Hi Histor orical al outcome p parameters u used ed in PBC and - - PowerPoint PPT Presentation

hi histor orical al outcome p parameters u used ed in pbc
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Hi Histor orical al outcome p parameters u used ed in PBC and - - PowerPoint PPT Presentation

Hi Histor orical al outcome p parameters u used ed in PBC and the s e sea earch f for poten enti tial alter ernatives es EMA MA stakeho eholde der i interaction o n on the d dev evelopm pmen ent o of medicinal p produc


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SLIDE 1

Hi Histor

  • rical

al outcome p parameters u used ed in PBC and the s e sea earch f for poten enti tial alter ernatives es

EMA MA stakeho eholde der i interaction o n on the d dev evelopm pmen ent o

  • f medicinal p

produc ducts f for ch chronic n c non-infectious l liver er di dise sease ses ( s (PBC, P , PSC, N NAS ASH)

3 3 De December 2018 2018 Bettina E Hansen IHPME, University of Toronto Toronto Center for Liver Disease, UHN Gastro & Hepatology, Erasmus MC, The Netherlands

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SLIDE 2

Definition of

  • f T

True ue E Endpoint

  • Meet criteria recognized by academia/

guidelines

  • Meet requirements from regulatory

agencies:

  • a clinical event relevant to the

patient

  • measures directly how a patient

feels, functions or survives Disease True Endpoint Intervention

slide-3
SLIDE 3

Lon Long t ter erm ou

  • utcome f

for P PBC

True endpoint

  • Death (all-cause)
  • Liver transplantation
  • Decompensation of cirrhosis (variceal bleed, encephalopathy, spontaneous

bacterial peritonitis, uncontrolled ascites)

  • MELD score ≥ 15 (above specific threshold)

Reflection paper on regulatory requirements for the development of medicinal products for chronic non- infectious liver diseases (PBC, PSC, NASH); 2018

  • Hepatocellular carcinoma ?
  • Rotterdam Severe Disease Stage ?

(abnormal bilirubin AND abnormal albumin)

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SLIDE 4

Lon Long t ter erm ou

  • utcome f

for P PBC

PROS

  • Measures direct benefit/harm
  • No potential bias

CONS

  • Requires large population and often

long follow-up

  • trial duration 8-15 years
  • Event may be confounded by

competing risks

  • Event may be effected by cross over
  • f therapies or subsequent therapies
  • Does not capture symptom benefit
  • Ethical unacceptable
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SLIDE 5

Inter ermed ediate e e endpoi

  • int =

t = surrog

  • gate

e endpoint

An acceptable regulatory strategy in case of unmet need is to consider intermediate endpoints:

  • A validated substitute for the true endpoint: changes observed in the surrogate

endpoint is expected to reflect changes in the true endpoint

  • Requires confirmation of efficacy (and safety) of the compound after approval

Reflection paper on regulatory requirements for the development of medicinal products for chronic non-infectious liver diseases (PBC, PSC, NASH); 2018; Prentice, Stat in Med; 1989

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SLIDE 6

Surrogate E Endpoin int

PROS

  • Time and Care
  • a new intervention is quicker available

for the patient in need

  • the benefit/harm of an intervention is
  • bserved quicker
  • Benefit for design of a new trial
  • Influence on sample-size calculation
  • Shorter duration of study
  • Influence of recruitment and

participation enthusiasm

  • Endpoint not effected by cross over of

therapies or subsequent therapies

CONS

  • Measurements may be subject to bias
  • Validation needed
  • Various definitions: cut points, combined

endpoints

  • Depends on mode of action of

intervention

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SLIDE 7

Phase 3 3 cu current t intermedia iate en endpoin ints

Duration: 1 year POISE1 – trial Inclusion: ALP>1.67 OR abnormal bilirubin, but bilirubin < 3xULN Response: ALP<=1.67 AND min. 15 % reduction compared to baseline AND normal bilirubin BEZURSO2 - trial Inclusion: Non-responder according to Paris I Response: normal bilirubin, normal ALP, AST, ALT, albumin and PT

1Nevens et al ; NEJM 2016; 2Corpechot at al; NEJM 2018

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SLIDE 8

Inter ermed ediate e e endpoi

  • int =

t = surrog

  • gate

e endpoint

EMA advocates a more stringent definition of response and duration of study:

  • Duration of study 1-2 years add on to SOC (UDCA)
  • Intermediate endpoint:
  • ALP < 1.5xULN AND
  • 40% reduction compared to baseline AND
  • normal bilirubin

Impacts sample size calculation ALPbaseline = 1.5  ALP1yr < 0.9 ALPbaseline = 2  ALP1yr < 1.2

