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(1)

M. Del Vecchio

Responsabile Gruppo Melanoma Dipartimento di Oncologia Medica

Fondazione IRCCS Istituto Nazionale dei Tumori Milano

Aggiornamenti in oncologia tra ricerca e clinica

Melanoma maligno

(2)

Metastatic melanoma. Limited survival outcomes associated

with historical treatment options

• Historical data indicate median overall survival for patients with metastatic melanoma of 6 to 9 months

• In a meta-analysis of 42 phase 2 trials in 2,100 patients with metastatic melanoma treated in North America (Korn, JCO 2008):

0 12 24 36 100

80 60 40 20 0

Median overall survival was 6.2 months (range:

5.5–6.9 months)

1-year survival rate was 25.5%

(range: 23.6–27.4%)

Months

(3)

Signalling Pathways

Sullivan RJ et al. Clin Cancer Res 2013;19:5283-5291

(4)

Genomic Classification of Cutaneous Melanoma

(5)
(6)

Treatment Options for BRAF V600- Mutant Metastatic Melanoma

BRAF/MEK Inhibitors

• Dabrafenib + trametinib

• Vemurafenib + cobimetinib

Immunotherapy

• Ipilimumab

• Nivolumab

• Nivolumab + ipilimumab

• Pembrolizumab

(7)

Combinatorial approaches to overcome BRAFi/MEKi resistance

Manzano JL et al. Ann Transl Med 2016

(8)

RAFI Resistance Mechanisms

Lito P et al. Nat Med 2013;19:1401-1409

(9)

For Internal Use Only. Not for Distribution outside Novartis.

Rationale for Combination of Dabrafenib and Trametinib in BRAF-mutant Tumours

AE=adverse event; BRAFi=BRAF inhibitor; HR=hazard ratio; MAPK=mitogen-activated protein kinase; MEK=MAPK kinase; MEKi=MEK inhibitor; ORR=objective response rate; OS=overall survival; pERK=phosphorylated extracellular signal-regulated kinase; PFS=progression-free survival; RR=response rate.

1. Grob JJ, et al. Poster presented at SMR 2014;

2. Hauschild A, et al. Poster presented at ASCO 2013;

3. Schadendorf D, et al. Poster presented at SMR 2013;

4. Flaherty KT, et al. N Eng J Med 2012;367:107–14;

5. King AJ, et al. PLoS ONE 2013;8(7):e67583.

pERK

Proliferation Survival Invasion Metastasis

RAS

Mutant BRAF

MEK

Preclinical BRAFi + MEKi5

− Delays BRAFi resistance

− Reduces hyperproliferative skin AEs

MEK inhibitor (trametinib)

− OS: 15.6 months3

− PFS: 4.8 months4

− RR: 22%4

− Rash AE3,4

BRAF inhibitor (dabrafenib)

− OS: 20.1 months1

− PFS: 6.9 months2

− ORR: 59%2

− Hyperproliferative skin AEs1,2

Goals of combination are to:

Suppress MAPK-dependent resistance mechanism

Improve PFS, RR and OS Prolong duration of response Reduce the incidence of BRAFi-induced proliferative skin lesions

(10)
(11)

COMBI-d: Progression-free Survival

Presented By Georgina Long at 2015 ASCO Annual Meeting

COMBI-v PFS

(12)

PRESENTED AT ESMO 2016.

SLIDES ARE THE PROPERTY OF THE AUTHOR. PERMISSION REQUIRED FOR REUSE.

COMBI-v: Duration of Response

12

36 of 68 patients (53%) with a CR on dabrafenib + trametinib are still in CR

21 of 41 patients (51%) with a CR on vemurafenib are still in CR

Patients

Survival, months

0 10 20 30 40

Dabrafenib + Trametinib

0 10 20 30 40

Survival, months

Patients

Vemurafenib

Median DOR (95% CI), months Dabrafenib + Trametinib Vemurafenib

All responders (CR + PR) 13.8 (11.3-17.7) 7.9 (7.4-9.3)

Complete responders 39.6 (26.5-NR) 29.9 (16.7-NR)

Partial responders 10.8 (9.2-12.0) 7.3 (5.8-7.5)

Complete response Partial response

Complete response Partial response

(13)

PRESENTED AT ESMO 2016.

SLIDES ARE THE PROPERTY OF THE AUTHOR. PERMISSION REQUIRED FOR REUSE.

