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Coley, Am J Med Sci 1893;105:487-510
ILC, innate lymphoid cell; NK, natural killer.
Abbas AK et al. Cellular and Molecular Immunology. 8th ed. Philadelphia, PA: Elsevier Saunders; 2015.
Tipos de respuesta inmune:
innata y adquirida
Abbas AK et al. Cellular and Molecular Immunology. 8th ed. Philadelphia, PA: Elsevier Saunders; 2015.
AIS: Lymph, APCs and Effector cells
Antigen Recognition Effector Functions
B lymphocyte
Helper T
lymphocyte
Cytotoxic T
lymphocyte
(CTL)
Regulatory
T lymphocyte
Microbe
Neutralization of
microbe,
phagocytosis,
complement
activation
Activation of
macrophages
Inflammation
T and B lymphocyte
proliferation/
differentiation
Killing of
infected cells
Suppression of
other lymphocytes
Antibody
Cytokines
Microbial antigen
presented
by antigen-
presented cell
Infected cell expressing
microbial antigen
Abbas AK et al. Cellular and Molecular Immunology. 8th ed. Philadelphia, PA: Elsevier Saunders; 2015.
Clinical observations and animal experiments have established that
although tumour cells are derived from host cells, they elicit immune
responses [because they have tumor Ags]
Immuno-Oncology: The Rationale
Tumor
Microenvironment
Abbas AK et al. Cellular and Molecular Immunology. 8th ed. Philadelphia, PA: Elsevier Saunders; 2015.
Estudio años 50
Abbas AK et al. Cellular and Molecular Immunology. 8th ed. Philadelphia, PA: Elsevier Saunders; 2015.
• The immune system can identify and
eliminate tumor cells based on their
expression of tumor-specific antigens1-
3
• An ideal cancer antigen:1
– Specifically and stably expressed
by the tumour
– Absent from normal tissues
– Crucial for survival of cancer cell
Tumour Antigens
1. Simpson AJ et al. Nat Rev Cancer. 2005;5(8):618-625.
2. 2. Cabellero OL, Chen Y-T. Cancer Sci. 2009; 100(11):2014-2021.
Tumor cell
Tumor
antigen
Microbial proteins/
mutated proteins/
fusion proteins
Tipo de antígeno Ejemplos
Productos de oncogenes mutados y de
genes supresores tumorales
Productos de oncogenes: mutaciones
Ras (10% de los carcinomas), p210
(producto de reordenamiento bcr/abl)
Productos de genes supresores: p53
mutado (en el 50% de los tumores)
Productos de oncogenes no mutados
pero sobreexpresados
HER2neu (mama, otros)
Formas mutadas de genes celulares no
involucradas en tumorogénesis
Varias proteínas mutadas en
melanoma reconocidas por
liinfocíticos T citotóxicos
Productos de genes que son silentes
en tejidos normales
Antígenos de cáncer /testículo
expresados en melanoma y muchos
carcinomas; normalmente expresados
en testículos y placenta
Antígenos tumorales
Tipo de antígeno Ejemplos
Proteínas no-oncogénicas normales
sobreexpresadas en células tumorales
Tirosinasa, gp100, MART en
melanomas (normalmente expresados
en melanocitos)
Productos de virus oncogénicos Proteínas del papilomavirus E6 y E7
(carcinoma cervical)
Proteína EBNA-1 del EBV (linfomas,
carcinoma nasofaríngeo)
Antígenos oncofetales CEA; AFP
Glicolípidos y glicoproteínas GM2; GD2 en melanomas
Antígenos de diferenciación
normalmente presentes en tejido de
origen
PSA en carcinoma de próstata
CD20 en linfomas B
Antígenos tumorales
Tumour Immunity: Immune Surveillance
Chen DS, Mellman I. Immunity 2013; 39:1-10.
Tumour Immunity: Immune Surveillance
Chen DS, Mellman I. Immunity 2013; 39:1-10.
Inmunoedición
Dorff TB. Ther Adv Med Oncol. 2009 Nov;1(3):183–205.
Los tumores pueden evadir el sistema inmune
Mechanisms of Tumor Immune Escape
Specialized tumour mechanisms for evading
host immune responses
Poor immunogenicity of tumour
Rapid growth and spread may overwhelm the
capacity of the immune system to effectively
control the tumour
Razones potenciales por las que la respuesta antitumoral es incapaz de
erradicar las células transformadas
Tumor
Microenvironment
Abbas AK et al. Cellular and Molecular Immunology. 8th ed. Philadelphia, PA: Elsevier Saunders; 2015.
Los tumores usan mecanismos complejos
para evadir y suprimir el sistema inmune
1. Drake CG et al. Adv Immunol. 2006;90:51-81.
2. 2. Vesely MD et al. Annu Rev Immunol. 2011;29:235-271.
Inhibition of tumour antigen
presentation
eg, down-regulation of MHC I
1APC
Los tumores usan mecanismos complejos
para evadir y suprimir el sistema inmune
1. Drake CG et al. Adv Immunol. 2006;90:51-81.
2. 2. Vesely MD et al. Annu Rev Immunol. 2011;29:235-271.
Inhibition of tumour antigen
presentation
eg, down-regulation of MHC I
1APC
Secretion of
immunosuppressive factors
eg, TGF-β
2
Tumour
cell
Los tumores usan mecanismos complejos
para evadir y suprimir el sistema inmune
1. Drake CG et al. Adv Immunol. 2006;90:51-81.
2. 2. Vesely MD et al. Annu Rev Immunol. 2011;29:235-271.
Inhibition of tumour antigen
presentation
eg, down-regulation of MHC I
1APC
Secretion of
immunosuppressive factors
eg, TGF-β
2
Tumour
cell
Inhibition of attack by
immune cells
eg, disruption of T-cell
checkpoint pathways
3
Inactive
T cell
Los tumores usan mecanismos complejos
para evadir y suprimir el sistema inmune
1. Drake CG et al. Adv Immunol. 2006;90:51-81.
2. 2. Vesely MD et al. Annu Rev Immunol. 2011;29:235-271.
Inhibition of tumour antigen
presentation
eg, down-regulation of MHC I
1APC
Secretion of
immunosuppressive factors
eg, TGF-β
2
Tumour
cell
Inhibition of attack by
immune cells
eg, disruption of T-cell
checkpoint pathways
3
Inactive
T cell
Recruitment of
immunosuppressive cell types
eg, Treg
4
Los tumores usan mecanismos complejos
para evadir y suprimir el sistema inmune
1. Drake CG et al. Adv Immunol. 2006;90:51-81.
2. 2. Vesely MD et al. Annu Rev Immunol. 2011;29:235-271.
Inhibition of tumour antigen
presentation
eg, down-regulation of MHC I
1APC
Secretion of
immunosuppressive factors
eg, TGF-β
2
Tumour
cell
Inhibition of attack by
immune cells
eg, disruption of T-cell
checkpoint pathways
3
Inactive
T cell
Recruitment of
immunosuppressive cell types
eg, Treg
4
T-Cell Activation: Priming
Two signals in a T-cell response govern whether the cell will be activated
or inhibited1
– The primary signal takes place when antigens are presented through the major
histocompatibility complex to the T-cell receptor2
– The secondary signal may be a co-stimulatory or a co-inhibitory signal, which
will lead to T-cell activation or T-cell inhibition, respectively1,2
1. Pardoll DM. Nat Rev Cancer. 2012;12(4):252-264. 2. Weber J. Semin Oncol. 2010;37(5):430-439.
T cell
APC
Primary Signal
MHC
TCR
T cell
APC
Secondary Signal
MHC
TCR
1 1 2
T-Cell Regulation: Checkpoint Pathways
Activation of T cells depends on the balance of the co-stimulatory and co-
inhibitory signals, which are also known as checkpoint pathways1,2
Activates T cell
T cell
APC
Co-stimulatory signal
MHC
TCR
Co-
stimulatory
1 2
Inhibits T cell
T cell
APC
Co-inhibitory signal
MHC
TCR
Co-
inhibitory
1 2
1. Pardoll DM. Nat Rev Cancer. 2012;12(4):252-264. 2. Weber J. Semin Oncol. 2010;37(5):430-439.
Checkpoint Pathways
Pardoll DM. Nat Rev Cancer. 2012;12(4):252-264.
APC/
Tumor
T cell
B7-DC(PD-L2)
CD40 CD40L
CD137
OX40
CD137L
OX40L
MHC
CD28B7-2 (CD86)
TCR
Activation
Inhibition
Inhibition
Inhibition
Activation
Activation
Activation
Inhibition
The number of
molecules regulating T-
cell activation is high and
the system is very
complex
The expression of certain
molecules and their
interaction with receptors
in the T cell cause either
activation or inhibition of
the T cell
Adapted from Pardoll, 2012.
“Brakes”
to
the
immune
reaction
PD-1
B7-1 (CD80)
B7-H1(PD-L1)
LAG-3
B7-1 (CD80) CTLA-4
Chen DS, Mellman I. Immunity 2013; 39:1-10.
De la teoría a la práctica
Tumor MicroenvironmentLymph Node
CTLA-4, cytotoxic T-lymphocyte antigen-4; PD-1, programmed death-1.
Pardoll DM. Nat Rev Cancer. 2012;12(4):252-264.
CTLA-4 pathway PD-1 pathway
CTLA-4B7-1 (CD80
PD-1
PD-L1 (B7-H1)MHC
TCR
MHC
TCR
Over the last several years, multiple compounds targeting CTLA-4 or PD-1/PD-L1
have been developed:
PD-1:
• Nivolumab [BMS]
• Pembrolizumab [MSD]
• Pidilizumab [Medivation]
• AMP-514 [MedImmune/Amplimmune]
• AMP-224 [MedImmune/Amplimmune]
• PDR001 [Novartis]
PD-L1:
• Atezolizumab/MPDL3280A [Roche/Genentech]
• BMS-936559 [BMS]
• Durvalumab/MEDI4736 [MedImmune/AZ]
• Avelumab/MSB0010718C [EMD Serono/Merck KGaA/Pfizer]
Targeting the CTLA-4 and PD-1
Checkpoint Pathways
CTLA-4:
• Ipilimumab [BMS]
• Tremelimumab [MedImmune/AZ]
¿Por qué el cáncer de pulmón?
