* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Download T cell
DNA vaccination wikipedia , lookup
Major histocompatibility complex wikipedia , lookup
Immune system wikipedia , lookup
Adaptive immune system wikipedia , lookup
Multiple sclerosis research wikipedia , lookup
Innate immune system wikipedia , lookup
Molecular mimicry wikipedia , lookup
Psychoneuroimmunology wikipedia , lookup
Polyclonal B cell response wikipedia , lookup
Immunosuppressive drug wikipedia , lookup
Terapia Immunomodulante e Target Therapies nel Trattamento del Melanoma Metastatico Pier Francesco Ferrucci Direttore, Unità di Oncologia Medica del Melanoma Istituto Europeo di Oncologia - Milano Pisa, 13/11/2015 Agenda 1. IMMUNOTERAPIA: Anti-CTLA4 Anti-PD1 Combinazioni anti-CTLA4 e anti-PD1 2. TERAPIA TARGET: Anti-BRAF Anti-MEK Combinazioni anti-BRAF e antiMEK The T-Cell Antitumor Response 2 1 Tumor antigens presented to T cells 3 Tumor antigens released by tumor cells 4 Effector T cells recognize tumor antigens 5 T cells kill tumor cells T cells are activated; they proliferate and differentiate into effector and memory cells Tumors Use Complex, Overlapping Mechanisms to Evade and Suppress the Immune System 1 APC Inhibition of tumor antigen presentation (eg, down regulation of MHC I) Tumor Cell Inhibition of attack by immune cells 2 Secretion of immunosuppressive factors (eg, TGF-B) (eg, disruption of T-cell checkpoint pathways) 3 Activated Tcell T-reg 4 Recruitment of immunosuppressive cell types (eg, Tregs) Regulation of T-Cell Activation: Balancing Activating and Inhibitory Signals • Immune checkpoints limit, or “check,” an ongoing immune response • Prevents damage to the body’s healthy tissues – – Negative co-stimulation, also called “co-inhibition,” helps shut down immune responses PD-1, CTLA-4, and LAG-3 are examples of co-inhibitory “checkpoint” molecules • Amplitude and quality of a Tcell response is regulated by a balance of activating and inhibitory signals CTLA-4 = cytotoxic T-lymphocyte antigen-4; LAG-3 = lymphocyte activation gene-3; PD-1 = programmed death-1; PD-L1 = programmed death-ligand 1. APC/ Tumor T cell B7-2 (CD86) CD28 Activation B7-1 (CD80) CTLA-4 Inhibition PD-L1 PD-1 Inhibition PD-L2 B7-1 (CD80) Inhibition LAG-3 Inhibition MHC CD40 CD137L OX40L TCR CD40L Activation CD137 Activation OX40 Activation Rationale for Blockade of Immune Checkpoint Molecules CTLA-4 and PD1 CTLA-4 and PD-1/L1 Checkpoint Blockade Priming phase (lymph node) Effector phase (peripheral tissue) T-cell migration Dendritic cell MHC TCR TCR CD28 Dendritic cell T cell B7 Cancer cell T cell T cell T cell MHC PD-1 PD-L1 CTLA-4 Ribas A. N Engl J Med. 2012;366:2517-2519. Cancer cell Ipilimumab: Mechanism of Action T cell activation T cell inhibition T cell potentiation CTLA-4 T cell CD28 TCR MHC APC T cell T cell CD28 TCR B7 MHC APC CTLA-4 CTLA-4 B7 TCR IPILIMUMAB MHC B7 blocks CTLA-4 APC Adapted from Weber. J Cancer Immunol Immunother 2009;58:823. Study Design MDX010-20: Randomized, Double-blind, Phase III Pre-treated Metastatic Melanoma (N=676) R A N D O M I Z E Ipilimumab 3 mg/kg + gp100 (N=403) Ipilimumab 3 mg/kg + placebo (N=137) gp100 + placebo (N=136) Primary endpoint: overall survival Secondary objectives: BORR, duration of response, PFS Hodi S et al. NEJM 2010;363(8):711-23 Proportion of patients alive (%) Durability of Survival Benefit with Ipilimumab in Heavily Pretreated Patients: 100 lpilimumab alone 80 lpilimumab + gp100 gp100 alone 60 40 20 0 0 1 2 3 4 Years mOS, months 95% CI HR P value 1-year OS (%) 2-year OS (%)a 3-year OS (%)b Ipilimumab + gp100 10.0 8.5–11.5 0.68 <0.001 44 19 15 Ipilimumab 10.1 8.0–13.8 0.66 0.003 46 25 25 gp100 6.4 5.5–8.7 25 14 10 aPatients bPatients randomised ≥2 years prior to study survival cut-off date (N = 474) randomised ≥3 years prior to study survival cut-off date (N = 259) Hodi FS, et al. N Engl J Med 2010;363:711–23 McDermott D, et al. Ann Oncol 2013;24:2694–8 Specific Patterns of Response • Ipilimumab monotherapy resulted in four distinct response patterns, 2 captured with conventional RECIST/WHO criteria and 2 by new irRC: 1. shrinkage in baseline lesions, without new lesions; 2. durable stable disease (in some patients followed by a slow, steady decline in total tumor burden); 3. response after an increase in total tumor burden; 4. response in the presence of new lesions. All these patterns were associated with favorable survival. Specific Patterns of Toxicities SKIN: Immune-related dermatitis Back: confluent red rash Back: close up of papular lesions Right upper arm: vacuolar changes Anti-CD8 staining: extensive epidermal exocytosis Jaber SH, et al. Arch Dermatol 2006;142:166–172 GASTROINTESTINAL: Immune-related Enterocolitis ENDOCRINE: Immune-related Endocrinopathies 6/30/04 baseline (4.5 mm) 12/3/04 headache and fatigue after 5 doses (10.8 mm) Ipilimumab-related pituitary swelling and dysfunction Resolution of symptoms with hormone replacement therapy, with slow return of some endocrine function Blansfield JA, et al. J Immunother 2005;28:593–598 LIVER: Immune-related Hepatitis • Monitor liver function tests (LFTs): increases in AST and ALT or total bilirubin should be evaluated to exclude other causes of hepatic injury and monitored until resolution • Withold ipilimumab dosing in patients with moderate aspartate AST or ALT elevations of > 5 to ≤ 8 times ULN, or moderate total bilirubin elevation of > 3 to ≤ 5.1 • Permanently discontinue ipilimumab for any of the following: – Severe AST or ALT elevations of > 8 times ULN; – Total bilirubin elevations of > 5 times ULN; – Symptoms of hepatotoxicity. • Systemic high-dose corticosteroids may be required PD1 Pathway As a Key Checkpoint in Cancer Effects of PD1 Signalling on T-cell Function • Normal function: attenuate immune responses to avoid immune system attack of ‘self’ • Direct effects on activated CD4+/CD8+ T cells – PD1: PD-L1/L2 = ↓proliferation – PD1: PD-L1 = ↓IL-2 – PD1: PD-L1 = ↑CD8+ T-cell anergy • Indirect effects via Treg cells – PD1: PD-L1 = ↑naïve CD4+ cell conversion → Treg – PD1: PD-L1 = ↑Treg function (inhibition of CD8+ T-cell responses) Blank C, et al. Cancer Immunol Immunother. 2007;56:739–45. Carter LL, et al. Eur J Immunol 2002;32:634–43. Chikuma S, et al. J Immunol 2009;182:6682–89. Anti-PD1 Mechanism of Action Recognition of tumour by T cell through MHC/antigen interaction mediates IFNγ release and PD-L1/2 upregulation on tumour Priming and activation of T cells through MHC/antigen and CD28/B7 interactions with antigen-presenting cells IFNγ IFNγR T-cell receptor T cell receptor MHC MHC PI3K NFκB Other Tumour cell PD-L1 Shp-2 PD-L2 PD-1 PD-1 CD28 B7 T cell PD-1 PD-L1 Shp-2 PD-1 PD1 Receptor Blocking Ab PD-L2 Dendritic cell Activity of Anti-PD-1/PD-L1 in Patients With Advanced Melanoma Agent Pts, n ORR (at Optimal Dose), % Grades 3/4 Tx-Related AEs, % 6-Mo PFS, % 12-Mo PFS, % Median PFS, Mos 1-Yr OS, % 2-Yr OS, % Nivolumab (anti-PD-1)[1-3] 104 31 (41) 22 41 36 3.7 62 43 Pembrolizumab (anti-PD-1)[4,5] 135 38 (52) 13 NA NA >7 81 58 BMS559 (anti-PD-L1)[6] 55 17 5 NA NA NA NA NA MPDL3280A (anti-PD-L1)[7] 44 29* 36 43 NA NA NA NA *Includes 4 patients with UM without a response. 1. Topalian SL, et al. J Clin Oncol. 