Inflammation: a new target in cardiology? Implications of the CANTOS - - PowerPoint PPT Presentation

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Inflammation: a new target in cardiology? Implications of the CANTOS - - PowerPoint PPT Presentation

Inflammation: a new target in cardiology? Implications of the CANTOS trial WCN 24 nov 2017 Erik Stroes Vasculaire geneeskunde AMC Cardiovascular disease caused by atherogenesis LDLc accumulation in lipid-rich core Fibrous Intermediate


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Inflammation: a new target in cardiology?

Implications of the CANTOS trial

WCN 24 nov 2017 Erik Stroes Vasculaire geneeskunde AMC

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Cardiovascular disease caused by atherogenesis

LDLc accumulation in lipid-rich core

Boren J. Curr Opin Lipidol 2016

Fatty streak Intermediate lesions Atheroma Fibrous plaque Complicated lesion/rupture

Koenig W, ATvB 2007

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SLIDE 3

Lowering of LDL-C reduces CV event rates

The lower, the better

  • CTTC. Lancet 2005;366:1267–1278. CTTC. Lancet 2010;376:1670–1681.

Cannon et al. N Engl J Med 2015;372:2387 – 2397.

50% 40% 30% 20% 10% 0% 19 39 58 77

Reduction in LDL-C (mg/dL) Proportional Reduction in Event Rate (SE)

CTT-meta-analysis

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However, majority of events NOT prevented by LDL-c lowering alone

Events, %

100 80 60 40 20

Residual events Prevented events 4S LIPID CARE HPS WOS JUPITER AF/Tex 1º Prevention High risk 2º Prevention

Circulation 1999;99:736–743. Lancet 1995;345:1274–1275. N Engl J Med 1998;339:1349–1357. J Am Coll Cardiol 1999;33:125–130. N Engl J Med 1995;333:1301–1307. JAMA 1998;279:1615–1622. Lancet 2010;376:333–339.

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SLIDE 5

Lowering residual cardiovascular risk

  • n top of statin therapy
  • I. Lipids

PCSK9-ab

  • II. Inflammation
  • III. Coagulation

Disease progression Acute event

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SLIDE 6

Benefit of EvoMab

in absence of high-risk features

6

1.

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7 Sabatine M, AHA 2017.

  • 2. Identification of high-risk patients

based on High-Risk MI Features

N Cumulative incidence of CV death, MI, or stroke (secondary endpoint) Placebo RRR ARR Overall patients with prior MI N= 22,351

  • 18%
  • Time from

Qualifying MI < 2 y ago N=8,402 10.8% 24% 2.9% ≥ 2 y ago N=13,918 9.3% 13% 1.0% Number of Prior MIs ≥ 2 N=5,285 15.0% 21% 2.6% 1 N=17,047 8.2% 16% 1.7% Residual Multivessel CAD MVD N=5,618 12.6% 30% 3.4% No MVD N=16,715 8.9% 11% 1.3%

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Benefit of Evolocumab in high risk patients

Based on multivessel disease

8

Multivessel disease No multivessel disease

Sabatine M, AHA 2017.

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Benefit of Evolocumab

in absence of high-risk features 9

Sabatine M, AHA 2017

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FOURIER: Evolocumab Reduced MI, Stroke, but Not Mortality…

Number of events HR [CI] P-value Evolocumab Placebo

MI 468 639 0.73 [0.65-0.82] <0.001 Stroke 207 262 0.79 [0.66-0.95] 0.01 Coronary revasc 759 965 0.78 [0.71-0.86] <0.001 All-cause death 444 426 1.04 [0.91-1.19] 0.54 CV death 251 240 1.05 [0.88-1.25] 0.62

Sabatine M, N Engl J Med 2017

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 Clinical features offer an approach to tailor PCSK9-ab therapy  Recent MI (< 2 yrs)  Recurrent events  Multivessel disease  PAD  Absolute baseline LDLc level  Despite LDL-c lowering to virtually undetectable levels  Substantial residual CV-risk is not prevented  Most likely, a multifactorial disease requires a multifactorial therapy

Summary benefit of additional LDL-c lowering by PCSK9-ab to reduce residual CV-risk

11

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Lowering residual cardiovascular risk

  • n top of statin therapy
  • I. Lipids

PCSK9-ab

  • II. Inflammation

Canakinumab

  • III. Coagulation

Disease progression Acute event

✔︐

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SLIDE 13

Libby et al. 2009 JACC; 54: 2129-2138

LDL & CRP lowering

in JUPITER

Ridker et al. 2008 N Engl J Med; 359: 2195-207.

