CPT Pharmacometrics & Systems Pharmacology,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 22, 2024
Abstract
Time‐dependent
pharmacokinetics
(TDPK)
is
a
frequent
confounding
factor
that
misleads
exposure‐response
(ER)
analysis
of
therapeutic
antibodies,
where
decline
in
clearance
results
increased
drug
exposure
over
time
patients
who
respond
to
therapy,
causing
false‐positive
ER
finding.
The
object
our
simulation
study
was
explore
the
influence
clinical
trial
designs
on
frequency
findings.
Two
previously
published
population
PK
models
representative
slow‐
(pembrolizumab)
and
fast‐onset
(rituximab)
TDPK
were
used
simulate
virtual
patient
cohorts
with
time‐dependent
impact
varying
number
dose
groups,
range,
sample
size
evaluated
time.
Study
single
tested
level
showed
high
probability
showing
When
has
slow
onset,
use
measures
from
early
timepoints
significantly
reduces
risk
false‐positive,
while
fast
onset
it
did
not.
Randomization
two
levels
greatly
reduced
risk,
threefold
or
greater
range
offering
greatest
benefit.
likelihood
increases
larger
size,
care
should
be
taken
identify
factors.
Clinical
supports
appropriate
design
adequate
exploration
can
reduce
but
cannot
entirely
eliminate
misleading
CPT Pharmacometrics & Systems Pharmacology,
Journal Year:
2023,
Volume and Issue:
13(5), P. 691 - 709
Published: Nov. 16, 2023
Project
Optimus
is
a
US
Food
and
Drug
Administration
Oncology
Center
of
Excellence
initiative
aimed
at
reforming
the
dose
selection
optimization
paradigm
in
oncology
drug
development.
This
project
seeks
to
bring
together
pharmaceutical
companies,
international
regulatory
agencies,
academic
institutions,
patient
advocates,
other
stakeholders.
Although
there
much
promise
this
initiative,
are
several
challenges
that
need
be
addressed,
including
multidimensionality
problem
oncology,
heterogeneity
cancer
patients,
importance
evaluating
long-term
tolerability
beyond
dose-limiting
toxicities,
lack
reliable
biomarkers
for
efficacy.
Through
lens
Totality
Evidence
with
mindset
model-informed
development,
we
offer
insights
into
by
building
quantitative
knowledge
base
integrating
diverse
sources
data
leveraging
modeling
tools
build
evidence
dosage
considering
exposure,
disease
biology,
efficacy,
toxicity,
factors.
We
believe
rational
can
achieved
improving
outcomes
maximizing
therapeutic
benefit
while
minimizing
toxicity.
Cancer Drug Resistance,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 8, 2025
Metabolic
reprogramming
within
the
tumor
microenvironment
(TME)
plays
a
critical
role
in
driving
drug
resistance
gastrointestinal
cancers
(GI),
particularly
through
pathways
of
fatty
acid
oxidation
and
glycolysis.
Cancer
cells
often
rewire
their
metabolism
to
sustain
growth
reshape
TME,
creating
conditions
such
as
nutrient
depletion,
hypoxia,
acidity
that
impair
antitumor
immune
responses.
Immune
TME
also
undergo
metabolic
alterations,
frequently
adopting
immunosuppressive
phenotypes
promote
progression
reduce
efficacy
therapies.
The
competition
for
essential
nutrients,
glucose,
between
cancer
compromises
functions
effector
cells,
T
cells.
Additionally,
by-products
like
lactate
kynurenine
further
suppress
activity
populations,
including
regulatory
M2
macrophages.
Targeting
glycolysis
presents
new
opportunities
overcome
improve
therapeutic
outcomes
GI
cancers.
Modulating
these
key
has
potential
reinvigorate
exhausted
shift
toward
phenotypes,
enhance
effectiveness
immunotherapies
other
treatments.
Future
strategies
will
require
continued
research
into
metabolism,
development
novel
inhibitors,
clinical
trials
evaluating
combination
Identifying
validating
biomarkers
be
crucial
patient
stratification
treatment
monitoring.
Insights
may
have
broader
implications
across
multiple
types,
offering
avenues
improving
treatment.
Clinical Pharmacology & Therapeutics,
Journal Year:
2024,
Volume and Issue:
116(3), P. 531 - 545
Published: May 16, 2024
The
landscape
of
oncology
drug
development
has
witnessed
remarkable
advancements
over
the
last
few
decades,
significantly
improving
clinical
outcomes
and
quality
life
for
patients
with
cancer.
Project
Optimus,
introduced
by
U.S.
Food
Drug
Administration,
stands
as
a
groundbreaking
endeavor
to
reform
dose
selection
drugs,
presenting
both
opportunities
challenges
field.
To
address
complex
optimization
challenges,
an
Oncology
Dose
Optimization
IQ
Working
Group
was
created
characterize
current
practices,
provide
recommendations
improvement,
develop
toolkit,
engage
Health
Authorities.