Figure: Somatic mutation frequencies observed in exomes from 3,083 tumor-normal pairs
Lawrence et al; Nature 499, 214–218 (11 July 2013)
Lung tumors along with other malignancies such as bladder and melanoma display
a high number of somatic mutations rendering these tumors more immunogenic
Mayor M, European Journal of Cardio-Thoracic Surgery. 2015 Oct 29;:ezv371–10.
Ellis LM. J Clin Oncol; 2014 Apr 20;32(12):1277–80.
Summary of recommended targets for meaningful clinical trials goals:
Lung Cancer
Primary End Point Secondary End Point
Current
baseline
median
OS(m)
Improvement over
current OS that
would be clinically
meaningful (months)
Targets
HR
Improvement
in 1-year
survival rate
(%)
Improvement
in PFS
(months)
Lung cancer
Non-squamous
13 3.25-4 0.76-0.8 53 61 4
Lung cancer
Squamous
10 2.5-3 0.77-0.8 44 63 3
Agent Immunoth.
approach
Study design Population Results
SRL172
O’Brien
Ann Oncol 2014
Nonspecific
vaccine (killed
Mycob)
Open label: CT +
SLR172 (phase
III)
Stage III/IV
unresectable
NSCLC
Primary OS
endpoint not
met
Tecemotide
Butts
Lancet Oncol
2014
Tumor-specific
MUC1 vaccine
START:
Tecemotide vs
placebo (phase
III)
Stage III after
CT-RDT
Primary OS
endpoint not
met
MAGE-3
Vanteenkiste
ESMO 2014
Tumor specific
MAGE-3 vaccine
MAGRIT: MAGE-
vs placebo
Stage IB-IIIA
resected MAGE-
3 positive
Primary DFS
endpoint not
met
GVAX
Nemunaitis
Cancer Gen Ther
2006
Autologous
tumor cell
vaccine
GVAX alone
(phase I/II)
Advanced NSCLC No responses
Failed Immunotherapies tested in NSCLC
Agent Immunoth.
approach
Study design Population Results
Belagenpumatucel-L
Giaconne
ECCO 2014
TGF-b-
blocking
allogenic
tumor cell
vaccine
STOP:
maintenance vs
placebo (phase
III)
Stage III/IV
NSCLC; no
disease
progressión
after frontline
therapy
Primary OS
endpoint not
met; predefined
subgroups
benefit
Talactoferrin
Nemunaitis
Ann Oncol 2013
Dendritic cell
activation
FORTIS-M:
talactoferrine vs
placebo (phase
III)
Stage III/IV
NSCLC refractory
to 2 or more
therapies
Primary OS
endpoint not
met
CPG 7909
Manegold
Ann Oncol 2012
Dendritic cell
activation
Chemotherapy +
CPG 7909 (phase
III)
Stage III/IV
NSCLC naïve to
chemotherapy
Primary OS
endpoint not
met
Failed Immunotherapies tested in NSCLC
CTLA-4 = cytotoxic T-lymphocyte-associated protein 4
PD-1 = programmed death 1; PD-L1 = programmed death ligand 1
Please note that atezolizumab has not received regulatory approval in any country yet
1. Mellman, et al. Nature 2011
2. Chen & Mellman. Immunity 2013
7
Killing of cancer cells
(immune and cancer cells)
Anti-CTLA-4
CTLA-4 is a major negative regulator of T cell activationand
inhibition of CTLA-4 can enhance T cell stimulation, resulting in
more potent anti-tumour responses1
Ipilimumab
Tremelimumab
Anti-PDL1/PD1
PD-L1 expression on tumour cells and tumour-infiltrating
immune cells can inhibit T cell activity via its receptor PD-1,
dampening the anti-tumour immune response. Inhibition of
PD-L1 or its receptor PD-1 may restore T cell effector function2
Atezolizumab (anti-PDL1)
Durvalumab (anti-PDL1)
Nivolumab (anti-PD1)
Pembrolizumab (anti-PD1)
CD28
OX40
GITR
CD137
CD27
HVEM
CTLA-4
PD-1
TIM-3
BTLA
VISTA
LAG-3
T cell targets for modulating activity
Activating
Receptors
Inhibitory
Receptors
T cell
stimulation
Agonistic
Antibodies
Blocking
Antibodies
T cell
Pennell NA. Understanding the Rationale for Immunotherapy in Non-Small Cell Lung Cancer.
Seminars in Oncology. 2015 Oct;42 Suppl 2:S3–S10.
Chemoterapy-
naïve stage
IIIB/IV NSCLC
(n=204)
R
A
N
D
O
M
I
Z
E
Concurrent ipilimumab +
P/C (n=70)
Phased ipilimumab + P/C
(n=68)
Placebo+ P/C
(n=66)
Ipilimumab q 12
weeks
Ipilimumab q 12
weeks
Placebo q 12 weeks
1:1:1
- P/C: 175 mg/m2 paclitaxel + AUC=6 carboplatin q 3 weeks x 6 doses
- Concurrent ipilimumab: 10 mg/kg q 3 weeks x 4 doses
- Phased ipilimumab: placebo q 3 weeks x 2 doses followed by IPI q 3 weeks x 4 doses
- Primary endpoint: inmune-related PFS (irPFS)
Lynch. Journal of Clinical Oncology. 2012 Jun 8;30(17):2046–54.
Lynch. Journal of Clinical Oncology. 2012 Jun 8;30(17):2046–54.
Phased ipilimumab regimen improved WHOPFS in patients with
squamous histology: HR: 0.40 (95% CI, 0.18-0.87)
Zielinski; Ann Oncol 2013,24(5):1170-1179
Pennell NA. Understanding the Rationale for Immunotherapy in Non-Small Cell Lung Cancer.
Seminars in Oncology. 2015 Oct;42 Suppl 2:S3–S10.
Gettinger SN. J Clin Oncol; 2015 Jun 20;33(18):2004–12.
NIVOLUMAB: phase I dose-escalation cohort expansion trial
N=129
RR:17%
CheckMate 017: Nivolumab vs Docetaxel in
Previously Treated Squamous NSCLC
Open-label, randomized phase III trial
Primary endpoint: OS
Secondary endpoints: ORR, PFS, efficacy by PD-L1 expression, safety,
QoL
Pts with stage IIIB/IV
squamous NSCLC and ECOG
PS 0-1 with failure of 1
previous platinum doublet
chemotherapy
(N = 272)
Nivolumab 3 mg/kg IV q2w
(n = 135)
Docetaxel 75 mg/m2 IV q3w
(n = 137)
Until disease
progression or
unacceptable toxicity
Stratified by previous paclitaxel
therapy (yes vs no) and region
Spigel DR, et al. ASCO 2015. Abstract 8009. Brahmer J, et al. N Engl J Med. 2015;[Epub ahead of print].
CheckMate 017: Baseline Characteristics
Characteristic
Nivolumab
(n = 135)
Docetaxel
(n = 137)
Median age, yrs (range) 62 (39-85) 64 (42-84)
Male, % 82 71
Current/former smoker, % 90 94
ECOG PS 1, % 79 73
Stage IV disease,* % 78 82
CNS metastasis, % 7 6
Prior paclitaxel, % 34 34
PD-L1 expression,† %
 ≥ 1%
 ≥ 5%
 ≥ 10%
 Not quantifiable
47
31
27
13
41
29
24
21
*Stage not reported in 1 pt in the nivolumab and 1 pt in the docetaxel groups.
†83% of pts had quantifiable PD-L1 expression. PD-L1 expression measured in pre-treatment tumor
biopsies with validated, automated immunohistochemical assay using PD-L1 antibody clone 28–8.
Spigel DR, et al. ASCO 2015. Abstract 8009. Brahmer J, et al. N Engl J Med. 2015;[Epub ahead of print].
CheckMate 017: OS in the ITT Population
Spigel DR, et al. ASCO 2015. Abstract 8009. Brahmer J, et al. N Engl J Med. 2015;[Epub ahead of print].
0 3 6 9 12 15 18 21 24
100
80
60
40
20
0
OverallSurvival
(%ofPatients)
MosAt Risk, n
Nivolumab
Docetaxel
135
137
113
103
86
68
69
45
52
30
31
14
15
7
7
2
0
0
HR for death, 0.59 (0.44-0.79)
P < .001
Nivolumab
Docetaxel
Median OS
Months (95%CI)
1-yr OS
% of patients
(95%CI)
Nivolumab (n=135) 9.2 (7.3-13.3) 42 (34-50)
Docetaxel (n=137) 6.0 (5.1-7.3) 24 (17-31)
Brahmer, J. NEJM 2015;373:123-35
Variable Nivolumab
(n=135)
Docetaxel
(n=137)
Objective response (%) 20 9
Odds ratio (95% CI) 2.6 (1.3-5.5)
p value 0.008
Brahmer, J. NEJM 2015;373:123-35
Duración de la respuesta: NR nivolumab, 8.4 m docetaxel
Mediana número de ciclos: 8 nivolumab, 3 docetaxel
Brahmer, J. NEJM 2015;373:123-35
CheckMate 017: Tx-Related Aes
Treatment-Related AEs
≥ 10%, %
Nivolumab (n = 131) Docetaxel (n = 129)
Any Grade Grade 3/4 Any Grade Grade 3/4
All events 58 7 86 55
Leading to discontinuation 3 2 10 7
Fatigue 16 1 33 8
Decreased appetite 11 1 19 1
Asthenia 10 0 14 4
Nausea 9 0 23 2
Diarrhea 8 0 20 2
Vomiting 3 0 11 1
Myalgia 2 0 10 0
Anemia 2 0 22 3
Peripheral neuropathy 1 0 12 2
Neutropenia 1 0 33 30
Febrile neutropenia 0 0 11 10
Alopecia 0 0 22 1
Spigel DR, et al. ASCO 2015. Abstract 8009. Brahmer J, et al. N Engl J Med. 2015; [Epub ahead of print].
