Transitioning to Clinical Drug Development
-
Upload
charles-oo -
Category
Documents
-
view
54 -
download
0
Transcript of Transitioning to Clinical Drug Development
1Charles Oo
OPTIMIZING THE TRANSITION FROM
THE NONCLINICAL TO CLINICAL
PHASES IN DRUG DEVELOPMENT
Charles Oo, PharmD, PhD
ABCP, [email protected]
2Charles Oo
Schematic Stages of Pharmaceutical Research &
Development
Divided into Nonclinical Design/Discovery and Clinical Development
Identify a disease
Isolate
Target
& Validation
(~2-5 years)
Lead compound identification and optimization
(~2-5 years)
Cell –based
and animal
testing
(~1-3 years)
Formulation
& Scale-up
Human clinical trials (~2-15 years)
FDA approval
(~2-3 years)
Sales/Marketing
Nonclinical Design/
DiscoveryClinical
Development
In Silico prediction
Adapted from the Modern Method of Drug Discovery slides of Kumar PR
3Charles Oo
Overview of Drug Development Strategies
With the recent technology and scientific progress, the pharmaceutical
industry has become quite proficient in rational drug design and
discovery at the nonclinical phase
However, application of rational drug development has not progressed
as quickly into clinical phase
The gap needs to be bridged, since clinical development represents at
least 70% of the total cost of drug development
Moreover, this situation is aggravated by a recently high attrition rate
Comprehensive understanding of the disease pathophysiology of
simpler nonclinical models is rare, while the development phase can
progress readily to the ‘complicated’ clinical stages with limited
disease insight. This exercise is analogy to throwing darts while being
blindfolded, hoping that one of the darts will stick
To be cost effective, multiple optimization and de-risking steps are
crucial and they should start early from the nonclinical phase
4Charles Oo
Drug DiscoveryOne way to “discover” drugs
http://ccc.chem.pitt.edu/wipf/index.html
5Charles Oo *Adapted from Milligan PA et al, Clin Pharmacol Ther 2013
Target site exposure & binding*: Insufficient characterization of the
exposure–response relationship and binding (affinity and duration) at
target site before progressing to late-stage development;
Target site systems pharmacology*: Insufficient knowledge of the
treatment effect in the complex/interactive biological systems of
specific target population;
Translational predictability, or evidence-based verification:
Subsequent to insufficiencies of the above 2 items, low confidence on
predictability, and lacking evidence of detection of drug efficacy in
clinical trials
Team experience in assessing efficacy/safety benefits: Insufficient
prior learning with the primary endpoints (often due to “learning” of
the historically established endpoints from previous studies) by
project team.
Perceived Causes of Drug Failure
6Charles Oo
Confidence in Target Site Exposure, Binding, and Pharmacology“Three Pillars of Survival”: target exposure (1), binding (2) and pharmacology
effects (3) in the in-vitro and in-vivo assessments in humans
Adapted from Morgan P, et al, Drug Discover Today 2012
Lo=low; Hi=high
Binding
confidence
7Charles Oo
MEASURABLE
RESULTS
COMPOUND
APPLIED
Complex
perturbation
of
interacting
systems
What is the mechanism of
action?
Why are we seeing toxicity?
What is the target site? Which biomarkers can be used?
Endless questions in drug development........
Adapted from the Slide of Elliston KO “Systems Pharmacology: An Application of Systems Biology”, Genstruct Inc.
How best to capture efficacy
& safety in a clinical trial?
What is the ideal population?
What is the dosing regimen
for target exposure/binding?
How to translate findings from
nonclinical?
What evidences for drug effects?
What is the extent of change
and variability?
8Charles Oo
Uniqueness of Each New Molecular Entity and its Systems
Pharmacology
Consider:
1. The distributive
hierarchy
(pharmacokinetics) of
drug molecule in
human body;
and
2. The propagation
schematics of drug
actions (efficacy and
safety;
pharmacodynamics) in
human body.
