TY - JOUR A1 - Wendlinger, Simone A1 - Wohlfarth, Jonas A1 - Kreft, Sophia A1 - Siedel, Claudia A1 - Kilian, Teresa A1 - Dischinger, Ulrich A1 - Heppt, Markus V. A1 - Wistuba-Hamprecht, Kilian A1 - Meier, Friedegund A1 - Goebeler, Matthias A1 - Schadendorf, Dirk A1 - Gesierich, Anja A1 - Kosnopfel, Corinna A1 - Schilling, Bastian T1 - Blood eosinophils are associated with efficacy of targeted therapy in patients with advanced melanoma JF - Cancers N2 - Background: Eosinophils appear to contribute to the efficacy of immunotherapy and their frequency was suggested as a predictive biomarker. Whether this observation could be transferred to patients treated with targeted therapy remains unknown. Methods: Blood and serum samples of healthy controls and 216 patients with advanced melanoma were prospectively and retrospectively collected. Freshly isolated eosinophils were phenotypically characterized by flow cytometry and co-cultured in vitro with melanoma cells to assess cytotoxicity. Soluble serum markers and peripheral blood counts were used for correlative studies. Results: Eosinophil-mediated cytotoxicity towards melanoma cells, as well as phenotypic characteristics, were similar when comparing healthy donors and patients. However, high relative pre-treatment eosinophil counts were significantly associated with response to MAPKi (p = 0.013). Eosinophil-mediated cytotoxicity towards melanoma cells is dose-dependent and requires proximity of eosinophils and their target in vitro. Treatment with targeted therapy in the presence of eosinophils results in an additive tumoricidal effect. Additionally, melanoma cells affected eosinophil phenotype upon co-culture. Conclusion: High pre-treatment eosinophil counts in advanced melanoma patients were associated with a significantly improved response to MAPKi. Functionally, eosinophils show potent cytotoxicity towards melanoma cells, which can be reinforced by MAPKi. Further studies are needed to unravel the molecular mechanisms of our observations. KW - melanoma KW - eosinophils KW - biomarker Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-275137 SN - 2072-6694 VL - 14 IS - 9 ER - TY - JOUR A1 - Lodde, Georg A1 - Forschner, Andrea A1 - Hassel, Jessica A1 - Wulfken, Lena M. A1 - Meier, Friedegund A1 - Mohr, Peter A1 - Kähler, Katharina A1 - Schilling, Bastian A1 - Loquai, Carmen A1 - Berking, Carola A1 - Hüning, Svea A1 - Schatton, Kerstin A1 - Gebhardt, Christoffer A1 - Eckardt, Julia A1 - Gutzmer, Ralf A1 - Reinhardt, Lydia A1 - Glutsch, Valerie A1 - Nikfarjam, Ulrike A1 - Erdmann, Michael A1 - Stang, Andreas A1 - Kowall, Bernd A1 - Roesch, Alexander A1 - Ugurel, Selma A1 - Zimmer, Lisa A1 - Schadendorf, Dirk A1 - Livingstone, Elisabeth T1 - Factors influencing the adjuvant therapy decision: results of a real-world multicenter data analysis of 904 melanoma patients JF - Cancers N2 - Adjuvant treatment of melanoma patients with immune-checkpoint inhibition (ICI) and targeted therapy (TT) significantly improved recurrence-free survival. This study investigates the real-world situation of 904 patients from 13 German skin cancer centers with an indication for adjuvant treatment since the approval of adjuvant ICI and TT. From adjusted log-binomial regression models, we estimated relative risks for associations between various influence factors and treatment decisions (adjuvant therapy yes/no, TT vs. ICI in BRAF mutant patients). Of these patients, 76.9% (95% CI 74–80) opted for a systemic adjuvant treatment. The probability of starting an adjuvant treatment was 26% lower in patients >65 years (RR 0.74, 95% CI 68–80). The most common reasons against adjuvant treatment given by patients were age (29.4%, 95% CI 24–38), and fear of adverse events (21.1%, 95% CI 16–28) and impaired quality of life (11.9%, 95% CI 7–16). Of all BRAF-mutated patients who opted for adjuvant treatment, 52.9% (95% CI 47–59) decided for ICI. Treatment decision for TT or ICI was barely associated with age, gender and tumor stage, but with comorbidities and affiliated center. Shortly after their approval, adjuvant treatments have been well accepted by physicians and patients. Age plays a decisive role in the decision for adjuvant treatment, while pre-existing autoimmune disease and regional differences influence the choice between TT or ICI. KW - melanoma KW - adjuvant treatment KW - checkpoint blocker KW - targeted therapy KW - BRAF KW - PD-1 Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-239583 SN - 2072-6694 VL - 13 IS - 10 ER - TY - JOUR A1 - Schummer, Patrick A1 - Schilling, Bastian T1 - How representative are data from global trials on programmed death-1 blockade in melanoma? JF - The British Journal of Dermatology KW - programmed cell death receptor-1 KW - melanoma KW - therapy Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-318406 VL - 187 IS - 3 SP - 283 EP - 284 ER - TY - JOUR A1 - Glutsch, Valerie A1 - Amaral, Teresa A1 - Garbe, Claus A1 - Thoms, Kai-Martin A1 - Mohr, Peter A1 - Hauschild, Axel A1 - Schilling, Bastian T1 - Indirect Comparison of Combined BRAF and MEK Inhibition in Melanoma Patients with Elevated Baseline Lactate Dehydrogenase JF - Acta Dermato-Venereologica N2 - The approval of BRAF and MEK inhibitors has signifi-cantly improved treatment outcomes for patients with BRAF-mutated metastatic melanoma. The 3 first-line targeted therapy trials have provided similar results, and thus the identification of predictive biomarkers may generate a more precise basis for clinical deci-sion-making. Elevated baseline lactate dehydrogenase (LDH) has already been determined as a strong prog-nostic factor. Therefore, this indirect analysis compa-red subgroups with elevated baseline LDH across the pivotal targeted therapy trials co-BRIM, COMBI-v and COLUMBUS part 1. The Bucher method was used to compare progression-free survival, objective response rate and overall survival indirectly. The results show a non-significant risk reduction for progression in the subgroup with elevated baseline LDH receiving vemu-rafenib plus cobimetinib compared with dabrafenib plus trametinib and encorafenib plus binimetinib. Al-though an indirect comparison, these data might pro-vide some guidance for treatment recommendations in melanoma patients with elevated LDH. KW - melanoma KW - BRAF KW - lactate dehydrogenase Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-230190 VL - 100 ER - TY - JOUR A1 - Isberner, Nora A1 - Gesierich, Anja A1 - Balakirouchenane, David A1 - Schilling, Bastian A1 - Aghai-Trommeschlaeger, Fatemeh A1 - Zimmermann, Sebastian A1 - Kurlbaum, Max A1 - Puszkiel, Alicja A1 - Blanchet, Benoit A1 - Klinker, Hartwig A1 - Scherf-Clavel, Oliver T1 - Monitoring of dabrafenib and trametinib in serum and self-sampled capillary blood in patients with BRAFV600-mutant melanoma JF - Cancers N2 - Simple Summary In melanoma patients treated with dabrafenib and trametinib, dose reductions and treatment discontinuations related to adverse events (AE) occur frequently. However, the associations between patient characteristics, AE, and exposure are unclear. Our prospective study analyzed serum (hydroxy-)dabrafenib and trametinib exposure and investigated its association with toxicity and patient characteristics. Additionally, the feasibility of at-home sampling of capillary blood was assessed, and a model to convert capillary blood concentrations to serum concentrations was developed. (Hydroxy-)dabrafenib or trametinib exposure was not associated with age, sex, body mass index, or AE. Co-medication with P-glycoprotein inducers was associated with lower trough concentrations of trametinib but not (hydroxy-)dabrafenib. The applicability of the self-sampling of capillary blood was demonstrated. Our conversion model was adequate for estimating serum exposure from micro-samples. The monitoring of dabrafenib and trametinib may be useful for dose modification and can be optimized by at-home sampling and our new conversion model. Abstract Patients treated with dabrafenib and trametinib for BRAF\(^{V600}\)-mutant melanoma often experience dose reductions and treatment discontinuations. Current knowledge about the associations between patient characteristics, adverse events (AE), and exposure is inconclusive. Our study included 27 patients (including 18 patients for micro-sampling). Dabrafenib and trametinib exposure was prospectively analyzed, and the relevant patient characteristics and AE were reported. Their association with the observed concentrations and Bayesian estimates of the pharmacokinetic (PK) parameters of (hydroxy-)dabrafenib and trametinib were investigated. Further, the feasibility of at-home sampling of capillary blood was assessed. A population pharmacokinetic (popPK) model-informed conversion model was developed to derive serum PK parameters from self-sampled capillary blood. Results showed that (hydroxy-)dabrafenib or trametinib exposure was not associated with age, sex, body mass index, or toxicity. Co-medication with P-glycoprotein inducers was associated with significantly lower trough concentrations of trametinib (p = 0.027) but not (hydroxy-)dabrafenib. Self-sampling of capillary blood was feasible for use in routine care. Our conversion model was adequate for estimating serum PK parameters from micro-samples. Findings do not support a general recommendation for monitoring dabrafenib and trametinib but suggest that monitoring can facilitate making decisions about dosage adjustments. To this end, micro-sampling and the newly developed conversion model may be useful for estimating precise PK parameters. KW - dabrafenib KW - trametinib KW - hydroxy-dabrafenib KW - melanoma KW - BRAF mutation KW - volumetric absorptive micro-sampling (VAMS) KW - at-home sampling KW - drug monitoring KW - population pharmacokinetics Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-288109 SN - 2072-6694 VL - 14 IS - 19 ER -