PeerJ Computer Science,
Год журнала:
2024,
Номер
10, С. e2520 - e2520
Опубликована: Дек. 23, 2024
Advanced
machine
learning
(ML)
and
deep
(DL)
methods
have
recently
been
utilized
in
Drug
Response
Prediction
(DRP),
these
models
use
the
details
from
genomic
profiles,
such
as
extensive
drug
screening
data
cell
line
data,
to
predict
response
of
drugs.
Comparatively,
DL-based
prediction
approaches
provided
better
features.
However,
prior
knowledge,
like
pathway
is
sometimes
discarded
irrelevant
since
datasets
are
multidimensional
noisy.
Optimized
feature
extraction
processes
suggested
handle
this
problem.
First,
noise
class
imbalance
problems
must
be
tackled
avoid
low
identification
accuracy,
long
times,
poor
applicability.
This
article
aims
apply
Non-Negativity-Constrained
Auto
Encoder
(NNCAE)
network
tackle
issues,
enhance
adaptive
search
for
optimal
size
sliding
windows,
ensure
that
architectures
adept
at
vital
hidden
NNCAE
methodology
used
after
performing
standard
pre-processing
procedures
balanced
noise-removed
input
features
learned
train
proposed
hybrid
classifier.
The
classification
model,
Golden
Eagle
Optimization-based
Convolutional
Long
Short-Term
Memory
neural
networks
(GEO-Conv-LSTM),
assembled
by
integrating
Neural
Network
CNN
LSTM
models,
with
parameter
tuning
performed
GEO
algorithm.
Evaluations
conducted
on
two
large
Genomics
Sensitivity
Cancer
(GDSC)
repository,
NNCAE-GEO-Conv-LSTM-based
approach
has
achieved
96.99%
97.79%
accuracies,
respectively,
reduced
processing
time
error
rate
DRP
iScience,
Год журнала:
2024,
Номер
27(6), С. 109979 - 109979
Опубликована: Май 15, 2024
This
review
explores
the
hallmarks
of
cancer
resistance,
including
drug
efflux
mediated
by
ATP-binding
cassette
(ABC)
transporters,
metabolic
reprogramming
characterized
Warburg
effect,
and
dynamic
interplay
between
cells
mitochondria.
The
role
stem
(CSCs)
in
treatment
resistance
regulatory
influence
non-coding
RNAs,
such
as
long
RNAs
(lncRNAs),
microRNAs
(miRNAs),
circular
(circRNAs),
are
studied.
chapter
emphasizes
future
directions,
encompassing
advancements
immunotherapy,
strategies
to
counter
adaptive
integration
artificial
intelligence
for
predictive
modeling,
identification
biomarkers
personalized
treatment.
comprehensive
exploration
these
provides
a
foundation
innovative
therapeutic
approaches,
aiming
navigate
complex
landscape
enhance
patient
outcomes.
Military Medical Research,
Год журнала:
2025,
Номер
12(1)
Опубликована: Фев. 11, 2025
Abstract
Cancer
recurrence,
driven
by
the
phenomenon
of
tumor
dormancy,
presents
a
formidable
challenge
in
oncology.
Dormant
cancer
cells
have
ability
to
evade
detection
and
treatment,
leading
relapse.
This
review
emphasizes
urgent
need
comprehend
dormancy
its
implications
for
recurrence.
Despite
notable
advancements,
significant
gaps
remain
our
understanding
mechanisms
underlying
lack
reliable
biomarkers
predicting
provides
comprehensive
analysis
cellular,
angiogenic,
immunological
aspects
dormancy.
It
highlights
current
therapeutic
strategies
targeting
dormant
cells,
particularly
combination
therapies
immunotherapies,
which
hold
promise
preventing
By
elucidating
these
proposing
innovative
research
methodologies,
this
aims
deepen
ultimately
facilitating
development
more
effective
recurrence
improving
patient
outcomes.
International Journal of Molecular Sciences,
Год журнала:
2025,
Номер
26(5), С. 1868 - 1868
Опубликована: Фев. 21, 2025
The
phosphoinositide
3-kinase
(PI3K)/AKT/mammalian
target
of
the
rapamycin
(mTOR)
pathway
plays
a
crucial
role
in
regulation
autophagy,
cellular
mechanism
vital
for
homeostasis
through
degradation
damaged
organelles
and
proteins.
dysregulation
this
is
significantly
associated
with
cancer
progression,
metastasis,
resistance
to
therapy.
Targeting
PI3K/AKT/mTOR
signaling
presents
promising
strategy
treatment;
however,
traditional
therapeutics
frequently
encounter
issues
related
nonspecific
distribution
systemic
toxicity.
Nanoparticle-based
drug
delivery
systems
represent
significant
advancement
addressing
these
limitations.
Nanoparticles
enhance
bioavailability,
stability,
targeted
therapeutic
agents,
facilitating
precise
modulation
autophagy
cells.
Functionalized
nanoparticles,
such
as
liposomes,
polymeric
metal-based
nanocarriers,
facilitate
tumor
tissues,
minimizing
off-target
effects
improving
efficacy.
These
can
deliver
multiple
agents
concurrently,
enhancing
PI3K/AKT/mTOR-mediated
oncogenic
pathways.
