T-Cell Checkpoints in RCC: Musings from a non- · PDF file · 2015-05-043 (13) 1...

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Primo N. Lara, Jr., M.D. Professor of Medicine University of California Davis School of Medicine Associate Director for Translational Research UC Davis Comprehensive Cancer Center Sacramento, CA, USA T-Cell Checkpoints in RCC: Musings from a non-immunologist

Transcript of T-Cell Checkpoints in RCC: Musings from a non- · PDF file · 2015-05-043 (13) 1...

Page 1: T-Cell Checkpoints in RCC: Musings from a non- · PDF file · 2015-05-043 (13) 1 (4) 24 week PFS, % (95% CI) 65 (40, 82) 64 (41 ... 0 42 84 126 168 210 252 IHC 1 IHC 0 IHC 1 IHC 0

Primo N. Lara, Jr., M.D. Professor of Medicine

University of California Davis School of Medicine

Associate Director for Translational Research

UC Davis Comprehensive Cancer Center

Sacramento, CA, USA

T-Cell Checkpoints in RCC: Musings from a non-immunologist

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The “Cancer-Immunity Cycle”

Chen & Melman, Immunity 2013

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Checkpoint Inhibitor Therapy

Nature, 2014

Both approaches activate anti-tumor T-cell activity

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http://velica.deviantart.com/

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Regulation of T-cell response is highly

complex • T-cell activation requires:

Interaction between T-cell receptor and antigen in context of MHC

CD28 co-stimulation

• T-cells are regulated by many overlapping stimulatory and inhibitory signaling pathways

• Targeting a single pathway may not be optimal

Sharma & Allison, Science 2015; Pardoll, Nature 2012

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Donald Rumsfeld’s “Known Knowns”

• Known knowns: Things we know

• Known unknowns: Things we do not know

• Unknown unknowns: Things we don't know that we don't know

• “… it is the latter category that tend to be the difficult ones.”

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Checkpoint inhibitor therapy in RCC: What we know

• PD1 or PDL-1 targeted therapies have activity

• Only 20% of patients respond

• Responses tend to be durable

• PD1 expression is associated with somewhat higher response

• Combination therapy appears to have greater efficacy but more toxic

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• Secondary endpoints: tumor response for all subjects determined as

defined by RECIST v1.1 criteria

Nivolumab: Clinical activity Previously

treated (n=67)

Treatment-

naïve (n=23) All

(N=90)† Nivolumab

0.3 mg/kg

(n=22)

Nivolumab 2.0

mg/kg

(n=22)

Nivolumab

10 mg/kg

(n=23)

Nivolumab 10

mg/kg (n=23)

Objective response rate,

n (%); (95% CI)*

2 (9)

(1.1-29.2)

5 (23)

(7.8-45.4)

5 (22)

(7.5-43.7)

3 (13)

(2.8-33.6)

15 (17)

(9.6-26.0)

Best response, n (%)

Partial response (PR) 2 (9) 5 (23) 4 (17) 3 (13) 14 (16)

Unconfirmed PR 0 0 1 (4) 0 1 (1)

Stable disease (SD) 5 (23) 6 (27) 8 (35) 10 (43) 29 (32)

Progression-free survival rate, % (95% CI)

24 weeks 18 (6-36) 32 (14-51) 49 (27-68) 45 (24-64) 36 (26-46)

*CR, PR, unconfirmed CR, unconfirmed PR; †90 pts were evaluable for response

Motzer et al, ASCO 2014; Choueiri et al. ASCO 2014

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Duration of response

Time to response Time (months)

0 3 6 9 12 15 18 21 24 27 30

0.3 mg/kg (n=12) 2 mg/kg (n=12) 10 mg/kg (n=11) R

esponders

Based on data cutoff of March 5, 2014. Ongoing response

Motzer, ASCO 2014; JCO 2014

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PD-L1 status and response in mRCC

McDermott

(ESMO 2014)1

Choueiri

(ASCO 2014)2

Motzer

(JCO 2014)3,4

Drug MPDL3280A Nivolumab Nivolumab

ORR PD-L1 (+) 20% 22% 31%

ORR PD-L1 (-) 10% 8% 18%

Antibody Genentech/Roche Ab 28.8 28.8

Cell stained Immune Cell Tumor Tumor

Criteria for positivity Any >5% >5%

1. McDermott et al. ESMO 2014, abstract 8090; Choueiri et al. ASCO 2014, abstract 5012;

3. Motzer et al. ESMO 2014, abstract 810; 4. Motzer et al. JCO 2014.

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B7-H1 (-) B7-H1 (+) P-value

# of Patients 95 18

ORR 19% 50% 0.012

PDL1 (B7-H1)/B7-H3: Impact on HD IL2 Response and PFS

B7-H1 (-)/B7-H3 (-) B7-H1 (+)/B7-H3 (+)

