Clinical Trials,
Год журнала:
2019,
Номер
16(6), С. 645 - 656
Опубликована: Авг. 26, 2019
In
our
2009
article,
we
showed
that
Bayesian
methods
had
established
a
foothold
in
developing
therapies
institutional
oncology
trials.
this
will
document
what
has
happened
since
time.
addition,
describe
barriers
to
implementing
clinical
trials,
as
well
experience
overcoming
them.We
reviewed
MD
Anderson
Cancer
Center
trials
submitted
the
protocol
office
for
scientific
and
ethical
review
between
January
December
2013,
same
length
time
period
previous
article.
We
tabulated
implemented
design
or
analyses
each
trial
then
compared
these
findings.Overall,
identified
1020
found
283
(28%)
components
so
designated
them
Among
Anderson-only
multicenter
56%
14%,
respectively,
were
Bayesian,
higher
rates
than
study.
more
common
phase
I/II
(34%)
III/IV
(6%)
most
commonly
used
features
toxicity
monitoring
(65%),
efficacy
(36%),
dose
finding
(22%).
The
majority
(86%)
of
non-informative
priors.
A
total
75
(27%)
applied
primary
endpoint
analysis.
latter
group,
logistic
regression
model
(N
=
22),
continual
reassessment
method
20),
adaptive
randomization
16).
Median
board
approval
from
submission
was
1.4
months
non-Bayesian
Since
publication,
Biomarker-Integrated
Approaches
Targeted
Therapy
Lung
Elimination
(BATTLE)
first
large-scale
decision
combining
multiple
treatments
single
trial.
then,
two
regimens
breast
cancer
therapy
have
been
published
cooperative
Investigation
Serial
Studies
Predict
Your
Therapeutic
Response
with
Imaging
Molecular
Analysis
(I-SPY
2),
enhancing
cooperation
among
investigators
drug
developers
across
nation,
advancing
information
needed
personalized
medicine.
Many
software
programs
Shiny
applications
calculations
are
available
website
which
21,000
downloads
worldwide
2004.Bayesian
increased
flexibility
medicine,
resulting
researchers
working
fight
against
cancer.
Some
disadvantages
remain,
but
new
improve
their
function
incorporation
into
research.
Exploration of Targeted Anti-tumor Therapy,
Год журнала:
2024,
Номер
5(2), С. 409 - 431
Опубликована: Апрель 25, 2024
Colorectal
cancer
(CRC)
is
a
heterogeneous
disease.
Conventional
two-dimensional
(2D)
culture
employing
cell
lines
was
developed
to
study
the
molecular
properties
of
CRC
in
vitro.
Although
these
which
are
isolated
from
tumor
niche
develop,
translation
human
model
such
as
studying
drug
response
often
hindered
by
inability
recapture
original
features
and
lack
clinical
tumors
represented
this
2D
model,
differed
vivo
condition.
These
limitations
may
be
overcome
utilizing
three-dimensional
(3D)
consisting
spheroids
organoids.
Over
past
decade,
great
advancements
have
been
made
optimizing
method
establish
organoids
solid
including
for
multiple
purposes
screening
establishing
personalized
medicine.
structures
proven
versatile
robust
models
progression
deciphering
its
heterogeneity.
This
review
will
describe
on
advances
3D
technology
application
well
challenges
CRC-derived
mode
screen
anticancer
drugs.
Clinical Pharmacology & Therapeutics,
Год журнала:
2021,
Номер
110(1), С. 200 - 209
Опубликована: Янв. 19, 2021
Despite
numerous
publications
emphasizing
the
value
of
dose
finding,
drug
development
in
oncology
is
dominated
by
mindset
that
higher
provides
efficacy.
Examples
finding
implemented
biopharmaceutical
firms
can
change
this
mindset.
The
purpose
article
to
outline
a
pragmatic
selection
strategy
for
immuno-oncology
(IO)
and
other
targeted
monoclonal
antibodies
(mAbs).
approach
was
pembrolizumab.
Selecting
recommended
phase
II
(RP2D)
with
novel
mechanism
action
often
challenging
due
uncertain
relationships
between
pharmacodynamics
measurements
clinical
end
points.
Additionally,
I
efficacy
safety
data
are
generally
inadequate
RP2D
IO
mAbs.
Here,
estimated
based
on
(clinical
study
KN001
A
A2)
pharmacokinetics
as
required
target
saturation,
which
represents
surrogate
maximal
pharmacological
effect
antagonist
Due
limitations
associated
collecting
analyzing
tumor
biopsies,
characterizing
intratumoral
engagement
(TE)
challenging.
To
overcome
gap,
physiologically-based
pharmacokinetic
model
predict
TE.
As
tumors
spatially
heterogeneous,
TE
predicted
well-vascularized
poorly
vascularized
regions.
impact
differences
expression,
example,
interindividual
variability
cancer
type,
simulated.
Simulations
showed
200
mg
every
3
weeks
achieve
≥
90%
clinically
relevant
scenarios,
resulting
recommendation
RP2D.