COMBI-v and COMBI-d: Overall Survival Curves

13

D + T in COMBI-v D + T in COMBI-d1 2-year OS 53% (95% CI, 48-58) 52% (95% CI, 45-59) 3-year OS 45% (95% CI, 39-50) 44% (95% CI, 37-51)

Vem in COMBI-v D + Pbo in COMBI-d1 2-year OS 39% (95% CI, 34-45) 43% (95% CI, 36-50) 3-year OS 31% (95% CI, 26-36) 32% (95% CI, 25-38)

OS Probability

Months From Randomization

0 6 12 18 24 30 36 42

1.00

0.75

0.50

0.25

0.00

Patients at risk, n COMBI-d: D + Pbo COMBI-d: D + T COMBI-v: D + T COMBI-v: Vem

21 2 21

1 35

2 35

2

17 5 18

7 31

1 28

9

13 8 14

3 24

5 20

3

10 4 11

1 20

1 15

4

84 96 17 1 11

9

69 86 15 0 10

3

57 76 12 7 81

7 13 33 22

Pbo, placebo. 1. Flaherty KT, et al. J Clin Oncol. 2016;34 (suppl) [abstract 9502].

(14)

CoBRIM: OS benefit remained stable during long-term follow-up of extended treatment

14

C, cobimetinib; OS, overall survival; P, placebo; V, vemurafenib. Data cutoff: 20 June 2016

Time, Months

OS, %

C + V P + V

Median OS, months (95% CI) 22.5 (20.3, 28.8) 17.4 (15.0, 19.8) HR (95% CI); P-value 0.76 (0.60–0.96); P = 0.0188

(15)

Five Baseline Factors Influenced OS

a

ECOG = 0 ECOG ≥ 1

N = 93 1Y = 71%

2Y = 43%

3Y = NE

N = 56 1Y = 42%

2Y = 19%

3Y = 16%

LDH Normal N = 617 LDH ≥ ULN

Disease Sites ≥ 3 Disease Sites < 3

N = 161 1Y = 76%

2Y = 55%

3Y = 38%

N = 237 1Y = 90%

2Y = 75%

3Y = 70%

LDH >1-≤ 2 × ULN

LDH ≥ 2 × ULN N = 70 1Y = 40%

2Y = 7%

3Y = 7%

N = 149 1Y = 60%

2Y = 33%

3Y = 9%

N = 219 1Y = 54%

2Y = 25%

3Y = 7%

N = 398 1Y = 85%

2Y = 67%

3Y = 57%

aRegression tree analysis.

NE, not estimable. PRESENTED BY GV LONG AT SMR 2015

(16)

COMBI-d: Normal LDH a and < 3 Disease Sites b

Presented by: Keith T. Flaherty, MD

aBaseline LDH ≤ ULN; bAny organ at baseline with ≥ 1 metastasis could be counted as a single disease site; +, censored.

96 93 77 65 56 45 36 2 0

76 72 62 52 46 41 35 4 0

D+Pbo D+T Number at risk

Dabrafenib + Trametinib (n = 76)

Dabrafenib + Placebo (n = 96)

3-y OS, 62%

3-y OS, 45%

1.0

0.8

0.6

0.4

0.2

0.0

0

Months From Randomization

OS Probability

2-y OS, 68 % 2-y OS, 61%

6 12 18 24 30 36 42 48

96 64 41 25 16 5 3 0

76 56 39 34 28 25 19 0

D+Pbo D+T Number at risk

0

Months From Randomization

6 12 18 24 30 36 42

1.0

0.8

0.6

0.4

0.2

0.0

3-y PFS, 15%

3-y PFS, 38%

Dabrafenib + Trametinib (n = 76)

Dabrafenib + Placebo (n = 96)

PFS Probability

OS

PFS

(17)

PRESENTED AT ESMO 2016.

SLIDES ARE THE PROPERTY OF THE AUTHOR. PERMISSION REQUIRED FOR REUSE.

COMBI-v: Normal LDH and < 3 Organ Sites With Metastasis

17

Patients at risk, n

D + T Vem

OS Probability

Months From Randomization Vemurafenib (n = 161)

Median OS, 26.4 (95% CI, 21.5-46.8) HR, 0.47 (95% CI, 0.33-0.67)

3-y OS, 70%

3-y OS, 46%

2-y OS, 52%

2-y OS, 79%

Dabrafenib + trametinib (n = 141) Median OS, NR (95% CI, NR-NR)

14 1 16

1 13

5 14

6 12

5 12

5 11

5 91

10 4 75

96 68

83 58

21 16 1.00

0.75

0.50

0.25

0.00

0 6 12 18 24 30 36 42

Patients at risk, n

D + T Vem

Months From Randomization

3-y PFS, 39%

3-y PFS, 16%

2-y PFS, 46%

2-y PFS, 27%

Vemurafenib (n = 161) Median PFS, 10.7 (95% CI, 9.0-11.1)

