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Immunoterapia. Razionale e basi biologiche

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(1)
(2)

Cancer immunity involves contrasting signals

activation suppression

(3)

Multiple immune cells interact with tumors but the key step is the activation of T cells

T cells

(4)

Tissue antigens

(MUC1, EPCAM, PSA, PSMA, PAP, Mart-1, CEA….…)

Embryonic antigens

(MAGE3, NY-ESO1, PRAME….)

Weak or no response

Self antigen

Strong response

Activation of T cells (IMMUNOGENICITY) is driven by tumor antigens

NEOANTIGENS

Neoantigen or foreign antigen Immune responses are based on

(5)

DNA “mutations”

•missense, frameshift, splice-site mutations

•insertion-deletion

•translocations

Sun exposure Smoking

Environmental factors

Genetic background HVB, HCV HPV

adenovirus EBV

Viral proteins expressed by tumor cell

T cell

Nature of cancer neoantigens

Non-silent DNA mutations Viral antigens

(6)

T cell

T cell

T cell receptor (TCR) CD8/CD4

Tumor neoantigen

HLA I/II Tumor

cell

Release of cytotoxic granules

(perforin, granzyme B) to kill the target cell Secretion of cytokines (IFN, TNF, others) to modulate the tumor microenvironment IFNg

T cell recognition of tumor antigens

triggers an event cascade

in tumor microenvironment

(7)

A A

Lymph node

Peripheral blood

Dendritic cells

A A

A A

Tumor-specific T cell activation

and clonal expansion

A A

Tumor cell apoptosis

T cell priming

Tumor neoantigens

T cell

homing to tumor site

Tumor killing

Cancer IMMUNOGENICITY induces tumor immunity by autovaccination

Effector

phase

(8)

A A

Lymph node

Peripheral blood

Dendritic cells

A A

A A

Tumor-specific T cell activation

and clonal expansion

A A

Tumor cell apoptosis

T cell priming

T cell

homing to tumor site

Tumor killing

Cancer IMMUNOGENICITY induces T cell exhaustion

Chronic immunostimulation

T cell exhaustion

Local accumulation of IFN and proinflammatory cytokines

Negative feedback mechanisms

Tumor neoantigens

(9)

CD28

CTLA-4 PD-1

TCR

PI-3K Grb-2

antigen HLA

PD-L1

T cell activation (IFNg) causes the expression of immune checkpoints

IFNg

(10)

CTLA-4

Acting in the PRIMINGphase by blocking T cell activation via dendritic cells and

potentiating the function of CTLA-4+ regulatory T cells (Treg)

Acting in the EFFECTOR phase by blocking T cell anti-tumor function (lysis, proliferation, cytokine release)

PD-L1 PD-1

Major activity on CD4+ memory T cells Major activity on CD8+ effector T cells

Multiple immune checkpoints block T cell function

(11)

Immune checkpoints are upregulated in tumor infiltrating T cells

Tumeh et al., Nature 2014

PD-1

Gentles et al., OncoImmunol 2015

Ki67

PD-1 TIM-3 CTLA-4

(12)

Highfill SL t al., Sci Transl Med. 2014

PD-L1 in tumor cells PD-L1 in tumor

infiltrating cells (myeloid cells)

Taube et al., Clin Cancer Res 2014 Oncogenic pathways

HIF1a-hypoxia

VHL

EGFR activation

AP-1 signaling

PTEN loss

PI3K/AKT/mTOR

(13)

HOT TUMOR COLD TUMOR Tumor cells

T cells and other

anti-tumor immune cells

Immunosuppressive and inflammatory cells

Cancer IMMUNOGENICITY and T cell infiltrate

defines HOT and COLD tumors

(14)

Chronic stimulation is associated

with the accrual of immunosuppressive cells

Antigen clearance

Memory T cells

Activation of negative feedback pathways

to downsize responses and avoid normal tissue damage Immune

suppressive cells

Immune checkpoints

Regulatory

T cells Myeloid derived suppressor cells

CTLA4 PD1

(15)

Treg TAM

COLD TUMORS produce factors attracting

immunosuppressive cells in tumor microenvironment

Promoting EMT and metastatization

-Myeloid-derived

suppressor cells (MDSC) -Tumor infiltrating

macrophages (TAM) - Regulatory T cells (Treg)

Immunosuppression Angiogenesis

Epithelial-to-

mesenchymal transition

HIF1a-hypoxia VHL

EGFR activation AP-1 signaling PTEN loss

PI3K/AKT/mTOR CCL2

GM-CSF

Low expression of neoantigens

(16)