CheckMate 017: Select Tx-Related irAEs
Treatment-Related irAEs, %
Nivolumab (n = 131) Docetaxel (n = 129)
Any Grade Grade 3/4 Any Grade Grade 3/4
Endocrine
 Hypothyroidism
4
4
0
0
0
0
0
0
Gastrointestinal
 Diarrhea
 Colitis
8
8
1
1
0
1
20
20
0
2
2
0
Hepatic
 ALT increase
 AST increase
2
2
2
0
0
0
2
1
1
1
1
1
Pulmonary
 Pneumonitis
 Lung infiltration
 Interstitial lung disease
5
5
1
0
1
1
0
0
1
0
0
1
0
0
0
0
Renal
 Blood creatinine increase
 Tubulointestinal nephritis
3
3
1
1
0
1
2
2
0
0
0
0
Skin 9 0 9 2
Hypersensitivity/infusion reaction 1 0 2 1
Spigel DR, et al. ASCO 2015. Abstract 8009. Brahmer J, et al. N Engl J Med. 2015; [Epub ahead of print].
CheckMate 057: Nivolumab vs Docetaxel in
Previously Treated Non-Squamous NSCLC
Open-label, randomized phase III trial
Primary endpoint: OS
Secondary endpoints: ORR, PFS, efficacy by PD-L1 expression, safety,
QoL
Pts with stage IIIB/IV
squamous NSCLC and ECOG
PS 0-1 with failure of 1
previous platinum doublet
chemotherapy
(N = 582)
Nivolumab 3 mg/kg IV q2w
(n = 292)
Docetaxel 75 mg/m2 IV q3w
(n = 290)
Until disease
progression or
unacceptable toxicity
Borghaei H, Paz-Ares L, Horn L, Spigel DR, Steins M, Ready NE, et al. Nivolumab versus Docetaxel in
Advanced Nonsquamous Non–Small-Cell Lung Cancer. New England Journal of Medicine. 2015 Sep
27;:150927150118000–13.
Borghaei H, New England Journal of Medicine. 2015 Sep 27;:150927150118000–13.
HR= 0.73 (96% CI, 0.59-0.89)
P=.0002
Median OS
Months (95%CI)
1-yr OS
% of patients
(95%CI)
Nivolumab (n=135) 12.2 (9.7-15) 51 (45-56)
Docetaxel (n=137) 9.4 (8.1-10.7) 39 (33-45)
Variable Nivolumab
(n=135)
Docetaxel
(n=137)
Objective response (%) 19 12
Borghaei H, New England Journal of Medicine. 2015 Sep 27;:150927150118000–13.
Duración de la respuesta: 17.2 nivolumab, 5.6 m docetaxel
Mediana número de ciclos: 6 nivolumab, 4 docetaxel
Predictive relationship of PD-L1 expression
level for efficacy of nivolumab
Borghaei H, New England Journal of Medicine. 2015 Sep 27;:150927150118000–13.
Borghaei H, New England Journal of Medicine. 2015 Sep 27;:150927150118000–13.
OS by PD-L1 expression
CheckMate 057: Safety Profile
Treatment-Related
Adverse Events, %
Nivolumab (n = 292) Docetaxel (n = 290)
Any Grade Grade 3/4 Any Grade Grade 3/4
All events 69 10 88 54
Fatigue 16 1 29 5
Nausea 12 1 26 1
Decreased appetite 11 0 16 1
Asthenia 10 < 1 18 2
Diarrhea 8 1 23 1
Peripheral edema 3 0 10 < 1
Myalgia 2 < 1 11 0
Anemia 2 < 1 20 3
Alopecia < 1 0 25 0
Neutropenia < 1 0 31 27
Febrile neutropenia 0 0 10 10
Leukopenia 0 0 10 8
Paz-Ares L, et al. ASCO 2015. Abstract LBA109.
CheckMate 057: Select Tx-Related irAEs
Treatment-Related irAEs, %
Nivolumab (n = 292) Docetaxel (n = 290)
Any Grade Grade 3/4 Any Grade Grade 3/4
Endocrine
Hypothyroidism 7 0 0 0
Gastrointestinal
Diarrhea 8 1 23 1
Hepatic
Increased ALT
Increased AST
3
3
0
< 1
1
1
< 1
0
Pulmonary
Pneumonitis 3 1 < 1 < 1
Skin
Rash
Pruritus
Erythema
9
8
1
< 1
0
0
3
1
4
0
0
0
Hypersensitivity/infusion reaction 3 0 3 < 1
Paz-Ares L, et al. ASCO 2015. Abstract LBA109.
Vansteenkiste et al. Ann Oncol 2015; 26 (suppl 6): abstr 14LBA
Atezolizumab monotherapy vs docetaxel in 2L/3L non-small cell lung
cancer: Primary analyses for efficacy, safety and predictive biomarkers
from a randomized phase II study (POPLAR)
Atezolizumab was associated with significant improvements in OS in the ITT population
Median OS for atezolizumab was 12.6 months compared with 9.7 months for docetaxel
(HR 0.73 [95%CI 0.53, 0.99], p=0.040)
POPLAR: all patient efficacy
ITT OS (n=287)
Vansteenkiste et al. Ann Oncol 2015; 26 (suppl 6): abstr 14LBA
Subgroup (% of enrolled patients)
0.2 21
0.80
0.69
0.73
Hazard Ratio
In favor of atezolizumab In favor of docetaxel
ITT (N=287)
Squamous (34%)
Non-Squamous (66%)
Median OS (95% CI), mo
Atezolizumab Docetaxel
10.1 (6.7, 14.5) 8.6 (5.4, 11.6)
15.5 (9.8, NE) 10.9 (8.8, 13.6)
12.6 (9.7, 16.4) 9.7 (8.6, 12.0)
Vansteenkiste et al. Ann Oncol 2015; 26 (suppl 6): abstr 14LBA
POPLAR: OS by histology
• Patients with higher PD-L1 expression demonstrated improved OS with atezolizumab
• Tumour cells and tumour-infiltrating immune cells were both independent predictors of
survival improvement with atezolizumab
Vansteenkiste et al. Ann Oncol 2015; 26 (suppl 6): abstr 14LBA
TC3 or IC3 (high) TC2/3 or IC2/3
TC1/2/3 or IC1/2/3 TC0 or IC0
Besse et al. Ann Oncol 2015; 26 (suppl 6): abstr 16LBA
Phase II, single-arm trial (BIRCH) of atezolizumab as first-line or
subsequent therapy for locally advanced or metastatic PD-L1-selected
non-small cell lung cancer (NSCLC)
ORR by line of therapy
TC3 or IC3 and TC2/3 or IC2/3 subgroups
Besse et al. Ann Oncol 2015; 26 (suppl 6): abstr 16LBA
Besse et al. Ann Oncol 2015; 26 (suppl 6): abstr 16LBA
BIRCH: Overall Survival by Line of Therapy
TC2/3 or IC2/3
Subgroup Median OS, mo
(95% CI)
6-mo OS,
%
1L (Cohort 1) 14.0 (14.0, NE) 82%
2L (Cohort 2) NE (11.2, NE) 76%
3L+ (Cohort 3) NE (8.4, NE) 71%
Besse et al. Ann Oncol 2015; 26 (suppl 6): abstr 16LBA
Subgroup Median OS, mo
(95% CI)
6-mo OS,
%
1L (Cohort 1) NE (10.4, NE) 79%
2L (Cohort 2) NE (10.6, NE) 80%
3L+ (Cohort 3) NE (NE, NE) 75%
BIRCH: Overall Survival by Line of Therapy
TC3 or IC3
KEYNOTE-001: Subanalysis of Phase I
Pembrolizumab Trial in NSCLC
• Administered tumor assessment:
imaging every 9 wks
– Primary: RECIST v.1.1
(independent central review)
– Secondary: immune-related
response criteria (irRC; investigator
assessed)
• Tumor biopsy
– Tumor biopsy within 60 days prior to
first dose of pembrolizumab required
– Tumor PD-L1 expression determined
by prototype assay to inform
enrollment; Samples were
independently reanalyzed using
clinical trial IHC assay
Treatment-naive
or previously
treated
advanced
NSCLC
(N = 495)
Pembrolizumab IV
2 mg/kg q3w (n = 6)
Mandatory tumor biopsy
Pembrolizumab IV
10 mg/kg q3w (n = 287)
Pembrolizumab IV
10 mg/kg q2w (n = 202)
CR, PR, SD
PD, unacceptable
AE, or investigator
decision
Continue dosing
and assessments
every 9 wks
Off study
Garon EB. N Engl J Med. 2015 May 21;372(21):2018–28.
PD-L1 NSCLC Sample IHC Staining
Negative Weak positive
(1% to 49%)
PD-L1 = 0% positive PD-L1 = 2% positive PD-L1 = 100% positive
Strong positive
(50% to 100%)
Garon EB. N Engl J Med. 2015 May 21;372(21):2018–28.
100
80
60
40
20
0
Keynote-001: Pembrolizumab Efficacy in Overall
Population
PFS OS100
80
60
40
20
0
0 2 4 6 8 10 12 14 16 18 20 22 24 26
Mos
PFS,%
OS,%
0 4 8 12 16 20 24
Mos
28
ORR by RECIST, % (95% CI) N All Cohorts
Total 495 19.4 (16.0-23.2)
 Treatment naive 101 24.8 (16.7-34.4)
 Previously treated 394 18.0 (14.4-22.2)
 Nonsquamous 401 18.7 (15.0-22.9)
 Squamous 85 23.5 (15.0-34.0)
All patients
Previously treated
Treatment-naïve
All patients
Previously treated
Treatment-naïve
Garon EB. N Engl J Med. 2015 May 21;372(21):2018–28.