HR, 0.52 (95% CI, 0.39-0.70)

PFS Probability

Dabrafenib + trametinib (n = 141) Median PFS, 23.0 (95% CI, 18.1-29.7)

14 1 16

1 12

3 93

98 50

76 40

59 22

49 12

43 8

19 2 1.00

0.75

0.50

0.25

0.00

0 6 12 18 24 30 36 42

OS PFS

(18)
(19)

COMBI-d: Treatment-Related Adverse Events (≥20% of Patients)

Presented By Georgina Long at 2015 ASCO Annual Meeting

(20)

Discontinuations

20

V + P (n = 246) 30 Sept 2015

P + V (n = 245) 20 June 2016

C + V (n = 247) 30 Sep 2015

C + V (n = 248) 20 June 2016

Discontinued both V and C/P 216 (88) 225 (92) 193 (78) 209 (84)

Disease Progression 180 (73) 185 (76) 127 (51) 135 (54)

Adverse Events 21 (8.5) 21 (8.6) 36 (14.6) 38 (15.3)

Deaths 2 (0.8) 3 (1.2) 3 (1.2) 4 (1.6)

Other

a

13 (5.3) 16 (6.5) 27 (10.9) 32 (12.9)

(21)

Conclusion TT

• BRAFI/MEKI: Standard of Care in BRAF mut metastatic melanoma patients

• Open Issues:

 Strategies for overcoming the resistance

 Intermittent dosing of double MAPKi (S1320 Trial)

 Treatment Beyond Progression

BeyPro2 Trial

(22)

Treatment Beyond Progression: BeyPro2

BRAFI + MEKI PD

«local» PD

«systemic» PD Second line treatment Second line treatment Combo + local treatment

Study Design: multicenter phase II randomized study

Sites: 16

Number of Patients: 120

Primary endpoint : OS, Secondary PFS, ORR, Toxicity

(23)

BRAF/MEK Inhibitors

• Dabrafenib + trametinib

• Vemurafenib + cobimetinib

Immunotherapy

• Ipilimumab

• Nivolumab

• Nivolumab + ipilimumab

• Pembrolizumab

Treatment Options for BRAF V600–

Mutant Metastatic Melanoma

(24)

Topics

• Background and Rationale

• Immunotherapy with immune checkpoint inhibitors (anti-CTLA4 and anti-PD1)

• New combinations (e.g. anti-PD1 + anti-IDO)

• Combination of immune checkpoint inhibitors and vaccinations

• Combination of targeted therapy and immune checkpoint inhibitors

• Search for Biomarkers

(25)
(26)

Slide 6

(27)

27 Survival Rate Ipilimumab +

gp100 (n=403)

Ipilimumab + placebo (n=137)

gp100 + placebo (n=136)

1 year 44% 46% 25%

2 year 22% 24% 14%

median OS (mts) (95%

CI)

10.0 8.5-11.5

10.1 8.0-13.8

6.4 5.5-8.7

Kaplan-Meier: analysis of survival

lpilimumab + gp100 (A) lpilimumab + placebo (B) gp100 + placebo (C)

Proportion alive

Years

Comparison HR p- value

Arms A vs. C 0.68 0.0004

Arms B vs. C 0.66 0.0026

1 2 3 4

0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0

1 2 3 4

No. At Risk

Ipi plus gp100 403 297 223 163 115 81 54 42 33 24 17 7 6 4 0

Ipi 137 106 79 56 38 30 24 18 13 13 8 5 2 1 0

gp100 136 93 58 32 23 17 16 7 5 5 3 1 0 0 0

MDX010-20

median f/u (mts) 27.8

21 17.2

Hodi FS, et al. N Engl J Med 2010;363:711–723 1 year

2 years

(28)

Rapid and Durable Changes in Target Lesions

Presented by: Jedd D. Wolchok, MD, PhD

1 mg/kg nivolumab + 3 mg/kg ipilimumab

First occurrence of new lesion

• A 52-year-old patient presented with extensive nodal and visceral disease

• Baseline LDH was elevated (2.3 x ULN); symptoms included nausea and vomiting

• Within 4 wk, LDH normalized and symptoms resolved

• At 12 wk, there was marked reduction in all areas of disease as shown

Weeks since treatment initiation

Change in target lesions from baseline (%)

Pre- treatment

12 weeks

(29)

Topics

• Background and Rationale

• Immunotherapy with immune checkpoint inhibitors (anti-CTLA4 and anti-PD1)

• New combinations (e.g. anti-PD1 + anti-IDO)

• Combination of immune checkpoint inhibitors and vaccinations

• Combination of targeted therapy and immune checkpoint inhibitors

• Search for Biomarkers

(30)