Reflection paper on regulatory requirements for the development of medicinal products for chronic non-infectious liver diseases (PBC, PSC, NASH); 2018; Prentice, Stat in Med; 1989

slide-9
SLIDE 9

Histor

  • rical B

Bioc

  • chemical R

Respon

  • nse

e Criteria

Group Year of publication Number of patients Response Criteria assessed at 1 or 2 years Barcelona1 2006 192 ALP >40% decrease from baseline or normalization Paris 12 2008 292 ALP ≤ 3 x ULN and AST ≤ 2 x ULN and bilirubin ≤ 1 mg/dl Rotterdam3 2009 375 Normalization of albumin and/or bilirubin Toronto4 2010 69 ALP ≤ 1.67 ULN Paris 25 2011 165 ALP ≤ 1.5 x ULN and AST ≤ 1.5 x ULN and bilirubin ≤ 1 mg/dl Japan6 2011 138

GGT normalization or > 70% reduction

1Parés, Gastroenterology, 2006. 2Corpechot, Hepatology, 2008. 3Kuiper, Gastroenterology, 2009. 4Kumagi, the American

Journal of Gastroenterology, 2010. 5Corpechot, Journal of Hepatology, 2011 6Azamoto, Hepatology Research, 2011

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SLIDE 10

UK PBC

  • individual patient data
  • from all UK centers
  • N >6000 PBC patients
  • genetic data, prospective lifestyle data

Global PBC Study Group

  • individual patient data
  • N >6000 PBC patients, 30.000 patient

visits, >20 years follow-up

  • 21 sites in Europe, North America, Asia

f

a rare disease from to gigantic databases

Da Databan banks

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SLIDE 11

Bioch chem emical r respon

  • nse c

e criter eria a associated w with improved l liver er t transplantati tion f free ee s survival

Hansen, Data Global PBC Study Group

Hazard Ratio (HR) = 1.6 (1.4-1.9) C-stat = 0.67 HR = 4.1 (3.5-5.0) C-stat = 0.77 HR = 4.0 (3.3-5.0) C-stat = 0.75 HR = 2.8 (2.3-3.4) C-stat = 0.71 HR = 2.7 (2.3-3.4) C-stat = 0.72

Barcelona Paris1 Rotterdam Paris2 Toronto Responders Non- responders

FU years - 1 year 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1 Cum Survival (%)

100 90 80 70 60 50 40 30 20 10

HR = 2.3 GGT 70% reduction

GGT, N = 1700

slide-12
SLIDE 12

What Makes a a Goo

  • od S

Surrogate E Endpoin int?

  • Frequently observed
  • Assessed within a short timeframe
  • Easy to measure
  • Preferably non-invasive and at low costs
  • Epidemiology/clincal studies

demonstrates that surrogate endpoints is linked to clinical outcomes

  • Clinical trials demonstrate that treatment

effects on the surrogate endpoint correspond to effects on the clinical

  • utcome

Boissel JP et al. Eur J Clin Pharm 1992;43:235-44 Espeland MA et al. Current controlled trials in Cardiovascular Med 2005;6:3-6

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SLIDE 13

Bilirubin

Key diagnostic variable for liver detoriation Numerous studies showing prognostic significance of bilirubin Component of established prognostic models:

  • Mayo model
  • MELD score
  • Child-Pugh score

Alkaline phosphatase

Key diagnostic variable Mutiple studies indicating prognostic significance Component of Paris I & II, Barcelona, Toronto established criteria

Useful as surrogate endpoint?

Biomarker er endpoints

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SLIDE 14
  • Biomarker often continuous:
  • threshold ?
  • magnitude of efficacy ?
  • % difference ?
  • Biomarker response measured

at one fixed time point

  • which time point ?
  • durability/sustainable response ?
  • What is the impact on the true endpoint
  • in the natural history of disease ?
  • association and mechanism of action?
  • Is ‘biomarker response’ = level 3 ‘surrogate’ endpoint ?
  • influence independent of therapies (depends on mode of action)
  • biomarker endpoint influenced through other pathways

Challe llenges in asses essin ing d drug effic ficacy cy b by uti tiliz lizin ing biomarker e r endpoints i s in clinical s studies

ALP ≥ 1.67

Normal bilirubin Abnormal bilirubin

ALP < 1.67 ALP < 1.67 ALP ≥ 1.67

Lammers et al, Gastroenterology 2014

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SLIDE 15

Hi Higher ALP LP and b bilir lirubin v values a are a associa

  • ciated w

with th higher hazard of

  • f l

liver tr transpla lantatio ion/d /death

Alkaline phosphatase (ALP) Bilirubin

1 2 3 4 2 4 6

ALP (xULN) values after 1 year follow-up Hazard ratio

1 2 3 4 2 4 6

Bili (xULN) values after 1 year follow-up Hazard ratio

ALP: lower is better Bilirubin <1xULN threshold

Lammers et al., Gastroenterology 2014 1.0 1.5 2.0 2.5 3.0 0.60 0.65 0.70 0.75 0.80

