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Checkpoint inhibitors nel carcinoma polmonare

Francesco Grossi

UOS Tumori Polmonari

Azienda Ospedaliera Universitaria San Martino IST Istituto Nazionale per la Ricerca sul Cancro

Genova

VI CORSO NAZIONALE AIOM E SIAPEC-IAP 2016 Roma, 15 Giugno 2016

(2)

Agenda

Clinical development of PD-1/PD-L1 inhibitors:

state of the art in 2016

Nivolumab

Pembrolizumab Atezolizumab Durvalumab

Challenges and open questions in 2016

Patients selection based on PD-L1 expression Response evaluation: RECIST vs iRC

Combination with other agents (chemotherapy,

immunotherapy, targeted therapies)

(3)

Agenda

Clinical development of PD-1/PD-L1 inhibitors:

state of the art in 2016

Nivolumab

Pembrolizumab Atezolizumab Durvalumab

Challenges and open questions in 2016

Patients selection based on PD-L1 expression Response evaluation: RECIST vs iRC

Combination with other agents (chemotherapy,

immunotherapy, targeted therapies)

(4)

Clinical development of PD-1 and PD-L1 inhibitors

PD-1 Nivolumab Fully human IgG4 mAb

BMS ph III

Pidilizumab Humanized IgG1 mAb Cure Tech ph II

Pembrolizumab Humanized IgG4 mAb Merck ph III

AMP-224 Recombinant PD-L2 Fc fusion protein

GSK ph I

PD-L1 BMS-936559 Fully human IgG4 mAb BMS ph I

MEDI4736 (Durvalumab)

Engineered human IgG1 mAb

MedImmune ph III

MPDL3280A (Atezolizumab)

Engineered human IgG1 mAb

Genentech ph III

MSB0010718C (Avelumab)

Engineered human IgG1 mAb

EMD Serono ph II

(5)

Nivolumab Pembrolizumab Atezolizumab Durvalumab Avelumab

N 129 475 175 228 184

RR 14%

Squamous 17% 23.5% 27% 21%

Nonsquamous 18% 19% 21% 13%

Drug-related AEs

All grades 41% 71% 66% 50% 77%

Grade 3/4 4.7% 9.5% 11% 8% 12%

RR

PDL-1 + 16% 42% (>50%) 83% (IHC3) PDL-1 - 13% 10% (<1%)

Anti PD1/PDL1 efficacy

in pretreated patients

(6)

CheckMate 017 (NCT01642004) study design

One pre-planned interim analysis for OS

At time of DBL (December 15, 2014), 199 deaths were reported (86% of deaths required for final analysis)

The boundary for declaring superiority for OS at the pre-planned interim analysis was P <0.03

Patients stratified by region and prior paclitaxel use

Nivolumab 3 mg/kg IV Q2W

until PD or unacceptable toxicity

n = 135

Docetaxel 75 mg/m2 IV Q3W

until PD or unacceptable toxicity

n = 137

Randomize 1:1

• Primary Endpoint:

– OS

• Additional Endpoints:

̶ Investigator-assessed ORR

̶ Investigator-assessed PFS

̶ Correlation between PD-L1 expression and efficacy

̶ Safety

̶ Quality of life (LCSS)

• Stage IIIb/IV SQ NSCLC

• 1 prior platinum doublet- based chemotherapy

• ECOG PS 0–1

• Pre-treatment (archival or fresh) tumor samples

required for PD-L1 analysis N = 272

Spigel DR , ASCO 2015

(7)

Check Mate 017: PFS and OS

Brahmer J, NEJM 2015; Reckamp K, WCLC 2015

(8)

CheckMate 017: response and duration of response

Brahmer J, NEJM 2015

(9)

CheckMate 017: OS and PFS by PD-L1 expression

Brahmer J, NEJM 2015 Spigel DR , ASCO 2015

(10)

CheckMate 017: treatment-related AEs reported in at least 5% of patients

and safety summary

Brahmer J, NEJM 2015; Spigel DR , ASCO 2015

(11)

CheckMate 057 (NCT01673867) study design

PD-L1 expression measured using the Dako/BMS automated IHC assay14,15

Fully validated with analytical performance having met all pre-determined acceptance criteria for sensitivity, specificity, precision, and robustness

a Maintenance therapy included pemetrexed, bevacizumab, or erlotinib (not considered a separate line of therapy); b Per RECIST v1.1 criteria as determined by the investigator.

