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      Expression of KLRG1 and CD127 defines distinct CD8 + subsets that differentially impact patient outcome in follicular lymphoma

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          Abstract

          Background

          CD8 + T-lymphocyte subsets defined by killer lectin-like receptor G1 (KLRG1) and CD127 expression have been reported to have an important role in infection, but their role in the setting of lymphoid malignancies, specifically follicular lymphoma (FL), has not been studied.

          Methods

          To characterize the phenotype of KLRG1/CD127-defined CD8 + subsets, surface and intracellular markers were measured by flow cytometry and Cytometry by time of flight (CyTOF), and the transcriptional profile of these cells was determined by CITE-Seq (Cellular Indexing of Transcriptomes and Epitopes by Sequencing). The functional capacity of each subset was determined, as was their impact on overall survival (OS) and event-free survival (EFS) of patients with FL.

          Results

          We found that intratumoral CD8 + cells in FL are skewed toward effector cell subsets, particularly KLRG +CD127 - and KLRG1 -CD127 - cells over memory cell subsets, such as KLRG1 -CD127 + and KLRG1 +CD127 + cells. While effector subsets exhibited increased capacity to produce cytokines/granules when compared with memory subsets, their proliferative capacity and viability were found to be substantially inferior. Clinically, a skewed distribution of intratumoral CD8 + T cells favoring effector subtypes was associated with an inferior outcome in patients with FL. Increased numbers of CD127 +KLRG1 - and CD127 +KLRG1 + were significantly associated with a favorable OS and EFS, while CD127 -KLRG1 - correlated with a poor EFS and OS in patients with FL. Furthermore, we demonstrated that interleukin (IL)-15 promotes CD127 -KLRG1 + cell development in the presence of dendritic cells via a phosphoinositide 3-kinase (PI3K)-dependent mechanism, and treatment of CD8 + T cells with a PI3K inhibitor downregulated the transcription factors responsible for CD127 -KLRG1 + differentiation.

          Conclusions

          Taken together, these results reveal not only a biological and prognostic role for KLRG1/CD127-defined CD8 + subsets in FL but also a potential role for PI3K inhibitors to manipulate the differentiation of CD8 + T cells, thereby promoting a more effective antitumor immune response.

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          Most cited references50

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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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            clusterProfiler: an R package for comparing biological themes among gene clusters.

            Increasing quantitative data generated from transcriptomics and proteomics require integrative strategies for analysis. Here, we present an R package, clusterProfiler that automates the process of biological-term classification and the enrichment analysis of gene clusters. The analysis module and visualization module were combined into a reusable workflow. Currently, clusterProfiler supports three species, including humans, mice, and yeast. Methods provided in this package can be easily extended to other species and ontologies. The clusterProfiler package is released under Artistic-2.0 License within Bioconductor project. The source code and vignette are freely available at http://bioconductor.org/packages/release/bioc/html/clusterProfiler.html.
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              Targeting PI3K in cancer: mechanisms and advances in clinical trials

              Phosphatidylinositol-3-kinase (PI3K)/AKT/mammalian target of rapamycin (mTOR) signaling is one of the most important intracellular pathways, which can be considered as a master regulator for cancer. Enormous efforts have been dedicated to the development of drugs targeting PI3K signaling, many of which are currently employed in clinical trials evaluation, and it is becoming increasingly clear that PI3K inhibitors are effective in inhibiting tumor progression. PI3K inhibitors are subdivided into dual PI3K/mTOR inhibitors, pan-PI3K inhibitors and isoform-specific inhibitors. In this review, we performed a critical review to summarize the role of the PI3K pathway in tumor development, recent PI3K inhibitors development based on clinical trials, and the mechanisms of resistance to PI3K inhibition.
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                Author and article information

                Journal
                J Immunother Cancer
                J Immunother Cancer
                jitc
                jitc
                Journal for Immunotherapy of Cancer
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2051-1426
                2021
                5 July 2021
                : 9
                : 7
                : e002662
                Affiliations
                [1 ]departmentDepartment of Immunology , Medical College, China Three Gorges University , Yichang, Hubei, People's Republic of China
                [2 ]departmentDivision of Hematology and Internal Medicine , Mayo Clinic , Rochester, MN, USA
                Author notes
                [Correspondence to ] Dr Zhi-Zhang Yang; yang.zhizhang@ 123456mayo.edu ; Dr Stephen M Ansell; ansell.stephen@ 123456mayo.edu

                Z-ZY and SMA are joint senior authors.

                HW and XT are joint first authors.

                Author information
                http://orcid.org/0000-0002-1468-2300
                Article
                jitc-2021-002662
                10.1136/jitc-2021-002662
                8258669
                34226281
                ea4683d4-c871-4a6b-97f5-06396dd0499f
                © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 02 June 2021
                Funding
                Funded by: Jaime Erin Follicular Lymphoma Consortium, Department of Defense;
                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: P50 CA97274
                Categories
                Basic Tumor Immunology
                1506
                2434
                Original research
                Custom metadata
                unlocked

                tumor microenvironment,t-lymphocytes,lymphocytes,tumor-infiltrating,immunologic memory,immunity,cellular

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