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      Investigating immune and non-immune cell interactions in head and neck tumors by single-cell RNA sequencing

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          Abstract

          Head and neck squamous cell carcinoma (HNSCC) is characterized by complex relations between stromal, epithelial, and immune cells within the tumor microenvironment (TME). To enable the development of more efficacious therapies, we aim to study the heterogeneity, signatures of unique cell populations, and cell-cell interactions of non-immune and immune cell populations in 6 human papillomavirus (HPV) + and 12 HPV HNSCC patient tumor and matched peripheral blood specimens using single-cell RNA sequencing. Using this dataset of 134,606 cells, we show cell type-specific signatures associated with inflammation and HPV status, describe the negative prognostic value of fibroblasts with elastic differentiation specifically in the HPV + TME, predict therapeutically targetable checkpoint receptor-ligand interactions, and show that tumor-associated macrophages are dominant contributors of PD-L1 and other immune checkpoint ligands in the TME. We present a comprehensive single-cell view of cell-intrinsic mechanisms and cell-cell communication shaping the HNSCC microenvironment.

          Abstract

          The tumor microenvironment (TME) has an important role in Head and Neck Squamous Cell Carcinoma (HNSCC) progression. Here, using single-cell RNA sequencing and multiplexed imaging, the authors report the cellular complexity of the TME in patients with HNSCC, exploring inflammatory status, stromal heterogeneity and immune checkpoint receptor-ligand interactions.

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          Most cited references69

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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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            Fitting Linear Mixed-Effects Models Usinglme4

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              Hallmarks of Cancer: The Next Generation

              The hallmarks of cancer comprise six biological capabilities acquired during the multistep development of human tumors. The hallmarks constitute an organizing principle for rationalizing the complexities of neoplastic disease. They include sustaining proliferative signaling, evading growth suppressors, resisting cell death, enabling replicative immortality, inducing angiogenesis, and activating invasion and metastasis. Underlying these hallmarks are genome instability, which generates the genetic diversity that expedites their acquisition, and inflammation, which fosters multiple hallmark functions. Conceptual progress in the last decade has added two emerging hallmarks of potential generality to this list-reprogramming of energy metabolism and evading immune destruction. In addition to cancer cells, tumors exhibit another dimension of complexity: they contain a repertoire of recruited, ostensibly normal cells that contribute to the acquisition of hallmark traits by creating the "tumor microenvironment." Recognition of the widespread applicability of these concepts will increasingly affect the development of new means to treat human cancer. Copyright © 2011 Elsevier Inc. All rights reserved.
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                Author and article information

                Contributors
                ferrisrl@upmc.edu
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                17 December 2021
                17 December 2021
                2021
                : 12
                : 7338
                Affiliations
                [1 ]GRID grid.5718.b, ISNI 0000 0001 2187 5445, Department of Otorhinolaryngology, Head and Neck Surgery, , University Hospital Essen, University Duisburg-Essen, ; Essen, Germany
                [2 ]GRID grid.21925.3d, ISNI 0000 0004 1936 9000, UPMC Hillman Cancer Center, , University of Pittsburgh, ; Pittsburgh, PA USA
                [3 ]GRID grid.478063.e, ISNI 0000 0004 0456 9819, Tumor Microenvironment Center, UPMC Hillman Cancer Center, ; Pittsburgh, PA USA
                [4 ]GRID grid.21925.3d, ISNI 0000 0004 1936 9000, Department of Otolaryngology, , University of Pittsburgh, ; Pittsburgh, PA USA
                [5 ]GRID grid.21925.3d, ISNI 0000 0004 1936 9000, Department of Immunology, , University of Pittsburgh, ; Pittsburgh, PA USA
                [6 ]GRID grid.21925.3d, ISNI 0000 0004 1936 9000, Graduate Program of Microbiology and Immunology, , University of Pittsburgh School of Medicine, ; Pittsburgh, PA USA
                [7 ]GRID grid.21925.3d, ISNI 0000 0004 1936 9000, Deparment of Biomedical Informatics, , University of Pittsburgh, ; Pittsburgh, PA USA
                [8 ]GRID grid.21925.3d, ISNI 0000 0004 1936 9000, Department of Pathology, , University of Pittsburgh, ; Pittsburgh, PA USA
                [9 ]GRID grid.21925.3d, ISNI 0000 0004 1936 9000, Division of Rheumatology and Clinical Immunology, , University of Pittsburgh, ; Pittsburgh, PA USA
                [10 ]GRID grid.21925.3d, ISNI 0000 0004 1936 9000, Department of Microbiology and Molecular Genetics, , University of Pittsburgh, ; Pittsburgh, PA USA
                [11 ]GRID grid.478063.e, ISNI 0000 0004 0456 9819, Cancer Virology Program, UPMC Hillman Cancer Center, ; Pittsburgh, PA USA
                [12 ]GRID grid.21925.3d, ISNI 0000 0004 1936 9000, Department of Medicine, , University of Pittsburgh, ; Pittsburgh, PA USA
                Author information
                http://orcid.org/0000-0002-2720-0075
                http://orcid.org/0000-0002-3213-3129
                http://orcid.org/0000-0002-9435-4939
                http://orcid.org/0000-0001-6194-1742
                http://orcid.org/0000-0002-6433-0207
                http://orcid.org/0000-0002-8599-2269
                http://orcid.org/0000-0003-1729-8619
                Article
                27619
                10.1038/s41467-021-27619-4
                8683505
                34921143
                290f0a6c-f776-4f60-8b2c-a78a00fe2708
                © 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
                : 26 April 2020
                : 16 November 2021
                Funding
                Funded by: Programm zur internen Forschungsforderung Essen (IFORES) UMEA Junior Clinician Scientist
                Funded by: FundRef https://doi.org/10.13039/100000002, U.S. Department of Health & Human Services | National Institutes of Health (NIH);
                Award ID: P30 CA047904
                Award ID: P50 CA097190
                Award ID: R01 CA206517
                Award Recipient :
                Funded by: U.S. Department of Health & Human Services | National Institutes of Health (NIH)
                Funded by: U.S. Department of Health & Human Services | National Institutes of Health (NIH)
                Categories
                Article
                Custom metadata
                © The Author(s) 2021

                Uncategorized
                applied immunology,translational immunology,tumour immunology,adaptive immunity
                Uncategorized
                applied immunology, translational immunology, tumour immunology, adaptive immunity

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