@phdthesis{Steinfatt2023, author = {Steinfatt, Tim Alexander}, title = {Modulation of regulatory T cells for the immunotherapy of inflammatory diseases and cancer}, doi = {10.25972/OPUS-19260}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-192600}, school = {Universit{\"a}t W{\"u}rzburg}, year = {2023}, abstract = {Regulatory T cells (Tregs) are the masters of immune regulation controlling inflammation and tolerance, tissue repair and homeostasis. Multiple immunological diseases result from altered Treg frequencies and Treg dysfunction. We hypothesized that augmenting Treg function and numbers would prevent inflammatory disease whereas inhibiting or depleting Tregs would improve cancer immunotherapy. In the first part of this thesis, we explored whether in vivo activation and expansion of Tregs would impair acute graft-versus-host disease (aGvHD). In this inflammatory disease, Tregs are highly pathophysiological relevant and their adoptive transfer proved beneficial on disease outcome in preclinical models and clinical studies. IL-2 has been recognized as a key cytokine for Treg function. Yet, attempts in translating Treg expansion via IL-2 have remained challenging, due to IL-2s extremely broad action on other cell types including effector T cells, NK cells, eosinophils and vascular leakage syndrome, and importantly, due to poor pharmacokinetics in vivo. We addressed the latter issue using an IL-2-IgG-fusion protein (irrIgG-IL-2) with improved serum retention and demonstrated profound Treg expansion in vivo in FoxP3-luciferase reporter mice. Further, we augmented Treg numbers and function via the selective-TNF based agonists of TNFR2 (STAR2). Subsequently, we tested a next-generation TNFR2 agonist, termed NewSTAR, which proved even more effective. TNFR2 stimulation augmented Treg numbers and function and was as good as or even superior to the IL-2 strategy. Finally, in a mouse model of aGvHD we proved the clinical relevance of Treg expansion and activation with irrIgG-IL-2, STAR2 and NewSTAR. Notably, the TNFR2 stimulating constructs were outstanding as we observed not the IL-2 prototypic effects on other cell populations and no severe side effects. In the second part of this thesis, we explored Tregs in pancreatic ductal adenocarcinoma (PDAC) and developed targeting strategies. Among several tumor entities in which Tregs impact survival, preclinical and clinical data demonstrated their negative role on PDAC. In our studies we employed the orthotopic syngeneic Panc02 model in immunocompetent mice. Based on flow cytometric analysis of the tumor microenvironment we propose TIGIT and TNFRSF members as novel therapeutic targets. Surprisingly, we found that blocking TNFR2 did not interfere with intratumoral Treg accumulation. However, we decreased the highly abundant intratumoral Tregs when we disrupted the tumor extracellular matrix. In PDAC, Treg manipulation alone did not lead to tumor regression and we propose that an additional immune boost may be necessary for efficient tumor immune surveillance and cancer clearance. This contrasts with aGvHD, in which Treg manipulation alone was sufficient to improve disease outcome. Conclusively, we demonstrated the enormous medical benefit of Treg manipulation. Our promising data obtained with our newly developed powerful tools highlight the potential to translate our findings into clinical practice to therapeutically target human Tregs in patients. With novel TNFR2 agonists (STAR2, NewSTAR) we augmented Treg numbers and function as (or even more) effectively than with IL-2, without causing adverse side effects. Importantly, exogenous in vivo Treg expansion protected mice from aGvHD. For the therapy of PDAC, we identified novel targets on Tregs, notably TIGIT and members of the TNFRSF. We demonstrated that altering the extracellular tumor matrix can efficiently disrupt the Treg abundance in tumors. These novel targeting strategies appear as attractive new treatment options and they may benefit patients suffering from inflammatory disease and cancer in the future.}, language = {en} }