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Cancer immunotherapy: an update Cancer immunotherapy: an update

Cancer immunotherapy: an update - PowerPoint Presentation

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Cancer immunotherapy: an update - PPT Presentation

Abul K Abbas UCSF AbulAbbasucsfedu 1 General principles The immune system recognizes and reacts against cancers The immune response against tumors is often dominated by regulation or tolerance ID: 931187

cancer tumor cell tumors tumor cancer tumors cell ctla checkpoint immune blockade cells responses therapy receptors car anti antigen

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Slide1

Cancer immunotherapy: an updateAbul K. Abbas UCSFAbul.Abbas@ucsf.edu

1

Slide2

General principlesThe immune system recognizes and reacts against cancers The immune response against tumors is often dominated by regulation or tolerance Evasion of host immunity is one of the hallmarks of cancerSome immune responses promote cancer growth Defining the immune response against cancers will help in developing new immunotherapies

2

Slide3

T cell responses to tumors3

Slide4

Cross-presentation of tumor antigens 4

Slide5

Fridman et al. Nat Rev Cancer 12:298, 2012Immune phenotypes that predict better survival Analysis of 124 published articles on correlation of T cell subsets and prognosis of 20 cancer types

5

Slide6

Most tumor antigens that elicit immune responses are neoantigens Not present normally, so no tolerance Produced by mutated genes that may be involved in oncogenesis (driver mutations) or reflect genomic instability (passenger mutations) In tumors caused by oncogenic viruses (HPV, EBV), neoantigens are encoded by viral DNA Some are unmutated proteins (

tyrosinase

, cancer-testis antigens)

Derepressed

(epigenetic changes), over-expressed

Types of tumor antigens

6

Slide7

Ton N. Schumacher, and Robert D. Schreiber Science 2015;348:69-74

Identification of tumor

neoantigens

Next gen sequencing and/or RNA-

seq

Identification of HLA-binding peptides

MHC-peptide

multimer

and/or functional assays

7

Slide8

Coussens et al. Science 339:286, 2013M2Immune responses that promote tumor growth

8

Slide9

186318981957

1983

1985

1991, 4

2002

2009

2010

2011

2014

Description of immune infiltrates in tumors by Virchow

Treatment of cancer with bacterial products (“Coley’s toxin”)

Cancer

immuno

-surveillance hypothesis (Burnet, Thomas)

1976

Treatment of bladder cancer with BCG

IL-2 therapy for cancer

Adoptive cell therapy

Discovery of human tumor antigens (Boon, others)

Adoptive T cell therapy

HPV vaccination in VIN

FDA approval of

sipuleucel

-T (DC vaccine) in prostate cancer

FDA approval of anti-CTLA4 (

ipilumimab

) for melanoma

FDA approval of anti-PD1 for melanoma

The history of cancer immunotherapy: from empirical approaches to rational, science-based therapies

Breakthrough status for CAR-T cells in leukemia

9

Slide10

10

Slide11

Passive immunotherapy11

Slide12

Chimeric antigen receptorsRemarkable success in B cell acute leukemia (targeting CD19); up to 90% complete remission Risk of cytokine storm Outgrowth of antigen-loss variants of tumors?

12

Slide13

Development of chimeric antigen receptors 13

Slide14

Limitations and challenges of CAR-T cell therapy

Cytokine storm – many T cells respond to target antigen

Requires anti-inflammatory therapy (anti-IL-6R)

Risk of long-term damage (especially brain)

Unclear how well it will work against solid tumors

Problem of T cells entering tumor site

Will tumors lose target antigen and develop resistance?

Technical and regulatory challenges of producing genetically modified CAR-T cells for each patient

Prospect of gene-edited “universal” CAR-T cells?

14

Slide15

Limitations and challenges of CAR-T cell therapy -- 2

Exhaustion of transferred T cells

Use CRISPR gene editing to delete PD-1 from T cells

Increased risk of autoimmune reactions from endogenous TCRs

Use CRISPR to delete TCRs

Result is PD-1- T cells expressing tumor-specific CAR

Slide16

Dendritic cell vaccination16

Slide17

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Blocking CTLA-4 promotes tumor rejection: CTLA-4 limits immune responses to tumors

Administration of antibody that blocks CTLA-4 in

tumor-bearing

mouse leads to tumor regression

Slide18

Checkpoint blockade: Removing the brakes on the immune responseAnti-CTLA-4 antibody is approved for

tumor

immunotherapy

(enhancing immune responses

against

tumors

)

Even more impressive results with anti-PD-1 in cancer patients

18

Slide19

Checkpoint blockade Priming phase Effector phase

Checkpoint blockade for cancer

i

mmunotherapy

Slide20

Why do tumors engage CTLA-4 and PD-1?CTLA-4: tumor induces low levels of B7 costimulation  preferential engagement of the high-affinity receptor CTLA-4PD-1: tumors may express PD-L1 Remains incompletely understoodThese mechanisms do not easily account for all tumors

20

Slide21

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Is checkpoint blockade more effective than vaccination for tumor therapy?

Tumor vaccines have been tried for many years with limited success

Immune evasion is a hallmark of cancer

Multiple regulatory mechanisms

Vaccines have to overcome regulation

Tumor vaccines are the only examples of therapeutic (not prophylactic) vaccines

Vaccination after tumor detection means regulatory mechanisms are already active

Slide22

22T cell

TCR

CD28

ICOS

OX40

GITR

CD137 (4-1BB)

CD27

Activating receptors

(

costimulators

)

Inhibitory receptors

(

coinhibitors

)

CTLA-4

PD-1

TIM-3

TIGIT

LAG-3

BTLA

The landscape of T cell activating and inhibitory receptors

Slide23

Targeting inhibitory receptors for cancer immunotherapyBlocking inhibitory receptors induces tumor regression Partial or complete responses in up to 40% Biomarkers for therapeutic responses? May be more effective than vaccination Vaccines have to overcome tumor-induced regulation/toleranceAdverse effects (inflammatory autoimmune reactions) Typically manageable (risk-benefit analysis)

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Slide24

C

ombination strategies for cancer immunotherapy

Combinations of checkpoint blockers, or

bispecific

antibodies targeting two checkpoints

Already done with CTLA-4 and PD-1

Checkpoint blockade (anti-PD1 or -CTLA-4) + vaccination (DCs presenting tumor antigen)

Checkpoint blockade + agonist antibody specific for activating receptor

Checkpoint blockade + kinase inhibitor to target oncogene

24

Slide25

Checkpoint blockade: prospects and challenges

Exploiting combinations of checkpoints

Poor biology underlying choice of combinations to block

Difficult to reliably produce agonistic antibodies

Typically, 20-40% response rates; risk of developing resistance?

25

Slide26

Checkpoint blockade: prospects and challenges

Exploiting combinations of checkpoints

Typically, 20-40% response rates; risk of developing resistance?

Possible biomarkers of response

vs

resistance:

Nature of cellular infiltrate around tumor

Expression of ligands for inhibitory receptors (e.g. PD-L1) on tumor or DCs

Frequency of

neoantigens

(HLA-binding mutated peptides) in tumors from different patients

Frequency of tumor-specific “exhausted” T cells

26