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Inflammation, Plaque Instability and Rupture:

from Foam Cell Formation to Ischaemic Events

Koenig W, Arterioscler Thromb Vasc Biol 2007;27:15–26.

Foam cell Fatty streak Intermediate lesions Atheroma Fibrous plaque Complicated lesion/rupture

1° & messenger inflamm chemokines Cellular adhesion molecules Plaque destabilisation Plaque rupture ▪ IL-1 ▪ TNF-α ▪ IL-6 ▪ IL-18 ▪ MCP-1 ▪ sICAM ▪ sVCAM ▪ Selectins ▪ ADMA ▪ IL-18 ▪ oxLDL ▪ LpPLA2 ▪ GPx-1 ▪ MPO ▪ MMPs ▪ MCP-1 ▪ PlGF ▪ PAPP-A ▪ sCD40L ▪ Neopterin ▪ sPLA2

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Persistent increased hematopoietic activity

in CVD patients

Van der Valk, Stroes, Eur Heart J 2016

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Hematopoietic activity predicts CV-risk

in patients following myocardial infarction

Spleen and BM activity increased in ACS patients Spleen and BM-activity correlates with arterial activity Spleen and BM activity Correlate with CVD risk

Emami, JACC CV imaging 2015

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PROVE-IT IMPROVE-IT

Residual Inflammatory Risk Residual Cholesterol Risk Both Neither hsCRP > 2 mg/L LDLC < 70 mg/dL hsCRP < 2 mg/L LDLC > 70 mg/dL hsCRP > 2 mg/L LDLC > 70 mg/dL hsCRP < 2 mg/L LDLC < 70 mg/dL

Residual Inflammatory Risk very common

Statins little impact on inflammation

Ridker PM. Circulation Res 2017;120:617-9.

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Additional LDL Reduction IMPROVE-IT : Ezetimibe 6% RRR FOURIER/SPIRE: PCSK9 Inhibition q2 weeks 15% RRR Known Cardiovascular Disease LDL 150 mg/dL (3.8 mmol/L) hsCRP 4.5mg/L Additional Inflammation Reduction

No Prior Proof of Concept

High Intensity Statin LDL 70 mg/dL (1.8 mmol/L) hsCRP 3.8 mg/L LDL 110 mg/dL (2.8 mmol/L) hsCRP 1.8 mg/L

“Residual Cholesterol Risk” “Residual Inflammatory Risk”

Do anti-inflammatory interventions reduce CV-risk?

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Ridker PM. Circ Res 2016;118:145-156.

IL-1 beta inhibition

Identifying Upstream Targets for Atheroprotection

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Stable CAD (post MI) On Statin, ACE/ARB, BB, ASA Persistent Elevation

  • f hsCRP (> 2 mg/L)

Randomized Canakinumab 150 mg SC q 3 months Randomized Placebo SC q 3 months Primary CV Endpoint: Nonfatal MI, Nonfatal Stroke, Cardiovascular Death (MACE) Randomized Canakinumab 300 mg SC q 3 months* Key Secondary CV Endpoint: MACE + Unstable Angina Requiring Unplanned Revascularization (MACE+) Randomized Canakinumab 50 mg SC q 3 months

Canakinumab Anti-Inflammatory Thrombosis Outcomes Study

N = 10,061 39 Countries April 2011 - June 2017 1490 Primary Events

Critical Non-Cardiovascular Safety Endpoints: Cancer and Cancer Mortality, Infection and Infection Mortality

Ridker PM, et al. N Engl J Med. 2017;377:1119-31

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Percent Change from Baseline (median) hsCRP LDLC HDLC TG

Placebo Canakinumab 50 Canakinumab 150 Canakinumab 300

Months

CANTOS:

Dose-Dependent Effects on Inflammatory Biomarkers

Placebo SC q 3 mth Canakinumab 50mg SC q 3 mth Canakinumab 150mg SC q 3 mth Canakinumab 300mg SC q 3 mth

Ridker PM et al. N Engl J Med. 2017;377:1119-31

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Placebo SC q 3 months Canakinumab 150/300 mg SC q 3 months

HR 0.85 95%CI 0.76-0.96 P = 0.007

Ridker PM et al. N Engl J Med. 2017;377:1119-31

Cumulative Incidence (%) Follow-up Years

CANTOS: Primary Cardiovascular Endpoints

HR 0.83 95%CI 0.74-0.92 P = 0.0006

MACE MACE - Plus

Follow-up Years

1 2 3 4 5

Cumulative Incidence (%)