Keynote-001: Pembrolizumab Efficacy by PD-L1
Expression
PFS OS
Proportion score for 356 pts in training, validation groups with slides sectioned ≤ 6 months of staining
100
80
60
40
20
0
PFS,%
100
80
60
40
20
0
OS,%
0 2 4 6 8 10 12 14 16 18 20 22 24 26
Months
0 4 8 12 16 20 24
Months
28
PS ≥ 50% (n = 119)
PS < 1% (n = 76)
PS 1 - 49% (n = 161)
PS ≥ 50% (n = 119)
PS < 1% (n = 76)
PS 1 - 49% (n = 161)
ORR by RECIST, % (95% CI) N All Cohorts
Percent PD-L1 staining
 ≥ 50% 73 45.2 (33.5-57.3)
 1% - 49% 103 16.5 (9.9-25.1)
 < 1% 28 10.7 (2.3-28.2)
Garon EB. N Engl J Med. 2015 May 21;372(21):2018–28.
Pembro
10 mg/kg
Q3W
Nonrandomized
(N = 38)
• PD-L1+ or PD-L1–
tumors
• ≥2 previous
therapies
Randomized
(N = 280)
• PD-L1+ tumors
• ≥1 previous
therapy
Pembro
10 mg/kg
Q3W
Pembro
10 mg/kg
Q2W
R
(3:2)
Pembro
10 mg/kg
Q2W
Nonrandomized
(N = 43)
• PD-L1– tumors
• ≥1 previous
therapies
Pembro
10 mg/kg
Q3W
Nonrandomized
(N = 33)
• PD-L1+ tumors
• ≥2 previous
therapies
Pembro
2 mg/kg
Q3W
Nonrandomized
(N = 55)
• PD-L1+ tumors
• ≥1 previous
therapies
• Patients with tumors of any histology eligible
• Treatment continued until confirmed disease progression, intolerable toxicity, or other reason
• Response assessed every 9 weeks per RECIST v1.1 per central reviewa
• PD-L1 assessment1
– Enrollment: Prototype assay using the Merck 22C3 antibody
– Relationship with efficacy: Dako PD-L1 IHC 22C3 pharmDx™ Assay
aTreatment decisions were managed per irRC by investigator review.
1. Garon EB et al. N Engl J Med. 2015;372:2018-20.
Soria et al. Ann Oncol 2015; 26 (suppl 6): abstr 33LBA
Efficacy and Safety of Pembrolizumab (MK-3475) for Patients With
Previously Treated Advanced NSCLC Enrolled in KEYNOTE-001
Soria et al. Ann Oncol 2015; 26 (suppl 6): abstr 33LBA
Survival: Patients Treated at 10 mg/kg
Data cutoff date: January 23, 2015.
OS PFS
Median, mo
(95% CI)
6-mo
Rate, %
Median, mo
(95% CI)
6-mo
Rate, %
TPS ≥50% (n = 99) 15.5 (10.0-NR) 71.6 5.8 (2.1-10.3) 49.9
TPS 1%-49% (n = 127) 7.8 (5.8-12.4) 57.3 2.3 (2.1-3.4) 25.3
TPS <1% (n = 68) 8.6 (5.5-12.0) 57.1 2.1 (2.0-4.0) 23.2
Total (N = 394) 11.3 (8.8-14.0) 63.0 3.0 (2.2-4.0) 34.0
99 75 45 8 3 0
127 90 44 5 1 0
68 49 21 0 0 0
394 287 154 19 7 0
65
59
34
216
17
12
9
51
4
3
0
11
0 4 8 12 16 20 24 28 32
0
10
20
30
40
50
60
70
80
90
100
Time, months
OS,%
Soria et al. Ann Oncol 2015; 26 (suppl 6): abstr 33LBA
KEYNOTE-010: Phase II/III Pembrolizumab Trial in
NSCLC
• Primary endpoint: OS
• Secondary endpoints:
– PFS
– Safety
• Evaluations: at week 12; every 6 weeks therefore
• Subgroup of strongly PD-L1 + assessed
(>50%)
Pts with stage
IIIB/IV squamous
NSCLC and
ECOG PS 0-1 with
failure of 1
previous platinum
doublet
chemotherapy or
EGFR/ALK-
targeted agents
and PD-L1 + >1%
(N = 1034)
Pembrolizumab IV
2 mg/kg q3w (n = 6)
Pembrolizumab IV
10 mg/kg q3w (n = 287)
Docetaxel IV
75 mg/kg q3w (n = 202)
CR, PR, SD
PD, unacceptable
AE, or investigator
decision
Continue dosing
and assessments
every 9 wks
Off study
Checkpoint inhibitors in 2/3L NSCLC
POPLAR
PhII allcomer 2/3L
atezo vs. doc
(n=287)
CheckMate 017
PhIII 2L Sq nivo vs. doc
(n=272)
CheckMate 057
PhIII 2L NSq nivo vs. doc
(n=582)
KEYNOTE-001
PhIb (inc. NSCLC)
pembro
(n=394 for
previously treated)
ORR,
%
Atezo 15% vs doc 15% Nivo 20% vs doc 9% Nivo 19% vs doc 12% Pembro 18%
Notes G3–4 treatment-related
AEs: 12 vs 39%
G3–4 treatment-related
AEs: 7 vs 55%
Reduction from baseline in lung
cancer symptoms with
nivolumab
G3–4 treatment-related
AEs: 10 vs 54%
Low incidence of
immune-related AEs
Refs. Spira, et al. ASCO 2015 Spigel, et al. ASCO 2015
Reckamp, et al. WCLC 2015
Gralla, et al. WCLC 2015
Paz-Ares, et al. ASCO 2015 Garon, et al. AACR 2015
Nivo
OS
Doc
OS
Pem
OS
Pem
PFS
Atezo
OS
Nivo
PFS
Doc
PFS
Nivo
OS
Doc
OS
Nivo
PFS
Doc
PFS
Doc
OS
Atezo
PFS
Doc
PFS
HR 0.59
p=0.00025
HR 0.62
p=0.0004
HR 0.73
p=0.0015
HR 0.92
p=0.3932
HR 0.77
p=0.1071
HR 0.98
p=0.8606
Combination therapy: 1L NSCLC
PD-L1/PD-1 inhibitors are being combined with chemotherapy
and other immunotherapies in the 1L setting
GP28328
PhIb solid tumours (incl.
1L NSCLC) atezo + chemo
(n=58)
KEYNOTE-021
PhI/II 1L NSCLC
pembro + chemo
(n=49)
CheckMate 012
PhI 1L NSCLC
nivo (N) + chemo
(n=56)
CheckMate 012
PhI 1L NSCLC
nivo (N) + ipi (I)
(n=49)
Atezo +
carbo/
pac
Atezo +
carbo/
pem
Atezo +
carbo/
abrax
Pembro +
carbo/
pac
Pembro +
carbo/
pem
N10 +
gem/
cis
N10 +
pem/
cis
N10 +
carbo/
pac
N5 +
carbo/
pac
N1 q3w +
I1 q3w
N1 q2w +
I1 q6w
N3 q2w +
I1 q12w
N3 q2w +
I1 q6w
n 8* 17* 16* 25 24 12 15 15 15 31 40 38 39
ORR, %
Grade 3–4
treatment-
related AEs
69% 35% 45%
29% 35% 29% 28%
71% 54% 85% 32% 38% 25% 47% 73% 29%
50
77
56
28
58
33
47 47 43
13
25
39
31
Refs.
Camidge, et al.
WCLC 2015
Papadimitrakopoulos,
et al. ASCO 2015
Gettinger, et al.
ESMO 2014
Rizvi, et al.
WCLC 2015
Nuevos retos
• Nuevas toxicidades
• Pseudoprogresión
• Biomarcadores
Nuevas toxicidades
Summary of PD-1/PD-L1 Blockade Immune-
Mediated Toxicities
Occasional (5% to 20%)
 Fatigue
 Rash: maculopapular and
pruritus
– Topical treatments
 Diarrhea/colitis
– Initiate steroids early, taper
slowly
 Hepatitis/liver enzyme
abnormalities
 Infusion reactions
 Endocrinopathies: thyroid,
adrenal, hypophysitis
Infrequent (< 5%)
 Pneumonitis
 Grade 3/4 toxicities
uncommon
Topalian SL, et al. N Engl J Med. 2012;366:2443-2454. Patnaik A, et al. ASCO 2012. Abstract 2512.
Brahmer JR, et al. N Engl J Med. 2012;366:2455-2465. Herbst RS, et al. ASCO 2013. Abstract 3000.
Immune Adverse Events
• Onset:
– Average is 6-12 wks after initiation of therapy
– Can occur within days of the first dose, after several months of
treatment, and after discontinuation of therapy
• Pt complaints are autoimmune and drug related until
proven otherwise
– Rule out infections, metabolic causes, tumor effects, etc
• Early recognition, evaluation, and treatment are critical
Kinetics of appearance of immune-related adverse event.
Jeffrey S. Weber et al. JCO 2012;30:2691-2697
©2012 by American Society of Clinical Oncology
Pseudoprogresión
8-10-2014 19-2-2015
Will These PD-1/PD-L1 Agents End Up Being
“Untargeted Use of Targeted Therapy”?
Hansen AR, Siu LL. JAMA Oncol. 2015.
25% 46% 16-68%Cumplirían
criterios
McLaughlin J. JAMA Oncol. 2015 Nov 12;:1–9.
N=49
McLaughlin J, Han G, Schalper KA, Carvajal-Hausdorf D, Pelakanou V, Rehman J, et al.
Quantitative Assessment of the Heterogeneity of PD-L1 Expression in Non–Small-Cell Lung
Cancer. JAMA Oncol. 2015 Nov 12;:1–9.
N=160
PD-L1: TC and IC
Overall discordance
rate:
48%
Ilie M, Ann Oncol. 2015 Oct 19;:mdv489–7.