Randomized
comparison
studies
(KN001
B2
D)
showing
similar
over
fivefold
dose/exposure
range
confirmed
pivotal
dose.
Chinese Medical Journal,
Год журнала:
2021,
Номер
134(11), С. 1267 - 1275
Опубликована: Май 19, 2021
Immunotherapy
has
opened
a
new
era
in
cancer
treatment.
Drugs
represented
by
immune
checkpoint
inhibitors
have
led
to
important
breakthroughs
the
treatment
of
various
solid
tumors,
greatly
improving
survival
rate
patients.
Many
types
immunotherapeutic
drugs
become
widely
available;
however,
their
efficacy
is
variable,
and
relatively
few
patients
with
advanced
experience
life-altering
durable
survival,
reflecting
complex
highly
regulated
nature
system.
The
research
field
immunotherapy
(CIT)
still
faces
many
challenges
pursuing
broader
social
goal
"curing
cancer."
Increasing
attention
been
paid
strengthening
understanding
molecular
or
cellular
drivers
resistance
immunotherapy,
actively
exploring
more
effective
therapeutic
targets,
developing
combination
therapy
strategies.
Here,
we
review
key
that
emerged
CIT
possible
solutions
development
directions
overcome
these
difficulties,
providing
relevant
references
for
basic
modified
clinical
regimens.
Cells,
Год журнала:
2021,
Номер
10(7), С. 1657 - 1657
Опубликована: Июль 1, 2021
Cancer
is
a
disorder
characterized
by
an
uncontrollable
overgrowth
and
fast-moving
spread
of
cells
from
localized
tissue
to
multiple
organs
the
body,
reaching
metastatic
state.
Throughout
years,
complexity
cancer
progression
invasion,
high
prevalence
incidence,
as
well
rise
in
treatment
failure
cases
leading
poor
patient
prognosis
accounted
for
continuous
experimental
investigations
on
animals
cellular
models,
mainly
with
2D-
3D-cell
culture.
Nowadays,
these
research
models
are
considered
main
asset
reflect
physiological
events
many
types
terms
characteristics
features,
replication
mechanisms,
metabolic
pathways,
biomarkers
expression,
chemotherapeutic
agent
resistance.
In
practice,
based
perspective
hypothesis,
scientists
aim
choose
best
model
approach
their
understanding
prove
hypothesis.
Recently,
seen
be
highly
incorporated
crucial
tool
reflecting
true
cell
microenvironment
pharmacokinetic
pharmacodynamics
studies,
addition
intensity
anticancer
drug
response
pharmacogenomics
trials.
Hence,
this
review,
we
shed
light
unique
3D
favoring
its
promising
usage
through
comparative
other
specifically
2D-cell
Plus,
will
discuss
importance
direct
reflector
intrinsic
environment
newest
methods
available
3D-cells
implementation.
Pharmaceutical Statistics,
Год журнала:
2021,
Номер
20(4), С. 783 - 792
Опубликована: Март 2, 2021
When
a
sponsor
carries
out
single-arm
trial
of
novel
oncology
compound,
it
may
wish
to
assess
the
efficacy
compound
via
comparison
overall
survival
an
external
control
arm,
constructed
using
patients
included
in
some
retrospective
registry.
If
is
compared
physician's
choice
chemotherapy,
registry
might
qualify
for
inclusion
arm
at
multiple
different
points
time,
when
they
receive
chemotherapy
treatments.
For
example,
patient
start
their
second,
third
and
fourth
lines
therapy.
From
which
line
therapy
should
this
patient's
be
participants
trial?
Some
sponsors
have
elected
include
from
last
available
database.
Another
possibility
randomly
select
each
among
those
available.
In
paper,
we
show,
probabilistic
arguments
also
simulation
based
on
real
data,
that
both
these
methods
give
rise
bias
favor
trial.
We
further
show
can
avoided
by
instead
including
times
once
time
qualifying
treatment.
Heliyon,
Год журнала:
2022,
Номер
8(8), С. e10067 - e10067
Опубликована: Авг. 1, 2022
Sulfur-containing
compounds
are
considered
as
attractive
pharmacophores
for
discovery
of
new
drugs
regarding
their
versatile
properties
to
interact
with
various
biological
targets.
Quantitative
structure-activity
relationship
(QSAR)
modeling
is
one
well-recognized
in
silico
tools
successful
drug
discovery.
In
this
work,
a
set
38
sulfur-containing
derivatives
(Types
I-VI)
were
evaluated
vitro
anticancer
activities
against
6
cancer
cell
lines.
findings
indicated
that
compound
13
was
the
most
potent
cytotoxic
agent
toward
HuCCA-1
line
(IC50
=
14.47
μM).
Compound
14
exhibited
3
investigated
lines
(i.e.,
HepG2,
A549,
and
MDA-MB-231:
IC50
range
1.50-16.67
10
showed
best
activity
MOLT-3
1.20
μM)
whereas
22
noted
T47D
7.10
Subsequently,
six
QSAR
models
built
using
multiple
linear
regression
(MLR)
algorithm.