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0.5

Canakinumab Superior Canakinumab Inferior

Group Women Men Age < 60 yrs Age > 60 yrs Diabetes No diabetes Non Smoker Smoker BMI < 30 kg/m2 BMI > 30 kg/m2 LDLC < 80 mg/dL LDLC > 80 mg/dL hsCRP > 2 to <4 mg/L hsCRP > 4 mg/L HDLC > 45 mg/dL HDLC < 45 mg/dL TG < 150 mg/dL TG > 150 mg/dL

Overall

MACE

Consistency of Effect Across All patient Groups Defined By Baseline Clinical Characteristics

Ridker PM et al. N Engl J Med. 2017;377:1119-31

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Canakinumab SC q 3 months Endpoint Placebo (N=3347) 50 mg (N=2170) 150 mg (N=2284) 300 mg (N=2263) P-trend

Primary 1.00 0.93 0.85 0.86 0.020 Secondary 1.00 0.90 0.83 0.83 0.002 Myocardial Infarction 1.00 0.94 0.76 0.84 0.028 Urgent Revascularization 1.00 0.70 0.64 0.58 0.005 Any Coronary Revascularization 1.00 0.72 0.68 0.70 <0.001 Stroke 1.00 1.01 0.98 0.80 0.17 Cardiac Arrest 1.00 0.72 0.63 0.46 0.035 CV Death 1.00 0.89 0.90 0.94 0.62 All Cause Mortality 1.00 0.94 0.92 0.94 0.39

Benefit of Canakinumab Across CV Endpoints

Ridker PM et al. N Engl J Med. 2017;377:1119-31

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Canakinumab SC q 3 months Adverse Event Placebo (N=3347) 50 mg (N=2170) 150 mg (N=2284) 300 mg (N=2263) P-trend Any SAE 12.0 11.4 11.7 12.3 0.43 Leukopenia 0.24 0.30 0.37 0.52 0.002 Any infection 2.86 3.03 3.13 3.25 0.12 Fatal infection 0.18 0.31 0.28 0.34 0.09/0.02* Injection site reaction 0.23 0.27 0.28 0.30 0.49 Any Malignancy 1.88 1.85 1.69 1.72 0.31 Fatal Malignancy 0.64 0.55 0.50 0.31 0.0007 Arthritis 3.32 2.15 2.17 2.47 0.002 Osteoarthritis 1.67 1.21 1.12 1.30 0.04 Gout 0.80 0.43 0.35 0.37 0.0001 ALT > 3x normal 1.4 1.9 1.9 2.0 0.19 Bilirubin > 2x normal 0.8 1.0 0.7 0.7 0.34

* P-value for combined canakinumab doses vs placebo

Adverse effects of Canakinumab

per 100 person years of exposure

Ridker PM, et al. N Engl J Med. 2017;377:1119-31

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Interleukin-1b Inhibition with Canakinumab

Can we identify evidence of individual drug response to define patient groups likely to benefit? Does the magnitude of CRP reduction identify individual patients most likely to benefit?

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1 2 3 4 5 0.00 0.05 0.10 0.15 0.20 0.25 Cumulative Incidence

Placebo On Treatment hsCRP: Top Tertile On Treatment hsCRP: Middle Tertile On Treatment hsCRP: Lowest Tertile

Confirmed MACE by Tertiles of 3 Month hsCRP

HR (95% CI) P ___________________________________________________________ 1.0 (ref) (ref) 0.99 (0.86,1.14) 0.93 0.83 (0.72,0.96) 0.014 0.71 (0.61,0.82) <0.0001

Follow-up (years)

  • No. at risk:

Placebo 3182 3014 2853 2525 1215 200 Canakinumab: Top Tertile 2090 1983 1866 1632 789 139 Middle Tertile 2044 1947 1866 1660 821 146 Lowest Tertile 2218 2147 2056 1856 888 153

CRP Tertiles Measured After the Initial Canakinumab dose

Placebo Tertile 1 (hsCRP>2.6mg/L) Tertile 2 (hsCRP >1.2-<2.6) Tertile 3 (hsCRP <1.2mg/L)

MACE 29% reduction for those achieving lowest hsCRP tertile 17 % reduction for those achieving middle hsCRP tertile 1 % reduction for those achieving highest hsCRP tertile

Ridker PM et al. N Engl J Med. 2017;377:1119-31

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Clinical Outcome Placebo (N = 3182)