# of Patients 27 17

ORR 11.1% 52.9%

Response

PFS

Significantly longer PFS in B7-H1 positive tumors

Trend for longer PFS in B7-H1 and B7-H3 positive tumors

Bailey, ASCO 2013

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VEGFR-TKI + Nivolumab in mRCC

80 100

60 40 20 0

-20 -40 -60 -80

-100

Ch

an

ge

in

ba

se

lin

e

targ

et

les

ion

s (

%)

Treatment S + N (n=29) P + N (n=19)

Sunitinib + N2 (n=7) 100

Ch

an

ge

in

ba

se

lin

e (

%)

80

60

40

20

-20

-40

-60

-80

-100 12 0 36 48 60 72 84 24

0

Sunitinib + N5 (n=26)

Time since first dose (weeks)

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

Pazopanib + N (n=20) First occurrence of new lesion

12 0 36 48 60 96 24 72 84

Amin et al. ASCO 2014, abstract 5010

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• Primary endpoint: Safety (AEs, laboratory tests)

• Secondary endpoint: Efficacy (ORR, duration of response, PFS)

• Exploratory endpoint: Response by PD-L1 status

• Study assessments: Tumor response (RECIST v1.1) evaluated at screening, every 6 weeks (first 4 assessments), then every 12 weeks until disease progression

13 13 Q2W, every 2 weeks; Q3W, every 3 weeks

Patients with mRCC:

Arm N3 + I1 Nivolumab 3 mg/kg IV + Ipilimumab 1 mg/kg IV Q3W x4

Arm N1 + I3 Nivolumab 1 mg/kg IV+ Ipilimumab 3 mg/kg IV Q3W x4

Continuous Nivolumab 3 mg/kg IV Q2W

Previously treated or treatment naïve

Ran

do

mizatio

n

Hammers, ASCO 2014

Phase I study of nivolumab in combination with ipilimumab in metastatic renal cell carcinoma (mRCC)

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Treatment-related AEs leading to discontinuation N3 + I1 (n=21) N1 + I3 (n=23)

Patients with an event 9.5 26.1

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Treatment-related AEs (≥10% of patients) Event, % N3 + I1 (n=21) N1 + I3 (n=23)

All Grade 3-4 All Grade 3-4

Patients with an event 76.2 28.6 100 60.9

Safety and Tolerability: Summary

Treatment-related AE: selected categories

• No high-grade pulmonary AEs, including pneumonitis • No high grade endocrinopathy • Higher Grade 3-4 GI (26%) and hepatic (17%) toxicity seen with Ipi 3 mg/kg

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Antitumor activity

15

N3 + I1 (n=21)

N1 + I3 (n=23)

Confirmed ORR, n (%) (95% CI)

9 (43) (21.8-66.0)

11 (48) (26.8-69.4)

Median duration of response, weeks (range) 31.1 (4.1+-42.1+)a NR (12.1+-35.1+)b

Ongoing responses, % (n/N) 78 (7/9) 82 (9/11)

Best objective response, n (%)

Complete response Partial response Stable disease Progressive disease Unable to determine

0

9 (43) 5 (24) 5 (24) 1 (5)

1 (4)

10 (43) 8 (35) 3 (13) 1 (4)

24 week PFS, % (95% CI) 65 (40, 82) 64 (41, 80) aMedian follow-up 36.1 weeks; bMedian follow-up 40.1 weeks

Response rates are among the highest reported for mRCC with any systemic therapy

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MPDL3280A + Bevacizumab: Summary of Phase Ib Results

Safety and efficacy of patients in Arm A*

• Safety

– Treatment-related Grade 3 AEs occurred in 3% of

patients (1 case of neutropenia)

