Los días 15 y 16 de octubre de 2014, la Fundación Ramón Areces y la Real Academia Nacional de Farmacia, en colaboración con la Fundación de la Innovación Bankinter, reunieron en Madrid a algunos de los mayores expertos mundiales en nuevas terapias contra el cáncer. El Simposio Internacional, coordinado por la profesora y académica María José Alonso, analizó el momento actual de la lucha contra esta enfermedad. También fue un punto de encuentro para científicos de los más innovadores institutos de investigación en oncología, quienes debatieron sobre tres grandes temas: la Medicina Personalizada contra el cáncer, los nanomedicamentos en la terapia del cáncer y las terapias basadas en la inmunomodulación.
10. The cancer-immunity cycle and immunotherapy:
targeting several rate-limiting steps in a dynamic equilibrium
Tumour
Lymph node
Blood vessel
Priming and activation
(APCs & T cells)
Anti-PDL1
Anti-PD1
Anti-CTLA-4
IL-2
Cancer antigen
presentation
2
(dendritic cells/APCs)
1 Release of cancer cell
antigens
(cancer cell death)
3
Trafficking of T cells
to tumours (CTLs)
4
Infiltration of T cells into
tumours
(CTLs, endothelial cells)
5
Recognition of cancer
cells by T cells
(CTLs, cancer cells)
6
Killing of cancer cells
7
(immune and cancer cells)
Vaccines
IFN-
TLR agonist
Anti-PDL1
Anti-PD1
Chen & Mellman. Immunity 2013
ANTIGEN
CROSSPRIMIMG
11. Steps in the development of a cellular immune response against tumour-associated
antigen
Melero, I. et al. (2014) Nat. Rev. Clin. Oncol.
22. Evaluating PD-L1 status as a candidate biomarker
22
60
40
20
0
Objective Response Rate (%)
60
40
20
0
Objective Response Rate (%)
Nivolumab
monotherapy
(Grosso et al. ASCO 2013)
Combination
nivolumab plus
ipilimumab
Sequenced
nivolumab after
ipilimumab
3/21
7/17 9/22
6/13
1/13
4/8
_ + _ + _ +
Positivity rate = 45% (17/38, monotherapy), 37% (13/35, combination therapy),
and 38% (8/21, sequenced therapy)
23. Overview of efficacy and safety for anti-PDL1/PD1
therapies in NSCLC
Therapy Number of patients Key efficacy data Key safety data
MPDL3280A1 175 (85 with NSCLC: 53
evaluable, 85% PDL1+
ORR 23%
• 66% related AEs, 11% Grade 3–4 AEs (fatigue)
• No grade 3–5 pneumonitis
MEDI47362 367 (155 with NSCLC,
58 evaluable)
ORR 16%
• 29% related AEs, 3% Grade 3–4 AEs
• Pneumonitis: 1%, no Grade 3–4 pneumonitis
• No colitis
Nivolumab3 129 with NSCLC
ORR 17.1% (21.7%*)4
• 50% responded in 8 weeks
• median OS 9.9 months
• 53% related AEs, 5% Grade 3–4AEs
• Pneumonitis – 6%, Grade 3–4: 3 patients (2%) – 2 deaths
Pembrolizumab
38 with NSCLC4 ORR 21% (24%*)4
221 with NSCLC (80%
• 48% related AEs (fatigue), 6% Grade 3–4 AEs5
ORR 15% (21%‡)5 PDL1+)5 • Pneumonitis – Grade 3–4: 3 patients (1%)5
*including immune responders, irRECIST,
‡unconfirmed response
1. Soria. European Cancer Congress 2013 (abstract 3408); 2. Brahmer et al. ASCO 2014
(Abstract 8021); 3. Brahmer et al. IASLC WCLC, 2013; 4. Garon et al. IASLC WCLC, 2013;
5. Garon et al. ASCO 2014 (abstract 8020)
24.
25. 4-1BBL
CD137 (4-1BB, TNFRSF9)
4-1BB
APC T Cell
CD137,also known as 4-1BB, is a surface glycoprotein involved
in T-cell costimulation.
Its cognate ligand is CD137L, which is expressed on APCs.
Functions:T cell proliferation, inhibition of apoptosis, enhances citotoxic
activity, cytokine production.
Therapeutic target, treatment with agonist anti-CD137 mAb can
overcome tumor antigen tolerance.
Anti-human CD137 agonist mAb are undergoing phase I/phase II clinical
trials
26.
27. Activated
CTL
-Resistance to apoptosis
-Proliferation
-Gain effector functions
-Differentiation to memory cells
Activated
NK cell
Early Cytokine production
Early Tumor cell killing
Enhancement of ADCC
Provision of tumor cell
debris for cross-priming
Dendritic
cell
Activated
CD4+ T cell
Tumor
endothelium
Tumor antigen
Cross-presentation
Cytokine
Secretion
IL-13 and
IFN-g
Proinflammatory molecules
Lymphocyte infiltration?
Memory
CD8+ T cell
Inhibition/activation
In vivo paradox
T regs ?
IKDC?
