Current Pharmaceutical Design,
Год журнала:
2024,
Номер
30(19), С. 1519 - 1529
Опубликована: Май 1, 2024
Background:
To
investigate
the
effect
of
raltitrexed
+
X-ray
irradiation
on
esophageal
cancer
ECA109
cells
and
analyze
potential
action
mechanism
Methods:
The
3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium
bromide
(MTT)
assay
was
used
to
inhibitory
cell
proliferation.
radiosensitivity
studied
through
a
clone-forming
experiment.
scratch
invasion
test
were
performed
understand
migration
abilities.
apoptosis
rate
change
measured
using
flow
cytometer,
Western
Blotting
determine
expression
B
lymphoma-2
(Bcl-2)
Bcl2-associated
X
protein
(Bax)
in
each
group.
Results:
Raltitrexed
significantly
inhibited
proliferation
time-dose-dependent
manner;
there
significant
differences
among
different
concentrations
times
action.
results
experiment
showed
sensitization
enhancement
ratio
1.65,
this
demonstrated
radiosensitization
effect.
After
combination
with
X-ray,
distance
shortened,
number
penetrating
membrane
reduced.
Conclusion:
can
inhibit
growth
has
Current Pharmaceutical Design,
Год журнала:
2024,
Номер
30(11), С. 841 - 858
Опубликована: Март 1, 2024
Abstract:
Among
the
primary
causes
of
mortality
in
today's
world
is
cancer.
Many
drugs
are
employed
to
give
lengthy
and
severe
chemotherapy
radiation
therapy,
like
nitrosoureas
(Cisplatin,
Oxaliplatin),
Antimetabolites
(5-fluorouracil,
Methotrexate),
Topoisomerase
inhibitors
(Etoposide),
Mitotic
(Doxorubicin);
such
treatment
associated
with
significant
adverse
effects.
Antitumor
antibiotics
have
side
effects
similar
radiotherapy.
Selenium
(Se)
an
essential
trace
element
for
humans
animals,
additional
Se
supplementation
required,
particularly
individuals
deficient
Se.
Due
its
unique
features
high
bioactivities,
selenium
nanoparticles
(SeNPs),
which
act
as
a
supplement
counter
deficiency,
recently
gained
worldwide
attention.
This
study
presented
safer
more
economical
way
preparing
stable
SeNPs.
The
researcher
has
assessed
antiproliferative
efficiency
SeNPs-based
paclitaxel
delivery
systems
against
tumor
cells
vitro
relevant
mechanistic
visualization.
SeNPs
stabilized
by
Pluronic
F-127
were
synthesized
studied.
properties
biological
activities
PTX-loaded
on
cancer
from
lungs,
breasts,
cervical,
colons.
In
one
study,
formulated
using
chitosan
(CTS)
polymer
then
incorporated
into
CTS/citrate
gel,
resulting
SeNPs-loaded
chitosan/citrate
complex;
another
CTS
was
used
synthesis
situated
loaded
nanoparticles.
These
formulations
found
be
successful
treatment.
Abstract
Machine
learning
(ML)
and
nanotechnology
interfacing
are
exploring
opportunities
for
cancer
treatment
strategies.
To
improve
therapy,
this
article
investigates
the
synergistic
combination
of
Graphene
Oxide
(GO)‐based
devices
with
ML
techniques.
The
production
techniques
functionalization
tactics
used
to
modify
physicochemical
characteristics
GO
specific
drug
delivery
explained
at
outset
investigation.
is
a
great
option
treating
because
its
natural
biocompatibility
capacity
absorb
medicinal
chemicals.
Then,
complicated
biological
data
analyzed
using
algorithms,
which
make
it
possible
identify
best
medicine
formulations
individualized
plans
depending
on
each
patient's
particular
characteristics.
study
also
looks
optimizing
predicting
interactions
between
carriers
cells
ML.
Predictive
modeling
helps
ensure
effective
payload
release
therapeutic
efficacy
in
design
customized
systems.
Furthermore,
tracking
outcomes
real
time
made
by
permit
adaptive
modifications
therapy
regimens.
By
medication
doses
settings,
not
only
decreases
adverse
effects
but
enhances
accuracy.
In
today's
health-conscious
era,
the
demand
for
continuous
and
personalized
health
monitoring
is
at
an
all-time
high.
Wearable
biosensors
play
a
pivotal
role
in
addressing
individuals'
increasing
concerns
about
their
well-being
by
enabling
of
vital
signs,
including
blood
pressure,
glucose
level,
temperature,
alongside
various
other
chemical
analytes,
offering
paradigm
shift
monitoring.
These
devices
hold
immense
potential
to
make
far-reaching
changes
healthcare
empower
individuals
take
control
well-being.
comprise
two
essential
components:
bioreceptor
recognizing
target
analytes
(such
as
enzymes,
antibodies,
nucleic
acids,
or
cells)
transducer
that
translates
biorecognition
events
into
measurable
signals,
employing
electrochemical,
optical,
thermal,
piezoelectric
mechanisms.
They
are
categorized
based
on
diagnostic
biofluids,
encompassing
epidermal
sweat
interstitial
fluid,
ocular
tears,
oral
cavity
saliva.
Diverse
materials
give
rise
biocompatible,
biodegradable,
self-healing
flexible
sensors,
playing
crucial
performance.
