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      Prognosis of ovarian cancer is associated with effector memory CD8 + T cell accumulation in ascites, CXCL9 levels and activation-triggered signal transduction in T cells

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          ABSTRACT

          The accumulation of intratumoral CD8 + T cells is associated with the survival of high grade serous ovarian carcinoma patients, but it is unclear which CD8 + T cell subsets contribute to this effect and how they are affected by the peritoneal tumor microenvironment. Here, we provide evidence for a functional link between long relapse-free survival, accumulation of CD8 + effector memory T (T EM) cells in peritoneal effusion (ascites), and the level of the CD8 + T EM attracting chemokine CXCL9, produced by macrophages as a major source. We also propose a novel mechanism by which the tumor microenvironment could contribute to T cell dysfunction and shorter survival, i.e., diminished expression levels of essential signaling proteins, including STAT5B, PLCγ1 and NFATc2. CD8 + T EM cells in ascites, CXCL9 levels and the expression of crucial signal transduction proteins may therefore be important biomarkers to gauge the efficiency of immune therapies and potentially represent therapeutic targets.

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          Most cited references23

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          Inhibiting glycolytic metabolism enhances CD8+ T cell memory and antitumor function.

          Naive CD8+ T cells rely upon oxidation of fatty acids as a primary source of energy. After antigen encounter, T cells shift to a glycolytic metabolism to sustain effector function. It is unclear, however, whether changes in glucose metabolism ultimately influence the ability of activated T cells to become long-lived memory cells. We used a fluorescent glucose analog, 2-NBDG, to quantify glucose uptake in activated CD8+ T cells. We found that cells exhibiting limited glucose incorporation had a molecular profile characteristic of memory precursor cells and an increased capacity to enter the memory pool compared with cells taking up high amounts of glucose. Accordingly, enforcing glycolytic metabolism by overexpressing the glycolytic enzyme phosphoglycerate mutase-1 severely impaired the ability of CD8+ T cells to form long-term memory. Conversely, activation of CD8+ T cells in the presence of an inhibitor of glycolysis, 2-deoxyglucose, enhanced the generation of memory cells and antitumor functionality. Our data indicate that augmenting glycolytic flux drives CD8+ T cells toward a terminally differentiated state, while its inhibition preserves the formation of long-lived memory CD8+ T cells. These results have important implications for improving the efficacy of T cell-based therapies against chronic infectious diseases and cancer.
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            PANTHER version 7: improved phylogenetic trees, orthologs and collaboration with the Gene Ontology Consortium

            Protein Analysis THrough Evolutionary Relationships (PANTHER) is a comprehensive software system for inferring the functions of genes based on their evolutionary relationships. Phylogenetic trees of gene families form the basis for PANTHER and these trees are annotated with ontology terms describing the evolution of gene function from ancestral to modern day genes. One of the main applications of PANTHER is in accurate prediction of the functions of uncharacterized genes, based on their evolutionary relationships to genes with functions known from experiment. The PANTHER website, freely available at http://www.pantherdb.org, also includes software tools for analyzing genomic data relative to known and inferred gene functions. Since 2007, there have been several new developments to PANTHER: (i) improved phylogenetic trees, explicitly representing speciation and gene duplication events, (ii) identification of gene orthologs, including least diverged orthologs (best one-to-one pairs), (iii) coverage of more genomes (48 genomes, up to 87% of genes in each genome; see http://www.pantherdb.org/panther/summaryStats.jsp), (iv) improved support for alternative database identifiers for genes, proteins and microarray probes and (v) adoption of the SBGN standard for display of biological pathways. In addition, PANTHER trees are being annotated with gene function as part of the Gene Ontology Reference Genome project, resulting in an increasing number of curated functional annotations.
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              Phenotypic and Functional Separation of Memory and Effector Human CD8+ T Cells