Primary Analysis of Pooled OS Data:<br />1861 Patients

(31)

OS: Randomized Patients

31

Alive (%)

Time (Months)

0 10 20 30 40 50 60 70 80 90 100

0 3 6 9 12 15 18 21 24 27 30 33 36 39 42 45 48

IPI 10 mg/kg IPI 3 mg/kg

OS

IPI 10 mg/kg n = 365

IPI 3 mg/kg n = 362

Events (%) 262 (72) 279 (77)

Median (95% CI),

mo 15.7 (11.6, 17.8) 11.5 (9.9, 13.3)

HR (95% CI) 0.84 (0.70, 0.99)

Log-rank P value 0.04

Minimum OS follow-up: ~43 mo Number of patients at risk

IPI 10 mg/kg 365 306 253 217 196 181 161 151 137 126 120 118 111 105 94 16 0

IPI 3 mg/kg 362 310 253 205 168 146 131 118 107 95 87 83 80 76 71 8 0

54%

48% 38%

31%

31%

23%

(32)

Safety Summary: Treated Patients

IPI 10 mg/kg n = 364

IPI 3 mg/kg n = 362

AEs during initial treatment phase Any grade Grades 3-5 Any grade Grades 3-5

AEs, % 95 59 93 52

Treatment-related AEs, % 79 34 63 19

Serious AEs, % 64 53 51 43

AEs leading to discontinuation, % 31 26 19 16

Immune-related AEs, % 74 30 54 14

32

• During the entire study period, study-drug toxicity led to death in

• 4 patients (1%) in the 10 mg/kg arm

• Diarrhea leading to general deterioration, fulminant colitis, multi-organ failure, bowel perforation

• 2 patients (<1%) in the 3 mg/kg arm

• Multifocal colon perforation, myocardial infarction from complications of diarrhea

and colitis

(33)

Response to NIVO Monotherapy

33

*3 mg/kg IV Q2W dose selected for phase III studies of NIVO monotherapy

Dose, mg/kg

ORR,

%, (n/N)

Median Duration of Response, months (range)

All doses 32 (34/107) 23 (4–32)

0.1 35 (6/17) 10 (6–27+)

0.3 28 (5/18) 32 (4–32)

1 34 (12/35) 24 (8–31+)

3* 41 (7/17) 22 (9–27+)

10 20 (4/20) 26 (17–27+)

Database lock Oct 2015 Database lock Sep 2014

(34)

Time to Response and Durability of Response

34

• Follow-up (range): 32–82 months

• 44% (15/34) of responding patients showed a response at first tumor assessment (8 weeks)

• Responses ongoing in 13/34 (38%) responders

Database lock Oct 2015

Patients

0 8 16 24 32 40 48

Time (Month)

On treatment Off treatment First response Ongoing response

(35)

Overall Survival at 5 Years of Follow-up

35

Probability of Survival

Months 0.0

0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0

0 6 12 18 24 30 36 42 48 54 60 66 72 78 84

Database lock Oct 2015

107 86 64 51 49 43 41 36 29 17 15 12 3 1 0

Number of Patients at Risk All Patients

All Patients (events: 69/107), median and 95% CI: 17.3 (12.5–37.8) NIVO 3 mg/kg (events: 11/17), median and 95% CI: 20.3 (7.2–NR)

17 15 11 9 8 7 7 6 6 6 6 6 1 0

NIVO 3 mg/kg

(36)

36

OS Rate, % (95% CI)*

Landmark timepoint All Patients

(N = 107)

NIVO 3 mg/kg (n = 17)

12-month 63 (53–71) 65 (38–82)

24-month 48 (38–57) 47 (23–68)

36-month 42 (32–51) 41 (19–63)

48-month 35 (26–44) 35 (15–57)

60-month 34 (25–43) 35 (15–57)

Median OS, months (95% CI) 17.3 (12.5–37.8) 20.3 (7.2-NR)

Database lock Oct 2015

Summary of Overall Survival

*Based on Kaplan-Meier estimates NR, not reached

(37)

Long term outcomes from Pembrolizumab<br />Keynote 001: 3 year survival

Presented By Marc Ernstoff at 2016 ASCO Annual Meeting

(38)
(39)
(40)
(41)

ASCO 2016

CA209-067: Study Design

aVerified PD-L1 assay with 5% expression level was used for the stratification of patients; validated PD-L1 assay was used for efficacy analyses

bPatients could have been treated beyond progression under protocol-defined circumstances Unresectable or