Canakinumab On-treatment hsCRP > 2mg/L (N = 2868) Canakinumab On-treatment hsCRP < 2 mg/L (N = 3484)

MACE HR (adjusted) 95% CI P 1.0 Referent Referent 0.90 0.79-1.02 0.11 0.75 0.66-0.85 <0.0001 MACE - Plus HR (adjusted) 95% CI P 1.0 Referent Referent 0.91 0.81-1.03 0.14 0.74 0.66-0.83 <0.0001 CV Death HR (adjusted) 95% CI P 1.0 Referent Referent 0.99 0.82-1.21 0.95 0.69 0.56-0.85 0.0004 All-Cause Mortality HR (adjusted) 95% CI P 1.0 Referent Referent 1.05 0.90-1.22 0.56 0.69 0.58-0.81 <0.0001

HRs adjusted for age, gender, smoking, HTN, diabetes, BMI, baseline hsCRP, Baseline LDLC

Impact on mortality

According to On-treatment CRP > or < 2 mg/L After Drug Initiation

Ridker PM et al. N Engl J Med. 2017;377:1119-31

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Clinical Outcome Placebo (N = 3182) Canakinumab On-treatment hsCRP > 2mg/L (N = 2868) Canakinumab On-treatment hsCRP < 2 mg/L (N = 3484) Fatal Infection Incidence rate (per 100 person years) 0.18 0.35 0.27

CANTOS : Adverse Effects

Incidence Rates of Fatal Infection Not Related to On-Treatment Levels of hsCRP

Ridker PM et al. N Engl J Med. 2017;377:1119-31

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Lowering residual cardiovascular risk

  • n top of statin therapy
  • I. Lipids

PCSK9-ab

  • II. Inflammation

Canakinumab

  • III. Coagulation

Rivaroxaban Disease progression Acute event

✔︐ ✔︐

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Eikelboom, N Engl J Med 2017

COMPASS design

Low-dose Rivaroxaban on top of aspirin

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Eikelboom, N Engl J Med 2017

Primary endpoint:

CV-death, MI, stroke

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We can choose in high CV-risk

depending on ‘most active pathway’ per patient?

Study target CVD risk reduction Special details Safety

FOURIER Evolocumab Lipids / LDL-C

  • 15 - -41%

(lower LDL – higher benefit)

CV-mortality unchanged No safety signals CANTOS Canakinumab Inflammation

  • 15 - -27%

(lower CRP – higher benefit)

Urgent revasc. -36% Fatal infections  COMPASS Rivaroxaban Coagulation

  • 24%

CV-mortality -22% Stroke -42% Major bleeds +70% Fatal bleeds unchanged

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Patient “at risk”

Inflammation Lipids Thrombosis Glucose

LDL lp(a) Remnants

How can we select best treatment for individual patient ?

Kees Hovingh, WCN novermber 2017

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Patient “at risk”

Inflammation

CRP ?

Lipids Thrombosis

PAD/plaque burden

Glucose

DM-II

LDL

LDL/risk? lp(a) Lp(a)?

Remnants

Non-HDL?

Simple ‘benefit’ predictors ?

Kees Hovingh, WCN novermber 2017

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Future selection for personalized medicine:

Most effective ‘drug’ for most suitable patient

Nahrendorf, Stroes, et al J Am Coll Cardiol 2015;65(15)1583-91.

Multimodal imaging

Ganz, P. et al. .JAMA 2016;315:2532-41

  • Active pathway analysis using “proteomics“

Routine chemistry

Detect major ‘residual’ risk factor: Residual

  • LDL-c

Residual

  • CRP

Residual

  • remnant

cholesterol Residual

  • ‘coagu-

lation’ risk

Averna, Stroes Atherosclerosis suppl 2017

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From ‘random’ group-polypharmacy towards ‘tailored’ individual therapy

The future: from ‘block-buster therapies’ to ‘tailored’ therapy

Further LDLc lowering :

  • PCSK9-ab

Inflammation inhibition :

  • Canakinumab

Anticoagulants :

  • Rivaroxaban

Other :

  • Lp(a) lowering?
  • remnant chol lowering?

New Need for Cardiologist brains!@

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Acknowledgments

AMC: 

Hein Verberne  Aart Nederveen  Jeffrey Kroon  John Kastelein 

Boston 

Paul Ridker  Peter Libby 

Repogram consortium: 

Wolfgang Koenig, Borge Nordestgaard  Esther Lutgens 

Funding: 

EU (Horizon  2020, FP7), Dutch Heart Foundation (CVON-Genius) FP  7 Nano-Athero, Nanonext