Historically,
cytotoxic
chemotherapeutics
focused
on
maximum
tolerated
dose,
paradigm
that
is
less
relevant
targeted
therapies
new
treatment
modalities.
A
survey
conducted
this
group
gathered
insights
from
member
companies
regarding
industry
practices
in
optimization.
Given
effort
multidimensional
high
failure
rates
due
lack
clinically
efficacy,
advocates
case‐by‐case
approach
inform
timing,
specific
quantitative
targets,
strategies
optimization,
depending
factors
such
disease
characteristics,
patient
population,
mechanism
action,
including
associated
resistance
mechanisms,
therapeutic
index.
This
white
paper
highlights
evolving
nature
impact
need
tailored
evidence‐based
optimize
dosing
regimens
effectively.
Refining
dose
projections
requires
a
deep
understanding
of
drug-target
relationships
at
the
site
action,
which
is
often
challenging
to
achieve.
Here
we
present
case
study
how
one
can
refine
for
TIGIT-targeted
immunotherapy
by
leveraging
information
from
well-studied
PD-1
pathway
since
co-expression
and
TIGIT
on
immune
cells
provides
unique
opportunity
extrapolate
data
target
inform
dosing
strategy
other.
We
develop
fit-for-purpose
mathematical
model
that
captures
experimentally
observed
relationship
between
concentration
mouse
antagonist
in
plasma
engagement
within
tumor
microenvironment
(TME).
then
assess
applicability
this
elucidate
drug
tiragolumab,
an
anti-TIGIT
antibody,
across
various
doses.
This
analysis
aims
our
dose-response
targeting
TIGIT,
critical
step
optimizing
therapeutic
efficacy,
without
conducting
additional
experiments.
The
approach
extended
project
efficacious
doses
M6223,
another
using
established
model,
M6223
clinical
PK
PD
data,
as
well
virtual
population
analysis.
work
possible
framework
refining
via
quantitative
estimation
action
relationships.
Through
extrapolating
well-characterized
pathway,
offer
method
optimization
strategies
with
limited
model-informed
development.
The Journal of Clinical Pharmacology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 11, 2025
Abstract
Compared
to
traditional
small
molecule
drugs,
monoclonal
antibodies
(mAbs)
often
display
more
complex
pharmacokinetic
(PK)
and
pharmacodynamic
(PD)
properties
that
may
be
impacted
by
disease‐specific
factors.
For
mAbs
in
non‐oncology
indications,
where
the
same
drug
might
used
for
conditions
involving
different
organ
systems
and/or
having
degrees
of
severity,
need
indication‐specific
dosing
tailored
dose
evaluation
strategies
is
evident.
However,
a
comprehensive
analysis
on
this
topic
has
not
been
conducted
approved
therapies.
In
work,
we
extracted
literature
information
past
20
years
provide
exploration
new
indications.
Our
included
21
with
50
supplemental
approvals
Indication‐specific
was
prevalent,
15
out
recommended
regimens
across
two
or
The
majority
indications
were
supported
Phase
2
dose‐ranging
studies
3
evaluated
than
one
regimen.
Importantly,
our
uncovered
relationship
between
dosing,
strategies,
system
classification
original
versus
indication.
We
delved
into
justification
supporting
including
types
data
modeling
approaches
considered.
Through
case
studies,
highlighted
factors
influence
selection
such
as
target
expression
levels,
disease
benefit–risk
profile.
Lastly,
made
practical
recommendations
regarding
optimization
clinical
development
multiple
Drug
dose
appropriateness
is
one
of
the
most
discussed
issues
in
regulatory
reviews.
We
analyzed
determinations
during
Food
and
Administration
(FDA)
drug
reviews
to
determine
whether
there
were
changes
between
proposed
approved
doses
new
molecular
entities
(NMEs),
including
cases
where
postmarketing
dose‐finding
studies
requested,
explored
factors
associated
with
these
decisions.
Of
218
eligible
NMEs
2018
2022,
28
drugs
(13%)
had
modifications
or
requested
additional
assessments,
20
which
a
lower
(“downward,”
9.2%)
five
higher
(“upward,”
2.3%).
Multinomial
logistic
regression
analysis
suggested
that
products
used
Accelerated
Approval
program
more
likely
undergo
downward
modification
(relative
risk
ratio
(RRR)
=
5.73).
In
addition,
fact
dose/exposure–response
relationship
was
observed
for
safety,
but
not
efficacy,
an
increased
probability
(RRR:
4.27).
contrast,
use
pharmacodynamic
biomarkers
setting
designation
Priority
Review
decreased
probabilities
change
0.405
0.195,
respectively).
Infectious
disease
went
through
upward
than
those
other
therapeutic
categories.
This
study
revealed
“optimization”
occurs
FDA's
review
approval
only
product
characteristics
also
related
process
are
decisions
modify
question
dose,
suggesting
considerations
presence
compelling
evidence
restrictions
data
availabilities.