Knowledge,
Год журнала:
2024,
Номер
4(4), С. 557 - 570
Опубликована: Ноя. 18, 2024
Differentiated
thyroid
cancer
(DTC),
comprising
papillary
and
follicular
cancers,
is
the
most
prevalent
type
of
malignancy.
Accurate
prediction
DTC
crucial
for
improving
patient
outcomes.
Machine
learning
(ML)
offers
a
promising
approach
to
analyze
risk
factors
predict
recurrence.
In
this
study,
we
aimed
develop
predictive
models
identify
patients
at
an
elevated
recurrence
based
on
16
factors.
We
developed
six
ML
applied
them
dataset.
evaluated
using
Synthetic
Minority
Over-Sampling
Technique
(SMOTE)
with
hyperparameter
tuning.
measured
models’
performance
precision,
recall,
F1
score,
accuracy.
Results
showed
that
Random
Forest
consistently
outperformed
other
investigated
(KNN,
SVM,
Decision
Tree,
AdaBoost,
XGBoost)
across
all
scenarios,
demonstrating
high
accuracy
balanced
precision
recall.
The
application
SMOTE
improved
model
performance,
tuning
enhanced
overall
effectiveness.
Advanced Intelligent Systems,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 2, 2025
Materials
science
has
traditionally
relied
on
a
combination
of
experimental
techniques
and
theoretical
modeling
to
discover
develop
new
materials
with
desired
properties.
However,
these
processes
can
be
time‐consuming,
resource‐intensive,
often
limited
by
the
complexity
material
systems.
The
advent
artificial
intelligence
(AI),
particularly
machine
learning,
revolutionized
offering
powerful
tools
accelerate
discovery,
design,
characterization
novel
materials.
AI
not
only
enhances
predictive
properties
but
also
streamlines
data
analysis
in
like
X‐Ray
diffraction,
Raman
spectroscopy,
scanning
probe
microscopy,
electron
microscopy.
By
leveraging
large
datasets,
algorithms
identify
patterns,
reduce
noise,
predict
behavior
unprecedented
accuracy.
In
this
review,
recent
advancements
applications
across
various
domains
science,
including
synchrotron
studies,
microscopies,
metamaterials,
atomistic
modeling,
molecular
drug
are
highlighted.
It
is
discussed
how
AI‐driven
methods
reshaping
field,
making
discovery
more
efficient,
paving
way
for
breakthroughs
design
real‐time
analysis.
Frontiers in Pharmacology,
Год журнала:
2025,
Номер
16
Опубликована: Апрель 14, 2025
Introduction
Thyroid
cancer,
a
prevalent
endocrine
malignancy,
has
an
age-standardized
incidence
rate
of
9.1
per
100,000
people
and
mortality
0.44
as
2024.
Despite
significant
advances
in
precision
oncology
driven
by
large-scale
international
consortia,
gaps
persist
understanding
the
genomic
landscape
thyroid
cancer
its
impact
on
therapeutic
efficacy
across
diverse
populations.
Methods
To
address
this
gap,
we
performed
comprehensive
data
mining
silico
analyses
to
identify
pathogenic
variants
driver
genes,
calculate
allele
frequencies,
assess
deleteriousness
scores
global
populations,
including
African,
Amish,
Ashkenazi
Jewish,
East
South
Asian,
Finnish
non-Finnish
European,
Latino,
Middle
Eastern
groups.
Additionally,
pharmacogenomic
profiling,
drug
prescription,
clinical
trial
were
analyzed
prioritize
targeted
strategies.
Results
Our
analysis
examined
56,622
40
cancer-driver
genes
76,156
human
genomes,
identifying
5,001
known
predicted
oncogenic
variants.
Enrichment
revealed
critical
pathways
such
MAPK,
PI3K-AKT-mTOR,
p53
signaling,
underscoring
their
roles
pathogenesis.
High-throughput
validation
strategies
confirmed
actionable
alterations
RET,
BRAF,
NRAS,
KRAS,
EPHA7.
Ligandability
assessments
identified
these
proteins
promising
targets.
Furthermore,
our
findings
highlight
potential
inhibitors,
vandetanib,
dabrafenib,
selumetinib,
for
improving
treatment
outcomes.
Discussion
This
study
underscores
significance
integrating
insights
with
disparities
treatment.
The
identification
population-specific
targets
provides
foundation
advancing
oncology.
Future
efforts
should
focus
underrepresented
developing
prevention
strategies,
fostering
collaboration
ensure
equitable
access
testing
innovative
therapies.
These
initiatives
have
transform
care
align
broader
goals
personalized
medicine.
Journal of Clinical Medicine,
Год журнала:
2025,
Номер
14(9), С. 2898 - 2898
Опубликована: Апрель 23, 2025
Anaplastic
thyroid
carcinoma
(ATC)
is
the
rarest
and
most
aggressive
form
of
cancer,
marked
by
a
poor
prognosis
resistance
to
conventional
treatments.
Like
many
malignancies,
ATC
has
complex
genetic
landscape,
with
numerous
mutations
driving
tumor
initiation,
progression,
therapeutic
resistance.