Randomize 1:1

• Stage IIIB/IV non-SQ NSCLC

• Pre-treatment (archival or recent) tumor samples required for PD-L1

• ECOG PS 0–1

• Failed 1 prior platinum doublet

• Prior maintenance therapy alloweda

• Prior TKI therapy allowed for known ALK translocation or EGFR mutation

N = 582

Nivolumab 3 mg/kg IV Q2W

until PD or unacceptable toxicity

n = 292

Docetaxel 75 mg/m2 IV Q3W

until PD or unacceptable toxicity

n = 290

• Primary Endpoint – OS

• Additional Endpoints – ORRb

– PFSb – Safety

– Efficacy by tumor PD-L1 expression

– Quality of life (LCSS)

Patients stratified by prior maintenance therapy and line of therapy (second- vs third-line)

Paz-Ares L , ASCO 2015

(12)

Check Mate 057: PFS and OS

Borghaei H , NEJM 2015; Horn L , ECCO/ESMO 2015

(13)

CheckMate 057: response and duration of response

Borghaei H , NEJM 2015

(14)

CheckMate 057: OS by PD-L1 expression and treatment effect on OS according

to subgroups

Borghaei H , NEJM 2015; Horn L , ECCO/ESMO 2015

(15)

Landmark OS in PD-L1 Non-expressors (<1%)

The majority of patients with no PD-L1 expression are alive at month 3

OS HR and separation of curves favoring nivolumab are observed in the landmark analysis Randomized Subjects with

PD-L1 Expression <1%

Randomized Subjects with

PD-L1 Expression <1% Alive at Month 3

1.0 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0.0

0 3 6 9 12 15 18 21 24 27

Overall Survival (Months)

Probability of Survival

1.0 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0.0

0 3 6 9 12 15 18 21 24 27

Overall Survival (Months)

Probability of Survival Nivolumab

Docetaxel

(16)

CheckMate 057: treatment-related AEs reported in at least 5% of

patients and safety summary

Borghaei H , NEJM 2015; Paz-Ares L , ASCO 2015

(17)

Keynote-010: trial profile

Herbst RS, Lancet 2015

(18)

Keynote-010: OS and PFS for pts with a PD-L1 of 50% or greater and for all pts

Herbst RS, Lancet 2015 & ESMO Asia 2015

(19)

Keynote-010: ORR (RECIST v.1.1, central review)

Herbst RS, ESMO Asia 2015

(20)

Keynote-010: treatment exposure and adverse event summary

Herbst RS, ESMO Asia 2015

(21)

POPLAR: a randomized phase II study with atezolizumab

Fehrenbacher L, Lancet 2016

(22)

POPLAR: PD-L1 expression subgroup

TC1/2/3 or IC 1/2/3 & TC0 & IC0 interim OS

Fehrenbacher L, Lancet 2016

(23)

OS HRs over time and updated median OS

Smith D , ASCO 2016

(24)

OS HRs for Individual TC and IC PD-L1 subgroups

Smith D , ASCO 2016

(25)

Early-phase trials with durvalumab

Agent Population Efficacy Tolerability Durvalumab

(anti–PD-L1)

Squamous (n = 88)

Nonsquamous (n = 112)

ORR: 16%

 27% in PD- L1+

 5% in PD-L1-

Squamous: 21%

Nonsquamous:

13%

Tx-related AEs:

 Any 50% of pts

 Grade 3/4 8%

 Leading to discontinuation:

