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CIT: from translational research to clinical application John Haanen ESMO I-O preceptorship Zürich 2018

CIT: from translational research to clinical application · Nivolumab improves PFS and OS compared to dacarbazine. Are there any predictive markers for PD1/PDL1 blockade? Evolution

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  • CIT: from translational research to clinical application

    John Haanen

    ESMO I-O preceptorship Zürich 2018

  • My disclosures

    • I have provided consultation, attended advisory boards, and/or provided lectures for: Pfizer, Bayer, MSD, BMS, IPSEN, Novartis, Roche/Genentech, Neon Therapeutics, Celsius Therapeutics, Gadeta BV, Immunocore, Seattle genetics for which NKI received honoraria

    • Through my work NKI received grant support from BMS, MSD, Novartis and Neon Therapeutics

  • Cancer Immunotherapy

    …fighting cancer but ignoring the tumor…

    unleashing the immune system or

    harnessing the immune system

    to combat cancer

  • 2013 2014 2015

  • What is the science behind CIT?

  • van Elsas et al., J Exp Med 1999

  • van Elsas et al., J Exp Med 1999

    Prevention of outgrowth and rejection of aggressive B16 melanoma using CLTA-4 blockade and vaccine

  • Combination of anti-CTLA-4 + vaccine leads to rejectionof pulmonary metastases and immune infiltrates

    van Elsas et al., J Exp Med 1999

  • Melanoma bearing mice successfully treated withanti-CTLA4 and vaccine develop vitiligo

    van Elsas et al., J Exp Med 1999

  • Cancer immunity cycle

    Chen & Mellman Immunity 2013

    CTLA4

    PD1/PDL1CTLA4

  • T cell signaling

  • T cell activating and inhibiting molecules and signals

    Melero, Haanen. Nat Rev Cancer 2015

  • Checkpoint molecule CTLA4

  • CTLA4 plays a role during T cell priming

    Ribas. N Engl J Med 2012

  • Human CTLA4 blockade

    • Ipilimumab, IgG1 human mAb, selected for its lack of ADCC/CDC activity– Administered every 3 weeks x 4, 3 mg/kg– Showed improvement in mOS of 4 months in

    metastatic melanoma– Approved in 2011

    • Tremelimumab, IgG2 human mAb– Administered every 3 months, 15 mg/kg– Failed to show improvement in mOS

  • Efficacy of ipilimumab as first line treatment

    Robert et al., NEJM 2015

    ORR: 11.9%

  • CTLA-4 blockade (ipilimumab) can induce long-term survival (pooled overall survival analysis including Expanded Access Program data from 4846 patients)

    4846 1786 612 392 200 170 120 26 15 5 0

    Median OS (95% CI): 9.5 months (9.0–10.0)

    3-year OS rate (95% CI): 21% (20%–22%)

    Pro

    port

    ion

    Aliv

    e

    0.0

    0.1

    0.2

    0.3

    0.4

    0.5

    0.6

    0.7

    0.8

    0.9

    1.0

    Months0 12 24 36 48 60 72 84 96 108 120

    Ipilimumab

    CENSORED

    Patients at RiskIpilimumab

    Schadendorf D, et al. J Clin Oncol 2015

  • Treatment with anti-CTLA-4 mAb

    Maker et al., Ann Surg Oncol 2005

  • Auto-immune uveitis afteranti-CTLA-4 treatment

    Aftertreatment

  • Immune related adverse events upon anti-CTLA-4 mAb treatment

    colitis hypophysitis

  • How does CTLA4 blockade lead to anti-tumor immune responses?

    Two not mutually exclusive mechanisms have been proposed:1. Priming of tumor-reactive T cells

    – Against shared tumor associated antigens– Against mutated (neo) antigens

    2. Depletion of regulatory FoxP3+ T cells from the tumor microenvironment

  • 1. Self antigens (to which tolerance is incomplete)Shared between patients

    2. ‘Neo-antigens’, epitopes that arise as a consequence of tumor-specific mutationsIn large part patient-specific, hence generallyignored

    What could tumor-specific cytotoxic T cells detect on human cancer?

  • Kvistborg et al., Science Transl Med 2014

    Two models proposed

  • Analysis of PBMC from 40 ipilimumab treated melanoma patients for 75 tumor associated

    antigens

    Kvistborg et al., Science Transl Med 2014

  • Generation of pMHC multimers by UV-induced peptide ex change

    Peptide 1 Peptide 2 Peptide 3

    Disintegration

    Rescue Peptides

    Toebes et al. Nat. Med. 2006Bakker et al. PNAS 2008

    Allows generation of 1000s of pMHC in parallel

  • Generate fluorochromeconjugated MHC multimers

    Mix to create a collectionof differentially encodedMHC multimers

    Assembly of combinatorialcodes on T cell surfaces

    Analysis by flow cytometry

    T cell T cell T cell

    Self-assembling molecular codes

    Allows detection of 47 T cell responses in parallel

    Hadrup et al, Nat Methods 2009, Andersen et al, Nat Prot 2012.

