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

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

Nicolas Gonzalo Nuñez1*, Fiamma Berner2*, Ekaterina Friebel1*, Susanne Unger1, Mette-Triin Purde2, Rebekka Niederer2,3, Maximilian Porsch4, Christa Lichtensteiger2, Julia Martinez Gomez5, Mariaelena Capone6, Gabriele Madonna6, Lacin Cevhertas7,8, Teresa Amaral9,10, Omar Hasan Ali2,3,5,11, David Bomze2,12, Marie-Therese Abdou2, Stefan Diem13, Paolo Antonio Ascierto6, Reinhard Dummer5, Christoph Driessen13, Mitch Levesque5, Willem van de Veen7, Markus Jörger13, Martin Früh13,14, Burkhard Becher1**, Lukas Flatz2,3,5,13,15**

*/** 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 Radiology, Kantonsspital St. Gallen, St.Gallen, Switzerland

5. Department of Dermatology, University Hospital Zurich, Zurich, Switzerland

6. Istituto Nazionale Tumori-IRCCS-Fondazione G. Pascale, Napoli, Italy

7. Swiss Institute of Allergy and Asthma Research (SIAF), University of Zurich, Davos, Switzerland

8. Department of Medical Immunology, Institute of Health Sciences, Bursa Uludag University, Bursa, Turkey

9. Skin Cancer Center, Department of Dermatology, University Hospital Tübingen, Tübingen, Germany

10. iFIT Cluster of Excellence (EXC 2180), University of Tübingen, Tübingen, Germany

11. Department of Medical Genetics, Life Sciences Institute, University of British Columbia, Vancouver, Canada

12. Sackler Faculty of Medicine, Tel-Aviv University, Israel

13. Department of Oncology, Kantonsspital St. Gallen, St.Gallen, Switzerland

14. Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland

15. Universitäts-Hautklinik, University of Tübingen, Tübingen, Germany

Corresponding authors:

Burkhard Becher, Prof. Dr.

Institute of Experimental Immunology

University of Zurich

Winterthurerstrasse 190

8057 Zurich, Switzerland

Phone: [phone]

Email: [e-mail]

Lukas Flatz, Prof. M.D.

Universitäts-Hautklinik

University of Tübingen

72016 Tübingen, Germany

Phone: [phone]

Email: [e-mail]

Immune checkpoint inhibitors (ICIs) have emerged as one of the most promising treatment options for melanoma and non-small cell lung cancer (NSCLC). While ICIs can induce effective anti-tumour responses, their use is also frequently associated with immune-related adverse events (irAEs). Identifying biomarkers to predict which patients will suffer from irAEs would enable more accurate clinical risk-benefit-analysis for ICI treatment and may also shed light on common or distinct mechanisms underpinning treatment success and irAEs. In this prospective study we used a multiomics approach including unbiased single-cell profiling and serum analysis to characterise the systemic immune compartment of patients with melanoma or NSCLC before and during treatment with ICIs. We identified predictive immune signatures and early changes during ICI therapy that were significantly associated with the subsequent development of irAEs and were distinguished from markers of response to ICI therapy. These biomarkers may help to predict which patients are likely to benefit most from ICI therapy and those requiring intensive monitoring for irAEs.