2014;32:1020-1030. 2. Sznol M, et al. ASCO 2013. Abstract 9006. 3. Topalian SL, et al. N Engl J Med. 2012;366:2443-2454. 4. Ribas A, et al. ASCO 2013. Abstract 9009. 5. Hamid O, et al. N Engl J Med. 2013;369:134-144. 6. Brahmer JR, et al. N Eng J Med. 2012. 366:2455-2465. 7. Hamid O, et al. ASCO 2013. Abstract 9010. CTL Infiltrates in Regressing Metastatic Melanoma Lesion After MK-3475 Treatment Baseline: February 29, 2012 August 20, 2012 CD8+ IHC CD8+ IHC Ribas A, et al. ASCO 2013. Abstract 9009. AEs in > 5% of Patients Adverse Event (N = 135) All Grades, n (%) Grades 3/4, n (%) Any 107 (79.3) 17 (12.6) Fatigue 41 (30.4) 2 (1.5) Rash 28 (20.7) 3 (2.2) Pruritus 28 (20.7) 1 (0.7) Diarrhea 27 (20.0) 1 (0.7) Myalgia 16 (11.9) 0 Headache 14 (10.4) 0 Increased AST 13 (9.6) 2 (1.5) Asthenia 13 (9.6) 0 Nausea 13 (9.6) 0 Vitiligo 12 (8.9) 0 Hypothyroidism 11 (8.1) 1 (0.7) Increased ALT 11 (8.1) 0 Cough 11 (8.1) 0 Pyrexia 10 (7.4) 0 Chills 9 (6.7) 0 Abdominal pain 7 (5.2) 1 (0.7) Anti-PD1 in Advanced Melanoma: Expert Perspective • Excellent toxicity profile (Grade 3/4 irAEs: 13% Pembro, 22% Nivo) • Response rates in Ipi-naive pts 41% (Nivo), 52% (Pembro) - Lower response rates in patients who progressed after Ipi, BRAF inhibitor, or LDH >ULN • Response duration (even when stopped): – 81% at 1y (Pembro), 64% beyond 24 wks (Nivo) – Median DoR of 22.9 mos (Nivo) • Survival outcomes: – Extimated median OS is >24 mo (Pembro) – 2-yr OS: 48%; 3-yr OS: 41% (Nivo) Rationale for concurrent Blockade of Immune Checkpoint Molecules CTLA-4 and PD1 Blocking CTLA-4 and PD1 Perifery Tumour microenvironment Activation (cytokines, lysis, proliferation, migration to tumour) MHC Dendritic cell B7 TCR TCR +++ CD28 B7 CTLA-4 +++ T cell --- MHC +++ T cell PD1 PD-L1 Tumour cell --anti-PD1 anti-CTLA-4 PD1 PD-L2 --anti-PD1 CTLA-4 blockade (ipilimumab) PD1 blockade (nivolumab) Ribas A. N Engl J Med 2012;366(26):2517–9. CA209-067: Study Design Study design: Randomized, double-blind, phase III study to compare NIVO alone or NIVO + IPI to IPI alone NIVO 3 mg/kg Q2W + IPI-matched placebo Unresectable or Metatastic Melanoma • Previously untreated • Tissue available for PD-L1 testing Stratify by: Randomize 1:1:1 NIVO 1 mg/kg + IPI 3 mg/kg Q3W for 4 doses then NIVO 3 mg/kg Q2W + NIVOmatched placebo • PD-L1 status* • BRAF status • AJCC M stage IPI 3 mg/kg Q3W for 4 doses + NIVO-matched placebo *Verfied PD-L1 assay using 5% cutoff, was used for the stratification of patients; validated PD-L1 assay was used for the results of the study. **Patients could have been treated beyond progression under protocol-defined circumstances. 28 Treat until progression** or unacceptable toxicity Co-primary Endpoint: PFS (Intent-to-Treat) 1.0 NIVO (N=316) NIVO + IPI (N=314) IPI (N=315) 6.9 (4.3–9.5) 11.5 (8.9–16.7) 2.9 (2.8–3.4) HR (95% CI) vs. IPI 0.57 (0.43–0.76)* 0.42 (0.31–0.57)* -- HR (95% CI) vs. NIVO -- 0.74 (0.60–0.92)** -- Median PFS, months (95% CI) 0.9 Proportion alive and progression-free 0.8 0.7 0.6 *Stratified log-rank P<0.00001 vs. IPI 0.5 **Exploratory endpoint 0.4 0.3 NIVO 0.2 NIVO + IPI IPI 0.1 0.0 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 Months Number at Risk NIVO 316 292 271 170 160 147 136 132 124 124 106 86 50 38 14 9 6 2 1 1 1 0 NIVO + IPI 314 293 275 208 191 173 164 163 151 151 137 116 65 54 18 11 7 2 1 0 0 0 IPI 315 285 265 118 95 77 68 63 54 54 47 42 24 17 7 4 3 0 0 0 0 0 29 Response to Treatment NIVO (N=316) NIVO + IPI (N=314) IPI (N=315) <0.00001 <0.00001 19.0 (14.9– 23.8) -- Complete response 8.9 11.5 2.2 Partial response 34.8 46.2 16.8 Stable disease 10.8 13.1 21.9 Progressive disease 37.7 22.6 48.9 Unknown 7.9 6.7 10.2 NR (11.7, NR) NR (13.1, NR) NR (6.9, NR) ORR, % (95% CI) Two-sided P value vs IPI 43.7 (38.1–49.3) 57.6 (52.0–63.2) Best overall response — % Duration of response (months) Median (95% CI) NR, not reached. 