  • Flow results…

    Kvistborg et al., Science Transl Med 2014

  • Ipilimumab treatment leads to broadening of the anti cancer IR

    Kvistborg et al., Science Transl Med 2014

  • Kvistborg et al., Science Transl Med 2014

    T cell responses against shared tumor antigens

  • 1. Self antigens (to which tolerance is incomplete)Shared between patients

    2. ‘Neo-antigens’, epitopes that arise as a consequence of tumor-specific mutationsIn large part patient-specific, hence generallyignored

    What could tumor-specific cytotoxic T cells detect on human cancer?

  • Generate map of tumor-specific mutations (ExomeSeq)

    Determine which mutatedgenes are expressed (RNASeq)

    Predict epitopes for each mutation/ each HLA-allele in silico

    Screen for T cell recognitionof mutated epitopes

    MDLVLNELVISLIVESKLLEHLA-A2HLA-B7HLA-C2

    T cell

    Analyzing the neo-antigen-specific T cell repertoire in human cancer?

  • Pt 002: Partial response upon anti-CTLA4 treatment

    pre-treatment post-treatment

    Van Rooij et al., J Clin Oncol 2013

  • Analyzing the neo-antigen-specific T cell repertoire in human cancer?

    T >

    A / A

    > T

    T >

    G / A

    > C

    T >

    C / A

    > G

    C >

    A / G

    > T

    C >

    G / G

    > C

    C >

    T / G

    > A

    0

    20

    40

    60

    80

    100

    Mutation Type%

    of

    No

    n-S

    yno

    nym

    ou

    s m

    uta

    tio

    ns

    (n=1036)Resected tumor material

    Isolate tumor cells

    Identify tumor-specific mutations

  • Analyzing the neo-antigen-specific T cell repertoire in human cancer?

    Screen with MHC multimer technology

    Resected tumor material

    Isolate tumor cells Isolate tumor-infiltrating T cells

    Identify tumor-specific mutations

    Predict potential epitopes

  • pMHC PE-Cy7 (ATRS>L)

    pMH

    CQ

    D 6

    25 (

    AT

    RS

    >L)

    3.3%

    Strong T cell response against an ATRS>L neo-epitope within the tumor

    Screen with MHC multimer technology

    Resected tumor material

    Isolate tumor cells Isolate tumor-infiltrating T cells

    Identify tumor-specific mutations

    Predict potential epitopes

  • Increased magnitude of neo-antigen-specific T cell response under anti-CTLA4

    pMHC PE-Cy7 (ATRS>L)

    pMH

    CQ

    D 6

    25 (

    AT

    RS

    >L)

    3.3%

    van Rooij, van Buuren JCO 2013

  • Cancer exome-guided immunomonitoring

    � Exome-based analysis of neo-antigen specific T cell responses in human

    cancer is feasible

    - Dissect the role of neo-antigen specific T cell reactivity in melanoma

    immunotherapy (TIL therapy, anti-CTLA4, anti-PD1 etc.)

    � The T cell based immune system commonly interacts with the consequences

    of DNA damage in human melanoma

    in 10 out of 12 pts CD8 neo-ag spec TIL

    in 5 out of 6 CD4 neo-ag spec TIL

  • Snyder et al. NEJM 2014

    Mutational load and outcome to ipi

  • How does CTLA4 blockade lead to anti-tumor immune responses?

    Two not mutually exclusive mechanisms have been proposed:1. Priming of tumor-reactive T cells

    – Against shared tumor associated antigens– Against mutated (neo) antigens

    2. Depletion of regulatory FoxP3+ T cells from the tumor microenvironment

  • Vargas et al. Cancer Cell 2018

  • CD16 snp plus inflamed tumor associated with better outcome on ipilimumab in melanoma

    Vargas et al. Cancer Cell 2018

  • Freeman & Sharpe. Nat Immunol 2013

    PD1 and PD-L1 checkpoint

  • Programmed Death-1 receptor (PD1)

    • Discovered in 1992 by Honjo and coworkers– Upregulated gene in relation to apoptosis

    • Member of the Ig superfamily• Cytoplasmic domains with ITIM and ITSM

    – Recruites phosphatases– Inhibits PI3K and AKT activity

    • Inducibly expressed by CD4 and CD8 T cells, NKT cells, B cells, monocytes and subtypes of DC

    • Expressed by both effector and regulatory T cells• PD1/PD-L1 interaction involved in tolerance and chronic

    inflammation• PD1/PD-L1 contributes to functional T cell exhaustion during

    chronic infection and cancer

  • Nishimura et al. Immunity 1999; Nishimura et al., Science 2001

  • Freeman et al., J Exp Med 2000

  • Adoptive cell transfer of tumor-specific TCR transgenic 2C PD-1-/- T cells rejected tumor cells