En todos los casos
discordantes la
biopsia infravaloró el
resultado del
especimen quirúrgico,
fundamentalmente
en células inmunes
Eficacia y seguridad
Grado de innovación del fármaco
Necesidad no cubierta
Severidad de la enfermedad
Biomarcador eficiente y seguro
Coste
Para concluir…
Inmunoterapia en cáncer de pulmón:
funciona
Cambio de estándar en segunda línea?
Futuro: combinaciones
Múltiples checkpoints
Radioterapia
Quimioterapia
Necesitamos biomarcadores
Anti-PD1 vs Anti-PDL1??
Mecanismos de resistencia

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2015 11 Inmunoterapia en nsclc

  • 1.
  • 2. Coley, Am J Med Sci 1893;105:487-510
  • 3. ILC, innate lymphoid cell; NK, natural killer. Abbas AK et al. Cellular and Molecular Immunology. 8th ed. Philadelphia, PA: Elsevier Saunders; 2015. Tipos de respuesta inmune: innata y adquirida
  • 4. Abbas AK et al. Cellular and Molecular Immunology. 8th ed. Philadelphia, PA: Elsevier Saunders; 2015.
  • 5. AIS: Lymph, APCs and Effector cells Antigen Recognition Effector Functions B lymphocyte Helper T lymphocyte Cytotoxic T lymphocyte (CTL) Regulatory T lymphocyte Microbe Neutralization of microbe, phagocytosis, complement activation Activation of macrophages Inflammation T and B lymphocyte proliferation/ differentiation Killing of infected cells Suppression of other lymphocytes Antibody Cytokines Microbial antigen presented by antigen- presented cell Infected cell expressing microbial antigen Abbas AK et al. Cellular and Molecular Immunology. 8th ed. Philadelphia, PA: Elsevier Saunders; 2015.
  • 6. Clinical observations and animal experiments have established that although tumour cells are derived from host cells, they elicit immune responses [because they have tumor Ags] Immuno-Oncology: The Rationale Tumor Microenvironment Abbas AK et al. Cellular and Molecular Immunology. 8th ed. Philadelphia, PA: Elsevier Saunders; 2015.
  • 7. Estudio años 50 Abbas AK et al. Cellular and Molecular Immunology. 8th ed. Philadelphia, PA: Elsevier Saunders; 2015.
  • 8. • The immune system can identify and eliminate tumor cells based on their expression of tumor-specific antigens1- 3 • An ideal cancer antigen:1 – Specifically and stably expressed by the tumour – Absent from normal tissues – Crucial for survival of cancer cell Tumour Antigens 1. Simpson AJ et al. Nat Rev Cancer. 2005;5(8):618-625. 2. 2. Cabellero OL, Chen Y-T. Cancer Sci. 2009; 100(11):2014-2021. Tumor cell Tumor antigen Microbial proteins/ mutated proteins/ fusion proteins
  • 9. Tipo de antígeno Ejemplos Productos de oncogenes mutados y de genes supresores tumorales Productos de oncogenes: mutaciones Ras (10% de los carcinomas), p210 (producto de reordenamiento bcr/abl) Productos de genes supresores: p53 mutado (en el 50% de los tumores) Productos de oncogenes no mutados pero sobreexpresados HER2neu (mama, otros) Formas mutadas de genes celulares no involucradas en tumorogénesis Varias proteínas mutadas en melanoma reconocidas por liinfocíticos T citotóxicos Productos de genes que son silentes en tejidos normales Antígenos de cáncer /testículo expresados en melanoma y muchos carcinomas; normalmente expresados en testículos y placenta Antígenos tumorales
  • 10. Tipo de antígeno Ejemplos Proteínas no-oncogénicas normales sobreexpresadas en células tumorales Tirosinasa, gp100, MART en melanomas (normalmente expresados en melanocitos) Productos de virus oncogénicos Proteínas del papilomavirus E6 y E7 (carcinoma cervical) Proteína EBNA-1 del EBV (linfomas, carcinoma nasofaríngeo) Antígenos oncofetales CEA; AFP Glicolípidos y glicoproteínas GM2; GD2 en melanomas Antígenos de diferenciación normalmente presentes en tejido de origen PSA en carcinoma de próstata CD20 en linfomas B Antígenos tumorales
  • 11. Tumour Immunity: Immune Surveillance Chen DS, Mellman I. Immunity 2013; 39:1-10.
  • 12. Tumour Immunity: Immune Surveillance Chen DS, Mellman I. Immunity 2013; 39:1-10.
  • 13. Inmunoedición Dorff TB. Ther Adv Med Oncol. 2009 Nov;1(3):183–205.
  • 14. Los tumores pueden evadir el sistema inmune Mechanisms of Tumor Immune Escape Specialized tumour mechanisms for evading host immune responses Poor immunogenicity of tumour Rapid growth and spread may overwhelm the capacity of the immune system to effectively control the tumour Razones potenciales por las que la respuesta antitumoral es incapaz de erradicar las células transformadas Tumor Microenvironment Abbas AK et al. Cellular and Molecular Immunology. 8th ed. Philadelphia, PA: Elsevier Saunders; 2015.
  • 15. Los tumores usan mecanismos complejos para evadir y suprimir el sistema inmune 1. Drake CG et al. Adv Immunol. 2006;90:51-81. 2. 2. Vesely MD et al. Annu Rev Immunol. 2011;29:235-271. Inhibition of tumour antigen presentation eg, down-regulation of MHC I 1APC
  • 16. Los tumores usan mecanismos complejos para evadir y suprimir el sistema inmune 1. Drake CG et al. Adv Immunol. 2006;90:51-81. 2. 2. Vesely MD et al. Annu Rev Immunol. 2011;29:235-271. Inhibition of tumour antigen presentation eg, down-regulation of MHC I 1APC Secretion of immunosuppressive factors eg, TGF-β 2 Tumour cell
  • 17. Los tumores usan mecanismos complejos para evadir y suprimir el sistema inmune 1. Drake CG et al. Adv Immunol. 2006;90:51-81. 2. 2. Vesely MD et al. Annu Rev Immunol. 2011;29:235-271. Inhibition of tumour antigen presentation eg, down-regulation of MHC I 1APC Secretion of immunosuppressive factors eg, TGF-β 2 Tumour cell Inhibition of attack by immune cells eg, disruption of T-cell checkpoint pathways 3 Inactive T cell
  • 18. Los tumores usan mecanismos complejos para evadir y suprimir el sistema inmune 1. Drake CG et al. Adv Immunol. 2006;90:51-81. 2. 2. Vesely MD et al. Annu Rev Immunol. 2011;29:235-271. Inhibition of tumour antigen presentation eg, down-regulation of MHC I 1APC Secretion of immunosuppressive factors eg, TGF-β 2 Tumour cell Inhibition of attack by immune cells eg, disruption of T-cell checkpoint pathways 3 Inactive T cell Recruitment of immunosuppressive cell types eg, Treg 4
  • 19. Los tumores usan mecanismos complejos para evadir y suprimir el sistema inmune 1. Drake CG et al. Adv Immunol. 2006;90:51-81. 2. 2. Vesely MD et al. Annu Rev Immunol. 2011;29:235-271. Inhibition of tumour antigen presentation eg, down-regulation of MHC I 1APC Secretion of immunosuppressive factors eg, TGF-β 2 Tumour cell Inhibition of attack by immune cells eg, disruption of T-cell checkpoint pathways 3 Inactive T cell Recruitment of immunosuppressive cell types eg, Treg 4
  • 20. T-Cell Activation: Priming Two signals in a T-cell response govern whether the cell will be activated or inhibited1 – The primary signal takes place when antigens are presented through the major histocompatibility complex to the T-cell receptor2 – The secondary signal may be a co-stimulatory or a co-inhibitory signal, which will lead to T-cell activation or T-cell inhibition, respectively1,2 1. Pardoll DM. Nat Rev Cancer. 2012;12(4):252-264. 2. Weber J. Semin Oncol. 2010;37(5):430-439. T cell APC Primary Signal MHC TCR T cell APC Secondary Signal MHC TCR 1 1 2
  • 21. T-Cell Regulation: Checkpoint Pathways Activation of T cells depends on the balance of the co-stimulatory and co- inhibitory signals, which are also known as checkpoint pathways1,2 Activates T cell T cell APC Co-stimulatory signal MHC TCR Co- stimulatory 1 2 Inhibits T cell T cell APC Co-inhibitory signal MHC TCR Co- inhibitory 1 2 1. Pardoll DM. Nat Rev Cancer. 2012;12(4):252-264. 2. Weber J. Semin Oncol. 2010;37(5):430-439.
  • 22. Checkpoint Pathways Pardoll DM. Nat Rev Cancer. 2012;12(4):252-264. APC/ Tumor T cell B7-DC(PD-L2) CD40 CD40L CD137 OX40 CD137L OX40L MHC CD28B7-2 (CD86) TCR Activation Inhibition Inhibition Inhibition Activation Activation Activation Inhibition The number of molecules regulating T- cell activation is high and the system is very complex The expression of certain molecules and their interaction with receptors in the T cell cause either activation or inhibition of the T cell Adapted from Pardoll, 2012. “Brakes” to the immune reaction PD-1 B7-1 (CD80) B7-H1(PD-L1) LAG-3 B7-1 (CD80) CTLA-4
  • 23. Chen DS, Mellman I. Immunity 2013; 39:1-10.