This
review
examines
advancements
nanoparticle-mediated
that
pathway,
emphasizing
their
contribution
precision
side
integration
nanotechnology
molecularly
therapies
substantial
potential
resistance.
Future
initiatives
must
prioritize
optimization
clinical
translation
patient
outcomes.
PIK3CA
gene
mutations
have
been
identified
in
various
malignancies,
but
the
prevalence
of
specific
and
their
role
breast
cancer
development
remain
uncertain.
This
study
aimed
to
investigate
clinicopathological
significance
prognostic
impact
cancer.
Five
common
(H1047R
H1047L
exon
20,
E542K,
E545K,
E545D
9)
were
patients
using
amplification
refractory
mutation
system
(ARMS)
allele-specific
PCR.
The
examined
relationships
between
these
clinicopathologic
factors,
such
as
age,
HR
status,
Her2
lymph
node
involvement,
distant
metastasis,
stage,
progression-free
survival
(PFS).
A
total
40
female
included
this
study.
Twenty
detected,
with
12
located
20
8
9.
most
frequent
was
H1047R
present
11
(14.8%).
more
commonly
observed
+
(P
<
0.05).
No
significant
correlation
found
or
Ki-67
expression.
Database
analysis
from
cBioPortal
online
database
showed
that
median
PFS
(95%CI)
unaltered
group
[22.93
(17.25–48.30)
months]
higher
than
altered
[12.98
(8.18–18.14)
months].
In
study,
mutant-type
[13.00
(10.56–15.45)
had
lower
wild-type
[25.00
(13.46–36.55)
all
patients,
difference
=
0.004).
Further,
compared
wild-type,
associated
poor
addition,
positive
Our
data
public
research
show
is
a
change
cancer,
shorter
all,
patients.
confirmed
important
Bioinformatics and Biology Insights,
Год журнала:
2025,
Номер
19
Опубликована: Янв. 1, 2025
Introduction:
Breast
cancer
(BC)
is
a
heterogeneous
disease
involving
network
of
numerous
extracellular
signal
transduction
pathways.
The
phosphoinositide
3-kinase
(PI3K)/serine/threonine
kinase
(Akt)/mechanistic
target
rapamycin
(mTOR)
pathway
crucial
for
understanding
the
BC
development.
Phosphoinositide
3-kinase,
phosphatase
and
tensin
homolog
(PTEN),
mTOR,
Akt,
3-phosphoinositide-dependent
1
(PDK1),
FoxO1,
glycogen
synthase
3
(GSK-3),
mouse
double
minute
2
(MDM2),
H-Ras,
proapoptotic
B-cell
lymphoma
(BCL-2)
family
protein
(BAD)
proteins
are
key
drivers
this
potential
therapeutic
targets.
Pleurotus
ostreatus
an
edible
mushroom
that
rich
in
flavonoids
phenols
can
serve
as
inhibitors
PI3K/Akt/mTOR
pathway.
Aim:
This
study
evaluated
anticancer
properties
P
through
structure-based
virtual
screening
22
biologically
active
compounds
present
mushroom.
Method:
Model
optimization
was
carried
out
on
PI3K,
PTEN,
PDK1,
GSK-3,
MDM2,
BAD
molecular
docking
compounds/control
binding
pocket
were
simulated
AutoDock
Vina
PyRx.
drug
likeness,
pharmacokinetic,
pharmacodynamic
features
prospective
leads
all
anticipated.
Result:
Several
potent
selected
driver
identified
from
ostreatus.
Ellagic
acid
with
affinities
−8.0,
−8.1,
−8.2,
−6.2,
−7.1
kcal/mol
BAD,
respectively,
had
better
affinity
compared
their
reference
drugs.
Likewise,
apigenin
(−7.8
kcal/mol),
chrysin
quercetin
(−6.4
chlorogenic
(−6.2
kcal/mol)
to
H-Ras
proteins,
respectively.
Conclusion:
acid,
apigenin,
luteolin,
quercetin,
chrysin,
naringenin
phytochemicals
seen
lead
molecules
due
ability
strongly
bind
under
Analogs
these
also
be
designed
Biochemical Pharmacology,
Год журнала:
2025,
Номер
unknown, С. 116850 - 116850
Опубликована: Март 1, 2025
Breast
cancer
(BC)
is
a
complex
disease
that
affects
millions
of
women
worldwide.
Its
growing
impact
calls
for
advanced
treatment
strategies
to
improve
patient
outcomes.
The
PI3K/AKT/mTOR
pathway
key
focus
in
BC
therapy
because
it
plays
major
role
important
processes
like
tumor
growth,
survival,
and
resistance
treatment.
Targeting
this
could
lead
better
options
present
review
explores
how
the
becomes
dysregulated
BC,
focusing
on
genetic
changes
PIK3CA
mutations
PTEN
loss
leads
its
aggravation.
Current
include
use
inhibitors
targeting
PI3K,
AKT,
mTOR
with
combination
therapies
showing
promise
overcoming
drug
improving
effectiveness.
Looking
ahead,
next-generation
personalized
plans
guided
by
biomarker
analysis
may
provide
more
accurate
effective
patients.
Integrating
these
immunotherapy
offers
an
exciting
opportunity
boost
anti-tumor
responses
survival
rates.
This
comprehensive
summary
current
progress
BC.
It
highlights
future
research
directions
therapeutic
aimed
at
enhancing
outcomes
quality
life.