Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Nov. 7, 2024
The
crosstalk
between
cuproptosis
and
the
tumor
immune
microenvironment
(TIME)
is
vital
during
clear
cell
renal
carcinoma
(ccRCC)
malignant
progression.
However,
underlying
molecular
mechanisms
regulate
this
cross-talk
remain
elusive.
Through
tailored
machine
learning,
we
analyze
clinical
ccRCC
data
from
Cancer
Genome
Atlas
(TCGA)
to
explore
critical
factors
that
interaction
among
cuproptosis,
TIME,
We
found
rhomboid-like
2
(RHBDL2),
gene
affecting
process,
might
inhibit
cuproptosis-related
genes
(CRGs)
promotes
progression
through
Wnt/β-catenin
pathway.
Next,
knocking
down
RHBDL2
expression
increased
ferredoxin
1
(FDX1)
lipoic
acid
synthase
(LIAS)
levels
but
reduced
forkhead
box
P3
(FOXP3)
growth
in
vivo
vitro
models.
By
employing
HLY78,
pathway
activator,
rescued
of
CRGs
proliferation
metastasis
capacity
cells
with
knockdown.
Mechanistically,
inhibits
Abnormal
may
cause
suppressive
TIME
formation
by
regulating
Treg-cell
infiltration,
thus
triggering
escape.
In
summary,
our
results
indicated
an
oncogene
induces
tumorigenesis
targeting
be
novel
therapeutic
direction
for
metastatic
ccRCC.
Cell Communication and Signaling,
Journal Year:
2024,
Volume and Issue:
22(1)
Published: May 1, 2024
Copper
plays
vital
roles
in
numerous
cellular
processes
and
its
imbalance
can
lead
to
oxidative
stress
dysfunction.
Recent
research
has
unveiled
a
unique
form
of
copper-induced
cell
death,
termed
cuproptosis,
which
differs
from
known
death
mechanisms.
This
process
involves
the
interaction
copper
with
lipoylated
tricarboxylic
acid
cycle
enzymes,
causing
protein
aggregation
death.
Recently,
growing
number
studies
have
explored
link
between
cuproptosis
cancer
development.
review
comprehensively
examines
systemic
metabolism
copper,
including
tumor-related
signaling
pathways
influenced
by
copper.
It
delves
into
discovery
mechanisms
connection
various
cancers.
Additionally,
suggests
potential
treatments
using
ionophores
that
induce
combination
small
molecule
drugs,
for
precision
therapy
specific
types.
Current Issues in Molecular Biology,
Journal Year:
2024,
Volume and Issue:
46(5), P. 4646 - 4687
Published: May 13, 2024
This
review
systematizes
information
about
the
metabolic
features
of
breast
cancer
directly
related
to
oxidative
stress.
It
has
been
shown
those
redox
changes
occur
at
all
levels
and
affect
many
regulatory
systems
in
human
body.
The
biochemical
processes
occurring
are
described,
ranging
from
nonspecific,
first
glance,
strictly
hormone-induced
reactions,
genetic
epigenetic
regulation,
which
allows
for
a
broader
deeper
understanding
principles
oncogenesis,
as
well
maintaining
viability
cells
mammary
gland.
Specific
pathways
activation
stress
have
studied
response
overproduction
hormones
estrogens,
specific
ways
reduce
its
negative
impact
described.
diversity
participants
that
trigger
reactions
different
sides
is
considered
more
fully:
glycolytic
activity
cancer,
nature
consumption
amino
acids
metals.
role
metals
discussed
detail.
They
can
act
both
co-factors
direct
stress,
since
they
either
mechanism
lipid
peroxidation
or
capable
activating
signaling
tumorigenesis.
Special
attention
paid
regulation
tumors.
A
complex
cascade
mechanisms
explained,
made
it
possible
reconsider
existing
opinion
triggers
launching
oncological
process,
survival
their
ability
localize.
Frontiers in Pharmacology,
Journal Year:
2025,
Volume and Issue:
15
Published: Jan. 10, 2025
Breast
cancer
is
the
most
commonly
diagnosed
worldwide.
Metal
metabolism
pivotal
for
regulating
cell
fate
and
drug
sensitivity
in
breast
cancer.
Iron
copper
are
essential
metal
ions
critical
maintaining
cellular
function.
The
accumulation
of
iron
triggers
distinct
death
pathways,
known
as
ferroptosis
cuproptosis,
respectively.
Ferroptosis
characterized
by
iron-dependent
lipid
peroxidation,
while
cuproptosis
involves
copper-induced
oxidative
stress.
They
increasingly
recognized
promising
targets
development
anticancer
drugs.
Recently,
compelling
evidence
demonstrated
that
interplay
between
plays
a
crucial
role
progression.