30 PFS by PD-L1 Status (5% Cutoff) PD-L1-positive (≥5%)* PD-L1-negative (<5%)* 1.0 0.8 Proportion alive and progression-free Proportion alive and progression-free 1.0 0.6 0.4 0.2 0.0 0 Number at Risk NIVO 80 mPFS HR NIVO 14.0 0.40 NIVO + IPI 14.0 0.40 IPI 3.9 -- 5 0.8 0.6 0.4 0.2 mPFS HR NIVO 5.3 0.60 NIVO + IPI 11.2 0.42 IPI 2.8 -- 0.0 10 0 15 Months 5 NIVO NIVO + IPI IPI 10 15 20 1 Months Number at Risk 54 38 4 0 NIVO 208 98 63 5 NIVO + IPI 68 47 34 1 0 NIVO + IPI 210 123 88 9 IPI 75 24 16 2 0 IPI 202 59 26 1 • Similar results were obtained using a 1% cutoff. *Per validated PD-L1 assay. 31 ORR by PD-L1 Status (5% Cutoff) • NIVO + IPI resulted in a higher ORR vs. NIVO alone regardless of PD-L1 status NIVO NIVO + IPI IPI PD-L1positive ORR, % (95% CI) 57.5 (45.9, 68.5) 72.1 (59.9, 82.3) 21.3 (12.7, 32.3) PD-L1negative ORR, % (95% CI) 41.3 (34.6, 48.4) 54.8 (47.8, 61.6) 17.8 (12.8, 23.8) PD-L1 positivity defined as ≥5% tumor cell surface staining. Pre-treatment tumor specimens were centrally assessed by PD-L1 immunohistochemistry (using a validated BMS/Dako assay). 32 Rapid and durable changes in target lesions Tempo 0 + 1 mese + 5 mesi + 8 mesi + 2 mesi + 12 mesi Safety Summary NIVO (N=313) Patients Reporting Event, % Any Grade Treatment-related adverse event (AE) Treatment-related AE leading to discontinuation NIVO + IPI (N=313) IPI (N=311) Grade 3–4 Any Grade Grade 3– 4 Any Grade Grade 3– 4 82.1 16.3 95.5 55.0 86.2 27.3 7.7 5.1 36.4 29.4 14.8 13.2 Diarrhea 1.9 1.3 8.3 6.7 4.5 4.2 Colitis 0.6 0.6 8.3 6.4 7.7 7.4 Treatment-related death* 0.3 0 *One reported in the NIVO group (neutropenia) and one in the IPI group (cardiac arrest) 35 0.3 Concurrent Therapy With Ipilimumab and Nivolumab: Expert Perspective • Up to 70% ORR with 17% CRs and 82% in remission for all patients receiving concurrent treatment • Up to 50% rate of grade 3/4 irAEs at optimal doses: LFTs, lipase, amylase, rash, colitis • BRAF status, PD-L1 tumor staining not clearly associated with response (maybe to Nivo) • Response in sequential patients associated with plasma ipilimumab levels prior to starting nivolumab • Concurrent 2-yr OS of 79% = impressive !!! • Benefit worth the toxicity? Molecularly Targeted Therapy New Targets New Drugs Rationale for Combination of BRAFi + MEKi in BRAF Mutant Tumors Rationale for Combination of BRAFi + MEKi in BRAF Mutant Tumors RAS BRAF BRAFi : RR 77% Goals of Combination: MEK MEKi RR 35% Improve complete response rate Decrease incidence of BRAFi-induced proliferative skin lesions pERK Proliferation Survival Invasion Metastasis Suppress MAP kinase dependent resistance mechanisms and improve duration of response COMBI-v n=495 Co-BRIM COMBI-v Co-BRIM 11.3 months HR=0.60 COMBI-v Co-BRIM COMBI-v Co-BRIM What may the Future Hold? Evaluation earlier in disease Optimization Biomarkers Schedule/regimen Outcomes assessment Immune checkpoints inhibitors Evaluation across cancer types Novel targets Evaluation in combination Chemotherapy Radiotherapy Targeted agents Other I-O therapies What may the Future Hold? Evaluation earlier in disease Optimization Biomarkers Schedule/regimen Outcomes assessment Immune checkpoints inhibitors Evaluation across cancer types Novel targets Evaluation in combination Chemotherapy Radiotherapy Targeted agents Other I-O therapies Della serie…. Grazie per l’attenzione