All
constructed
provided
reliable
predictive
performance
(training
sets:
Rtr
0.8301-0.9636
RMSEtr
0.0666-0.2680;
leave-one-out
cross
validation
RCV
0.7628-0.9290
RMSECV
0.0926-0.3188).
From
modeling,
chemical
such
mass,
polarizability,
electronegativity,
van
der
Waals
volume,
octanol-water
partition
coefficient,
well
frequency/presence
C-N,
F-F,
N-N
bonds
molecule
essential
key
predictors
compounds.
summary,
series
promising
fluoro-thiourea
(10,
13,
14,
22)
suggested
potential
molecules
future
development
agents.
Key
knowledge
obtained
from
be
advantageous
suggesting
effective
rational
design
related
improved
bioactivities
properties.
JNCI Journal of the National Cancer Institute,
Год журнала:
2022,
Номер
115(1), С. 14 - 20
Опубликована: Сен. 26, 2022
Abstract
As
precision
medicine
becomes
more
precise,
the
sizes
of
molecularly
targeted
subpopulations
become
increasingly
smaller.
This
can
make
it
challenging
to
conduct
randomized
clinical
trials
therapies
in
a
timely
manner.
To
help
with
this
problem
small
patient
subpopulation,
study
design
that
is
frequently
proposed
trial
(RCT)
intent
augmenting
RCT
control
arm
data
historical
from
set
patients
who
have
received
treatment
outside
(historical
data).
In
particular,
strategies
been
developed
compare
outcomes
across
cohorts
treated
standard
(control)
guide
use
analysis;
lessen
potential
well-known
biases
using
controls
without
any
randomization.
Using
some
simple
examples
and
completed
studies,
we
demonstrate
commentary
these
are
unlikely
be
useful
applications.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2025,
Номер
unknown
Опубликована: Март 2, 2025
ABSTRACT
Proteolysis-targeting
chimeras
(PROTACs),
a
pioneering
class
of
heterobifunctional
ligands,
have
emerged
as
transformative
tools
in
combating
cancer
and
immune-related
diseases
due
to
their
ability
target
previously
undruggable
proteins
overcome
drug
resistance.
Accurate
assessment
the
degradation
potential
PROTACs
is
essential
for
advancing
therapeutic
applications.
However,
development
robust
predictive
models
hindered
by
scarcity
large-scale
datasets
domain-specific
tools,
well
underutilization
existing
unlabeled
data.
To
address
these
challenges,
we
developed
an
innovative
method
called
AiPROTAC
predict
capacity
PROTACs.
In
particular,
integrates
graph
augmentation,
message-passing
enhanced
encoders
cross-attention
mechanisms
within
contrastive
learning
framework.
Moreover,
leverages
curated
specialized
dataset
combined
with
PROTAC-DB
enhance
prediction
accuracy.
Experimental
results
across
two
six
evaluation
metrics
demonstrate
that
consistently
outperforms
state-of-the-art
models.
Further
case
studies
underline
its
superior
sensitivity
reliability.
Notably,
facilitated
design
novel
androgen
receptor
(AR)
degrader,
PROTAC
GT19,
which
achieved
vitro
compared
Bavdegalutamide
(ARV-110).
This
advancement
highlights
our
AiPROTAC’s
accelerate
PROTAC-based
optimization.
Frontiers in Pharmacology,
Год журнала:
2025,
Номер
16
Опубликована: Март 25, 2025
Purpose
Bayesian
approaches
may
improve
the
efficiency
of
trials
and
accelerate
decision-making,
but
reluctance
to
depart
from
traditional
frequentist
statistics
limit
their
use.
Because
oncology
generally
involve
severe
conditions
with
no
or
limited
therapeutic
options,
they
are
well-suited
applying
methodologies
perceived
as
using
these
methods
often
in
early
phases.
Objectives
In
this
study,
we
aim
describe
use
designs
clinical
last
20
years.
Method
A
cross-sectional
observational
study
was
conducted
identify
registered
clinicaltrials.gov
between
2004
2024.
Trials
were
searched
,
PubMed,
through
manual
search
cross-references.
Results
retrieved,
main
characteristics
extracted
R
verified
manually.
Between
2024,
384,298
;
identified
84,850
(22%),
which
640
(0.75%)
used
approaches.
The
adoption
increased
significantly
after
2011,
while
half
all
studies
started
5
years,
paralleled
overall
increase
research
rather
than
an
proportion
trials.
majority
phase
1
2
studies,
two-thirds
efficacy
objectives
had
single-arm
designs,
utilizing
binary
endpoints,
such
response,
primary
measure.
Conclusion
uptake
has
flattened
is
still
scarce,
mostly
applied
analysis
treatment
endpoints.
There
room
for
further
potential
advantages
settings
small
populations
unmet
needs.