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The renaissance of immunotherapy is a revolution for cancer patients Ira Mellman, Ph.D. Vice President, Cancer Immunology, Genentech 1

The renaissance of immunotherapy is a revolution for cancer ... - Roche · The renaissance of immunotherapy is a revolution for cancer patients Ira Mellman, Ph.D. Vice President,

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The renaissance of immunotherapy is a revolution for cancer patients

Ira Mellman, Ph.D. Vice President, Cancer Immunology, Genentech

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This presentation contains certain forward-looking statements. These forward-looking statements may be identified by words such as ‘believes’, ‘expects’, ‘anticipates’, ‘projects’, ‘intends’, ‘should’, ‘seeks’, ‘estimates’, ‘future’ or similar expressions or by discussion of, among other things, strategy, goals, plans or intentions. Various factors may cause actual results to differ materially in the future from those reflected in forward-looking statements contained in this presentation, among others: 1 pricing and product initiatives of competitors; 2 legislative and regulatory developments and economic conditions; 3 delay or inability in obtaining regulatory approvals or bringing products to market; 4 fluctuations in currency exchange rates and general financial market conditions; 5 uncertainties in the discovery, development or marketing of new products or new uses of existing

products, including without limitation negative results of clinical trials or research projects, unexpected side-effects of pipeline or marketed products;

6 increased government pricing pressures; 7 interruptions in production; 8 loss of or inability to obtain adequate protection for intellectual property rights; 9 litigation; 10 loss of key executives or other employees; and 11 adverse publicity and news coverage. Any statements regarding earnings per share growth is not a profit forecast and should not be interpreted to mean that Roche’s earnings or earnings per share for this year or any subsequent period will necessarily match or exceed the historical published earnings or earnings per share of Roche.

For marketed products discussed in this presentation, please see full prescribing information on our website www.roche.com

All mentioned trademarks are legally protected.

The renaissance of immunotherapy is a revolution for cancer patients

Early data suggests that anti-PD-L1/PD-1 is active across a wide range of tumor types

•  Melanoma: FDA approval •  NSCLC (squamous): FDA approval, 2nd line •  Renal cell carcinoma •  Breast cancer (e.g. TNBC) •  Metastatic bladder cancer •  Head & neck cancer •  Hodgkin's lymphoma

Response rates are modest, at ~10-30%

Broad activity but most patients do not benefit from single agent therapy

Using patient data to understand cancer immunity cycle

MPDL3280A Phase 1 Data: Urothelial Bladder Cancer Patients Progressive Disease (PD)

Why do many patients not respond? •  No pre-existing immunity?

Stable disease (SD) What combinations will promote PRs & CRs? •  Insufficient T cell immunity? •  Multiple negative regulators?

Monotherapy durable responses (PR/CR) What are the drivers of single agent response? How can PRs be enhanced to CRs? •  Insufficient T cell immunity? •  Multiple negative regulators?

Chen & Mellman (2013) Immunity

The cancer immunity cycle Immunosuppression as the rate limiting step to effective anti-tumor immunity

α-CTLA4 (ipilumumab)

Immuno- suppression

α-PD-L1/PD-1 (multiple)

Chen & Mellman (2013) Immunity

Combinations of immunotherapeutics Increasing response rates by keeping cancer immunity cycle turning

α-PDL1*/PD1 α-LAG-3 α-TIGIT* α-KIR

α-CTLA4* α-OX40* α-CD27* α-CD137 α-GITR

vaccines* α-CD40*

α-VEGF-A*

* = Genentech/Roche programs

α-OX40* (Treg) α-CTLA4* (Treg) α-CSF1R* IDO inhibitor*

IFNγ-­‐mediated  up-­‐regulation  of  tumor  PD-­‐L1  

Shp-2

Adaptive expression of PD-L1

MAPK"PI3K

pathways"

IFNγ-­‐mediated  up-­‐regulation  of  

tumor  IDO  

Inhibition  of  effector  T  cell  

function  

Shp-2

MAPK"PI3K

pathways"

Adaptive expression of IDO

IDO  

Georgia Hatzivassiliou, Yichin Liu

IDO (indoleamine di-oxygenase) Another suppressor of effector T cells

IDO mediates T cell suppression by reducing extracellular tryptophan and increasing kynurenine

mTOR

Promote translation

high

Enhance T reg

arylhydrocarbon receptor

FoxP3

Kynurenine

IDO*

Tumor cells

IFNg activates IDO expression

Suppress T effectors

ñ Uncharged Tryptophanol-tRNA

GCN2 kinase

Stress response

low

suppressive cytokines

Dendritic cells Macrophages

*TDO (tryptophan dioxygenase) is a second related target to IDO

Free tryptophan

Early combination data shows promising efficacy Phase I/II study of INCB024360 plus ipilimumab in melanoma