Antigen-independent
activation
NKT
cell
Controversial
effects
on regulatory
function
Anti-CD137
mAb
28. *Presented by Levy, Ronald Stanford
Home Annual Meeting Primer Workshop Hot Topic Symposium Early Career Scientists Abstracts
SITC 28th Annual Meeting
November 8-10,
2013
Gaylord National Hotel & Convention Center
National Harbor, MD
Program Schedule
(As of 10/14/13 -subject
to change)
Thursday, November 7, 2013
7:00 am -6:
00 pm Registration
5:30 pm -6:
15 pm State of SITC: Membership Business Meeting
6:15 pm -7:
30 pm Welcome Reception Featuring Speed Networking
Friday, November 8, 2013
7:00 am -6:
00 pm Registration
7:00 am -8:
00 am Breakfast
7:15 am -8:
00 am Meet-the-
Expert
Breakfast
8:15 am -8:
20 am Presidential Welcome
Francesco M. Marincola, MD -Sidra
Medical and Research Center
8:20 am -8:
40 am Update Session: Cancer Immunotherapy Trials Network
Martin A. Cheever, MD -Fred
Hutchinson Cancer Research Center
SITC Quick Links
Register
Hotel Information
Faculty Log In & Resources
Connect with us!
30. Semliki Forest Virus
Lipid bilayer
(SFV)
• (+)ssRNA virus
• induces apoptosis of infected cells
• broad host range and efficient replication
• it has been developed in gene therapy as a vector for genes encoding vaccines and
antitumoral agents.
31. SFV EXPRESSION VECTOR
+ nsp1 nsp2 nsp3 nsp4 Heterologous Gene An
Rep
-
pr Sg
+
• Cytoplasmic Replication
• High protein expression
• Host proteins shut-off
• Apoptosis
Rep
Heterologous Gene An
42. TRP-2
600
400
200
0
*
Rat IgG -CD137 Rat IgG
-CD137
Saline SFV-IL12
OVA
1000
750
500
250
0
Rat IgG -CD137 Rat IgG
-CD137
Saline SFV-IL12
IFNg producing cells /106 cells
***
E ** n.s.
L
I
S
P
O
T
OVA
100
75
50
25
0
Rat IgG -CD137 Rat IgG
-CD137
Saline SFV-IL12
% Specific lysis
*
TRP-2
100
75
50
25
0
n.s.
Rat IgG -CD137 Rat IgG
-CD137
Saline SFV-IL12
I
V
K
43. 80
60
40
20
0
*
% cells T CD8 +CD137 +
*
Saline -CD137
Rat IgG -CD137 Rat IgG
SFV-LacZ
SFV-IL12
2000 **
rat IgG CD137
Quetglas, Dubrot et al., Mol Ther. 2012
WHY IS THERE SYNERGY?
1500
1000
500
0
SFV-IL12
SFV antibodies
A BENEFICIAL ADDITIONAL
EFFECT
47. Spontaneous HCC (c-mycOVA75/tTALAP)
PminCMV Pminc-myc TRE CMV ova
+ Dox
X
tTA c-myc/OVA LAP tTA
Adapted from Ney et al. Hepatol 2009;49:471–81
VP16
tetR
tetR VP16
– Dox
VP16
tetR
LAP
PminCMV Pminc-myc TRE CMV ova
c-myc/OVA x LAP tTA
53. Arch Immunol Ther Exp (Warsz). 2002;50(1):13-8.
Effective tumor immunotherapy: start the engine, release
the brakes, step on the gas pedal,...and get ready to face
autoimmunity.
Tirapu I, Mazzolini G, Rodriguez-Calvillo M, Arina A, Palencia B, Gabari I, Melero I.
Abstract
Cellular immune responses can destroy cancer cells, achieving the cure of experimental
malignancies. An expanding wealth of knowledge on the molecular basis of how to prime
and amplify a T cell response has fueled a number of strategies successful at treating
established tumors (rather than merely preventing tumor grafting). The most efficacious
approaches operate at different stages, including: 1) priming the immune response using
tumor antigen-expressing dendritic cells or tumor cells transfected with genes that render
them immunogenic, 2) sustaining and amplifying immunity using agonistic monoclonal
antibodies against costimulatory molecules or immune-potentiating cytokines, and 3)
eliminating mechanisms that self-regulate the strength of the immune response, such as
inhibitory receptors or regulatory T cells. A rational combination of such approaches holds
great hope for cumulative and synergistic effects, but there is also evidence that they can
open the flood-gates for unwanted inflammatory reactions. The next decade can be
envisioned as the time when the first reproducibly efficacious combination regimes for
cancer immunotherapy will become available and widely used in the clinic, as clinicians
learn the best strategies and try to harness their potentially damaging effects.
54. 1. Sequenced therapy schemes in time
(induction, maintenance, reinduction)
2. Debulking (before treatment or in a neoadjuvant setting)
3. Surgical removal of residual tumors in sustained PR
or long-lasting SD.
4. Stop treatment if CR or PR and watchful
Expectation (closely observing the tumor and
The Anti-tumor immunity)
And…. BIOMARKERS, BIOMARKERS, BIOMARKERS!!!!!
55. Carlos Alfaro
Carmen Oñate
Inmaculada Rodriguez
José L Pérez Gracia
Miguel F Sanmamed
Salvador Martin -Algarra
Bruno Sangro
JM Lopez Picazo
Alfonso Gúrpide
Javier Rodriguez
Jesús Prieto
Alberto Benito
Ivan Peñuelas
Alvaro Gonzalez
Aizea Morales
Miguel F Sanmamed
Sandra Hervas
Jose Quetglas
Arantza Azpilikueta
Elixabet Bolaños
Sara Labiano
Cristian Smerdou
Bristol Myers Squibb Merck
Pfizer Boehringer
Oncovir Medimmune
Roche-Genentech Miltenyi