JCO Clinical Cancer Informatics,
Journal Year:
2021,
Volume and Issue:
5, P. 709 - 718
Published: July 1, 2021
Early
discontinuation
affects
more
than
one
third
of
patients
enrolled
in
early-phase
oncology
clinical
trials.
is
deleterious
both
for
the
patient
and
study,
by
inflating
its
duration
associated
costs.
We
aimed
at
predicting
successful
screening
dose-limiting
toxicity
period
completion
(SSD)
from
automatic
analysis
consultation
reports.We
retrieved
reports
included
phase
I
and/or
II
trials
any
tumor
type
Gustave
Roussy,
France.
designed
a
preprocessing
pipeline
that
transformed
free
text
into
numerical
vectors
gathered
them
semantic
clusters.
These
document-based
were
then
fed
machine
learning
model
we
trained
to
output
binary
prediction
SSD
status.Between
September
2012
July
2020,
56,924
used
build
dictionary
1,858
or
inclusion
train
(72%),
validate
(14%),
test
(14%)
random
forest
model.
Preprocessing
could
efficiently
cluster
words
with
proximity.
On
unseen
cohort
264
reports,
performances
reached:
F1
score
0.80,
recall
0.81,
area
under
curve
0.88.
Using
this
model,
have
reduced
screen
fail
rate
(including
period)
39.8%
12.8%
(relative
risk,
0.322;
95%
CI,
0.209
0.498;
P
<
.0001)
within
cohort.
Most
important
clusters
predictions
comprised
related
hematologic
malignancies,
anatomopathologic
features,
laboratory
imaging
interpretation.Machine
conservation
promising
tool
assist
physicians
selecting
prone
achieve
Journal of Hematology & Oncology,
Journal Year:
2020,
Volume and Issue:
13(1)
Published: July 16, 2020
Abstract
Cancer
is
a
complex
disease
in
which
both
genetic
defects
and
microenvironmental
components
contribute
to
the
development,
progression,
metastasization
of
disease,
representing
major
hurdles
identification
more
effective
safer
treatment
regimens
for
patients.
Three-dimensional
(3D)
models
are
changing
paradigm
preclinical
cancer
research
as
they
closely
resemble
tissue
environment
architecture
found
clinical
tumors
than
bidimensional
(2D)
cell
cultures.
Among
3D
models,
spheroids
organoids
represent
most
versatile
promising
that
capable
recapitulating
heterogeneity
pathophysiology
human
cancers
filling
gap
between
conventional
2D
vitro
testing
animal
models.
Such
systems
powerful
tool
studying
biology,
enabling
us
model
dynamic
evolution
neoplastic
from
early
stages
metastatic
dissemination
interactions
with
microenvironment.
Spheroids
have
recently
been
used
field
drug
discovery
personalized
medicine.
The
combined
use
could
potentially
improve
robustness
reliability
data,
reducing
need
favoring
their
transition
practice.
In
this
review,
we
summarize
recent
advances
these
modeling,
focusing
on
innovative
translational
applications,
looking
at
future
challenges,
comparing
them
widely
Materials,
Journal Year:
2019,
Volume and Issue:
12(18), P. 2945 - 2945
Published: Sept. 11, 2019
The
ideal
in
vitro
recreation
of
the
micro-tumor
niche—although
much
needed
for
a
better
understanding
cancer
etiology
and
development
anticancer
therapies—is
highly
challenging.
Tumors
are
complex
three-dimensional
(3D)
tissues
that
establish
dynamic
cross-talk
with
surrounding
through
chemical
signaling.
An
extensive
body
experimental
evidence
has
established
3D
culture
systems
more
closely
recapitulate
architecture
physiology
human
solid
tumors
when
compared
traditional
2D
systems.
Moreover,
conventional
fail
to
recreate
dynamics
tumor
niche.
Tumor-on-chip
systems,
which
microfluidic
devices
aim
relevant
features
physiology,
have
recently
emerged
as
powerful
tools
research.
In
tumor-on-chip
use
microfluidics
adds
another
dimension
physiological
mimicry
by
allowing
continuous
feed
nutrients
(and
pharmaceutical
compounds).
Here,
we
discuss
published
literature
related
tumor-like
(tumor-on-chip
devices).
Our
is
provide
readers
an
overview
state
art
on
this
particular
theme
illustrate
toolbox
available
today
engineering
structures
their
environments)
devices.
suitability
increasing
many
areas
research,
including
study
tumors,
screening
novel
compounds
before
resourcing
animal
models,
personalized
treatments.
years
come,
additive
manufacturing
(3D
bioprinting
printing),
computational
fluid
dynamics,
medium-
high-throughput
omics
will
become
enablers
new
wave
sophisticated
effective
Biomedicines,
Journal Year:
2023,
Volume and Issue:
11(4), P. 1058 - 1058
Published: March 30, 2023
In
the
last
decades
three-dimensional
(3D)
in
vitro
cancer
models
have
been
proposed
as
a
bridge
between
bidimensional
(2D)
cell
cultures
and
vivo
animal
models,
gold
standards
preclinical
assessment
of
anticancer
drug
efficacy.