    Blank et al., Cancer Res 2004

  • PD-1 pathway inhibits T cell response directlydownstream of the TCR

    Freeman PNAS 2008

  • PD1/PD-L1 play a role at the tumor/effector phase

    Ribas. N Engl J Med 2012

  • Checkpoint molecules PD-1/PD-L1

    • Nivolumab: anti-PD-1• Pembrolizumab: anti-PD-1• Cemiplimab: anti-PD-1• Spartalizumab: anti-PD-1

    • Atezolizumab: anti-PD-L1• Durvalumab: anti-PD-L1• Avelumab: anti-PD-L1

  • Expression of PD1 ligands

    PD-L1 (B7-H1) PD-L2 (B7-DC)

    Hematopoietic cells DC, macrophages, B cells, T cells, BM-derivedmast cells

    DC, macrophages, B cells, Th2 cells, BM-derived mast cells

    Non-hematopoietic cells Vascular endothelium, epithelia, muscle, liver, pancreatic islets, placenta, eye

    Few, airway epithelia

    Stimuli Interferons (α, β, γ) IL-4 + GM-CSGBinding partners PD1, B7.1 PD1

    Expression by tumors Melanoma, RCC, HNSCC, ovary, NSCLC

    Expression also found on tumors

  • PD-L1 on human tumor cells mediatesT cell inhibition

    Pardoll DM, Nat Rev Cancer 2012

  • Expression of PD-L1 co -localizes withTILs

    Taube et al. Science Transl Med 2012

  • PembrolizumabBaseline: April 13, 2012

    Images courtesy of A. Ribas, UCLA.72-year-old male with symptomatic progression after bio-chemotherapy, HD IL-2, and ipilimumab

    April 9, 2013

    Ribas A ASCO 2013

  • Design of CheckMate 066

  • Results of the CheckMate 066

  • Nivolumab improves PFS and OS compared to dacarbazine

  • Are there any predictive markers for PD1/PDL1 blockade?

  • Evolution of CD8+ T-cells, according to treatment outcome

    IHC Analysis of CD8+ T-cells in samples obtained before and during anti-PD1 treatment

    Tumeh et al. Nature 2014

  • PD-L1 expression and response in melanoma

    Pembrolizumab

    ORR – “PDL1+”1% cut-off: 49%

    10% cut-off: 52%

    ORR – PDL1-1% cut-off: 13%

    10% cut-off: 23%

    Melanoma

    Daud, AACR 2014Ghandi, AACR 2014

  • OS in Checkmate-066 according to PDL1 expression

    Atkinson et al. abstract 3774 SMR 2015

  • Correlation of PD-L1 Expression and Efficacy

    Borghaei H, ASCO 2016; Rittmeyer A, Lancet 2016; Herbst R, Lancet 2015

    66

  • Mutational burden and clinical benefit from anti-PD1 in NSCLC

    Rizvi et al., Science 2015

  • A neo-antigen specific T cell response induced during anti-PD1 treatment

    Rizvi et al., Science 2015

  • Anti-PD1 in mismatch repair deficient tumors

    Le et al., NEJM 2015

  • A neo-antigen repertoire may only be frequent in so me human cancers

    Formation of neo-antigens

    Generally

    Regularly

    Occasionally

    Caveat: It is possible that a ‘neglected’ repertoire of neo-antigens existsWe may be underestimating…

    Schumacher and Schreiber Science 2015

  • Checkpoint blockade

    Paradigm shift: Cancer immunotherapy can be applied broadly

  • Ayers et al. JCI 2017

  • Ayers et al. JCI 2017

  • Requirement for effective CIT

    • High mutation burden increases chance for neo-antigen specific T cell response

    • T cell infiltrate in tumor or invasive margin– CD4 and/or CD8

    • PD-L1 expression (indicative of T cell-tumor interrogation) favors response

    • IFN-γ gene signature favors response to CIT

  • Target cancer immunity cycle obstructions

  • Selection and optimization of immunotherapy-based combinations

    Zappasodi et al. Cancer Cell 2018

  • Marit van Buuren

    Sander Kelderman

    Carsten Linneman

    Laura Bies

    Daisy Philips

    Mireille Toebes

    Pia Kvistborg

    Maarten Slagter

    Joost Beltman

    Clinical translation

    Nienke van Rooij

    Bianca Heemskerk

    Raquel Gomez

    Joost van den Berg

    Maaike van Zon

    Noor Bakker

    Christian Blank

    Chemical Biology

    Huib Ovaa

    PDX models

    Kristel Kemper

    Daniel Peeper

    Sanger Institute

    Sam Behjati

    Mike Stratton

    AIMM Therapeutics

    Remko Schotte

    Hergen Spits

    LUMC

    Els Verdegaal

    Sjoerd van der Burg

    Cancer Immunotherapy Dream Team

    MSKCC

    Naiyer Rizvi

    Matt Hellman

    Alexandra Snyder

    Vlad Makarov

    Jonathan Havel

    Taha Merghoub

    Jedd Wolchok

    Tim Chan

    Utrecht University

    Can Keşmir

    MD Anderson

    Laszlo Radvanyi

    Chantale Bernatchez

    Patrick Hwu