  • 24. De la teoría a la práctica Tumor MicroenvironmentLymph Node CTLA-4, cytotoxic T-lymphocyte antigen-4; PD-1, programmed death-1. Pardoll DM. Nat Rev Cancer. 2012;12(4):252-264. CTLA-4 pathway PD-1 pathway CTLA-4B7-1 (CD80 PD-1 PD-L1 (B7-H1)MHC TCR MHC TCR
  • 25. Over the last several years, multiple compounds targeting CTLA-4 or PD-1/PD-L1 have been developed: PD-1: • Nivolumab [BMS] • Pembrolizumab [MSD] • Pidilizumab [Medivation] • AMP-514 [MedImmune/Amplimmune] • AMP-224 [MedImmune/Amplimmune] • PDR001 [Novartis] PD-L1: • Atezolizumab/MPDL3280A [Roche/Genentech] • BMS-936559 [BMS] • Durvalumab/MEDI4736 [MedImmune/AZ] • Avelumab/MSB0010718C [EMD Serono/Merck KGaA/Pfizer] Targeting the CTLA-4 and PD-1 Checkpoint Pathways CTLA-4: • Ipilimumab [BMS] • Tremelimumab [MedImmune/AZ]
  • 26. ¿Por qué el cáncer de pulmón? Figure: Somatic mutation frequencies observed in exomes from 3,083 tumor-normal pairs Lawrence et al; Nature 499, 214–218 (11 July 2013) Lung tumors along with other malignancies such as bladder and melanoma display a high number of somatic mutations rendering these tumors more immunogenic
  • 27. Mayor M, European Journal of Cardio-Thoracic Surgery. 2015 Oct 29;:ezv371–10.
  • 28. Ellis LM. J Clin Oncol; 2014 Apr 20;32(12):1277–80. Summary of recommended targets for meaningful clinical trials goals: Lung Cancer Primary End Point Secondary End Point Current baseline median OS(m) Improvement over current OS that would be clinically meaningful (months) Targets HR Improvement in 1-year survival rate (%) Improvement in PFS (months) Lung cancer Non-squamous 13 3.25-4 0.76-0.8 53 61 4 Lung cancer Squamous 10 2.5-3 0.77-0.8 44 63 3
  • 29. Agent Immunoth. approach Study design Population Results SRL172 O’Brien Ann Oncol 2014 Nonspecific vaccine (killed Mycob) Open label: CT + SLR172 (phase III) Stage III/IV unresectable NSCLC Primary OS endpoint not met Tecemotide Butts Lancet Oncol 2014 Tumor-specific MUC1 vaccine START: Tecemotide vs placebo (phase III) Stage III after CT-RDT Primary OS endpoint not met MAGE-3 Vanteenkiste ESMO 2014 Tumor specific MAGE-3 vaccine MAGRIT: MAGE- vs placebo Stage IB-IIIA resected MAGE- 3 positive Primary DFS endpoint not met GVAX Nemunaitis Cancer Gen Ther 2006 Autologous tumor cell vaccine GVAX alone (phase I/II) Advanced NSCLC No responses Failed Immunotherapies tested in NSCLC
  • 30. Agent Immunoth. approach Study design Population Results Belagenpumatucel-L Giaconne ECCO 2014 TGF-b- blocking allogenic tumor cell vaccine STOP: maintenance vs placebo (phase III) Stage III/IV NSCLC; no disease progressión after frontline therapy Primary OS endpoint not met; predefined subgroups benefit Talactoferrin Nemunaitis Ann Oncol 2013 Dendritic cell activation FORTIS-M: talactoferrine vs placebo (phase III) Stage III/IV NSCLC refractory to 2 or more therapies Primary OS endpoint not met CPG 7909 Manegold Ann Oncol 2012 Dendritic cell activation Chemotherapy + CPG 7909 (phase III) Stage III/IV NSCLC naïve to chemotherapy Primary OS endpoint not met Failed Immunotherapies tested in NSCLC
  • 31. CTLA-4 = cytotoxic T-lymphocyte-associated protein 4 PD-1 = programmed death 1; PD-L1 = programmed death ligand 1 Please note that atezolizumab has not received regulatory approval in any country yet 1. Mellman, et al. Nature 2011 2. Chen & Mellman. Immunity 2013 7 Killing of cancer cells (immune and cancer cells) Anti-CTLA-4 CTLA-4 is a major negative regulator of T cell activationand inhibition of CTLA-4 can enhance T cell stimulation, resulting in more potent anti-tumour responses1 Ipilimumab Tremelimumab Anti-PDL1/PD1 PD-L1 expression on tumour cells and tumour-infiltrating immune cells can inhibit T cell activity via its receptor PD-1, dampening the anti-tumour immune response. Inhibition of PD-L1 or its receptor PD-1 may restore T cell effector function2 Atezolizumab (anti-PDL1) Durvalumab (anti-PDL1) Nivolumab (anti-PD1) Pembrolizumab (anti-PD1) CD28 OX40 GITR CD137 CD27 HVEM CTLA-4 PD-1 TIM-3 BTLA VISTA LAG-3 T cell targets for modulating activity Activating Receptors Inhibitory Receptors T cell stimulation Agonistic Antibodies Blocking Antibodies T cell
  • 32. Pennell NA. Understanding the Rationale for Immunotherapy in Non-Small Cell Lung Cancer. Seminars in Oncology. 2015 Oct;42 Suppl 2:S3–S10.
  • 33. Chemoterapy- naïve stage IIIB/IV NSCLC (n=204) R A N D O M I Z E Concurrent ipilimumab + P/C (n=70) Phased ipilimumab + P/C (n=68) Placebo+ P/C (n=66) Ipilimumab q 12 weeks Ipilimumab q 12 weeks Placebo q 12 weeks 1:1:1 - P/C: 175 mg/m2 paclitaxel + AUC=6 carboplatin q 3 weeks x 6 doses - Concurrent ipilimumab: 10 mg/kg q 3 weeks x 4 doses - Phased ipilimumab: placebo q 3 weeks x 2 doses followed by IPI q 3 weeks x 4 doses - Primary endpoint: inmune-related PFS (irPFS) Lynch. Journal of Clinical Oncology. 2012 Jun 8;30(17):2046–54.
  • 34. Lynch. Journal of Clinical Oncology. 2012 Jun 8;30(17):2046–54. Phased ipilimumab regimen improved WHOPFS in patients with squamous histology: HR: 0.40 (95% CI, 0.18-0.87)
  • 35. Zielinski; Ann Oncol 2013,24(5):1170-1179
  • 36. Pennell NA. Understanding the Rationale for Immunotherapy in Non-Small Cell Lung Cancer. Seminars in Oncology. 2015 Oct;42 Suppl 2:S3–S10.
  • 37. Gettinger SN. J Clin Oncol; 2015 Jun 20;33(18):2004–12. NIVOLUMAB: phase I dose-escalation cohort expansion trial N=129 RR:17%
  • 38. CheckMate 017: Nivolumab vs Docetaxel in Previously Treated Squamous NSCLC Open-label, randomized phase III trial Primary endpoint: OS Secondary endpoints: ORR, PFS, efficacy by PD-L1 expression, safety, QoL Pts with stage IIIB/IV squamous NSCLC and ECOG PS 0-1 with failure of 1 previous platinum doublet chemotherapy (N = 272) Nivolumab 3 mg/kg IV q2w (n = 135) Docetaxel 75 mg/m2 IV q3w (n = 137) Until disease progression or unacceptable toxicity Stratified by previous paclitaxel therapy (yes vs no) and region Spigel DR, et al. ASCO 2015. Abstract 8009. Brahmer J, et al. N Engl J Med. 2015;[Epub ahead of print].
  • 39. CheckMate 017: Baseline Characteristics Characteristic Nivolumab (n = 135) Docetaxel (n = 137) Median age, yrs (range) 62 (39-85) 64 (42-84) Male, % 82 71 Current/former smoker, % 90 94 ECOG PS 1, % 79 73 Stage IV disease,* % 78 82 CNS metastasis, % 7 6 Prior paclitaxel, % 34 34 PD-L1 expression,† %  ≥ 1%  ≥ 5%  ≥ 10%  Not quantifiable 47 31 27 13 41 29 24 21 *Stage not reported in 1 pt in the nivolumab and 1 pt in the docetaxel groups. †83% of pts had quantifiable PD-L1 expression. PD-L1 expression measured in pre-treatment tumor biopsies with validated, automated immunohistochemical assay using PD-L1 antibody clone 28–8. Spigel DR, et al. ASCO 2015. Abstract 8009. Brahmer J, et al. N Engl J Med. 2015;[Epub ahead of print].
  • 40. CheckMate 017: OS in the ITT Population Spigel DR, et al. ASCO 2015. Abstract 8009. Brahmer J, et al. N Engl J Med. 2015;[Epub ahead of print]. 0 3 6 9 12 15 18 21 24 100 80 60 40 20 0 OverallSurvival (%ofPatients) MosAt Risk, n Nivolumab Docetaxel 135 137 113 103 86 68 69 45 52 30 31 14 15 7 7 2 0 0 HR for death, 0.59 (0.44-0.79) P < .001 Nivolumab Docetaxel Median OS Months (95%CI) 1-yr OS % of patients (95%CI) Nivolumab (n=135) 9.2 (7.3-13.3) 42 (34-50) Docetaxel (n=137) 6.0 (5.1-7.3) 24 (17-31)
  • 41. Brahmer, J. NEJM 2015;373:123-35 Variable Nivolumab (n=135) Docetaxel (n=137) Objective response (%) 20 9 Odds ratio (95% CI) 2.6 (1.3-5.5) p value 0.008
  • 42. Brahmer, J. NEJM 2015;373:123-35 Duración de la respuesta: NR nivolumab, 8.4 m docetaxel Mediana número de ciclos: 8 nivolumab, 3 docetaxel
  • 43. Brahmer, J. NEJM 2015;373:123-35
  • 44. CheckMate 017: Tx-Related Aes Treatment-Related AEs ≥ 10%, % Nivolumab (n = 131) Docetaxel (n = 129) Any Grade Grade 3/4 Any Grade Grade 3/4 All events 58 7 86 55 Leading to discontinuation 3 2 10 7 Fatigue 16 1 33 8 Decreased appetite 11 1 19 1 Asthenia 10 0 14 4 Nausea 9 0 23 2 Diarrhea 8 0 20 2 Vomiting 3 0 11 1 Myalgia 2 0 10 0 Anemia 2 0 22 3 Peripheral neuropathy 1 0 12 2 Neutropenia 1 0 33 30 Febrile neutropenia 0 0 11 10 Alopecia 0 0 22 1 Spigel DR, et al. ASCO 2015. Abstract 8009. Brahmer J, et al. N Engl J Med. 2015; [Epub ahead of print].
