Research Square (Research Square),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Nov. 9, 2023
Abstract
Objective
The
objective
of
this
research
was
to
develop
and
validate
a
novel
prognostic
model
for
predicting
overall
survival
(OS)
in
patients
diagnosed
with
melanoma.
Methods
Based
on
data
(n
=
752)
from
melanoma
between
January
2017
December
2020
Chongqing
University
Cancer
Hospital
China,
we
randomly
divided
them
into
two
cohorts:
training
cohort
527)
validation
225)
7:3
ratio.
We
conducted
logistic
univariable
multivariable
analysis
identify
independent
risk
factors
OS
patients,
which
were
then
integrated
nomogram.
nomogram
internally
validated
ensure
its
reliabitly.
predictive
effectiveness
the
assessed
using
receiver
operating
characteristic
(ROC)
calibration
curve.
Decision
curve
(DCA)
curves
also
utilized
evaluate
model’
prediction
ability.
Results
A
total
752
included
analysis.
incorporated
seven
including
age,
basic-disease,
surgery,
tumor
node
metastasis
(TNM),
chemotherapy,
interleukin2,
lactate-dehydrogenase
(LDH).
C-indices
predict
1-,
3-,
5-
years
retes
0.704
(0.643–0.766),0.742
(0.685–0.799),0.740
(0.663–0.817)
cohort,
0.733
(0.647–0.818),0.714
(0.624–0.803),0.710
(0.591–0.830)
respectively.
showed
strong
agreement
actual
observations
probability
both
cohorts.
plots
DCA
demonstrated
excellent
concordance
predicted
probabilities.
Conclusions
developed
patients.
This
provided
reliable
user-friendly
approach
forecast
outcomes
individuals
application
innovative
has
potential
facilitate
personalized
early
detection
treatment
strategies,
thereby
benefiting
Journal of Cancer,
Journal Year:
2024,
Volume and Issue:
15(6), P. 1568 - 1582
Published: Jan. 1, 2024
Background:
Lung
adenocarcinoma
(LUAD)
represents
a
prevalent
subtype
of
non-small
cell
lung
cancer
with
complex
molecular
landscape.Dysregulated
cellular
energetics,
notably
the
interplay
between
hypoxia
and
glycolysis,
has
emerged
as
hallmark
feature
LUAD
tumorigenesis
progression.In
this
study,
we
aimed
to
identify
glycolysis
related
gene
signatures
construct
prognostic
model
enhance
clinical
management
LUAD.Methods:
A
signature
associated
was
established
within
The
Cancer
Genome
Atlas
(TCGA)
cohort
subsequently
validated
in
GSE31210
cohort.Additionally,
nomogram
formulated
aid
predictive
modeling.Subsequently,
an
evaluation
tumor
microenvironment
immune
checkpoints
expression
levels
conducted
discern
disparities
low
risk
high
groups.Lastly,
exploration
for
drugs
potential
effectiveness
carried
out.Results:
Our
analyses
revealed
distinct
consisting
6
genes
significantly
patient
survival.Integration
these
into
demonstrated
superior
accuracy
outcomes.Furthermore,
developed
user-friendly
that
effectively
translates
model's
information
practical
tool
decision-making.
Conclusion:This
study
elucidates
critical
role
offers
novel
promising
utility.This
refine
stratification
guide
personalized
therapeutic
interventions,
ultimately
improving
prognosis
patients.
Frontiers in Pharmacology,
Journal Year:
2023,
Volume and Issue:
14
Published: April 17, 2023
Background:
Skin
cutaneous
melanoma
(SKCM)
is
one
of
the
most
common
malignancies,
which
incidence
increasing.
Cuproptosis
a
new
type
programming
cell
death
recently
reported,
may
affect
progression
SKCM.
Method:
The
mRNA
expression
data
were
obtained
from
Gene
Expression
Omnibus
and
Cancer
Genome
Atlas
databases.
