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M A K I N G T H E C O M P L E X S E A M L E S S
AGENDA
• Rationale for application of cardiac biomarkers in clinical trials
• Gaining efficiencies in clinical trials with biomarkers
• Lessons learned in HF trials utilizing biomarkers and strategies to
mitigate operational challenges
• Q&A
1
James Januzzi, MD Kelly Millhaem, MHA
Richard Lee, MD Liz Moore, DNP, MSN,
CPNP-AC, CPN
RATIONALE FOR
BIOMARKERS
IN CV TRIALS
M A K I N G T H E C O M P L E X S E A M L E S S
AIM OF BIOMARKERS IN CV TRIALS
3
Efficacy Endpoints – identify
quantitative response to study
treatment
Diagnostic Tool
Eligibility Criteria –
establish baseline
characteristics
Safety Endpoints – markers of
myocardial injury & toxicity
Prognostic Indicators
Match IMP with mechanism-based
biological effect
M A K I N G T H E C O M P L E X S E A M L E S S
THE DOUBLE-EDGED SWORD OF BIOMARKERS
4
Predictive population enrichment
Risk-based Stratification
Efficacy Endpoints Early POC
Safety Monitoring
Higher screen fails
Alternative biological sources
Biomarker assay availability & variability
Limitations of current biomarkers – NP, cTn
M A K I N G T H E C O M P L E X S E A M L E S S
HYPOTHETICAL TRIAL
5
Biomarkers
In CV Trial
Inclusion
• Men or women 18-85 years with documented HFrEF
• NT-proBNP >300 pg/mL at SCR
• On Guideline-Directed Medical Treatment
• Afib allowable if adequately anti-coagulated
“ToughREF” Trial
• Phase IIa, open-label, POC exploratory trial
• 40 Subjects with HFrEF in 12 sites
• Hypothetical IP: “IM-007”
Primary Objective
• To evaluate effect of a 16-week treatment with IP on cardiac PD, as determined by TTE assessments and cardiac
biomarkers in stable chronic HFrEF subjects.
Primary Endpoint
• Change from baseline to Week 16 in LVEF and NT-proBNP
M A K I N G T H E C O M P L E X S E A M L E S S
HYPOTHETICAL TRIAL
6
“ToughREF”
Trial
Challenges
• SFR of 65% with 2/3 of SF due to inadequate NT-proBNP at SCR
• Only 4 sites had reliable databases
• 30% enrolled patients on sacubitril/valsartan
• 25% enrolled patients on chronic Afib
• Large splay in NT-proBP levels from 320 pg/mL to 2,200 pg/mL
Interim Analysis
• 50% of patients finished treated with evaluable data
• Inconsistent changes in NT-proBNP at Week 16 compared to baseline
• Trend to improvement in mean LVEF of 3.5% at Week 16 compared to baseline, not statistically significant
GAINING EFFICIENCIES
IN CLINICAL TRIALS
WITH BIOMARKERS
M A K I N G T H E C O M P L E X S E A M L E S S
WHAT ARE THE CURRENT STRENGTHS OF
CARDIAC MARKERS IN TRIALS?
8
Januzzi et al, JACC 2021;77:1922-33
M A K I N G T H E C O M P L E X S E A M L E S S
WHAT IS THE CURRENT STATE OF MARKER
USE IN HF TRIALS?
9
Use of biomarkers has grown
exponentially in clinical trials
of HF, for example
Januzzi et al, JACC 2021;77:1922-33
M A K I N G T H E C O M P L E X S E A M L E S S
WHEN MIGHT BIOMARKERS BE USED?
10
Markers may have a broad
range of applications, however
significant caveats apply…
Januzzi et al, JACC 2021;77:1922-33
M A K I N G T H E C O M P L E X S E A M L E S S
WHAT IS NEEDED IN ORDER TO USE
BIOMARKERS IN TRIALS?
• It is striking how often
biomarkers are used with
tenuous links to the things
being monitored…
• Examples:
‒ change in NPs x benefit
in HF
‒ Change in troponin x
toxicity
11
Januzzi et al, JACC 2021;77:1922-33
M A K I N G T H E C O M P L E X S E A M L E S S
CHALLENGES FACED WHEN BIOMARKERS
ARE USED IN TRIALS
12
Januzzi et al, JACC 2021;77:1922-33
Variable sampling strategies
Variable storage strategies
“Save samples and we’ll figure it out retrospectively”
Ambiguity regarding link between biomarker and pathology
The “Usual Suspect” syndrome
M A K I N G T H E C O M P L E X S E A M L E S S
THE USUAL SUSPECTS
The same 2 biomarkers can
NOT inform everything we
do in clinical trials!