Metatastic Melanoma

• Previously untreated

• 945 patients

Treat until progressionb

or unacceptable

toxicity NIVO 3 mg/kg Q2W +

IPI-matched placebo NIVO 1 mg/kg +

IPI 3 mg/kg Q3W for 4 doses then NIVO

3 mg/kg Q2W

IPI 3 mg/kg Q3W for 4 doses + NIVO-matched placebo Randomize

1:1:1

Stratify by:

• Tumor PD-L1 expressiona

• BRAF mutation status

• AJCC M stage

N = 314

N = 316

N = 315

Randomized, double-blind,

phase III study to compare NIVO+IPI

or NIVO alone to IPI alone

(42)

ASCO 2016

Progression-Free Survival (Intent-to-Treat Population)

49%

42%

18%

46%

39%

14%

Percentage of PFS

PFS per Investigator (months) 0

10 20 30 40 50 60 70 80 90 100

0 3 6 9 12 15 18 21 24 27

314 316 315

174 148 78

133 114 46

103 94 25

8 8 3 219

177 137

156 127 58

126 104 40

48 46 15

0 0 0 Number of patients at risk:

Nivolumab + Ipilimumab Nivolumab Ipilimumab

NIVO+IPI NIVO IPI

aStratified log-rank P<0.00001 vs. IPI

bExploratory endpoint

Progression-free Survival (%)

NIVO + IPI (N = 314) NIVO (N = 316) IPI (N = 315) Median PFS, months (95% CI) 11.5 (8.9, 16.7) 6.9 (4.3, 9.5) 2.9 (2.8, 3.4)

HR (99.5% CI) vs. IPI 0.42 (0.31, 0.57)a 0.55 (0.43, 0.76)a --

HR (95% CI) vs. NIVO 0.76 (0.60, 0.92)b -- --

Database lock Nov 2015

(43)

ASCO 2016

Response to Treatment

aBy RECIST v1.1 NR = not reached Database lock Nov 2015

NIVO + IPI (N = 314)

NIVO (N = 316)

IPI (N = 315) ORR, % (95% CI)a 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 12.1 9.8 2.2

Partial response 45.5 33.9 16.8

Stable disease 13.1 10.4 21.9

Progressive disease 22.6 38.0 48.9

Unknown 6.7 7.9 10.2

Median duration of response, months (95% CI) NR (20.5, NR) 22.3 (20.7, NR) 14.4 (8.3, NR)

Ongoing response among responders, % 72.5 72.4 51.7

(44)

ASCO 2016

Progression-free Survival by Tumor PD-L1 Expression

Database lock Nov 2015

NIVO + IPI (N = 210)

NIVO (N = 208)

IPI (N = 202) Median PFS, months

(95% CI)

11.1 (8.0, 22.2)

5.3 (2.8, 7.1)

2.8 (2.8, 3.1) HR (95% CI) vs NIVO 0.74

(0.58, 0.96)a

NIVO + IPI (N = 68)

NIVO (N = 80)

IPI (N = 75) Median PFS, months

(95% CI)

NR (9.7, NR)

22.0 (8.9, NR)

3.9 (2.8, 4.2) HR (95% CI) vs.

NIVO

0.87

(0.54, 1.41)a

Percentage of PFS

PFS (months) 0

10 20 30 40 50 60 70 80 90 100

0 3 6 9 12 15 18 21 24 27

210 208 202

113 89 45

86 69 26

69 55 12

5 7 0 142

108 82

101 75 34

81 62 22

31 29 7

0 0 0 Number of

patients at risk:

NIVO + IPI NIVO IPI

NIVO + IPI NIVO IPI

Tumor PD-L1 Expression Level <5%

*Exploratory endpoint

Percentage of PFS

PFS (months) 0

10 20 30 40 50 60 70 80 90 100

0 3 6 9 12 15 18 21 24 27

aExploratory endpoint

68 80 75

44 51 21

33 39 14

22 36 8

3 1 2 53

57 40

39 45 17

31 37 12

13 16 6

0 0 0 Number of

patients at risk:

NIVO + IPI NIVO IPI

NIVO + IPI NIVO IPI

Tumor PD-L1 Expression Level ≥5%

• For the original PD-L1 PFS analysis, the descriptive hazard ratio comparing NIVO+IPI vs NIVO was 0.96, with a similar median PFS in both groups (14 months)

(45)

Types of tumor microenvironment and cancer immunotherapeutic modules

Teng MWL et al. Cancer Res 2015; 75:2139

(46)

ASCO 2016

Safety Summary

• Updated safety information with 9 additional months of follow-up were consistent with the initial report

• 68.8% of patients who discontinued NIVO+IPI due to treatment-related AEs achieved a response

aOne reported in the NIVO group (neutropenia) and one in the IPI group (colon perforation) Database lock Nov 2015