We
constructed
prognostic
model
according
to
cuproptosis-related
differential
genes
in
Finally,
real-time
quantitative
PCR
was
performed
verify
patients
with
different
stages
melanoma.
Results:
detected
767
based
on
19
genes,
screened
out
7
construct
model,
including
three
high-risk
(SNAI2,
RAP1GAP,
BCHE),
four
low-risk
(JSRP1,
HAPLN3,
HHEX,
ERAP2).
Kaplan-Meier
analysis
indicated
that
SKCM
signals
had
better
prognosis.
Encyclopedia
Genomes
results
manifested
are
not
only
involved
T
receptor
signaling
channel,
natural
killer
mediated
cytotoxicity,
but
also
chemokine
pathway
B
pathway.
In
our
risk
scoring
receiver
operating
characteristic
(ROC)
values
three-time
nodes
0.669
(1-year),
(3-year)
0.685
(5-year),
respectively.
Moreover,
tumor
burden
mutational
immunology
function,
stemness
characteristics
drug
sensitivity
have
significant
differences
between
group
group.
level
SNAI2,
RAP1GAP
BCHE
stage
Ⅲ+Ⅳ
significantly
higher
than
Ⅰ+Ⅱ
patients,
while
JSRP1,
HHEX
ERAP2
more
remarkable
patients.
Conclusion:
summary,
we
suggest
cuproptosis
can
regulate
immune
microenvironment
prognosis
offer
basic
theory
for
survival
studies
clinical
decision-making
potentially
therapeutic
drugs.
Frontiers in Aging Neuroscience,
Journal Year:
2023,
Volume and Issue:
15
Published: Nov. 10, 2023
Coronary
artery
disease
(CAD)
usually
coexists
with
subclinical
cerebrovascular
diseases
given
the
systematic
nature
of
atherosclerosis.
In
this
study,
our
objective
was
to
predict
progression
white
matter
hyperintensity
(WMH)
and
find
its
risk
factors
in
CAD
patients
using
coronary
calcium
(CAC)
score.
We
also
investigated
relationship
between
CAC
score
WMH
volume
different
brain
regions.We
evaluated
137
who
underwent
computed
tomography
angiography
(CCTA)
two
magnetic
resonance
imaging
(MRI)
scans
from
March
2018
February
2023.
Patients
were
categorized
into
progressive
(n
=
66)
nonprogressive
groups
71)
by
change
first
second
MRI.
collected
demographic,
clinical,
data
for
analysis.
Independent
identified
logistic
regression.
Three
models
predicting
developed
assessed.
Finally,
divided
based
on
their
total
(0
<100,
100
400,
>
400)
compare
changes
nine
regions.Alcohol
abuse,
maximum
pericoronary
fat
attenuation
index
(pFAI),
CT-fractional
flow
reserve
(CT-FFR),
grade
independently
predicted
(p
<
0.05).
The
regression
model
all
four
variables
performed
best
(training:
AUC
0.878,
95%
CI:
0.790,
0.938;
validation:
0.845,
0.734,
0.953).
An
increased
came
significantly
higher
brain,
corpus
callosum,
frontal,
parietal
occipital
lobes
0.05).This
study
demonstrated
application
CCTA-derived
elderly
people
(≥60
years)
CAD.
Small,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 15, 2024
Abstract
Cuproptosis,
a
newly
defined
cell
death
process,
represents
novel
modality
with
significant
therapeutic
potential
in
cancer
treatment.
Nevertheless,
the
modest
concentration
and
transient
half‐life
of
copper
ions
bloodstream
constrain
their
efficient
delivery
into
tumor
cells.
In
this
study,
copper‐based
prussian
blue
nanostructure
loaded
serine
metabolic
inhibitor
(NCT‐503@Cu‐HMPB)
is
constructed
for
selectively
inducing
cuproptosis
combined
disrupting
metabolism.