Best

per

cent

cha

nge

in

tum

or b

urde

n Pe

rcen

t cha

nge

in

tum

or b

urde

n

Gibney et al. ASCO 2014

TIGIT Model of TIGIT regulation of T cell responses

•  Human and murine tumor-infiltrating CD8+ T cells express high levels of TIGIT

•  Antibody coblockade of TIGIT and PDL1 elicits tumor rejection in preclinical models

•  TIGIT selectively limits the effector function of chronically stimulated CD8+ T cells

•  TIGIT interacts with CD226 in cis and disrupts CD226 homodimerization

Tumor cell or DC

PVR

ITIM

Competes  with  CD226  for  PVR  

100nm 1nm

TIGIT CD226

ITIM ITAM

Disrupts  CD226  ac7va7on   Directly  inhibits  T  cell  in  cis  

1

2 3

T cell

TIGIT TIGIT and PD-L1 combination effective in PD-L1 non-responsive model

Tumor cell or DC

PVR

ITIM

Competes  with  CD226  for  PVR  

100nm 1nm

TIGIT CD226

ITIM ITAM

Disrupts  CD226  ac7va7on   Directly  inhibits  T  cell  in  cis  

1

2 3

T cell

0 10 20 30 40 6010

100

1000

10000

Day

Median Tumor Volume (mm3)�

Control �anti-PD-L1 �NME1 �

anti-PD-L1 �+ NME1�

Complete Remission (CR)�

010

2030

4060

10100

1000

10000

Day

Med

ian

Tum

or V

olum

e (m

m3 )�

Cont

rol�

anti-

PD-L

1�NM

E1�

anti-

PD-L

1 �

+ NM

E1�

Com

plet

e Re

miss

ion

(CR)�TIGIT

Anti-PD-L1 + TIGIT

Control Anti-PD-L1

OX40 function and potential in oncology Promote antigen dependent effector T cell activation and T regulatory cell inhibition

Adapted from Nature Rev Immunol. 4:420 (2004).

Effector T cell

TCR

Antigen Presenting Cell

OX40

OX40L

IFN-γ

OX40 engagement on Treg cells

Treg

OX40L

OX40L

OX40

0 10 20 30 40 500

1000

2000

3000

dayTu

mor

Vol

ume

(mm

3 ) ControlAnti-mouse OX40

Treatment

Primary Tumor Challenge (EMT6)

day

Chen & Mellman (2013) Immunity Jul 25;39(1):1-10

anti-OX40

anti-PDL1 CD8 T cell

receptor

HLA

PD-1

PD-L1

Tumor cell

T cell

IFNγ

PD-L1 increase

Increase in Teff cells by anti-OX40 may create need to combine with anti-PDL1

IFN-γ"

OX40L

OX40

Anti-OX40 combined with anti-PDL1 in the MC38 model

Tumor

Myeloi

d

Granu

locyte

CD4+T

CD8+T

0

10000

20000

30000

PD

-L1

Exp

ress

ion

0 20 40 600

500

1000

1500

2000

2500

day

Tum

or V

olum

e (m

m3 ) anti%PD%L1*

control*

0 20 40 600

500

1000

1500

2000

2500

day

Tum

or V

olum

e (m

m3 )

anti%OX40*+*anti%PD%L1*

0 10 20 30 40 500

500

1000

1500

2000

2500

day

Tum

or V

olum

e (m

m3 ) !!!!!!!!!!!!!!!!!!!!!!!anti&OX40!

!!!!!!!!!!!!!!!!!control!

Jeong Kim et al. AACR 2015

Chen & Mellman (2013) Immunity

Combination with Avastin Increasing response rates by keeping cancer immunity cycle turning

α-VEGF-A

Increases in CD8+ T cell infiltration and vasculature changes with treatments in RCC

17

Pretreatment Post Avastin Post Avastin + aPD-L1

CD8 (T cells)

CD31 (vasculature)

Sznol et al. ASCO GU 2015

Anti-PDL1 in combination with Avastin

18

0

500

1000

1500

2000

0 10 20 30 40 50

Tu

mo

r V

olu

me

, m

m3

Day

Anti-VEGF combination: preclinical data

a-VEGF

a-PD-L1

a-PD-L1 + a-VEGF

Control

Cloudman melanoma

Combination of anti-PDL1 and Avastin (Ph1 data in renal cancer)

Sznol et al. ASCO GU 2015

Chen & Mellman (2013) Immunity

Combinations with chemotherapy Induced inflammation & antigen release may enhance anti-PDL1 efficacy

Chemotherapy

20-30% patients •  T cells present in tumor •  Chemokines present

(attract leukocytes)

70-80% patients •  Lack lymphocytic infiltrates

Non-responsive to single agent immunotherapies

Tumor phenotype by T cell staining

Inflamed Non-inflamed

Responsive to single agent immunotherapies

Can we convert these to responsive?

Can responses be improved?