Where is the imagination
and inductive science?
13
troponin
troponin NT-proBNP troponin NT-proBNP
M A K I N G T H E C O M P L E X S E A M L E S S
WHAT IS NEEDED TO FACILITATE A MORE
FUNCTIONAL FUTURE STATE
14
Januzzi et al, JACC 2021;77:1922-33
Earlier consideration of the place a
biomarker plays in compound
development—the “biomarker Phase 2”
Close Industry/Regulatory relationship
Routine sample acquisition and storage
protocols
Optimization of assay performance and
standardization of cut-offs
Global collaboration and establishment
of biobanks
M A K I N G T H E C O M P L E X S E A M L E S S
RATHER THAN FOCUS ON THE USUAL SUSPECTS,
THINK ABOUT MARKERS EARLIER
15
Recent data using inductive
statistical methods applied to
omics databases have identified
unique drug-marker pairs and
potential druggable targets
Michelhaugh and Januzzi, JACC BTS, 2020;5:1043-53
M A K I N G T H E C O M P L E X S E A M L E S S
ULTIMATELY, THE FUTURE STATE COULD
LOOK LIKE THIS:
16
The future state could be a
broad ranging combination
of new or discovered
proteomic-based markers
with other omics and
clinical data for superior
prediction of response and
improved prognosis
Januzzi et al, JACC 2021;77:1922-33
STRATEGIES TO
MITIGATE OPERATIONAL
CHALLENGES
M A K I N G T H E C O M P L E X S E A M L E S S
CARDIAC BIOMARKERS & TRIAL EXECUTION
18
Target Patient
Population
cTnT
BNP
cTnI
How do we balance the scientific needs of
clinical trials with study execution?
M A K I N G T H E C O M P L E X S E A M L E S S
CASE STUDY: ENROLLMENT IMPACT
# Screened # Enrolled
Indication: Heart Failure
Challenge: Lack of enrollment
due to strict entry criteria
Strategy: Proactive collaboration
between medical and operational
teams to revise criteria while
preserving scientific integrity of trial
Outcome: Successful and on-time
enrollment of trial
M A K I N G T H E C O M P L E X S E A M L E S S
CARDIAC BIOMARKERS: ENROLLMENT
• “Tier” screening procedures to reduce invasive procedures & cost
• Pre-screen testing for specific biomarkers
• Use of historical values as guide
• Permit repeat testing during screening phase, within reason
• Provide guidance for time of day, fasting conditions
• Discuss potential challenges during site feasibility and selection
process
20
LAB DRAWS IMAGING FUNCTIONAL TESTING
M A K I N G T H E C O M P L E X S E A M L E S S
SITE ENGAGEMENT - ENROLLMENT
21
Target sites that utilize CV
biomarker testing in SOC practice
Site education materials,
Identification of the ‘right’ patient
Database mining
M A K I N G T H E C O M P L E X S E A M L E S S
MONITORING AND ASSESSING SAFETY RISK
22
PROTOCOL DESIGN
• Specify assay types
• High sensitivity vs.
standard assays
• BNP versus NT-
proBNP
• Streamline testing
• Serial collections at
baseline or during trial
• Include additional
safety assessments
where possible (PE,
Vitals, ECG, etc)
SITE TRAINING
• Laboratory collection
best practices
• Split sample shipping
• Sample collection
timing
• Timely data entry of
medical history, AE
and medications
EVALUATION
• Interpretation of results
• Not every biomarker
predicts risk
• Confounding variables
• Consideration of
factors that
increase/decrease
circulating
concentrations
QUALITY
OVERSIGHT & RISK
MANAGEMENT
•Cumulative trend review
•Routine Clinical Data
Reviews
•Identify missing or
inadequate collections
M A K I N G T H E C O M P L E X S E A M L E S S
SHARPENING THE EDGE OF CV BIOMARKERS
23
Balancing the “pros”
& “cons” of
biomarkers in drug
development
Understanding the
strengths and
weaknesses of
current biomarkers
Adapting the
application of
biomarkers during
study and avoidance
of common pitfalls
“Building a better
biomarker.”
