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  • 1.
    Backman, Max
    et al.
    Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
    La Fleur, Linnea
    Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
    Kurppa, Pinja
    Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
    Djureinovic, Dijana
    Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
    Elfving, Hedvig
    Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
    Brunnström, Hans
    Division of Pathology, Lund University, Skåne University Hospital, Lund, Sweden.
    Mattsson, Johanna Sofia Margareta
    Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
    Pontén, Victor
    Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
    Eltahir, Mohamed
    Department of Pharmaceutical Bioscience, Uppsala University, Uppsala, Sweden.
    Mangsbo, Sara
    Department of Pharmaceutical Bioscience, Uppsala University, Uppsala, Sweden.
    Isaksson, Johan
    Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden; Dept. of Respiratory Medicine, Gävle Hospital, Gävle, Sweden..
    Jirström, Karin
    Division of Pathology, Lund University, Skåne University Hospital, Lund, Sweden.
    Kärre, Klas
    Department of Microbiology, Cell and Tumor Biology (MTC), Karolinska Institutet, Stockholm, Sweden..
    Carbone, Ennio
    Department of Microbiology, Cell and Tumor Biology (MTC), Karolinska Institutet, Stockholm, Sweden; Tumor Immunology and Immunopathology Laboratory, Dept. of Experimental and Clinical Medicine, University Magna Graecia of Catanzaro, Catanzaro, Italy..
    Leandersson, Karin
    Cancer Immunology, Dept. of Translational Medicine, Lund University, Skånes University Hospital, Malmö, Sweden.
    Mezheyeuski, Artur
    Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
    Pontén, Fredrik
    Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
    Lindskog, Cecilia
    Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
    Botling, Johan
    Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
    Micke, Patrick
    Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
    Extending the immune phenotypes of lung cancer: Oasis in the desertManuskript (preprint) (Annet vitenskapelig)
    Abstract [en]

    Introduction: Tumor infiltrating immune cells are key elements of the tumor microenvironment and mediate the anti-tumor effects of immunotherapy. The aim of the study was to characterize patterns of immune cell infiltration in non-small cell lung cancer (NSCLC) in relation to tumor mutations and clinicopathological parameters. 

    Methods: Lymphocytes (CD4+, CD8+, CD20+, FOXP3+, CD45RO+), macrophages (CD163+), plasma cells (CD138+), NK cells (NKp46+) and PD-L1+ were annotated on a tissue microarray including 357 operated NSCLC cases. Somatic mutations and tumor mutational burden were analyzed by targeted sequencing for 82 genes, and transcriptomic immune patterns were established in 197 patients based on RNAseq data. 

    Results: We identified somatic mutations (TP53, NF1, KEAP1, CSMD3, LRP1B) that correlated with specific immune cell infiltrates. Hierarchical clustering revealed four immune classes: with (1) high immune cell infiltration (“inflamed”), (2) low immune cell infiltration (“desert”), (3) a mixed phenotype, and (4) a new phenotype with an overall muted inflammatory cell pattern but with an imprint of NK and plasma cells. This latter class exhibited low expression of immune response-related genes (e.g. CXCL9, GZMB, INFG, TGFB1), but was linked to better survival and therefore designated “oasis”. Otherwise, the four immune classes were not related to the presence of specific mutations (EGFR, KRAS, TP53) or histologic subtypes. 

    Conclusion: We present a compartment-specific immune cell analysis in the context of the molecular and clinical background of NSCLC and identified the novel immune class “oasis”. The immune classification helps to better define the immunogenic potency of NSCLC in the era of immunotherapy. 

  • 2.
    Fletcher, Erika A. K.
    et al.
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk immunologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab. Immuneed AB, Uppsala.
    Eltahir, Mohamed
    Uppsala universitet, Science for Life Laboratory, SciLifeLab. Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk immunologi.
    Lindqvist, Frida
    Immuneed AB, Uppsala.
    Rieth, Jonas
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk immunologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Törnqvist, Gunilla
    Immuneed AB, Uppsala.
    Leja-Jarblad, Justyna
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk immunologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab. Immuneed AB, Uppsala.
    Mangsbo, Sara
    Uppsala universitet, Science for Life Laboratory, SciLifeLab. Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Farmaceutiska fakulteten, Institutionen för farmaceutisk biovetenskap. Immuneed AB, Uppsala.
    Extracorporeal human whole blood in motion, as a tool to predict first-infusion reactions and mechanism-of-action of immunotherapeutics2018Inngår i: International Immunopharmacology, ISSN 1567-5769, E-ISSN 1878-1705, Vol. 54, s. 1-11Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    First infusion reactions along with severe anaphylactic responses can occur as a result of systemic administration of therapeutic antibodies. The underlying mechanisms by which monoclonal antibodies induce cytokine release syndrome (CRS) can involve direct agonistic effects via the drug target, or a combination of target-engagement along with innate receptor interactions. Despite the wide variety of pathways and cells that can play a role in CRS, many currently used assays are devoid of one or more components that must be present for these responses to occur. One assay that has not been assessed for its capacity to predict CRS is the modified Chandler loop model. Herein we evaluate a plethora of commercially available monoclonal antibodies to evaluate the modified Chandler loop model's potential in CRS prediction. We demonstrate that in a 4-hour loop assay, both the superagonistic antibodies, anti-CD3 (OKT3) and anti-CD28 (ANC28.1), display a clear cytokine response with a mixed adaptive/innate cytokine source. OKT3 induce TNFα and IFN-γ release in 20 out of 23 donors tested, whereas ANC28.1 induce TNF-α, IL-2 and IFN-γ release in all donors tested (n = 18–22). On the other hand, non-agonistic antibodies associated with no or low infusion reactions in the clinic, namely cetuximab and natalizumab, neither induce cytokine release nor cause false positive responses. A TGN1412-like antibody also display a clear cytokine release with an adaptive cytokine profile (IFN-γ and IL-2) and all donors (n = 9) induce a distinct IL-2 response. Additionally, the value of an intact complement system in the assay is highlighted by the possibility to dissect out the mechanism-of-action of alemtuzumab and rituximab. The loop assay can either complement lymph node-like assays or stand-alone to investigate drug/blood interactions during preclinical development, or for individual safety screening prior to first-in-man clinical trial.

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