3D
can
be
generated
through
multitude
techniques,
from
both
immortalized
lines
primary
patient-derived
tumor
tissue.
Among
them,
spheroids
organoids
represent
most
versatile
promising
they
faithfully
recapitulate
complexity
heterogeneity
human
cancers.
Although
their
recent
applications
include
screening
programs
personalized
medicine,
not
yet
established
tools
for
studying
efficacy
supporting
preclinical-to-clinical
translation,
which
remains
mainly
based
on
experimentation.
this
review,
we
describe
state-of-the-art
evaluation
agents,
focusing
potential
contribution
to
replace,
reduce
refine
experimentations,
highlighting
strength
weakness,
discussing
possible
perspectives
overcome
current
challenges.
The Journal of Experimental Medicine,
Journal Year:
2020,
Volume and Issue:
217(10)
Published: Aug. 4, 2020
Recently,
a
transcriptome-based
consensus
molecular
subtype
(CMS)
classification
of
colorectal
cancer
(CRC)
has
been
established,
which
may
ultimately
help
to
individualize
CRC
therapy.
However,
the
lack
animal
models
that
faithfully
recapitulate
different
subtypes
impedes
adequate
preclinical
testing
stratified
therapeutic
concepts.
Here,
we
demonstrate
constitutive
AKT
activation
in
intestinal
epithelial
cells
markedly
enhances
tumor
invasion
and
metastasis
Trp53ΔIEC
mice
(Trp53ΔIECAktE17K)
upon
challenge
with
carcinogen
azoxymethane.
Gene-expression
profiling
indicates
Trp53ΔIECAktE17K
tumors
resemble
human
mesenchymal
(CMS4),
is
characterized
by
poorest
survival
rate
among
four
CMSs.
are
Notch3
up-regulation,
treatment
NOTCH3-inhibiting
antibody
reduces
metastasis.
In
patients,
NOTCH3
expression
correlates
positively
grading
presence
lymph
node
as
well
distant
metastases
specifically
up-regulated
CMS4
tumors.
Therefore,
suggest
putative
target
for
advanced
patients.
Nature Communications,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: Aug. 30, 2024
Due
to
low
success
rates
and
long
cycles
of
traditional
drug
development,
the
clinical
tendency
is
apply
omics
techniques
reveal
patient-level
disease
characteristics
individualized
responses
treatment.
However,
heterogeneous
form
data
uneven
distribution
targets
make
discovery
precision
medicine
a
non-trivial
task.
This
study
takes
pyroptosis
therapy
for
triple-negative
breast
cancer
(TNBC)
as
paradigm
uses
mining
large
TNBC
cohort
databases
establish
biofactor-regulated
neural
network
rapidly
screening
optimizing
compound
pairs.
Subsequently,
biomimetic
nanococrystals
are
prepared
using
preferred
combination
mitoxantrone
gambogic
acid
rational
delivery.
The
unique
mechanism
obtained
regulating
genes
through
ribosomal
stress
triggering
cascade
immune
effects
revealed
in
models.
In
this
work,
target
omics-based
intelligent
framework
explores
an
innovative
development
paradigm,
which
repurposes
existing
drugs
enables
precise
treatment
refractory
diseases.
Frontiers in Oncology,
Journal Year:
2022,
Volume and Issue:
11
Published: Jan. 6, 2022
Randomized
controlled
trials
(RCTs)
that
assess
overall
survival
are
considered
the
“gold
standard”
when
evaluating
efficacy
and
safety
of
a
new
oncology
intervention.
However,
single-arm
use
surrogate
endpoints
(e.g.,
objective
response
rate
or
duration
response)
to
evaluate
clinical
benefit
have
become
basis
for
accelerated
breakthrough
regulatory
approval
precision
drugs
cases
where
target
research
populations
relatively
small.
Interpretation
in
can
be
challenging
because
such
studies
lack
standard-of-care
comparator
arm.
Although
an
external
control
group
based
on
data
from
other
trials,
using
collected
outside
trial
may
not
only
offer
alternative
both
RCTs
uncontrolled
but
it
also
help
improve
decision-making
by
study
sponsors
authorities.
Hence,
leveraging
real-world
(RWD)
construct
arms
investigate
drug
interventions
has
topic
interest.
Herein,
we
review
benefits
challenges
associated
with
RWD
groups,
relevance
early
development.