Development of
better biomarker(s)
to predict response
to therapy and to
target the right study
population
DISCUSSION AND Q/A
THANK YOU

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Wielding the Double-Edge Sword of Cardiac Biomarkers in Clinical Trials: A Discussion with Dr. James Januzzi, MD

  • 1. M A K I N G T H E C O M P L E X S E A M L E S S AGENDA • Rationale for application of cardiac biomarkers in clinical trials • Gaining efficiencies in clinical trials with biomarkers • Lessons learned in HF trials utilizing biomarkers and strategies to mitigate operational challenges • Q&A 1 James Januzzi, MD Kelly Millhaem, MHA Richard Lee, MD Liz Moore, DNP, MSN, CPNP-AC, CPN
  • 3. M A K I N G T H E C O M P L E X S E A M L E S S AIM OF BIOMARKERS IN CV TRIALS 3 Efficacy Endpoints – identify quantitative response to study treatment Diagnostic Tool Eligibility Criteria – establish baseline characteristics Safety Endpoints – markers of myocardial injury & toxicity Prognostic Indicators Match IMP with mechanism-based biological effect
  • 4. M A K I N G T H E C O M P L E X S E A M L E S S THE DOUBLE-EDGED SWORD OF BIOMARKERS 4 Predictive population enrichment Risk-based Stratification Efficacy Endpoints Early POC Safety Monitoring Higher screen fails Alternative biological sources Biomarker assay availability & variability Limitations of current biomarkers – NP, cTn
  • 5. M A K I N G T H E C O M P L E X S E A M L E S S HYPOTHETICAL TRIAL 5 Biomarkers In CV Trial Inclusion • Men or women 18-85 years with documented HFrEF • NT-proBNP >300 pg/mL at SCR • On Guideline-Directed Medical Treatment • Afib allowable if adequately anti-coagulated “ToughREF” Trial • Phase IIa, open-label, POC exploratory trial • 40 Subjects with HFrEF in 12 sites • Hypothetical IP: “IM-007” Primary Objective • To evaluate effect of a 16-week treatment with IP on cardiac PD, as determined by TTE assessments and cardiac biomarkers in stable chronic HFrEF subjects. Primary Endpoint • Change from baseline to Week 16 in LVEF and NT-proBNP
  • 6. M A K I N G T H E C O M P L E X S E A M L E S S HYPOTHETICAL TRIAL 6 “ToughREF” Trial Challenges • SFR of 65% with 2/3 of SF due to inadequate NT-proBNP at SCR • Only 4 sites had reliable databases • 30% enrolled patients on sacubitril/valsartan • 25% enrolled patients on chronic Afib • Large splay in NT-proBP levels from 320 pg/mL to 2,200 pg/mL Interim Analysis • 50% of patients finished treated with evaluable data • Inconsistent changes in NT-proBNP at Week 16 compared to baseline • Trend to improvement in mean LVEF of 3.5% at Week 16 compared to baseline, not statistically significant
  • 7. GAINING EFFICIENCIES IN CLINICAL TRIALS WITH BIOMARKERS
  • 8. M A K I N G T H E C O M P L E X S E A M L E S S WHAT ARE THE CURRENT STRENGTHS OF CARDIAC MARKERS IN TRIALS? 8 Januzzi et al, JACC 2021;77:1922-33
  • 9. M A K I N G T H E C O M P L E X S E A M L E S S WHAT IS THE CURRENT STATE OF MARKER USE IN HF TRIALS? 9 Use of biomarkers has grown exponentially in clinical trials of HF, for example Januzzi et al, JACC 2021;77:1922-33
  • 10. M A K I N G T H E C O M P L E X S E A M L E S S WHEN MIGHT BIOMARKERS BE USED? 10 Markers may have a broad range of applications, however significant caveats apply… Januzzi et al, JACC 2021;77:1922-33
  • 11. M A K I N G T H E C O M P L E X S E A M L E S S WHAT IS NEEDED IN ORDER TO USE BIOMARKERS IN TRIALS? • It is striking how often biomarkers are used with tenuous links to the things being monitored… • Examples: ‒ change in NPs x benefit in HF ‒ Change in troponin x toxicity 11 Januzzi et al, JACC 2021;77:1922-33
  • 12. M A K I N G T H E C O M P L E X S E A M L E S S CHALLENGES FACED WHEN BIOMARKERS ARE USED IN TRIALS 12 Januzzi et al, JACC 2021;77:1922-33 Variable sampling strategies Variable storage strategies “Save samples and we’ll figure it out retrospectively” Ambiguity regarding link between biomarker and pathology The “Usual Suspect” syndrome