– No Grade 4 AEs or deaths were attributed to

MPDL3280A

• Efficacy in patients with 1L clear cell RCC

– 4 of 10 patients demonstrated an

objective response

– Additionally, 4 of 10 patients experienced SD ≥ 24

weeks

– Responding patients included 2 with

IHC (IC) 1, 1 with IHC (IC) 0 and 1 with IHC (IC)

unknown

– 9 of 10 patients with mRCC remain on

study treatment

*Patients in Arm A received MPDL3280A 20 mg/kg q3w + bevacizumab 15 mg/kg q3w; Patients dosed by 7 April 2014; data cut-off 7 July 2014; unconfirmed best responses

by RECIST v1.1

IHC 3: ≥10% of ICs are PD-L1+; IHC 2: ≥5% and <10% of ICs are PD-L1+; IHC 1: ≥1% and <5% of ICs are PD-L1+; IHC 0: <1% ICs are PD-L1+

Lieu et al. ESMO 2014, abstract 1049

Ch

an

ge

in

su

m o

f lo

ng

es

t

dia

me

ters

fro

m b

as

eli

ne

(%)

0

20

40

80

100

IHC 3 60

-20

-40

-60

-80

-100

Time on study (days)

0 42 84 126 168 210 252

IHC 1 IHC 0 IHC 1

IHC 0 IHC 0

IHC 1

IHC 0 IHC 1

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Checkpoint inhibitor therapy in RCC: What we don’t know

• Can checkpoint inhibition cure mRCC?

• Which checkpoint inhibitor is best?

• Why is response rate only 20%?

– Who is destined to respond?

– Is there a molecular phenotype predictive of benefit?

• Why is RCC so immunogenic in the first place?

(Despite a lower mutational burden compared to melanoma or lung cancer)

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Mutational burden across cancers

Alexandrov, et al. Nature 2013

Chromophobe Papillary RCC Clear cell RCC

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Mutational load is associated with

benefit from checkpoint inhibitor

therapy in melanoma

19 Snyder, NEJM 2014

• Somatic neoepitopes are shared by patients who benefit from

CTLA4 blockade.

• Somatic mutations induce a subset of tumor proteins to be

recognized by the immune system as non-self

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DCB: durable clinical benefit; NDB: no durable benefit

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Number of missense mutations by tumor type Genome Res, 2014

Tumor missense mutations that have

predicted immunoreactivity* are

associated with increased survival

*based on high mutated gene expression, high

HLA-A expression, and predicted autologus HLA-A

(MHC1) binding affinity to the tumor antigen

Immunogenic

mutation count

CD8A expression (surrogate for CD8+ TIL cells)

All patients included

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Selected PD-1 Pathway Trials in mRCC

Trial Sponsor Status NCT #

Nivolumab vs Everolimus Phase III BMS Completed accrual

01844505

Phase I/II Pazopanib + Pembro GSK Enrolling 02014636

Phase II PD-L1 vs Bev/PD-L1 vs Sunitinib Genentech Enrolling 01984242

Phase I Axitinib + Pembro Pfizer Enrolling 02133742

Nivo/Ipi vs Sunitinib Phase III BMS Enrolling 02231749

PD-1 Adjuvant Trial NCI/Coop In Development

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Phase III Nivolumab vs everolimus (completed)

• Primary endpoint: OS

• Secondary endpoints: PFS, ORR, duration of response, OS in relation to

PDL-1 status, safety, patients-reported outcomes

Eligibility criteria:

• mRCC with clear cell component

• 1 to 2 prior VEGF-targeted

therapy

• Max = 3 lines

• Stratification:

• Regions

• MSKCC risk

Nivolumab

3 mg/kg q2 weeks

Everolimus 10 mg PO QD

R

A

N

D

O

M

I

Z

A

T

I

O

N

N=822

www.clinicaltrials.gov (NCT01668784)

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MPDL3280A: Randomized Phase II Study

• Primary endpoint: PFS (central)

• Secondary endpoints: OS, ORR, DoR, OS, safety (original treatment group)

PFS, OS, ORR, DoR (crossover groups)

• Age ≥18 years

• Unresectable mRCC with component of clear cell and/or sarcomatoid histology that has not been treated with systemic agents

• KPS ≥70

N 150-300

Treat until disease

progression

MPDL3280A

+ BEV

MPDL3280A

+ BEV

Optional

crossover

www.clinicaltrials.gov (NCT01984242)

RA

ND

O

M

I

ZA

T

I

ON

MPDL3280A

Sunitinib

MPDL3280A

+ BEV

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Conclusions: T-cell checkpoints

• There are many “unknown unknowns”

– Ponds of knowledge, oceans of ignorance

• T-cell checkpoint inhibitor therapy is highly active

– … but only in a subset of mRCC patients

• Immunologic basis of mRCC response still being

investigated

– Neoantigens (mutational landscape), MDSC inhibition, others

• Combination immunotherapy is now in phase III setting

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