NIVO+IPI (N = 313)

NIVO (N = 313)

IPI (N = 311)

Patients reporting event, % Any grade Grade 3-4 Any grade Grade 3-4 Any grade Grade 3-4 Treatment-related adverse

event (AE) 95.8 56.5 84.0 19.8 85.9 27.0

Treatment-related AE leading

to discontinuation 38.7 30.7 10.5 7.3 15.4 13.5

Treatment-related deatha 0 0.3 0.3

(47)

Topics

• Background and Rationale

• Immunotherapy with immune checkpoint inhibitors (anti-CTLA4 and anti-PD1)

• New combinations (e.g. anti-PD1 + anti-IDO)

• Combination of immune checkpoint inhibitors and vaccinations

• Combination of targeted therapy and immune checkpoint inhibitors

• Search for Biomarkers

(48)

SMR 2014

T-Cell Checkpoint Regulation: other immune checkpoints

• T-cell responses are regulated though a complex balance of inhibitory (“checkpoint”) and activating signals

• Tumors can dysregulate checkpoint and activating pathways, and consequently the immune response

• Targeting checkpoint and activating pathways is an evolving approach to cancer therapy, designed to promote an immune response

Adapted from Mellman I, et al. Nature. 2011:480;481–489; Pardoll DM. Nat Rev Cancer. 2012;12:252–264.

PD-1 CTLA-4 Inhibitory receptors Activating receptors

TIM-3

LAG-3

Antagonistic (blocking) antibodies Agonistic antibodies

T-cell stimulation CD28

OX40

CD137

ONCHQ13NP09700

(49)

Co-inhibitory Receptor Pathways

Anderson AC et al. Immunity 2016; 44:989

(50)

Hierarchy of Co-inhibitory Receptors

Anderson AC et al. Immunity 2016; 44:989

(51)

Specification of Checkpoint-Receptor Pathways

Anderson AC et al. Immunity 2016; 44:989

(52)

Clinical Trials

• Safety Study of Anti-LAG-3 With and Without Anti-PD-1 in the Treatment of Solid Tumors

ClinicalTrials.gov Identifier: NCT01968109

Sponsor: Bristol-Myers Squibb

A Phase 1 Dose Escalation and Cohort Expansion Study of the Safety, Tolerability, and Efficacy of Anti-LAG-3

Monoclonal Antibody (BMS-986016) Administered Alone

and in Combination With Anti-PD-1 Monoclonal Antibody

(Nivolumab, BMS-936558) in Advanced Solid Tumors

(53)

Clinical Trials

• Safety and Efficacy of LAG525 Single Agent and in combination with PDR001 in Patients with Advanced Malignancies

ClinicalTrials.gov Identifier: NCT02460224

Sponsor: Novartis Pharm.

A Phase I/II, Open Label, Multicenter Study of the Safety

and Efficacy of LAG525 Single Agent and in Combination

With PDR001 Administered to Patients With Advanced

Malignancies

(54)

IDO

(55)

A phase III Randomized, Double Blind, Placebo-Controlled

Study of Pembrolizumab (MK-3475) in Combination with

Epacadostat or Placebo in subjects with unresectable or

metastatic melanoma Keynote-252

(56)

Clinical Trials

• Pembrolizumab plus Bevacizumab for Treatment of Brain Metastases in Metastatic Melanoma or Non-Small Cell Lung Cancer

ClinicalTrials.gov Identifier: NCT02681549 Sponsor: Yale University

Phase II Trial

53 pts: 33 with NSCLC

(57)

Future Perspectives

• Combination of immunotherapy and targeted therapy

• Search for Biomarkers helping to determine Frontline Treatment for unresectable metastatic BRAF-mutant melanoma

• New Combinations

• Combination of immune checkpoint inhibitors and vaccinations

• Combination of immune checkpoint inhibitors and RT

(58)

TVEC: summary of genetic modifications

Modification Result

Use of new HSV-1 strain (JS1) Improved tumor cell killing ability compared with other strains

Deletion of ICP34.5 Prevents HSV infection of non-tumor cells, providing tumor-selective replication

Deletion of ICP47 Enables antigen presentation

Earlier insertion of US11 Increases replication and oncolysis of tumor cells

Insertion of human GM-CSF gene

Enhances anti-tumor immune response by

recruiting and stimulating dendritic cells to tumor

site

(59)

T-VEC + PEMBROLIZUMAB

MASTERKEY-265 trial

Phase 1b T-VEC (HCV-1 oncolytic immunotherapy)+ pembrolizumab in stage IIIB-IV melanoma

Pembrolizumab starting at day36

Injectable lesions, no prior therapy

21 pts enrolled

19% BRAF mut

Safety: 33% G3-4 Adverse Events

Fatigue, pyrexia, chills

Confirmed RR=48%

CR=14%

Time to response= 17 weeks

Increased of CD8+ during T-VEC, reduced after pembrolizumab start

Long et al, Abst # 9568

T-VEC+ Pembrolizumab associated with clinical benefit, trials ongoing!