5%

 No Tx-related colitis or

hyperglycemia, no grade 3/4 pneumonitis

Durvalumab +

tremelimumab (anti–CTLA-4)

Advanced NSCLC (n = 102)

ORR: 27%

 33% PD-L1+

 27% PD-L1-

 Most frequent Tx-related AEs:

diarrhea (27%), fatigue (23%), pruritus (15%), increased

amylase (15%), rash (13%), and colitis (12%)

 Grade 3/4 immune-related AEs: colitis (9%), pneumonitis (4%), and hypothyroidism

(1%) Rizvi NA, ASCO 2015; Antonia SJ, Lancet Oncol 2016

(26)

Agenda

Clinical development of PD-1/PD-L1 inhibitors:

state of the art in 2016

Nivolumab

Pembrolizumab Atezolizumab Durvalumab

Challenges and open questions in 2016

Patients selection based on PD-L1 expression Response evaluation: RECIST vs iRC

Combination with other agents (chemotherapy,

immunotherapy, targeted therapies)

(27)

Candidate predictive PD-L1antibodies

PD-L1 Drug and Vendor

Nivolumab BMS

Pembrolizumab Merck

Atezolizumab Roche

Durvalumab AstraZeneca

Clone and Source

28-8 Abcam

22c3 Dako

SP142 Spring Bio

SP263 Spring Bio IVD Class III

partner

Dako Dako Ventana Ventana

Scoring Method % cells with membrane staining at any intensity

% cells with membrane staining at any intensity

TC =Tumor cell IC= Immune cell Combine both percentage and subjective

intensity

% cells with membrane staining at any intensity

Thresholds 1%, 5%, or 10% >1%

1-49%

>50%

TC3 =TC>50%

IC3 = IC>10%

TC2/IC2 = TC or IC >5%

TC1/IC1 = TC or IC >1%

>25%

Method Pathologist/

Subjective

Pathologist/

Subjective

Pathologist/

Subjective

Pathologist/

Subjective

Rimm DL, WCLC 2015

(28)

PDL1 expression positive

or negative?

(29)

PDL1 expression positive

or negative?

(30)

Response to Nivolumab

Grossi F, Nivolumab EAP 2015/16

(31)

Progression with Nivolumab?

Grossi F, Nivolumab EAP 2015/16

(32)

Influence on post-therapeutic evaluation

Immunomodulators and immune checkpoint inhibitors lead to tumor regression but can also potentially increase inflammatory cell infiltration The immune reaction driven by

immunotherapy may causes

inflammatory cells to flock around the target lesions, thus increasing the size of both target and non-

target lesions, even the appearance of new lesions

The radiological evaluation of

patients treated by immunotherapy should therefore take this into

account

Chen DS, Immunity 2013

(33)

Immunotherapy creates patterns of response different from those of CT

Four patterns of tumor response to immunotherapy have been

described:

regression of the initial lesions

without appearance of new lesions;

unchanged tumor burden but followed by a slow, continuous regression of the overall tumor burden in some patients;

regression of initial lesions

associated with the appearance of new lesions;

regression of lesions after an initial increase of the overall tumor burden (flare)

Wolchok JD, Clin Cancer Res. 2009

(34)

Pseudoprogression (Flare)

In studies of immunotherapies, durable CR, PR or SD have occurred after initial PD by WHO or RECIST criteria

Longer time may be necessary for immune response

West HJ, JAMA Oncol 2015; Brahmer JR, N Engl J Med 2012

(35)

How to differentiate pseudo-PD from actual PD

Progression is more common than pseudoprogression

Pseudo-PD often occurs earlier, but can occur later as well Discontinuation of immunotherapy after “early” PD by

WHO or RECIST may not be appropriate unless confirmed If PD is misidentified and patient continues treatment

Actual disease progression occurs

Patients may not be physically able to go on additional therapies

Actual progression likely in patients who are symptomatic New immune-related response criteria (irRC) have been proposed to take into account the specificities of

immunotherapy.