Biocompatible
materials,
such
hydrogels
polymers,
ensure
safe
comfortable
contact
with
skin
whereas
biodegradable
offer
sustainable
solution,
particularly
implantable
devices.
Meanwhile,
enhance
durability
longevity
wearable
biosensors.
adaptable
platforms,
lenses,
wrist
straps,
patches,
implants,
tattoos,
garments.
platforms
range
advantages,
unobtrusive
integration
daily
routines,
capabilities,
data
collection.
Recent
progress
highlights
advancements
electrochemical
optical
methods,
conductive
textiles,
patches
development
multiplexed
sensing
fully
integrated
which
encompass
power
supply
from
small-sized
battery
energy
harvesting
self-powering
wireless
electronics
processing
signal
transmission,
enhanced
artificial
intelligence
(AI)
machine
learning
(ML).
AI
ML
transforming
intelligent
systems.
algorithms
can
analyze
sensor
identify
patterns,
predict
trends,
provide
insights.
models
be
trained
large
datasets
improve
accuracy
analyte
detection
enable
early
disease
detection.
The
flexibility
stretchability
these
eliminate
need
bulky
instruments,
allowing
noninvasive
compatibility
human
body.
properties
allow
physiological
parameters
without
discomfort
restriction
movement.
microfluidic
technologies
holds
future
advancements.
Microfluidic
handle
small
volumes
fluids
high
precision,
sensitive
selective
This
synergistic
combination
promises
revolutionize
biosensing
applications.
Despite
remarkable
progress,
continue
face
challenges.
Ensuring
accuracy,
reliability,
stability
across
diverse
environmental
conditions
remains
critical
area
research.
Data
security
privacy
also
addressed.
Addressing
challenges
will
pave
way
widespread
adoption
preventive
medicine.
As
research
refine
devices,
poised
transform
healthcare,
medicine,
detection,
improved
outcomes.
ACS Omega,
Год журнала:
2025,
Номер
10(9), С. 8816 - 8831
Опубликована: Март 3, 2025
Early
diagnosis
of
cancer
can
significantly
contribute
to
improving
therapeutic
outcomes
and
enhancing
survival
rates
for
patients.
Polymer-based
biosensors
have
emerged
as
a
promising
tool
detection
due
their
high
sensitivity,
selectivity,
low
cost.
These
utilize
functionalized
polymers
in
different
parts
the
body
detect
biomarkers
biological
samples.
This
approach
offers
several
advantages
over
traditional
methods,
including
real-time
monitoring
noninvasive
while
maintaining
sensitivity
accuracy.
review
discusses
recent
advances
development
polymer-based
design,
fabrication,
performance.
The
essential
characteristics
biosensing
devices
are
presented,
along
with
examples
natural
synthetic
commonly
utilized
biosensors.
Furthermore,
strategies
employed
tailor
improve
applications
future
perspectives
application
also
highlighted.
Integrating
these
advancements
will
illuminate
potential
transformative
tools
early
management
cancer.
Current Pharmaceutical Design,
Год журнала:
2024,
Номер
30(12), С. 935 - 951
Опубликована: Март 29, 2024
Background:
Colon
cancer
is
a
common
tumor
in
the
gastrointestinal
tract
with
poor
prognosis.
According
to
research
reports,
ubiquitin-dependent
modification
systems
have
been
found
play
crucial
role
development
and
advancement
of
different
types
malignant
tumors,
including
colon
cancer.
However,
further
investigation
required
fully
understand
mechanism
ubiquitination
Methods:
We
collected
RNA
expression
matrix
E3
ubiquitin
ligase-related
genes
(E3RGs)
from
patients
adenocarcinoma
(COAD)
using
The
Cancer
Genome
Atlas
program
(TCGA).
“limma”
package
was
used
obtain
differentially
expressed
E3RGs
between
COAD
adjacent
normal
tissues.
Then,
univariate
COX
regression
least
absolute
shrinkage
selection
operator
(LASSO)
analysis
were
performed
construct
prognostic
signature
nomogram
model.
Afterward,
we
original
copy
number
variation
data
find
potential
somatic
mutation
employed
“pRRophetic”
investigate
disparity
effectiveness
chemotherapy
drugs
high
low-risk
groups.
RT-qPCR
also
implied
detect
mRNA
levels
Results:
A
total
137
E3RG3
screened
11
(CORO2B,
KCTD9,
RNF32,
BACH2,
RBCK1,
DPH7,
WDR78,
UCHL1,
TRIM58,
WDR72,
ZBTB18)
identified
for
construction
signatures.
Kaplan-Meier
curve
showed
worse
prognosis
risk
both
training
test
cohorts
(P
=
1.037e-05,
P
5.704e-03),
area
under
(AUC)
0.728
0.892
cohorts,
respectively.
Based
on
stratified
analysis,
this
11-
novel
attractive
model
independent
several
clinicopathological
parameters
(age,
sex,
stage,
TNM)
COAD.
DEGs
subjected
GO
KEGG
which
pathways
associated
progression.
These
included
cAMP
signaling
pathway,
calcium
Wnt
regulating
stem
cell
pluripotency,
proteoglycans
Additionally,
immune
infiltration
revealed
significant
differences
macrophages
M0,
T
cells
follicular
helper,
plasma
two
Conclusion:
developed
consisting
verified
providing
important
insights
into
survival
prediction
promising
targets
therapy.