  • 45. CheckMate 017: Select Tx-Related irAEs Treatment-Related irAEs, % Nivolumab (n = 131) Docetaxel (n = 129) Any Grade Grade 3/4 Any Grade Grade 3/4 Endocrine  Hypothyroidism 4 4 0 0 0 0 0 0 Gastrointestinal  Diarrhea  Colitis 8 8 1 1 0 1 20 20 0 2 2 0 Hepatic  ALT increase  AST increase 2 2 2 0 0 0 2 1 1 1 1 1 Pulmonary  Pneumonitis  Lung infiltration  Interstitial lung disease 5 5 1 0 1 1 0 0 1 0 0 1 0 0 0 0 Renal  Blood creatinine increase  Tubulointestinal nephritis 3 3 1 1 0 1 2 2 0 0 0 0 Skin 9 0 9 2 Hypersensitivity/infusion reaction 1 0 2 1 Spigel DR, et al. ASCO 2015. Abstract 8009. Brahmer J, et al. N Engl J Med. 2015; [Epub ahead of print].
  • 46. CheckMate 057: Nivolumab vs Docetaxel in Previously Treated Non-Squamous NSCLC Open-label, randomized phase III trial Primary endpoint: OS Secondary endpoints: ORR, PFS, efficacy by PD-L1 expression, safety, QoL Pts with stage IIIB/IV squamous NSCLC and ECOG PS 0-1 with failure of 1 previous platinum doublet chemotherapy (N = 582) Nivolumab 3 mg/kg IV q2w (n = 292) Docetaxel 75 mg/m2 IV q3w (n = 290) Until disease progression or unacceptable toxicity Borghaei H, Paz-Ares L, Horn L, Spigel DR, Steins M, Ready NE, et al. Nivolumab versus Docetaxel in Advanced Nonsquamous Non–Small-Cell Lung Cancer. New England Journal of Medicine. 2015 Sep 27;:150927150118000–13.
  • 47. Borghaei H, New England Journal of Medicine. 2015 Sep 27;:150927150118000–13. HR= 0.73 (96% CI, 0.59-0.89) P=.0002 Median OS Months (95%CI) 1-yr OS % of patients (95%CI) Nivolumab (n=135) 12.2 (9.7-15) 51 (45-56) Docetaxel (n=137) 9.4 (8.1-10.7) 39 (33-45)
  • 48. Variable Nivolumab (n=135) Docetaxel (n=137) Objective response (%) 19 12 Borghaei H, New England Journal of Medicine. 2015 Sep 27;:150927150118000–13. Duración de la respuesta: 17.2 nivolumab, 5.6 m docetaxel Mediana número de ciclos: 6 nivolumab, 4 docetaxel
  • 49. Predictive relationship of PD-L1 expression level for efficacy of nivolumab Borghaei H, New England Journal of Medicine. 2015 Sep 27;:150927150118000–13.
  • 50. Borghaei H, New England Journal of Medicine. 2015 Sep 27;:150927150118000–13. OS by PD-L1 expression
  • 51. CheckMate 057: Safety Profile Treatment-Related Adverse Events, % Nivolumab (n = 292) Docetaxel (n = 290) Any Grade Grade 3/4 Any Grade Grade 3/4 All events 69 10 88 54 Fatigue 16 1 29 5 Nausea 12 1 26 1 Decreased appetite 11 0 16 1 Asthenia 10 < 1 18 2 Diarrhea 8 1 23 1 Peripheral edema 3 0 10 < 1 Myalgia 2 < 1 11 0 Anemia 2 < 1 20 3 Alopecia < 1 0 25 0 Neutropenia < 1 0 31 27 Febrile neutropenia 0 0 10 10 Leukopenia 0 0 10 8 Paz-Ares L, et al. ASCO 2015. Abstract LBA109.
  • 52. CheckMate 057: Select Tx-Related irAEs Treatment-Related irAEs, % Nivolumab (n = 292) Docetaxel (n = 290) Any Grade Grade 3/4 Any Grade Grade 3/4 Endocrine Hypothyroidism 7 0 0 0 Gastrointestinal Diarrhea 8 1 23 1 Hepatic Increased ALT Increased AST 3 3 0 < 1 1 1 < 1 0 Pulmonary Pneumonitis 3 1 < 1 < 1 Skin Rash Pruritus Erythema 9 8 1 < 1 0 0 3 1 4 0 0 0 Hypersensitivity/infusion reaction 3 0 3 < 1 Paz-Ares L, et al. ASCO 2015. Abstract LBA109.
  • 53. Vansteenkiste et al. Ann Oncol 2015; 26 (suppl 6): abstr 14LBA Atezolizumab monotherapy vs docetaxel in 2L/3L non-small cell lung cancer: Primary analyses for efficacy, safety and predictive biomarkers from a randomized phase II study (POPLAR)
  • 54. Atezolizumab was associated with significant improvements in OS in the ITT population Median OS for atezolizumab was 12.6 months compared with 9.7 months for docetaxel (HR 0.73 [95%CI 0.53, 0.99], p=0.040) POPLAR: all patient efficacy ITT OS (n=287) Vansteenkiste et al. Ann Oncol 2015; 26 (suppl 6): abstr 14LBA
  • 55. Subgroup (% of enrolled patients) 0.2 21 0.80 0.69 0.73 Hazard Ratio In favor of atezolizumab In favor of docetaxel ITT (N=287) Squamous (34%) Non-Squamous (66%) Median OS (95% CI), mo Atezolizumab Docetaxel 10.1 (6.7, 14.5) 8.6 (5.4, 11.6) 15.5 (9.8, NE) 10.9 (8.8, 13.6) 12.6 (9.7, 16.4) 9.7 (8.6, 12.0) Vansteenkiste et al. Ann Oncol 2015; 26 (suppl 6): abstr 14LBA POPLAR: OS by histology
  • 56. • Patients with higher PD-L1 expression demonstrated improved OS with atezolizumab • Tumour cells and tumour-infiltrating immune cells were both independent predictors of survival improvement with atezolizumab Vansteenkiste et al. Ann Oncol 2015; 26 (suppl 6): abstr 14LBA TC3 or IC3 (high) TC2/3 or IC2/3 TC1/2/3 or IC1/2/3 TC0 or IC0
  • 57. Besse et al. Ann Oncol 2015; 26 (suppl 6): abstr 16LBA Phase II, single-arm trial (BIRCH) of atezolizumab as first-line or subsequent therapy for locally advanced or metastatic PD-L1-selected non-small cell lung cancer (NSCLC)
  • 58. ORR by line of therapy TC3 or IC3 and TC2/3 or IC2/3 subgroups Besse et al. Ann Oncol 2015; 26 (suppl 6): abstr 16LBA
  • 59. Besse et al. Ann Oncol 2015; 26 (suppl 6): abstr 16LBA BIRCH: Overall Survival by Line of Therapy TC2/3 or IC2/3 Subgroup Median OS, mo (95% CI) 6-mo OS, % 1L (Cohort 1) 14.0 (14.0, NE) 82% 2L (Cohort 2) NE (11.2, NE) 76% 3L+ (Cohort 3) NE (8.4, NE) 71%
  • 60. Besse et al. Ann Oncol 2015; 26 (suppl 6): abstr 16LBA Subgroup Median OS, mo (95% CI) 6-mo OS, % 1L (Cohort 1) NE (10.4, NE) 79% 2L (Cohort 2) NE (10.6, NE) 80% 3L+ (Cohort 3) NE (NE, NE) 75% BIRCH: Overall Survival by Line of Therapy TC3 or IC3
  • 61. KEYNOTE-001: Subanalysis of Phase I Pembrolizumab Trial in NSCLC • Administered tumor assessment: imaging every 9 wks – Primary: RECIST v.1.1 (independent central review) – Secondary: immune-related response criteria (irRC; investigator assessed) • Tumor biopsy – Tumor biopsy within 60 days prior to first dose of pembrolizumab required – Tumor PD-L1 expression determined by prototype assay to inform enrollment; Samples were independently reanalyzed using clinical trial IHC assay Treatment-naive or previously treated advanced NSCLC (N = 495) Pembrolizumab IV 2 mg/kg q3w (n = 6) Mandatory tumor biopsy Pembrolizumab IV 10 mg/kg q3w (n = 287) Pembrolizumab IV 10 mg/kg q2w (n = 202) CR, PR, SD PD, unacceptable AE, or investigator decision Continue dosing and assessments every 9 wks Off study Garon EB. N Engl J Med. 2015 May 21;372(21):2018–28.
  • 62. PD-L1 NSCLC Sample IHC Staining Negative Weak positive (1% to 49%) PD-L1 = 0% positive PD-L1 = 2% positive PD-L1 = 100% positive Strong positive (50% to 100%) Garon EB. N Engl J Med. 2015 May 21;372(21):2018–28.
  • 63. 100 80 60 40 20 0 Keynote-001: Pembrolizumab Efficacy in Overall Population PFS OS100 80 60 40 20 0 0 2 4 6 8 10 12 14 16 18 20 22 24 26 Mos PFS,% OS,% 0 4 8 12 16 20 24 Mos 28 ORR by RECIST, % (95% CI) N All Cohorts Total 495 19.4 (16.0-23.2)  Treatment naive 101 24.8 (16.7-34.4)  Previously treated 394 18.0 (14.4-22.2)  Nonsquamous 401 18.7 (15.0-22.9)  Squamous 85 23.5 (15.0-34.0) All patients Previously treated Treatment-naïve All patients Previously treated Treatment-naïve Garon EB. N Engl J Med. 2015 May 21;372(21):2018–28.
