Kombination von Checkpointinhibitoren beim malignen Melanom

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Kombination von Checkpointinhibitoren beim malignen Melanom Dirk Jäger Medizinische Onkologie Nationales Centrum für Tumorerkrankungen Universitätsklinikum Heidelberg

Ipilimumab beim metastasierten Melanom Median OS, months (95% CI): 9.5 (9.0 10.0) 3-year OS rate, % (95% CI): 21 (20 22) Schadendorf, et al. J Clin Oncol 2015

CA209-067: Study Design Randomized, double-blind, phase III study to compare NIVO + IPI or NIVO alone to IPI alone N=314 NIVO 1 mg/kg + IPI 3 mg/kg Q3W for 4 doses then NIVO 3 mg/kg Q2W Unresectable or Metatastic Melanoma Previously untreated 945 patients Randomize 1:1:1 Stratify by: PD-L1 expression* BRAF status AJCC M stage N=316 NIVO 3 mg/kg Q2W + IPI-matched placebo Treat until progression** or unacceptable toxicity N=315 IPI 3 mg/kg Q3W for 4 doses + NIVO-matched placebo *Verified PD-L1 assay with 5% expression level was used for the stratification of patients; validated PD-L1 assay was used for efficacy analyses. **Patients could have been treated beyond progression under protocol-defined circumstances. 7

Baseline reduction from baseline in target lesions (%) Baseline reduction from baseline in target lesions (%) Baseline reduction from baseline in target lesions (%) Tumor Burden Change From Baseline NIVO + IPI Median change: -51.9% IPI Median change: +5.9% NIVO Median change: -34.5% Confirmed responder 30% reduction in tumor burden by RECIST v1.1 9

Response to Treatment NIVO + IPI (N=314) NIVO (N=316) IPI (N=315) ORR, % (95% CI)* 57.6 (52.0 63.2) 43.7 (38.1 49.3) 19.0 (14.9 23.8) Two-sided P value vs IPI <0.001 <0.001 -- Best overall response % Complete response 11.5 8.9 2.2 Partial response 46.2 34.8 16.8 Stable disease 13.1 10.8 21.9 Progressive disease 22.6 37.7 48.9 Unknown 6.7 7.9 10.2 Duration of response (months) Median (95% CI) NR (13.1, NR) NR (11.7, NR) NR (6.9, NR) *By RECIST v1.1. NR, not reached. 10

Proportion alive and progression-free Proportion alive and progression-free PFS by PD-L1 Expression Level (1%) PD-L1 1%* mpfs HR PD-L1 <1%* mpfs HR 1.0 NIVO + IPI 12.4 0.44 1.0 NIVO + IPI 11.2 0.38 0.8 NIVO 12.4 0.46 IPI 3.9 -- 0.8 NIVO 2.8 0.67 IPI 2.8 -- 0.6 0.6 0.4 0.4 0.2 0.0 NIVO + IPI NIVO IPI 0 3 6 9 12 15 18 21 Months 0.2 0.0 NIVO + IPI NIVO IPI 0 3 6 9 12 15 18 Months No. at Risk NIVO + IPI NIVO IPI 155 171 164 113 115 83 91 97 47 78 83 36 32 34 16 4 7 3 1 1 0 No. at Risk NIVO + IPI NIVO IPI 123 117 113 82 50 39 65 42 19 57 34 12 26 13 5 6 2 0 0 0 *Per validated PD-L1 immunohistochemical assay based on PD-L1 staining of tumor cells in a section of at least 100 evaluable tumor cells. 11

Safety Summary Presented By Jedd Wolchok at 2016 ASCO Annual Meeting

Most Common Treatment-related Select AEs Presented By Jedd Wolchok at 2016 ASCO Annual Meeting

NIVO + IPI NIVO Time to and Durability of Response in Patients Who Discontinued Due to Toxicity 0 8 16 24 32 40 48 56 64 72 80 Time (weeks) On treatment Off treatment First response Ongoing response Death 0 8 16 24 32 40 48 56 64 72 80 Time (weeks) Larkin at ECCO 2015

Larkin et al, AACR 2017

Larkin et al, AACR 2017

Kaplan Meier Estimates of Survival. Wolchok JD et al. N Engl J Med 2017. DOI: 10.1056/NEJMoa1709684

Overall Survival (%) Immune Checkpoint Inhibitors Provide Durable Long-term Survival for Patients with Advanced Melanoma Ipi/Nivo 100 90 80 70 IPI (Pooled analysis) 1 NIVO Monotherapy (Phase 1 CA209-003) 2 NIVO Monotherapy (Phase 3 Checkmate 066) 3 60 N=210 50 40 N=107 30 20 N=1,861 10 0 0 1 2 3 4 5 6 7 8 9 10 Years 1. Schadendorf et al. J Clin Oncol 2015;33:1889-1894; 2. Current analysis; 3. Poster presentation by Dr. Victoria Atkinson at SMR 2015 International Congress. 19

Weide et al, CCR 2016 Biomarker für Benefit unter PD1 Mono

PD-L1 Expression and Relationship With Response Keynote 001 Presented By Adil Daud at 2015 ASCO Annual Meeting

CANCER IMMUNOTHERAPY HIGHLIGHT ACHIEVEMENTS Immune checkpoint inhibition: demonstrated that response to ipilimumab depends on mutation number in metastatic melanoma Neoantigen roulette. Nonresponders Cancer patients with fewer mutations have a lower chance of responding to therapy Van Allen et al., and Schadendorf; Science 2015 demonstrated that clonal neoantigens elicit T cell immunoreactivity and sensitivity to immune checkpoint blockade Responders Cancer patients with more mutations have a higher chance of responding to therapy McGranahan... Schadendorf et al.; Science 2016 Ipilimumab-response mutation From: Gubin and Schreiber; Science 2015

NLG2103: Phase II Studie: Pembrolizumab + Indoximod 60 auswertbare Patienten mit fortgeschrittenem Melanom (auch Aderhautmelanom), die die Kombination aus Pembro + IDO Inhibitor erhielten ORR: 52% (31/60) DCR: 73% (44/60) Non ocular melanoma: ORR: 59% (30/51) DCR: 80% (41/51) Geringe Rate an Grad ¾ Toxizität (vergleichbar zu PD1 Mono) AACR 2017

Kombinationstherapien Checkpointinhibitor(en) + oncolytisches Virus Checkpointinhibitoren + TKIs T Zelltransfer + Checkpointinhibitoren Sequentielle Therapien

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Komplexität von Tumor-Host Interaktionen APC = antigen presenting cell Chen DS & Mellman I. Immunity 2013

Komplexität von Tumor-Host Interaktionen Improve immune infiltration Induction/creation of anti tumor immunity APC = antigen presenting cell Chen DS & Mellman I. Immunity 2013 Activate/reactivate T cells Inverse suppression

Precision oncology Molekulare Diagnostik von individuellen Erkrankungen hinsichtlich Genetik, Epigenetik und Immunologie Integration aller molekularer und immunologischer Daten in ein Modell der individuellen Erkrankung Basierend auf diesen Daten Design einer `optimalen Kombinationstherapie: Targeted Drugs (TKI etc) Immunmodulation Individualisierte Vakzine Zell-basierte Therapien (adoptiver Transfer mit (un)modifizierten Zellen) Intelligente Kombinationen Behandlung umfasst das Monitoring der Therapieeffekte im Tumor (sequentielle Biopsien) Alle Daten werden zur Optimierung der Modelingalgorithmen genutzt...