(36)

Comparison between the RECIST 1.1, the WHO and the irRC criteria

Adapted from Wolchok JD, Clin Cancer Res 2009

(37)

irRC focus on central concepts for capturing immunotherapy response patterns

Image-based confirmation of progression via

subsequent scan(s) to detect delayed responses

confirmatory scan 4 weeks after first detection of progression

in diseases with less aggressive 4-week interval can be adjusted, for example, to 8 or 12 weeks

Measuring new lesions to include them into the total tumor volume

Accounting for durable stable disease as a benefit Treating beyond conventional progression if the clinical situation allows

Wolchok JD, N Engl J Med 2013; Ferretti GR , Diagnostic and Interventional Imaging 2016; Hoos A, Clin Cancer Res 2015

(38)

Advances of irRC utility between 2009 and 2015

Transferability of irRC concepts between WHO (bidimensional) and RECIST (unidimensional)

Application of irRC to diseases beyond melanoma Inclusion of irRC concepts into regulatory guidance documents of the FDA and EMA

Expansion of irRC concepts beyond the initial implementation

new studies with PD-1/PDL1 checkpoint blocking antibodies are demonstrating the expansion of irRC concepts via longer follow-up periods beyond progression and describing patterns such as

"spikes,“ "waves," and "blips"

Demonstration of an irRC-detected class effect across several immunotherapies

Hoos A, Clin Cancer Res 2015

(39)

Limitations to the irRC criteria

The bidimensional measurements are in line with WHO criteria, but are now rarely used in clinical studies and are replaced by the

unidirectional measurement of the larger axis of target lesions (RECIST 1.0 and 1.1)

Such bidimensional measurements introduce a greater variability than unidirectional

measurements and make it difficult to compare

the responses with studies using the RECIST

criteria

(40)

irRC criteria revised into new immune- related RECIST 1.1 (irRECIST 1.1)

irRC: immune-related response criteria; irRECIST 1.1: immune-related RECIST 1.1; CR: complete response; PR: partial response; PD:

progressive disease.

Modified from Nishino M, Clin Cancer Res 2013

(41)

Anti–PD-1 therapy past progression in NSCLC: Conclusions

Findings indicate a subset of pts receiving TPP obtain subsequent PR (8%)

Unclear whether response due to TPP or delayed immunotherapy effect

Additional research needed to determine pt/disease features that predict benefit from TPP

FDA advises that risks of continued treatment (ie, immune-related

adverse reactions) should be balanced with possibility of further tumor shrinkage

Future RCTs needed to prospectively establish benefit of TPP

Findings may influence treatment at individual pt level, but unlikely to change FDA regulatory endpoint results or benefit/risk determination

Kazandjian DG, ASCO 2016

(42)

Therapies that might affect the cancer-immunity cycle

Chen DS, Immunity 2013

(43)

Potential characteristics of immunogenic and nonimmunogenic tumors

Evaluation of tumor tissues may reveal an immunogenic tumor microenvironment consisting of many immunologic markers, including CD8 T cells, CD4 T cells, PD-L1, granzyme B, and CD45 RO, which may be effectively treated with immune checkpoint therapy to elicit clinical benefit.

Tumor tissues that lack expression of many immunologic markers may indicate a

nonimmunogenic tumor microenvironment, which may require combination therapies consisting of an agent to create an

immunogenic tumor microenvironment plus an immune checkpoint agent to further

enhance the immune response for clinical benefit

Sharma P, Science

(44)

Potential mechanisms of action to mediate synergistic effects of combined therapies

Melero I, Nat Rev Cancer 2015

(45)

Rapid evolution of combination

immunotherapy in cancer treatment

Adapted from Melero I, Nat Rev Cancer 2015

(46)

Challenges

Pardoll DM, Nature Rev Cancer 2012

Which combination and sequence?

