 integrin axis. They used both genetic and pharmacologic inhibition of Galectin-3 in vivo and in vitro to identify underlying mechanisms and define a Galectin-3/macropinocytosis molecular signature, which could inform the development of anti-tumour therapeutic strategies.

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          Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources.

          DAVID bioinformatics resources consists of an integrated biological knowledgebase and analytic tools aimed at systematically extracting biological meaning from large gene/protein lists. This protocol explains how to use DAVID, a high-throughput and integrated data-mining environment, to analyze gene lists derived from high-throughput genomic experiments. The procedure first requires uploading a gene list containing any number of common gene identifiers followed by analysis using one or more text and pathway-mining tools such as gene functional classification, functional annotation chart or clustering and functional annotation table. By following this protocol, investigators are able to gain an in-depth understanding of the biological themes in lists of genes that are enriched in genome-scale studies.
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            The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary.

            The 2016 World Health Organization Classification of Tumors of the Central Nervous System is both a conceptual and practical advance over its 2007 predecessor. For the first time, the WHO classification of CNS tumors uses molecular parameters in addition to histology to define many tumor entities, thus formulating a concept for how CNS tumor diagnoses should be structured in the molecular era. As such, the 2016 CNS WHO presents major restructuring of the diffuse gliomas, medulloblastomas and other embryonal tumors, and incorporates new entities that are defined by both histology and molecular features, including glioblastoma, IDH-wildtype and glioblastoma, IDH-mutant; diffuse midline glioma, H3 K27M-mutant; RELA fusion-positive ependymoma; medulloblastoma, WNT-activated and medulloblastoma, SHH-activated; and embryonal tumour with multilayered rosettes, C19MC-altered. The 2016 edition has added newly recognized neoplasms, and has deleted some entities, variants and patterns that no longer have diagnostic and/or biological relevance. Other notable changes include the addition of brain invasion as a criterion for atypical meningioma and the introduction of a soft tissue-type grading system for the now combined entity of solitary fibrous tumor / hemangiopericytoma-a departure from the manner by which other CNS tumors are graded. Overall, it is hoped that the 2016 CNS WHO will facilitate clinical, experimental and epidemiological studies that will lead to improvements in the lives of patients with brain tumors.
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              Radiotherapy plus Concomitant and Adjuvant Temozolomide for Glioblastoma

              Glioblastoma, the most common primary brain tumor in adults, is usually rapidly fatal. The current standard of care for newly diagnosed glioblastoma is surgical resection to the extent feasible, followed by adjuvant radiotherapy. In this trial we compared radiotherapy alone with radiotherapy plus temozolomide, given concomitantly with and after radiotherapy, in terms of efficacy and safety. Patients with newly diagnosed, histologically confirmed glioblastoma were randomly assigned to receive radiotherapy alone (fractionated focal irradiation in daily fractions of 2 Gy given 5 days per week for 6 weeks, for a total of 60 Gy) or radiotherapy plus continuous daily temozolomide (75 mg per square meter of body-surface area per day, 7 days per week from the first to the last day of radiotherapy), followed by six cycles of adjuvant temozolomide (150 to 200 mg per square meter for 5 days during each 28-day cycle). The primary end point was overall survival. A total of 573 patients from 85 centers underwent randomization. The median age was 56 years, and 84 percent of patients had undergone debulking surgery. At a median follow-up of 28 months, the median survival was 14.6 months with radiotherapy plus temozolomide and 12.1 months with radiotherapy alone. The unadjusted hazard ratio for death in the radiotherapy-plus-temozolomide group was 0.63 (95 percent confidence interval, 0.52 to 0.75; P<0.001 by the log-rank test). The two-year survival rate was 26.5 percent with radiotherapy plus temozolomide and 10.4 percent with radiotherapy alone. Concomitant treatment with radiotherapy plus temozolomide resulted in grade 3 or 4 hematologic toxic effects in 7 percent of patients. The addition of temozolomide to radiotherapy for newly diagnosed glioblastoma resulted in a clinically meaningful and statistically significant survival benefit with minimal additional toxicity. Copyright 2005 Massachusetts Medical Society.
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                Author and article information

                Contributors
                Erika.cosset@unige.ch
                Journal
                Commun Biol
                Commun Biol
                Communications Biology
                Nature Publishing Group UK (London )
                2399-3642
                10 June 2021
                10 June 2021
                2021
                : 4
                : 718
                Affiliations
                [1 ]GRID grid.460782.f, ISNI 0000 0004 4910 6551, University Côte d’Azur, CNRS UMR7284, INSERM U1081, Institute for Research on Cancer and Aging (IRCAN), ; Nice, France
                [2 ]GRID grid.8591.5, ISNI 0000 0001 2322 4988, Laboratory of Tumor Immunology, Department of Oncology, Center for Translational Research in Onco-Hematology, Swiss Cancer Center Léman (SCCL), , Geneva University Hospitals, University of Geneva, ; Geneva, Switzerland
                [3 ]GRID grid.8591.5, ISNI 0000 0001 2322 4988, Laboratory of Immunobiology of brain tumors, Center for Translational Research in Onco-Hematology, , Geneva University Hospitals, and University of Geneva, ; Geneva, Switzerland
                [4 ]GRID grid.266100.3, ISNI 0000 0001 2107 4242, Department of Surgery, Moores Cancer Center, , University of California San Diego, ; La Jolla, CA USA
                [5 ]GRID grid.8591.5, ISNI 0000 0001 2322 4988, Department of Cell Physiology and Metabolism, Medical School, , University of Geneva, ; Geneva, Switzerland
                [6 ]GRID grid.8591.5, ISNI 0000 0001 2322 4988, Department of Pathology and Immunology, Medical School, , University of Geneva, Geneva, ; Geneva, Switzerland
                [7 ]GRID grid.66875.3a, ISNI 0000 0004 0459 167X, Department of Radiation Oncology, Mayo Clinic, ; Rochester, MN USA
                Author information
                http://orcid.org/0000-0002-8402-192X
                http://orcid.org/0000-0003-1166-9618
                http://orcid.org/0000-0002-7909-5617
                http://orcid.org/0000-0001-7489-4885
                http://orcid.org/0000-0001-5481-6556
                Article
                2258
                10.1038/s42003-021-02258-z
                8192788
                34112916
                5f86f5e0-9da4-443b-8ffb-ba4963f7808d
                © The Author(s) 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 10 December 2020
                : 21 May 2021
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                © The Author(s) 2021

                cns cancer,cancer stem cells
                cns cancer, cancer stem cells

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