Thorsson et al., Immunity 2018

Bad prognosis

Good prognosis

Macrophages Monocytes Granylocytes

Gentles et al., Nature med 2015

T cells

(17)

Tumor myelo- conditioning

factors

Monocytes Myeloid precursors

Treg

Spleen Lymph nodes Bone marrow

CD3+ T cells

Tumor lesion

Blood Altered monocytes

Myeloid-derived suppressor cells

Myeloid cells

inhibit T cell proliferation and function

Systemic immunosuppression is source of

predictive/prognostic biomarkers

(18)

Tumor myelo- conditioning

factors

Monocytes Myeloid precursors

Treg

Spleen Lymph nodes Bone marrow

CD3+ T cells

Cancer patients

Blood levels

Predictive and prognostic biomarkers

Tumor lesion

Blood Altered monocytes

Myeloid-derived suppressor cells

Myeloid cells

inhibit T cell proliferation and function

Systemic immunosuppression is source of

predictive/prognostic biomarkers

(19)

Vetsika et al., J Immunol Res 2014

Myeloid-derived suppressor cells accumulate in tumor and blood

of cancer patients in association with bad prognosis

(20)

Myeloid Index Score

Rivoltini et al., manuscript in prep Sade-Feldman et al., Clin Cancer Res 2016

Monocytic MDCS

Time

Probability

0 3 6 9 12 15 18 21 24 27 30

0.00.20.40.60.81.0

27 27 27 26 24 21 17 14 12 11 11 iBRAF

38 38 38 37 31 27 23 19 15 11 10 Ipi/Nivo

18 18 13 5 2 1 1 1 1 1 1 iBRAF

38 26 14 11 8 6 3 1 1 Ipi/Nivo

iBRAF Ipi/Nivo

iBRAF Ipi/Nivo

No. patients at risk

Index=0 Index>0

pvalue Therapy= 0.98 OS INDEX X THERAPY

Neutrophil to lymphocyte ratio

Ferrucci et al., Ann Oncol 2015

Anti-CTLA4 in melanoma

Anti-PD-1 in NSCLC

Diem et al., Lung Cancer 2017

Circulating myleoid cells as marker of

poor prognosis and resistance to therapy

(21)

HOT TUMOR

Exhausted T cells

Immune checkpoint inhibitors

PD-1/PD-L1 blockade Hyperexhausted T cells + Lag3 blockade

+ TIM3 blockade

Therapeutic approaches

in HOT tumors

(22)

HOT TUMOR

Exhausted T cells

Immune checkpoint inhibitors

PD-1/PD-L1 blockade Hyperexhausted T cells + Lag3 blockade

+ TIM3 blockade

Escaping tumor

HLA loss, Ag loss, APC loss

Local inflammatory stimuli (radiotherapy, chemotherapy, intratumor immonomodulation) Non-T cell immunity stimulation

Therapeutic approaches

in HOT tumors

(23)

Reduce/modify immunosuppression

•Chemotherapy (myelo-conditioning)

•Radiotherapy (TAM2->TAM1 conversion)

•Anti-angiogenics

•Novel “target” therapies (CSFR1, Arg1…)

How to turn cold

into hot tumors

(24)

Reduce/modify immunosuppression

•Chemotherapy (myelo-conditioning)

•Radiotherapy (TAM2->TAM1 conversion)

•Anti-angiogenics

•Novel “target” therapies (CSFR1, Arg1…)

Attract T cells

Local inflammatory stimuli

(radiotherapy, chemotherapy, immunomodulators) Adoptive immunotherapy (CART cells)

Cancer vaccines

How to turn cold

into hot tumors

(25)

Take home message

Tumor cells express antigenic determinants (neoantigens) triggering the activation of specific CD8+ and CD4+ T cells

Activated T cells recognize tumor via interaction with HLA/antigen complex, secretion of cytolytic factors and release of inflammatory cytokines (IFN)

This interaction triggers negative feedback pathways involving immune checkpoints (PD-1/PD-L1, CTLA4, TIM3, Lag3…) at tumor site and in lymph nodes

T cell infiltrated tumors (HOT) express high level of neoantigens and immune checkpoints and more likely to respond to immunotherapy (ICI)

Tumors lacking T cell infiltrate (COLD) attract immunosuppressive cells (MDSC, TAM, Treg) and are unlikely to respond to ICI

Old and novel therapeutic strategies can be used to turn COLD tumors into HOT,

for improving cancer control in clinical setting

(26)

Thank you

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