This
review
elucidates
converging
pathways
Moreover,
we
examined
value
genes
associated
with
clinical
diagnosis
treatment
cancer,
mainly
outlining
potential
co-targeting
approach.
Lastly,
delve
into
current
challenges
limitations
this
strategy.
In
general,
offers
an
overview
interaction
offering
valuable
perspectives
further
research
treatment.
Journal of Clinical Hypertension,
Journal Year:
2025,
Volume and Issue:
27(1)
Published: Jan. 1, 2025
Preeclampsia
(PE)
is
a
pregnancy-specific
disorder
characterized
by
an
unclearly
understood
pathogenesis
and
poses
great
threat
to
maternal
fetal
safety.
Cuproptosis,
novel
form
of
cellular
death,
has
been
implicated
in
the
advancement
various
diseases.
However,
role
cuproptosis
immune-related
genes
PE
unclear.
The
current
study
aims
elucidate
gene
expression
matrix
immune
infiltration
patterns
cuproptosis-related
(CRGs)
context
PE.
GSE98224
dataset
was
obtained
from
Gene
Expression
Omnibus
(GEO)
database
utilized
as
internal
training
set.
Based
on
dataset,
we
explored
differentially
expressed
related
(DECRGs)
immunological
composition.
We
identified
10
DECRGs
conducted
Ontology
(GO)
function,
Kyoto
Encyclopedia
Genes
Genomes
(KEGG)
pathway
enrichment
analyses,
protein-protein
interaction
(PPI)
network.
Furthermore,
patients
with
were
categorized
into
two
distinct
clusters,
investigation
examine
status
cell
infiltration.
Additionally,
application
Weighted
Co-expression
Network
Analysis
(WGCNA)
differentiate
modules
consisting
co-expressed
conduct
clustering
analysis.
intersecting
differently
clusters.
most
precise
forecasting
model
chosen
evaluating
effectiveness
four
machine
learning
models.
ResNet
established
score
hub
genes.
prediction
accuracy
assessed
receiver
operating
characteristic
(ROC)
curves
external
dataset.
successfully
five
key
DECREGs
pathological
clusters
PE,
each
profiles
biological
characteristics.
Subsequently,
RF
deemed
optimal
for
identification
large
area
under
curve
(AUC
=
0.733).
that
ranked
highest
considered
be
predictor
calibration
demonstrated
high
level
aligning
predicted
outcomes
actual
outcomes.
validate
using
ROC
0.82).
Cuproptosis
may
play
important
present
elucidated
GSTA4,
KCNK5,
APLNR,
IKZF2,
CAP2
potential
markers
cuproptosis-associated
are
significant
initiation
development
cuproptosis-induced
Cancer Communications,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 13, 2025
Abstract
Copper,
one
of
the
essential
nutrients
for
human
body,
acts
as
an
electron
relay
in
multiple
pathways
due
to
its
redox
properties.
Both
deficiencies
and
excesses
copper
lead
cellular
fragility.
Therefore,
it
can
manifest
pro‐
anti‐cancer
properties
tumors.
is
crucial
clarify
activity
within
cell.
We
have
thoughtfully
summarized
metabolic
activities
from
a
macro
micro
perspective.
Cuproptosis,
well
other
forms
cell
death,
directly
or
indirectly
interfered
with
by
Cu
2+
,
causing
cancer
death.
Meanwhile,
we
did
pan‐cancer
analysis
cuproptosis‐related
genes
further
roles
these
genes.
In
addition,
has
been
found
be
involved
metastasis
cells.
Given
complexity
copper's
role,
are
compelled
ask:
friend
foe?
Up
now,
used
various
clinical
applications,
including
protocols
measurement
concentration
bioimaging
radioactive
64
Cu.
But
therapeutically
still
continuation
old
medicine,
new
possibilities
need
explored,
such
use
nanomaterials.
Some
studies
also
shown
that
considerable
interventional
power
cancers,
which
provides
great
applications
potential
therapy
specific
types.
This
paper
reviews
dual
played
cuproptosis
perspectives
oxidative
stress,
tumor
metastasis,
points
out
value
application
types,
summarizes
testing
imaging
perspective
current
feasible
options
drugs,
emphasizes
prospects
nano‐copper.
Frontiers in Immunology,
Journal Year:
2025,
Volume and Issue:
16
Published: Feb. 25, 2025
Ovarian
cancer
(OC)
is
a
severe
malignant
tumor
with
significant
threat
to
women's
health,
characterized
by
high
mortality
rate
and
poor
prognosis
despite
conventional
treatments
such
as
cytoreductive
surgery
platinum-based
chemotherapy.
Cuproptosis,
novel
form
of
cell
death
triggered
copper
ion
accumulation,
has
shown
potential
in
therapy,
particularly
through
the
involvement
CuLncs.