(60)

Future Perspectives

• Combination of immunotherapy and targeted therapy

• Search for Biomarkers helping to determine Frontline Treatment for unresectable metastatic BRAF-mutant melanoma

• New Combinations

• Combination of immune checkpoint inhibitors and vaccinations

• Combination of immune checkpoint inhibitors and RT

(61)

Abscopal Effect

Herrera FG, et al. CA Cancer J Clin 2016

(62)

Abscopal Effect

Herrera FG, et al. CA Cancer J Clin 2016

(63)

Abscopal Effect of local RT

• Trial of SBRT With Concurrent Ipilimumab in Metastatic Melanoma (Phase I)

NCT02406183 21 pts

Sponsor: Radiotherapie, University Hospital, Ghent

• Phase II Trial of Pembrolizumab and Radiotherapy in Melanoma (PERM)

NCT02562625 234 pts

Sponsor: Royal Marsden NHS Foundation Trust

• Study RADVAX: A Stratified Phase I Trial of

Pembrolizumab With Hypofractionated Radiotherapy in Patients With Advanced and Metastatic Cancers (Phase I)

NCT02303990 70 pts

(64)

Topics

• Background and Rationale

• Immunotherapy with immune checkpoint inhibitors (anti-CTLA4 and anti-PD1)

• New combinations (e.g. anti-PD1 + anti-IDO)

• Combination of immune checkpoint inhibitors and vaccinations

• Combination of targeted therapy and immune checkpoint inhibitors

• Search for Biomarkers

(65)

Effects of BRAFIs

on Melanoma and Immune cells

Hu-Lieskovan S, et al. J Clin Oncol 32:2248, 2014

(66)

Antitumor Activity (RECIST v1.1, Investigator Review)

Manageable toxicity, phase II ongoing!

(67)

IDO

(68)
(69)
(70)
(71)
(72)

Response to anti-PD1 therapy in metastatic melanoma: genomic and transcriptomic features

Hugo W et al. Cell 2016; 165:35

(73)

EA6134: Ipi/Nivo to D/T vs D/T to Ipi/Nivo<br />PIs: Michael Atkins (ECOG), Bartosz Chmielowski (SWOG)

Presented By Antoni Ribas at 2016 ASCO Annual Meeting

(74)

• Prospective

randomized phase II study to evaluate the best sequential approach with combo

immunotherapy (ipilimumab/nivoluma b) followed by

combo target

therapy (dabrafenib/

trametinib) and vice- versa

• Patients affected by metastatic

melanoma BRAF V600 mutated

• Sample size 230 pts

(SECOMBIT) Study

PD Combo I until PD

This study is designed as a phase II randomized trial with no formal comparative test.

Endpoints:

Primary – OS

Secondary – PFS, Total PFS (TPFS): the time to the second progression, % patients alive at 2-3 years, BORR;

Duration of Response, Toxicity, Biomarkers study

PD Combo T until PD

Combo I until

PD Combo T until PD

ARM A Combo T

LGX 450 mg MEK 162 45 mg

ARM B Combo I

Ipilimumab 3 mg/Kg Nivolumab 1mg /Kg

ARM C Sandwich

LGX 450 mg MEK 162 45 mg for 8

weeks

(75)

Topics

• Background and Rationale

• Immunotherapy with immune checkpoint inhibitors (anti-CTLA4 and anti-PD1)

• New combinations

• Combination of immune checkpoint inhibitors and vaccinations

• Combination of targeted therapy and immune checkpoint inhibitors

• Search for Biomarkers

(76)

Immune parameters in peripheral blood as predictive factors of response to anti-CTLA-4

Subset/immune parameter Type of association with clinical outcome Author/year

Lymphocyte count >1000/mm3 Improved OS when observed at the start of second course Deylon / 2013 Baseline Neutrophil to

Lymphocyte Ratio (NLR) NLR<5 associated with improved OS Ferrucci /2015 Baseline ANC and dNLR ANC>7500 and dNLR>3 associated with increased risk of

death Ferrucci 2016

Monocyte counts, eosinophil

counts Baseline low absolute monocyte count and high absolute

eosinophil count associated with better survival Martens / 2016 1. Eomes+CD8+ and

