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      Targeting S100A9 protein affects mTOR-ER stress signaling and increases venetoclax sensitivity in Acute Myeloid Leukemia

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          Abstract

          Acute Myeloid Leukemia (AML) is a heterogeneous disease with limited treatment options and a high demand for novel targeted therapies. Since myeloid-related protein S100A9 is abundantly expressed in AML, we aimed to unravel the therapeutic impact and underlying mechanisms of targeting both intracellular and extracellular S100A9 protein in AML cell lines and primary patient samples. S100A9 silencing in AML cell lines resulted in increased apoptosis and reduced AML cell viability and proliferation. These therapeutic effects were associated with a decrease in mTOR and endoplasmic reticulum stress signaling. Comparable results on AML cell proliferation and mTOR signaling could be observed using the clinically available S100A9 inhibitor tasquinimod. Interestingly, while siRNA-mediated targeting of S100A9 affected both extracellular acidification and mitochondrial metabolism, tasquinimod only affected the mitochondrial function of AML cells. Finally, we found that S100A9-targeting approaches could significantly increase venetoclax sensitivity in AML cells, which was associated with a downregulation of BCL-2 and c-MYC in the combination group compared to single agent therapy. This study identifies S100A9 as a novel molecular target to treat AML and supports the therapeutic evaluation of tasquinimod in venetoclax-based regimens for AML patients.

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          Most cited references36

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          Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles

          Although genomewide RNA expression analysis has become a routine tool in biomedical research, extracting biological insight from such information remains a major challenge. Here, we describe a powerful analytical method called Gene Set Enrichment Analysis (GSEA) for interpreting gene expression data. The method derives its power by focusing on gene sets, that is, groups of genes that share common biological function, chromosomal location, or regulation. We demonstrate how GSEA yields insights into several cancer-related data sets, including leukemia and lung cancer. Notably, where single-gene analysis finds little similarity between two independent studies of patient survival in lung cancer, GSEA reveals many biological pathways in common. The GSEA method is embodied in a freely available software package, together with an initial database of 1,325 biologically defined gene sets.
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            GEPIA: a web server for cancer and normal gene expression profiling and interactive analyses

            Abstract Tremendous amount of RNA sequencing data have been produced by large consortium projects such as TCGA and GTEx, creating new opportunities for data mining and deeper understanding of gene functions. While certain existing web servers are valuable and widely used, many expression analysis functions needed by experimental biologists are still not adequately addressed by these tools. We introduce GEPIA (Gene Expression Profiling Interactive Analysis), a web-based tool to deliver fast and customizable functionalities based on TCGA and GTEx data. GEPIA provides key interactive and customizable functions including differential expression analysis, profiling plotting, correlation analysis, patient survival analysis, similar gene detection and dimensionality reduction analysis. The comprehensive expression analyses with simple clicking through GEPIA greatly facilitate data mining in wide research areas, scientific discussion and the therapeutic discovery process. GEPIA fills in the gap between cancer genomics big data and the delivery of integrated information to end users, thus helping unleash the value of the current data resources. GEPIA is available at http://gepia.cancer-pku.cn/.
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              mTOR Signaling in Growth, Metabolism, and Disease.

              The mechanistic target of rapamycin (mTOR) coordinates eukaryotic cell growth and metabolism with environmental inputs, including nutrients and growth factors. Extensive research over the past two decades has established a central role for mTOR in regulating many fundamental cell processes, from protein synthesis to autophagy, and deregulated mTOR signaling is implicated in the progression of cancer and diabetes, as well as the aging process. Here, we review recent advances in our understanding of mTOR function, regulation, and importance in mammalian physiology. We also highlight how the mTOR signaling network contributes to human disease and discuss the current and future prospects for therapeutically targeting mTOR in the clinic.
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                Author and article information

                Contributors
                Kim.De.Veirman@vub.be
                Journal
                Blood Cancer J
                Blood Cancer J
                Blood Cancer Journal
                Nature Publishing Group UK (London )
                2044-5385
                18 December 2023
                18 December 2023
                December 2023
                : 13
                : 1
                : 188
                Affiliations
                [1 ]Laboratory for Hematology and Immunology, Department of Biomedical Sciences, Vrije Universiteit Brussel (VUB), ( https://ror.org/006e5kg04) Laarbeeklaan 103, Building D, 1090 Brussel, Belgium
                [2 ]Translational Oncology Research Center, Vrije Universiteit Brussel (VUB), ( https://ror.org/006e5kg04) Laarbeeklaan 103, Building D, 1090 Brussel, Belgium
                [3 ]Laboratory of Myeloid Cell Immunology, VIB Center for Inflammation Research, ( https://ror.org/04q4ydz28) Pleinlaan 2, 1050 Brussels, Belgium
                [4 ]Department of Clinical Hematology, Universitair Ziekenhuis Brussel (UZ Brussel), Vrije Universiteit Brussel, ( https://ror.org/006e5kg04) Brussels, Belgium. Laarbeeklaan 101, 1090 Brussel, Belgium
                [5 ]Neuro-Aging & Viro-Immunotherapy, Center for Neurosciences, Vrije Universiteit Brussel (VUB), ( https://ror.org/006e5kg04) Laarbeeklaan 103, 1090 Brussel, Belgium
                [6 ]GRID grid.410566.0, ISNI 0000 0004 0626 3303, Department of Hematology, , Ghent University Hospital, Faculty of Medicine and Health Sciences, Ghent University, ; 9000 Ghent, Belgium
                [7 ]Active Biotech AB, ( https://ror.org/03v3jkw12) Lund, Sweden. Scheelevägen 22, 22363 Lund, Sweden
                [8 ]Laboratory for Molecular and Cellular Therapy, Department of Biomedical Sciences, Vrije Universiteit Brussel (VUB), ( https://ror.org/006e5kg04) Laarbeeklaan 103, 1090 Brussel, Belgium
                [9 ]Clinical Sciences, Research Group Reproduction and Genetics, Centre for Medical Genetics, Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), ( https://ror.org/006e5kg04) Laarbeeklaan 103, 1090 Brussel, Belgium
                Author information
                http://orcid.org/0000-0003-4012-4617
                http://orcid.org/0000-0002-0805-6581
                http://orcid.org/0000-0002-8418-5879
                http://orcid.org/0000-0001-8906-2790
                http://orcid.org/0000-0002-1313-6121
                Article
                962
                10.1038/s41408-023-00962-z
                10728073
                38110349
                ba94170b-74a8-4216-95f3-e35f409f0e5d
                © The Author(s) 2023

                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
                : 8 August 2023
                : 30 November 2023
                : 1 December 2023
                Funding
                Funded by: FWO Vlaanderen (12I0921N)
                Funded by: FundRef https://doi.org/10.13039/501100010890, CSC | Chinese Government Scholarship;
                Award ID: NA
                Award Recipient :
                Funded by: FWO Vlaanderen (1159622N)
                Funded by: FWO Vlaanderen (12B3223N)
                Funded by: FWO Vlaanderen (I001420N)
                Categories
                Article
                Custom metadata
                © Springer Nature Limited 2023

                Oncology & Radiotherapy
                targeted therapies,cancer metabolism,acute myeloid leukaemia
                Oncology & Radiotherapy
                targeted therapies, cancer metabolism, acute myeloid leukaemia

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