1.67xULN

ALP (xULN) values after 1 year follow-up c-statistics

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SLIDE 16

Zoomin ing i in on A ALP LP belo elow 2 2 and n nor

  • rmal b

l bilir lirubin in

Murillo et al., AASLD 2017; Murillo et al., AASLD 2018

A lk a lin e p h o s p h a ta s e (× U L N ) H a z a rd ra tio fo r tra n s p la n ta tio n o r d e a th (9 5 % C I)

2 3 2 3 4 1 1 1.67

B iliru b in (× U L N ) H a z a rd ra tio fo r tra n s p la n ta tio n o r d e a th (9 5 % C I)

0 .0 0 .5 1 .0 1 .5 1 2 3 4 5 6 0 .7 1

T im e 0 c o h o rt

Abnormal

Alkaline phosphatase (ALP) Bilirubin ALP: lower is better Bilirubin: > 0.6 - 0.7 at higher risk

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SLIDE 17

Des esign of

  • f Risk S

Scores: c : com

  • mbinatio

ion o

  • f biomarkers
slide-18
SLIDE 18

Des esign of

  • f Risk S

Scores: G : Globe s scor

  • re

Lammers et al., Gastroenterology 2015 http://globalpbc.com/globe

50th percentile 100

These patients could potentially benefit of additional therapies HR globe score > threshold = 4.5 C-stat = 0.82

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SLIDE 19

Globe-scor

  • re f

e for PBC – use a e as dynamic ic r risk s scor

  • re

Regulatory Agencies

Goet et al. JHep 2017

Patient example

  • 67 years at start of UDCA
  • Bilirubin&albumin normal at

0 and 12 months

  • GLOBE score threshold

passed at 7 years

  • † (liver-related) after 11.5

years follow-up Mobile App

HR time dependent = 3.5 (2.9-4.1) C-stat > 0.81

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SLIDE 20

Established Respon

  • nse C

e Criteria i in UD UDCA t trea eated ed P PBC

Bilirubin ALP AST (ALT) Albumin GGT Platelets Barcelona 1

Paris I2

  

Paris II3

 

Rotterdam4

 

Toronto5

Mayo6

 

Ehemi7

APRI8

 

UK9

    

GLOBE10

   

  • 1. Parés, Gastroenterology 2006; 2. Corpechot, Hepatology 2008; 3. Corpechot;,J Hep 2011; 4. Kuiper, Gastroenterology

2009; 5. Kumagi, Am J Gastroenterol 2010; 6. Momah, Liver Int 2011; 7. Azemoto 2011 Hepatology Research; 8 Trivedi, J Hep 2014; Zhang. Hepatology, 2013. 9. Carbone, Hepatology 2014; 10. Lammers, Gastroenterology 2014

slide-21
SLIDE 21

Phase 3 3 cu current t intermedia iate en endpoin ints

Duration: 1 year POISE1 – trial Inclusion: ALP>1.67 OR abnormal bilirubin Response: ALP<=1.67, min. 15 % reduction compared to baseline AND normal bilirubin BEZURSO2 - trial Inclusion: Non-responder according to Paris I Response: normal bilirubin, normal ALP, AST, ALT, albumin and PT

1Nevens et al ; NEJM 2016; 2Corpechot at al; NEJM 2018

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SLIDE 22

Phase 3 3 interm rmedi diate e endp dpoints: e emerging alter ernati tives es

Do we need new response definitions ?

Minimum requirement: level 3 endpoint; a non-validated surrogate, yet one established to be “reasonably likely to predict clinical benefit”

  • Use the created path: ALP≤1.67 AND min 15 % reduction AND normal bilirubin
  • Further use of ALP and bilirubin: lower than 1 for bilirubin; ALP lower than 1.67
  • Other bicemical tests: GGT, AST, platelets, Albumin depends on the mode of action of the

intervention

  • Risk scores: Mayo / MELD score, APRI, FIB4, UK, GLOBE
  • Fibroscan / Fibrotest / imaging/ histology
  • Combinations of above
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SLIDE 23

Summa mary

  • We are on the right track
  • Use of other associated biomarkers as surrogate endpoints need

additional attention

  • Validation of potential new surrogate endpoints, also in cohorts

treated with other drugs than UDCA

  • Use of biomarkers in a dynamic model to update patient profile
  • Use of biomarkers/fibroscan/fibrotest to replace histology and

define disease stage and progression

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SLIDE 24

Discu cussio ion

  • What should be the standard for alkaline phosphatase normalization?
  • 1xULN, 1.5, 1.67 ?
  • 15% reduction - 40% reduction ?
  • What are the most important secondary endpoints?
  • Fibroscan, …

Stop treatment

  • When should new drugs be stopped ?
  • Assessment of a stopping-rule
  • Stop if no benefit on life expectancy ?