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Dataset . 2021
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Dataset . 2021
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Data sources: ZENODO
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ZENODO
Dataset . 2021
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ZENODO
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ZENODO
Dataset . 2021
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Immune signatures predict development of autoimmune toxicity in immune checkpoint inhibitor-treated patients with cancer

Authors: Nunez, Nicolas; Berner, Fiamma; Friebel, Ekaterina; Becher, Burkhard; Flatz, Lukas;

Immune signatures predict development of autoimmune toxicity in immune checkpoint inhibitor-treated patients with cancer

Abstract

Immune signatures predict development of autoimmune toxicity in immune checkpoint inhibitor-treated patients with cancer Nicolas Gonzalo Nuñez1*, Fiamma Berner2*, Ekaterina Friebel1*, Susanne Unger1, Nina Wyss2,3, Julia Martinez Gomez4, Mette-Triin Purde2, Rebekka Niederer2,3, Maximilian Porsch5, Christa Lichtensteiger2, Rafaela Kramer6, Michael Erdmann6, Christina Schmitt7, Lucy Heinzerling6,7, Marie-Therese Abdou2, Julia Karbach8, Dirk Schadendorf9, Lisa Zimmer9, Selma Ugurel9, Niklas Klümper10,11,12, Michael Hölzel10,11, Laura Power1, Stefanie Kreutmair1, Mariaelena Capone13, Gabriele Madonna13, Lacin Cevhertas14,15, Anja Heider14, Teresa Amaral16,17, Omar Hasan Ali2,3,4,18, David Bomze2,19, Florentia Dimitriou4, Stefan Diem20, Paolo Antonio Ascierto13, Reinhard Dummer4, Elke Jäger8, Christoph Driessen20, Mitchell P. Levesque4, Willem van de Veen14, Markus Joerger20, Martin Früh20,21, Burkhard Becher1**, Lukas Flatz2,3,4,20,22** */** these authors contributed equally Affiliations 1. Institute of Experimental Immunology, University of Zurich, Zurich, Switzerland 2. Institute of Immunobiology, Medical Research Center, Kantonsspital St. Gallen, St.Gallen, Switzerland 3. Department of Dermatology, Kantonsspital St. Gallen, St.Gallen, Switzerland 4. Department of Dermatology, University Hospital Zurich, Zurich, Switzerland 5. Department of Radiology, Kantonsspital St. Gallen, St.Gallen, Switzerland 6. Department of Dermatology, University of Erlangen-Nuremberg, Erlangen, Germany 7. Ludwig Maximilian University of Munich, Munich, Germany 8. Department of Oncology and Hematology, Krankenhaus Nordwest, Frankfurt, Germany 9. Department of Dermatology, Comprehensive Cancer Center (Westdeutsches Tumorzentrum) University Hospital Essen, Essen, Germany 10. Institute for Experimental Oncology, University Hospital Bonn, Bonn, Germany 11. Center for Integrated Oncology Cologne/Bonn, University Hospital Bonn, Bonn, Germany 12. Department of Urology, University Hospital Bonn, Bonn, Germany 13. Istituto Nazionale Tumori-IRCCS-Fondazione G. Pascale, Napoli, Italy 14. Swiss Institute of Allergy and Asthma Research (SIAF), University of Zurich, Davos, Switzerland 15. Department of Medical Immunology, Institute of Health Sciences, Bursa Uludag University, Bursa, Turkey 16. Skin Cancer Center, Department of Dermatology, University Hospital Tübingen, Tübingen, Germany 17. iFIT Cluster of Excellence (EXC 2180), University of Tübingen, Tübingen, Germany 18. Department of Medical Genetics, Life Sciences Institute, University of British Columbia, Vancouver, Canada 19. Sackler Faculty of Medicine, Tel-Aviv University, Israel 20. Department of Oncology, Kantonsspital St. Gallen, St.Gallen, Switzerland 21. Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland 22. Universitäts-Hautklinik, University of Tübingen, Tübingen, Germany

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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