              Human CD8+ memory- and effector-type T cells are poorly defined. We show here that, next to a naive compartment, two discrete primed subpopulations can be found within the circulating human CD8+ T cell subset. First, CD45RA−CD45R0+ cells are reminiscent of memory-type T cells in that they express elevated levels of CD95 (Fas) and the integrin family members CD11a, CD18, CD29, CD49d, and CD49e, compared to naive CD8+ T cells, and are able to secrete not only interleukin (IL) 2 but also interferon γ, tumor necrosis factor α, and IL-4. This subset does not exert cytolytic activity without prior in vitro stimulation but does contain virus-specific cytotoxic T lymphocyte (CTL) precursors. A second primed population is characterized by CD45RA expression with concomitant absence of expression of the costimulatory molecules CD27 and CD28. The CD8+CD45RA+CD27− population contains T cells expressing high levels of CD11a, CD11b, CD18, and CD49d, whereas CD62L (L-selectin) is not expressed. These T cells do not secrete IL-2 or -4 but can produce IFN-γ and TNF-α. In accordance with this finding, cells contained within this subpopulation depend for proliferation on exogenous growth factors such as IL-2 and -15. Interestingly, CD8+CD45RA+CD27− cells parallel effector CTLs, as they abundantly express Fas-ligand mRNA, contain perforin and granzyme B, and have high cytolytic activity without in vitro prestimulation. Based on both phenotypic and functional properties, we conclude that memory- and effector-type T cells can be separated as distinct entities within the human CD8+ T cell subset.
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                Author and article information

                Journal
                Oncoimmunology
                Oncoimmunology
                KONI
                koni20
                Oncoimmunology
                Taylor & Francis
                2162-4011
                2162-402X
                2018
                15 March 2018
                15 March 2018
                : 7
                : 5
                : e1424672
                Affiliations
                [a ]Institute of Molecular Biology and Tumor Research, Center for Tumor Biology and Immunology, Philipps University Marburg , Marburg, Germany
                [b ]Clinic for Gynecology, Gynecological Oncology and Gynecological Endocrinology, Center for Tumor Biology and Immunology (ZTI), Philipps University Marburg , Marburg, Germany
                [c ]FACS Core Facility, Biomedical Research Center, Philipps University Marburg , Marburg, Germany
                [d ]Institute of Medical Microbiology and Hygiene, Biomedical Research Center, Philipps University Marburg , Marburg, Germany
                [e ]Department of Gynecology and Obstetrics, Klinikum rechts der Isar, Technical University of Munich , Munich, Germany
                [f ]Clinic for Gynecology, Gynecological Oncology and Gynecological Endocrinology, University Hospital of Giessen and Marburg (UKGM) , Marburg, Germany
                [g ]Institute of Pharmacology, Biochemical-Pharmacological Center (BPC), Philipps University Marburg , Marburg, Germany
                [h ]Department of Pharmacology, Max-Planck-Institute for Heart and Lung Research , Bad Nauheim, Germany
                Author notes
                CONTACT Magdalena Huber hubermag@ 123456staff.uni-marburg.de Institute for Medical Microbiology and Hospital Hygiene, Biomedical Research Center, Philipps University Marburg , Hans-Meerwein-Stra β, e 2, Marburg 35043, Germany
                Rolf Müller rmueller@ 123456imt.uni-marburg.de Institute of Molecular Biology and Tumor Research, Center for Tumor Biology and Immunology, Philipps University Marburg , Hans-Meerwein-Stra β, e 3, Marburg 35043, Germany

                Supplemental data for this article can be accessed on the publisher's website.

                [†]

                Equal contribution and corresponding authors.

                Author information
                https://orcid.org/0000-0002-1141-7499
                Article
                1424672
                10.1080/2162402X.2018.1424672
                5927536
                29721385
                7eef788c-98da-4ff5-9b09-1c2ee0de5015
                © 2018 The Author(s). Published with license by Taylor & Francis Group, LLC

                This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License ( http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.

                History
                : 22 September 2017
                : 19 December 2017
                : 3 January 2018
                Page count
                Figures: 4, Tables: 0, Equations: 0, References: 48, Pages: 9
                Funding
                Funded by: UKGM
                This work was supported by grants from the Universitätsklinikum Giessen und Marburg (UKGM) to SL and SR and to MH and SR.
                Categories
                Brief Report

                Immunology
                cxcl9,ovarian carcinoma,t effector memory cells,tumor-associated macrophages
                Immunology
                cxcl9, ovarian carcinoma, t effector memory cells, tumor-associated macrophages

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