  • 13. M A K I N G T H E C O M P L E X S E A M L E S S THE USUAL SUSPECTS The same 2 biomarkers can NOT inform everything we do in clinical trials! Where is the imagination and inductive science? 13 troponin troponin NT-proBNP troponin NT-proBNP
  • 14. M A K I N G T H E C O M P L E X S E A M L E S S WHAT IS NEEDED TO FACILITATE A MORE FUNCTIONAL FUTURE STATE 14 Januzzi et al, JACC 2021;77:1922-33 Earlier consideration of the place a biomarker plays in compound development—the “biomarker Phase 2” Close Industry/Regulatory relationship Routine sample acquisition and storage protocols Optimization of assay performance and standardization of cut-offs Global collaboration and establishment of biobanks
  • 15. M A K I N G T H E C O M P L E X S E A M L E S S RATHER THAN FOCUS ON THE USUAL SUSPECTS, THINK ABOUT MARKERS EARLIER 15 Recent data using inductive statistical methods applied to omics databases have identified unique drug-marker pairs and potential druggable targets Michelhaugh and Januzzi, JACC BTS, 2020;5:1043-53
  • 16. M A K I N G T H E C O M P L E X S E A M L E S S ULTIMATELY, THE FUTURE STATE COULD LOOK LIKE THIS: 16 The future state could be a broad ranging combination of new or discovered proteomic-based markers with other omics and clinical data for superior prediction of response and improved prognosis Januzzi et al, JACC 2021;77:1922-33
  • 18. M A K I N G T H E C O M P L E X S E A M L E S S CARDIAC BIOMARKERS & TRIAL EXECUTION 18 Target Patient Population cTnT BNP cTnI How do we balance the scientific needs of clinical trials with study execution?
  • 19. M A K I N G T H E C O M P L E X S E A M L E S S CASE STUDY: ENROLLMENT IMPACT # Screened # Enrolled Indication: Heart Failure Challenge: Lack of enrollment due to strict entry criteria Strategy: Proactive collaboration between medical and operational teams to revise criteria while preserving scientific integrity of trial Outcome: Successful and on-time enrollment of trial
  • 20. M A K I N G T H E C O M P L E X S E A M L E S S CARDIAC BIOMARKERS: ENROLLMENT • “Tier” screening procedures to reduce invasive procedures & cost • Pre-screen testing for specific biomarkers • Use of historical values as guide • Permit repeat testing during screening phase, within reason • Provide guidance for time of day, fasting conditions • Discuss potential challenges during site feasibility and selection process 20 LAB DRAWS IMAGING FUNCTIONAL TESTING
  • 21. M A K I N G T H E C O M P L E X S E A M L E S S SITE ENGAGEMENT - ENROLLMENT 21 Target sites that utilize CV biomarker testing in SOC practice Site education materials, Identification of the ‘right’ patient Database mining
  • 22. M A K I N G T H E C O M P L E X S E A M L E S S MONITORING AND ASSESSING SAFETY RISK 22 PROTOCOL DESIGN • Specify assay types • High sensitivity vs. standard assays • BNP versus NT- proBNP • Streamline testing • Serial collections at baseline or during trial • Include additional safety assessments where possible (PE, Vitals, ECG, etc) SITE TRAINING • Laboratory collection best practices • Split sample shipping • Sample collection timing • Timely data entry of medical history, AE and medications EVALUATION • Interpretation of results • Not every biomarker predicts risk • Confounding variables • Consideration of factors that increase/decrease circulating concentrations QUALITY OVERSIGHT & RISK MANAGEMENT •Cumulative trend review •Routine Clinical Data Reviews •Identify missing or inadequate collections
  • 23. M A K I N G T H E C O M P L E X S E A M L E S S SHARPENING THE EDGE OF CV BIOMARKERS 23 Balancing the “pros” & “cons” of biomarkers in drug development Understanding the strengths and weaknesses of current biomarkers Adapting the application of biomarkers during study and avoidance of common pitfalls “Building a better biomarker.” Development of better biomarker(s) to predict response to therapy and to target the right study population

Editor's Notes

  1. Is this meant to be a double image?
  2.  Refer to JJ’s Paradigm of the Future in CV Biomarkers