Adapted from Bai JPF, et al, Ann Rev Pharmacol Toxicol 53:451–73, 2013
9Charles Oo
Simplistic Starting Point for Small Molecules
‘Sweet Spot’ in Molecular Mass–logP Space for ‘Drug-likeness
Ideal ’lean’ molecules
Riskier ‘obese’ molecules
‘Obese’ molecules need design strategies to improve pharmacokinetics, reduce target promiscuity & toxicity
Adapted from Hann MM et al, Nat Rev Drug Dis 11:355-365, 2012
FURTHER INFORMATION
CheMBL database:
https://www.ebi.ac.uk/chembl The Binding
Database: http://www.bindingdb.org
SCORPIO website:
http://scorpio.biophysics.ismb.lon.ac.uk
PDBCal data set: http://www.pdbcal.org
SUPPLEMENTARY INFORMATION
See online article: S1 (figure) ALL LINKS
ARE ACTIVE IN THE ONLINE PDF
10Charles Oo
Two Remaining Hurdles in Drug Development:
Efficacy & Toxicity*
Strategy: improve the efficacy/toxicity ratio by starting from the ‘sweet spot’
Note:
Efficacy and toxicity hurdles
remain consistent in recent years
where pharmacokinetics (PK) hurdle is
essentially reduced
Adapted from an NIH White Paper by the QSP Workshop Group , 2011
11Charles Oo
Multiple Parameters for Toxicity AssessmentSimilar parameters could also be applied to efficacy assessment
Source: Modi S. et al., Drug Discovery Today 17 (3/4):135-142, 2012
12Charles Oo
13Charles Oo
The Success Rate of CNS Drug Development remains the
LowestTo facilitate CNS drug development, the following 4 cases are provided
● Potent activity: low to subnanomolar
● Highly selective
● Molecular weight <450
● Minimal hydrophobicity (clogP < 5)
● Number of H-bond donor < 3
● Number of H-bond acceptor < 7
● Number of rotatable bonds < 8
● H-bonds < 8
● pKa, neutral or basic with pKa 7.5–
10.5 (avoid acids)
● Polar surface area <60–70 A2
● >30-Fold margin between hERG IC50
and effective unbound plasma
concentration
● Metabolic stability: >80% remaining after
1 hour
● CYP enzyme inhibition:<50% at 30 M
● No significant CYP2D6 metabolism
● Not a potent CYP3A4 inducer
● Not an efficient P-glycoprotein substrate
(in vivo)
● Not a high-affinity serum albumin ligand
(Kd < 10 M)
● Aqueous solubility >60 g/ml
● Effective permeability >1x10-6cm/sec
Pajouhesh, NeuroRx, 2005
Case 1: Physicochemical attributes of a successful CNS
14Charles Oo
Case 2:
Mean (range) of physical & chemical properties of
CNS and non-CNS drugs
Pajouhesh, NeuroRx, 2005
15Charles Oo
Case 3
Some physicochemical properties vs. CNS penetration in mice
Bergstrom C, et al, Pharm Res 2012
16Charles Oo
Case 4
Brain: Plasma ratio (C5min) vs. LogD in mice
For the dataset,
substrate penetration
via:
(●)-- passive diffusion
(Δ)-- active influx
(∇)-- active efflux
(□)-- high plasma
protein bound
The linear regression line
is for CNS transfer via
passive diffusion
Bergstrom C et al, Pharm Res 2012
17Charles Oo
Summary of The Optimization Steps Establish a druggability database using internal and external sources,
including physicochemical properties and systems pharmacology
Implement earlier build-in attrition and de-risking processes, starting from the
nonclinical drug design/discovery phase
Enhance translational ability of in vitro systems/animal models by in-house
duplication, outside lab verification, and in using xenograft/transgenic cell-
lines/animals, and patient-derived induced pluripotent stem cells
Enhance team’s experience via therapeutic specialization, and continuous
education
Adopt cost-effective innovation in new technologies (eg, imaging, genomics,
micro-array/multiplex, virtual simulations)
Provide a formal, critical assessment of the benefits and risks at multiple
stages of drug development, to include
o Predictive biomarkers for both non-clinical and clinical phases
o Study target site exposure, binding sufficiency, and pharmacology at molecular
level in human disease condition
o In silico (computer) and in vivo correlation, and with evidence-based verifications
18Charles Oo
Importance of A Smooth Transition
from Medicinal Chemistry, Preclinical Pharmacology, ADMET,
and Other Fields to Clinical Development
With smooth seamless transition:
facilitate early clinical development
starting from first-in-human study to
efficacy trial, drug registration and
marketing
Without smooth transition:
unguided, leading to higher risks
in clinical development
Adapt from http://ccc.chem.pitt.edu/wipf/index.html
19Charles Oo
Questions and Comments?
Please forward to:
THANK YOU!!!