Scientific rationale is lacking With or without chemotherapy Which combination of

checkpoint inhibitor

Sequencing duration of treatment Patient selection → biomarker

Differences per tumor location

Differences within a tumor location

(47)

Building immunotherapy

combinations on the pillar of PD1 or PDL1 blockade

Melero I, Nat Rev Cancer 2015

(48)

Examples of phase III anti-PD1/PD-L1

combination trials in 1 st -line advanced NSCLC

(49)

CheckMate 012: study design

Nivolumab monotherapy

Nivolumab +

Erlotinib

Nivolumab +

Ipilimumab Nivolumab

+ PT-DC

Nivolumab +

Bevacizumab

Stage IIIB/IV NSCLC; no prior chemotherapy for advanced disease; ECOG PS 0 or 1

Rizvi N, WCLC 2015

(50)

CheckMate 012: summary of efficacy

NC = not calculated (when >25% of patients are censored); NR = not reached

Combination data based on a February 2016 database lock; monotherapy data based on a March 2015 database lock except for OS data, which are based on an August 2015 database lock

Hellmann MD, ASCO 2016

(51)

CheckMate 012: safety summary

•There were no treatment-related deaths

•Treatment-related grade 3–4 AEs led to discontinuation at a third of the rate seen with older combination arms using higher or more frequent doses of ipilimumab6

Hellmann MD, ASCO 2016

(52)

Safety and antitumour activity of durvalumab plus tremelimumab in NSCLC: a multicentre,

phase 1b study: design and efficacy

Antonia S, Lancet Oncol 2016

(53)

Safety and antitumour activity of durvalumab plus tremelimumab in NSCLC: a multicentre,

phase 1b study: safety

Antonia S, Lancet Oncol 2016

(54)

Phase Ib GP28328 (NCT01633970): study design and endpoints: NSCLC Cohort

Primary endpoint: safety (including dose-limiting toxicities)

Secondary endpoints: pharmacokinetics; best overall response; objective response rate (ORR); duration of response (DOR); progression-free survival (PFS)

Date of cut-off: 10 Feb 2015; median safety follow-up: 128.5 days (4.2 months)

Atezolizumab 15 mg/kg i.v. q3w + CBDCA AUC=6 i.v. q3w + paclitaxel 200 mg/m2 i.v. q3w (4-6 cycles)

Atezolizumab 15mg/kg i.v. q3w + CBDCA AUC=6 i.v. q3w (4–6 cycles) + pemetrexed 500 mg/m2 i.v. q3w

(maintenance pemetrexed)

Solid tumors ECOG PS 0–1 (n = 58 NSCLC cohort at data cut-off; n = 25 per arm

planned)

Atezolizumab 15mg/kg i.v. q3w + CBDCA AUC=6 i.v. q3w + nab-paclitaxel 100 mg/m2 i.v. q1w (4–6 cycles)

Arm C: NSCLC

Arm D: NSCLC

Arm E: NSCLC

Camidge DR, WCLC 2015

(55)

Phase Ib GP28328 (NCT01633970):

summary of response by RECIST criteria

Camidge DR, WCLC 2015

(56)

Phase Ib GP28328 (NCT01633970): depth of response and changes in tumor burden by

treatment arm

Camidge DR, WCLC 2015

(57)

Phase Ib GP28328 (NCT01633970):

summary of safety data

Camidge DR, WCLC 2015

(58)

Take home messages

Clinical trials of immune checkpoint blockade have reported striking and durable clinical outcomes in a variety of tumors, including NSCLC

Immune checkpoint agents have considerable potential not only as single agents, but also as part of combination therapy with other

immunotherapies, or current standard therapies (including chemotherapy, radiotherapy and targeted therapy) A number of Phase III clinical trials in NSCLC are currently ongoing to

evaluate these agents and their

results are eagerly anticipated, in the hope that they will transform present therapeutic regimes in this lethal

disease Sharma P, Cell 2015

(59)

Grazie per l’attenzione!

francesco.grossi@hsanmartino.it

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