2. Ki67+Eomes+CD8+ 1. increase at 6 months associated with relapse.

2. Low baseline level associated with relapse Wang / 2012 ICOS+CD4+and ICOS+CD8+ increase at wk7 associated with improved survival Di Giacomo / 2013

PD-1+CD4+ Low pre-treatment level associated with better OS Kwek / 2015 CD14+CD11b+HLA-DR-MDSCs Higher baseline or post-infusion levels

in non responders Gebhardt / 2015

Lin-CD14+HLA-DR-MDSCs Lower frequency in responders Meyer /2014

FOXP3+Treg at wk 12 Decrease associated with improved survival Simeone / 2014 Lin-CD14+HLA-DR-/low MDSC

and CD4+FoxP3+ Tregs Low baseline MDSCs and high Treg frequencies associated

with better survival Martens / 2016

sCD25 High baseline level associated with resistance to therapy Hannani / 2015 IL-17, TGF-β1, IL-10 Baseline IL-17 levels associated with subsequent colitis.

Combined IL-10 and TGF-β1 associated with PFS Tarhini / 2015

1

2

3

4

(77)

Case Report: T cell activation and maturation at tumor site associated with objective response to Ipi in metastatic melanoma

M. Del Vecchio, R. Mortarini, G. Tragni, L. Di Guardo, I. Bersani, G. Di Tolla, F. Agustoni, V.

Colonna, J.S. Weber, A. Anichini. J Clin Oncol, 2011;29(32):e783-8. Epub 2011 Oct 11

(78)

Regressing lesion Progressing lesion Pre-therapy lesion

Infiltration of activated T cells in the lesion responding to anti-CTLA4

(79)

Post-therapy, progressing lesion: FOXP3+lymphocytes Post-therapy, regressing lesion: FOXP3+lymphocytes

Reduced frequency of regulatory T cells

in the lesion responding to Ipilimumab

(80)

Is immune escape involved in the progressing lesion?

Regressing lesion Progressing lesion

MART-1

gp100

Why is the progressing lesion not responding ?

(81)

HLA-DOB HLA-G HLA-DQA2 HLA-DPB2 HLA-DPB1 HLA-A29.1 HLA-DRB5 HLA-C HLA-F HLA-A HLA-E HLA-DMB HLA-DMA B2MHLA-DRA HLA-DRB3 HLA-B B2MHLA-DRB1 HLA-DRB4 HLA-F HLA-DPA1 HLA-DRA HLA-DRB6 HLA-DPB2 HLA-DQB1

POST1 POST1 POST1 POST2 POST2 POST2

PRE PRE PRE ADR. TISSUE ADR. TISSUE ADR. TISSUE TUMOR only TUMOR only TUMOR only

- 1.5

1 - 1.0

1 - 0.5

0 0.0

0 0.5

0 1.0

1 1.5 1

Why is the progressing lesion not responding ?

Pre-therapy lesion PRE

Post-therapy lesion 1 (regressing lesion)

POST1a

Post-therapy lesion 2 (progressing lesion)

POST2a Adrenal

Tissue Post-2

“Tumor only”

(82)

Post-therapy lesion 2- non responding lesion Post-therapy lesion 1- responding lesion HLA Class I

HLA Class I

(83)

Post-therapy lesion 1- responding lesion

Post-therapy lesion 2- non responding lesion

HLA Class II expression

(84)

Why only some tumors have infiltrating T cells

(85)

CD3 CD4

CD8 PD-L1 β−catenin

Lack of T cell infiltrate in β-catenin-areas of a metastatic lesion

(86)

Acknowledgements

Human Tumors Immunobiology Unit Andrea Anichini Roberta Mortarini Elena Tassi Valentina Perotti Ilaria Penna Giulia Grazia Ilaria Bersani Alessandra Molla Claudia Vegetti Gabriella Nicolini Paola Baldassari

Medical Oncology Lorenza Di Guardo Carolina Cimminiello Lorenzo Pilla*

Filippo De Braud

Melanoma and Sarcoma Unit Andrea Maurichi

Mario Santinami

Dept. of Pathology Gabrina Tragni*

Barbara Valeri

Functional Genomic Core Facility Loris de Cecco Edo Marchesi Silvana Canevari

Grant support CD4+T cell

CD8+T cell

Melanoma Class IMHC

Class IIMHC

(At least) three different immune profiles associated with lack of response to anti-CTLA4 therapy

Immune profile 1: No T cell infiltration;

Immune profile 2: No T cell infiltration and loss of HLA (I/II) molecules;

Immune profile 3: Presence of infiltrating T cells but loss of HLA molecules;

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