This
study
aims
identify
risk
signatures
associated
CuLncs
OC,
construct
prognostic
model,
explore
therapeutic
drugs
impact
on
OC
behavior.
We
analyzed
ovarian
data
(TCGA-OV)
from
TCGA
database,
including
transcriptomic
clinical
376
patients.
Using
Pearson
correlation
LASSO
regression,
we
identified
8
signature
model.
Patients
were
categorized
into
high-
low-risk
groups
based
their
scores.
performed
survival
analysis,
model
validation,
drug
sensitivity
vitro
experiments
assess
model's
performance
functional
key
proliferation,
invasion,
migration.
The
demonstrated
predictive
power,
an
area
under
curve
(AUC)
0.702
for
1-year,
0.640
3-year,
0.618
5-year
survival,
outperforming
pathological
features
stage
grade.
High-risk
patients
exhibited
higher
Tumor
Immune
Dysfunction
Exclusion
(TIDE)
scores,
indicating
stronger
immune
evasion
ability.
Drugs
JQ12,
PD-0325901,
sorafenib
showed
reduced
IC50
values
high-risk
group,
suggesting
benefits.
In
revealed
that
knockdown
LINC01956,
CuLnc
signature,
significantly
inhibited
migration
cells
(P<0.05).
Our
explored
targets
OC.
findings
highlight
importance
response,
providing
new
insights
future
research
applications.
Genes,
Journal Year:
2025,
Volume and Issue:
16(3), P. 339 - 339
Published: March 14, 2025
Background:
The
prevalence
of
major
depressive
disorder
(MDD)
among
patients
with
inflammatory
bowel
disease
(IBD)
is
significantly
higher
compared
to
the
general
population,
suggesting
a
potential
link
between
their
pathogeneses.
Cuproptosis,
defined
as
cell
death
caused
by
intracellular
copper
accumulation,
has
not
been
thoroughly
investigated
in
context
IBD
and
MDD.
This
study
aims
uncover
molecular
mechanisms
cuproptosis-related
genes
(CRGs)
both
conditions
explore
novel
therapeutic
strategies
modulation
CRGs.
Methods:
In
this
study,
we
identified
differentially
expressed
CRGs
normal
samples.
We
calculated
correlation
immune
infiltrations
across
various
tissues.
Four
machine
learning
algorithms
were
employed
identify
key
associated
Additionally,
drug
sensitivity,
docking,
dynamics
simulations
conducted
predict
drugs
for
Results:
DLD,
DLAT,
DLST,
PDHB,
DBT
common
DE-CRGs,
LIAS,
SLC31A1,
SCO2,
CDKN2A
Consequently,
DLD
was
recognized
shared
biomarker
diseases.
A
total
37
Based
on
docking
simulation
analyses,
barasertib
NTP-TAE684,
which
target
predicted
be
most
effective
compounds.
Conclusions:
These
findings
have
substantially
enhanced
our
understanding
similarities
differences
regulatory
within
brain–gut
axis
Key
biomarkers
identified,
effectively
Discover Oncology,
Journal Year:
2025,
Volume and Issue:
16(1)
Published: March 14, 2025
Breast
cancer
is
the
second
most
prevalent
malignant
tumor
worldwide
and
highly
heterogeneous.
Cuproptosis,
a
newly
identified
form
of
cell
death,
intimately
connected
to
lipid
metabolism.
This
study
investigated
breast
heterogeneity
through
lens
cuproptosis-related
metabolism
genes
(CLMGs),
with
goal
predicting
patient
prognosis,
immunotherapy
efficacy,
sensitivity
anticancer
drugs.
By
utilizing
transcriptomic
data
from
The
Cancer
Genome
Atlas
(TCGA)
for
cancer,
we
682
CLMGs
applied
nonnegative
matrix
factorization
(NMF)
method
categorize
patients
into
four
distinct
clusters:
cluster
1,
''immune-cold
stroma-poor'';
2,
''immune-infiltrated'';
3,
''stroma-rich'';
4,
''moderate
infiltration''.
We
subsequently
developed
risk
model
based
on
that
incorporates
ACSL1,
ATP2B4,
ATP7B,
ENPP6,
HSPH1,
PIP4K2C,
SRD5A3,
ULBP1.
demonstrated
excellent
prognostic
predictive
performance
in
both
internal
(testing
entire
sets)
external
(GSE20685
Kaplan–Meier
Plotter
validation
sets.
High-risk
presented
lower
expression
levels
immune
checkpoint-related
immunophenoscores
(IPSs),
whereas
low-risk
higher
CD8+
T-cell
infiltration
IPSs.
Furthermore,
index
was
positively
correlated
stemness
could
predict
also
confirmed
SRD5A3
expressed
participated
promoting
proliferation
migration
cells.
In
conclusion,
results
this
provide
new
insights
strategies
assessing
prognosis
implementing
precision
treatment
CLMGs.