  • 64. Keynote-001: Pembrolizumab Efficacy by PD-L1 Expression PFS OS Proportion score for 356 pts in training, validation groups with slides sectioned ≤ 6 months of staining 100 80 60 40 20 0 PFS,% 100 80 60 40 20 0 OS,% 0 2 4 6 8 10 12 14 16 18 20 22 24 26 Months 0 4 8 12 16 20 24 Months 28 PS ≥ 50% (n = 119) PS < 1% (n = 76) PS 1 - 49% (n = 161) PS ≥ 50% (n = 119) PS < 1% (n = 76) PS 1 - 49% (n = 161) ORR by RECIST, % (95% CI) N All Cohorts Percent PD-L1 staining  ≥ 50% 73 45.2 (33.5-57.3)  1% - 49% 103 16.5 (9.9-25.1)  < 1% 28 10.7 (2.3-28.2) Garon EB. N Engl J Med. 2015 May 21;372(21):2018–28.
  • 65. Pembro 10 mg/kg Q3W Nonrandomized (N = 38) • PD-L1+ or PD-L1– tumors • ≥2 previous therapies Randomized (N = 280) • PD-L1+ tumors • ≥1 previous therapy Pembro 10 mg/kg Q3W Pembro 10 mg/kg Q2W R (3:2) Pembro 10 mg/kg Q2W Nonrandomized (N = 43) • PD-L1– tumors • ≥1 previous therapies Pembro 10 mg/kg Q3W Nonrandomized (N = 33) • PD-L1+ tumors • ≥2 previous therapies Pembro 2 mg/kg Q3W Nonrandomized (N = 55) • PD-L1+ tumors • ≥1 previous therapies • Patients with tumors of any histology eligible • Treatment continued until confirmed disease progression, intolerable toxicity, or other reason • Response assessed every 9 weeks per RECIST v1.1 per central reviewa • PD-L1 assessment1 – Enrollment: Prototype assay using the Merck 22C3 antibody – Relationship with efficacy: Dako PD-L1 IHC 22C3 pharmDx™ Assay aTreatment decisions were managed per irRC by investigator review. 1. Garon EB et al. N Engl J Med. 2015;372:2018-20. Soria et al. Ann Oncol 2015; 26 (suppl 6): abstr 33LBA Efficacy and Safety of Pembrolizumab (MK-3475) for Patients With Previously Treated Advanced NSCLC Enrolled in KEYNOTE-001
  • 66. Soria et al. Ann Oncol 2015; 26 (suppl 6): abstr 33LBA
  • 67. Survival: Patients Treated at 10 mg/kg Data cutoff date: January 23, 2015. OS PFS Median, mo (95% CI) 6-mo Rate, % Median, mo (95% CI) 6-mo Rate, % TPS ≥50% (n = 99) 15.5 (10.0-NR) 71.6 5.8 (2.1-10.3) 49.9 TPS 1%-49% (n = 127) 7.8 (5.8-12.4) 57.3 2.3 (2.1-3.4) 25.3 TPS <1% (n = 68) 8.6 (5.5-12.0) 57.1 2.1 (2.0-4.0) 23.2 Total (N = 394) 11.3 (8.8-14.0) 63.0 3.0 (2.2-4.0) 34.0 99 75 45 8 3 0 127 90 44 5 1 0 68 49 21 0 0 0 394 287 154 19 7 0 65 59 34 216 17 12 9 51 4 3 0 11 0 4 8 12 16 20 24 28 32 0 10 20 30 40 50 60 70 80 90 100 Time, months OS,% Soria et al. Ann Oncol 2015; 26 (suppl 6): abstr 33LBA
  • 68. KEYNOTE-010: Phase II/III Pembrolizumab Trial in NSCLC • Primary endpoint: OS • Secondary endpoints: – PFS – Safety • Evaluations: at week 12; every 6 weeks therefore • Subgroup of strongly PD-L1 + assessed (>50%) Pts with stage IIIB/IV squamous NSCLC and ECOG PS 0-1 with failure of 1 previous platinum doublet chemotherapy or EGFR/ALK- targeted agents and PD-L1 + >1% (N = 1034) Pembrolizumab IV 2 mg/kg q3w (n = 6) Pembrolizumab IV 10 mg/kg q3w (n = 287) Docetaxel IV 75 mg/kg q3w (n = 202) CR, PR, SD PD, unacceptable AE, or investigator decision Continue dosing and assessments every 9 wks Off study
  • 69. Checkpoint inhibitors in 2/3L NSCLC POPLAR PhII allcomer 2/3L atezo vs. doc (n=287) CheckMate 017 PhIII 2L Sq nivo vs. doc (n=272) CheckMate 057 PhIII 2L NSq nivo vs. doc (n=582) KEYNOTE-001 PhIb (inc. NSCLC) pembro (n=394 for previously treated) ORR, % Atezo 15% vs doc 15% Nivo 20% vs doc 9% Nivo 19% vs doc 12% Pembro 18% Notes G3–4 treatment-related AEs: 12 vs 39% G3–4 treatment-related AEs: 7 vs 55% Reduction from baseline in lung cancer symptoms with nivolumab G3–4 treatment-related AEs: 10 vs 54% Low incidence of immune-related AEs Refs. Spira, et al. ASCO 2015 Spigel, et al. ASCO 2015 Reckamp, et al. WCLC 2015 Gralla, et al. WCLC 2015 Paz-Ares, et al. ASCO 2015 Garon, et al. AACR 2015 Nivo OS Doc OS Pem OS Pem PFS Atezo OS Nivo PFS Doc PFS Nivo OS Doc OS Nivo PFS Doc PFS Doc OS Atezo PFS Doc PFS HR 0.59 p=0.00025 HR 0.62 p=0.0004 HR 0.73 p=0.0015 HR 0.92 p=0.3932 HR 0.77 p=0.1071 HR 0.98 p=0.8606
  • 70. Combination therapy: 1L NSCLC PD-L1/PD-1 inhibitors are being combined with chemotherapy and other immunotherapies in the 1L setting GP28328 PhIb solid tumours (incl. 1L NSCLC) atezo + chemo (n=58) KEYNOTE-021 PhI/II 1L NSCLC pembro + chemo (n=49) CheckMate 012 PhI 1L NSCLC nivo (N) + chemo (n=56) CheckMate 012 PhI 1L NSCLC nivo (N) + ipi (I) (n=49) Atezo + carbo/ pac Atezo + carbo/ pem Atezo + carbo/ abrax Pembro + carbo/ pac Pembro + carbo/ pem N10 + gem/ cis N10 + pem/ cis N10 + carbo/ pac N5 + carbo/ pac N1 q3w + I1 q3w N1 q2w + I1 q6w N3 q2w + I1 q12w N3 q2w + I1 q6w n 8* 17* 16* 25 24 12 15 15 15 31 40 38 39 ORR, % Grade 3–4 treatment- related AEs 69% 35% 45% 29% 35% 29% 28% 71% 54% 85% 32% 38% 25% 47% 73% 29% 50 77 56 28 58 33 47 47 43 13 25 39 31 Refs. Camidge, et al. WCLC 2015 Papadimitrakopoulos, et al. ASCO 2015 Gettinger, et al. ESMO 2014 Rizvi, et al. WCLC 2015
  • 71. Nuevos retos • Nuevas toxicidades • Pseudoprogresión • Biomarcadores
  • 73. Summary of PD-1/PD-L1 Blockade Immune- Mediated Toxicities Occasional (5% to 20%)  Fatigue  Rash: maculopapular and pruritus – Topical treatments  Diarrhea/colitis – Initiate steroids early, taper slowly  Hepatitis/liver enzyme abnormalities  Infusion reactions  Endocrinopathies: thyroid, adrenal, hypophysitis Infrequent (< 5%)  Pneumonitis  Grade 3/4 toxicities uncommon Topalian SL, et al. N Engl J Med. 2012;366:2443-2454. Patnaik A, et al. ASCO 2012. Abstract 2512. Brahmer JR, et al. N Engl J Med. 2012;366:2455-2465. Herbst RS, et al. ASCO 2013. Abstract 3000.
  • 74. Immune Adverse Events • Onset: – Average is 6-12 wks after initiation of therapy – Can occur within days of the first dose, after several months of treatment, and after discontinuation of therapy • Pt complaints are autoimmune and drug related until proven otherwise – Rule out infections, metabolic causes, tumor effects, etc • Early recognition, evaluation, and treatment are critical
  • 75. Kinetics of appearance of immune-related adverse event. Jeffrey S. Weber et al. JCO 2012;30:2691-2697 ©2012 by American Society of Clinical Oncology
  • 77. Will These PD-1/PD-L1 Agents End Up Being “Untargeted Use of Targeted Therapy”?
  • 78. Hansen AR, Siu LL. JAMA Oncol. 2015. 25% 46% 16-68%Cumplirían criterios
  • 79. McLaughlin J. JAMA Oncol. 2015 Nov 12;:1–9. N=49
  • 80. McLaughlin J, Han G, Schalper KA, Carvajal-Hausdorf D, Pelakanou V, Rehman J, et al. Quantitative Assessment of the Heterogeneity of PD-L1 Expression in Non–Small-Cell Lung Cancer. JAMA Oncol. 2015 Nov 12;:1–9.
  • 81. N=160 PD-L1: TC and IC Overall discordance rate: 48% Ilie M, Ann Oncol. 2015 Oct 19;:mdv489–7.
  • 82. En todos los casos discordantes la biopsia infravaloró el resultado del especimen quirúrgico, fundamentalmente en células inmunes
  • 83. Eficacia y seguridad Grado de innovación del fármaco Necesidad no cubierta Severidad de la enfermedad Biomarcador eficiente y seguro Coste
  • 84. Para concluir… Inmunoterapia en cáncer de pulmón: funciona Cambio de estándar en segunda línea? Futuro: combinaciones Múltiples checkpoints Radioterapia Quimioterapia Necesitamos biomarcadores Anti-PD1 vs Anti-PDL1?? Mecanismos de resistencia