Released
within
cells,
NCT‐503
found
to
inhibit
cellular
metabolism
GSH
production,
ultimately
causing
dysfunction,
redox
imbalance,
increased
formation
Cu
+
that
disrupts
mitochondrial
respiration
chain,
lipoylated
protein
dihydrolipoamide
S‐acetyltransferase
(DLAT)
aggregation
consequential
iron‐sulfur
cluster
loss,
which
leads
proteotoxic
stress
results
death.
The
findings
provide
paradigm
therapy
based
on
reprogramming,
offering
prospects
development
innovative
nanotherapeutic
platforms
future.
Frontiers in Oncology,
Journal Year:
2023,
Volume and Issue:
13
Published: June 15, 2023
Inflammation
is
one
of
the
most
important
characteristics
tumor
tissue.
Signatures
based
on
inflammatory
response-related
genes
(IRGs)
can
predict
prognosis
and
treatment
response
in
a
variety
tumors.
However,
clear
function
IRGs
triple
negative
breast
cancer
(TNBC)
still
needs
to
be
explored.IRGs
clusters
were
discovered
via
consensus
clustering,
prognostic
differentially
expressed
(DEGs)
across
utilized
develop
signature
using
least
absolute
shrinkage
selection
operator
(LASSO).
Verification
analyses
conducted
show
robustness
signature.
The
expression
risk
was
identified
by
RT-qPCR.
Lastly,
we
formulated
nomogram
improve
clinical
efficacy
our
predictive
tool.The
signature,
comprised
four
genes,
developed
shown
highly
correlated
with
prognoses
TNBC
patients.
In
contrast
performance
other
individual
predictors,
that
remarkably
superior.
Also,
ImmuneScores
elevated
low-risk
group.
immune
cell
infiltration
showed
significant
difference
between
two
groups,
as
did
checkpoints.The
could
act
biomarker
provide
momentous
reference
for
therapy
TNBC.
Frontiers in Immunology,
Journal Year:
2023,
Volume and Issue:
14
Published: Aug. 25, 2023
GENERAL
COMMENTARY
article
Front.
Immunol.,
25
August
2023Sec.
Cancer
Immunity
and
Immunotherapy
Volume
14
-
2023
|
https://doi.org/10.3389/fimmu.2023.1265565
Research Square (Research Square),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Nov. 9, 2023
Abstract
Objective
The
objective
of
this
research
was
to
develop
and
validate
a
novel
prognostic
model
for
predicting
overall
survival
(OS)
in
patients
diagnosed
with
melanoma.
Methods
Based
on
data
(n
=
752)
from
melanoma
between
January
2017
December
2020
Chongqing
University
Cancer
Hospital
China,
we
randomly
divided
them
into
two
cohorts:
training
cohort
527)
validation
225)
7:3
ratio.
We
conducted
logistic
univariable
multivariable
analysis
identify
independent
risk
factors
OS
patients,
which
were
then
integrated
nomogram.
nomogram
internally
validated
ensure
its
reliabitly.
predictive
effectiveness
the
assessed
using
receiver
operating
characteristic
(ROC)
calibration
curve.
Decision
curve
(DCA)
curves
also
utilized
evaluate
model’
prediction
ability.
Results
A
total
752
included
analysis.
incorporated
seven
including
age,
basic-disease,
surgery,
tumor
node
metastasis
(TNM),
chemotherapy,
interleukin2,
lactate-dehydrogenase
(LDH).
C-indices
predict
1-,
3-,
5-
years
retes
0.704
(0.643–0.766),0.742
(0.685–0.799),0.740
(0.663–0.817)
cohort,
0.733
(0.647–0.818),0.714
(0.624–0.803),0.710
(0.591–0.830)
respectively.
showed
strong
agreement
actual
observations
probability
both
cohorts.
plots
DCA
demonstrated
excellent
concordance
predicted
probabilities.
Conclusions
developed
patients.
This
provided
reliable
user-friendly
approach
forecast
outcomes
individuals
application
innovative
has
potential
facilitate
personalized
early
detection
treatment
strategies,
thereby
benefiting