However,
recent
advances
in
molecular
research
have
expanded
our
understanding
these
alterations,
paving
way
for
new
targeted
treatment
strategies.
Currently,
therapies
targeting
specific
mutations,
such
as
BRAF
MEK,
show
promise,
but
their
effectiveness
limited
patients
harboring
mutations.
To
explore
broader
possibilities,
we
conducted
comprehensive
literature
review
using
PubMed
database
Google
identify
studies
on
key
ATC.
By
leveraging
insights,
aim
highlight
potential
avenues
that
could
enhance
options
improve
patient
outcomes.
Journal of Enzyme Inhibition and Medicinal Chemistry,
Год журнала:
2024,
Номер
39(1)
Опубликована: Ноя. 19, 2024
In
this
work,
thirty
2,4-diarylaminopyrimidine-based
hydrazones
were
designed,
synthesised,
and
their
anti-thyroid
cancer
activity
explored.
The
majority
of
compounds
exhibit
moderate
to
excellent
cytotoxic
against
FAK
overexpressing
TPC-1
cells,
with
IC50
values
ranging
from
0.113
1.460
μM.
Among
them,
compound
14f
displayed
exceptional
anti-proliferative
effect
cells
(IC50
=
μM)
potent
inhibitory
potency
35
nM).
silico
studies
indicated
that
could
well
bind
(Focal
Adhesion
Kinase)
have
favourable
pharmacokinetic
profiles.
addition,
inhibit
the
phosphorylation
at
Tyr397,
Tyr576/577
Tyr925,
did
not
affect
expression
level
in
cells.
Compound
was
also
effective
inhibiting
proliferation
migration
thyroid
TPC-1.
Thus,
these
novel
4-arylaminopyrimidine
hydrazone
derivatives
exhibited
activities
through
inhibition
FAK.
Indian Journal of Endocrine Surgery and Research,
Год журнала:
2024,
Номер
19(1), С. 30 - 46
Опубликована: Июнь 17, 2024
Personalized
medicine
for
thyroid
cancer
(TC)
involves
tailoring
treatment
plans
based
on
a
patient's
specific
genetic
makeup
and
tumor
characteristics.This
effective
strategy
is
ultimately
improving
patient
outcomes
quality
of
life.Various
tyrosine
kinase
inhibitors,
serine/threonine
or
B-Raf
proto-oncogene
(BRAF)
mitogen-activated
protein
(MAPK/MEK)
neurotrophic
receptor
(NTRK)
fusion
rearranged
during
transfection
(RET)
vascular
endothelial
growth
factor
(VEGFR)
redifferentiating
agents,
immunotherapies
have
shown
promising
results
in
the
last
decade
since
their
introduction
treating
(ThyCa).These
agents
may
be
used
radioiodine
refractory
(RAIR)
differentiated
TC
(DTC),
disseminated,
recurrent,
residual
anaplastic
(ATC),
medullary
(MTC).They
hardly
any
contraindications.The
knowledge
safety
profile
has
expanded
with
more
use.They
tolerable
side
effects
occasionally
require
discontinuation
switching
to
other
agents.The
armamentarium
available
drugs
new
targets
rapidly
increasing
clinical
trials.Their
use
pregnancy,
risk
hematological
malignancy,
geographical
variations
availability
cost,
definitive
guidelines,
managing
drug
resistance
are
current
challenges.Advances
molecular
diagnosis,
artificial
intelligence,
scissors
completely
revolutionize
targeted
therapy
future.
Heliyon,
Год журнала:
2024,
Номер
10(13), С. e33411 - e33411
Опубликована: Июнь 21, 2024
The
past
few
years
have
witnessed
an
increasing
incidence
of
nodular
goiter
(NG),
with
a
well-documented
higher
prevalence
in
females
than
males.
This
gender
disparity
has
led
research
to
focus
primarily
on
female
subjects,
potentially
overlooking
common
pathogenic
mechanisms
both
sexes.
In
this
study,
we
investigated
the
shared
pathogenesis
NG
males
and
females.
Utilizing
rat
model
RNA
sequencing,
identified
differentially
expressed
genes
associated
disease.
We
further
validated
these
findings
normal
human
thyroid
cells
papillary
cancer
cells.
A
randomized
experiment
was
conducted
equal
numbers
male
rats
divided
into
control
groups.
established
using
propylthiouracil
various
assessments
such
as
ultrasonography,
index,
function,
histology
were
performed.
Transcriptome
analysis
revealed
numerous
upregulated
downregulated
Key
like
KDR,
FLT1,
PDGFB,
CAV1,
pathways
including
PI3K-Akt,
MAPK,
Ras,
fluid
shear
stress
atherosclerosis,
calcium
signaling,
Rap1
signaling
linked
Western
blot
immunofluorescence
confirmed
findings,
which
supported
by
cell-based
experiments.
conclusion,
our
suggest
that
abnormal
expression
specific
leading
irregular
cell
growth,
blood
vessel
formation,
inflammation
may
be
factors