Inflammation is necessary for response

20

Combinations with chemotherapy extend the benefit of anti-PDL1

•  Platinum chemo increases number of CD8+ cells in animal models

•  Compelling chemo+PD-L1 combination efficacy observed in phase 1 studies

•  Broad phase 3 combination program initiated in 1L NSCLC and TNBC

oxaliplatin

Dosing

0

500

1000

1500

2000

2500

3000

0 6 12 16 22 29 36

Tum

or V

olum

e, m

m3

Day

α-PDL1

combo

Control

Pre-clinical data

Phase 1 chemo combination data to be presented at ASCO 2015

1

2

3

4

5

6

7

Recognition of cancer cells by T cells (CTLs, cancer cells)

ImmTACs Bispecifics

Not all patients may have pre-existing immunity: monitoring & promoting T cell responses ImmTACs and bispecific antibodies

Immune-mobilizing mTCR Against Cancer*

*In colalboaration with Immunocore

T-cell Dependent Bispecific

TCR

Tumor antigen

Cancer cell

T cell Knob into holes full-length IgG

Targeting intracellular tumor markers Targeting extracellular tumor markers

Recruiting T cells to cancer cells ImmTACs and bispecific antibodies

Chen & Mellman (2013) Immunity

1

2

3

4

5

6

7

Cancer antigen presentation

(dendritic cells/APCs) Vaccines: •  Endogenous •  Exogenous

Not all patients may have pre-existing immunity: monitoring & promoting T cell responses Vaccines

Anti-PDL1 Phase Ia: indication response rates correlate with mutation frequency

Schumacher and Schreiber (2015) Science

Structural analysis suggests that only some mutations will be accessible to T cell receptors

26

A

S

N

E

N

M

E

T

M S

S

V

I

G

V

W

Y

L

REPS1! AQLPNDVVL!

ADPGK! ASMTNRELM!

FLU-NP! ASNENMETM!

Copine-1! SSPDSLHYL!

H60! SSVIGVWYL!

PàA RàM DàY

Immunogenic solvent-exposed mutation

Non-immunogenic mutation in MHC groove

Yadav et al (2014) Nature

Promise for a PHC vaccine? Immunization with antigenic peptides regresses growth of established MC38 tumors

Dose Groups● 01 − untreated control

02 − d1: anti−CD40 50µg + pIC 100µg, IP injection. d10: anti−CD40 50µg + pIC 100µg, IP injection. (n=10)03 − d1: anti−CD40 50µg + pIC 100µg + 3Xpeptide mix 100µg, IP injection. d10: 3Xpeptide mix anti−CD40 50µg + pIC 100µg, IP injection. (n=10)

Control

Adj

Adj+ Peptides

Immunization

14−0584: mutated MHCI MC38 peptide vaccine; MC−38 Raw and LME Fit Tumor Volume

Day

Tum

or V

olum

e ( m

m3 )

0

100

200

300

400

500

600

700

● ●●●

● ●

●●

1

0 2 4 6

● ●

●●

●●

●●

●●

● ●

●●

2

0 2 4 60

100

200

300

400

500

600

700

●●

● ●●

●●

● ●

●●

● ● ●● ●

3

Control Adj

Adj+peptides

14-0584: mutated MHCI MC38 peptide vaccine; MC-38 Overlay Fits Tumor Volume

14-0584: mutated MHCI MC38 peptide vaccine; MC-38 Raw and LME Fit Tumor Volume

Yadav et al (2014) Nature

Strategic vision: lead by developing best in class combination therapies

Combinations with immunotherapies aCD40 ✔ Vaccines, Oncolytic Viruses ✔ ✔ aCTLA-4 ✔ aOX40 ✔ aCD27 ✔ aCEA-IL2v ✔ T Cell Bispecifics ✔ ImmTACs Planned IDOi ✔✔ aCSF1R ✔ aTIGIT Planned Cytokines, anti-cytokines ✔ Combinations with other agents aVEGF ✔ aCD38 ✔ FGFR1 ✔ EGFRi ✔ ✔ ALKi Planned BRAFi ✔ MEKi ✔ BTKi ✔ aCD20 ✔ aHER2 ✔ Chemo ✔ ✔ HDAC ✔ A2V ✔

Internal combo ✔ ✔

Partnered external combo

Chen & Mellman (2013) Immunity

1

2

3

4

5

6

7

Priming & activation anti-CEA-IL2v anti-OX40 anti-CTLA4 anti-CD27* anti cytokine CD38*

Antigen presentation anti-CD40 IMA942 vaccine* oncolytic viruses*

Antigen release EGFRi ALKi BRAFi MEKi Chemo FGFR1* BTKi HDAC

T cell infiltration aVEGF

Cancer T cell recognition anti-HER2-CD3 anti-CD20-CD3 ImmTAC*

T cell killing anti-OX40 anti-CSF-1R anti-CEA-IL2v IDO inhibitor* TIGIT IDO1/TDO inhibitor*

T cell trafficking

Clinical development Preclinical development

* Partnered projects

Immuno- suppression

Doing now what patients need next