Research Square (Research Square),
Journal Year:
2023,
Volume and Issue:
unknown
Published: July 20, 2023
Abstract
Background
Skin
cutaneous
melanoma
(SKCM)
is
the
most
malignant
tumor
among
skin
cancers.
We
aimed
to
identify
role
of
m6A
regulated
genes
in
prognosis
and
immune
microenvironment
SKCM.
further
elevated
expression
level
cuproptosis-related
different
risk
groups.
Methods
The
transcriptome
data
471
SKCM
tissues
from
XENA
database
812
normal
samples
GTEx
were
obtained.The
univariate
Cox
regression
analysis
was
used
explore
relationship
related
clinical
outcomes
least
absolute
shrinkage
selection
operator
(LASSO)
construct
a
model
for
genes.
Furthermore,
Gene
Ontology
(GO),
Kyoto
Encyclopedia
Genes
Genomes
(KEGG)
enrichment
performed.
Also,
cell
infiltration
analyzed
using
CIBERSORT.
In
addition,
we
assessed
its
sets.
Expression
validation
cuproptosis-associated
YTHDF3
downregulated
lines
by
RT-qPCR.
Results
this
study,
found
that
m6A-related
differentially
expressed
samples.
Eight
them
significantly
prognosis.
based
on
HNRNPA2B1,
METTL3,
WTAP,
METTL15,
YTHDC1
RBMX
constructed
validated.
Besides,
biological
processes
signaling
pathway
GO
KEGG
analysis.
Moreover,
cells
sets
explored
discovered
CD8
+
T
cells,
CD4
memory
activated,
NK
activated
Macrophage
M1
negatively
correlated
with
score.
detected
ten
gens
Among
them,
MTF1,
PDHB
FDX1
lower
appeared
correlate
higher
Finally,
MTF1
increased
when
regulator
downregulated.
Conclusion
Our
study
demonstrated
prognostic
value
their
microenvironment.
creatively
between
RNA
methylation
regulators
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Jan. 5, 2024
Abstract
Purpose
As
a
novel
form
of
cell
death,
cuproptosis
has
been
found
to
have
an
effect
on
the
occurrence,
development
and
prognosis
many
other
carcinomas,
such
as
renal
clear
carcinoma,
hepatocellular
carcinoma
breast
cancer.
However,
role
in
prostate
cancer
is
poorly
understood.
Methods
We
retrieved
downloaded
gene
expression
profiles
clinical
information
from
public
databases.
used
unsupervised
clustering
find
differences
immune
microenvironment
between
subgroups
then
obtained
differential
genes
subgroups.
Based
random
forest
machine
learning
algorithm,
we
constructed
model
distinguish
patients’
outcomes
verified
their
predictive
efficacy.
Gene
with
potential
regulatory
effects
was
further
selected
validated
experimentally.
Results
From
our
findings,
most
cuproptosis-related
were
differentially
expressed
tumor-adjacent
tissues.
Two
clusters
based
consensus
cluster
analysis
showed
different
microenvironment.
core
algorithm
screen
prognostic
relevant
immune-related
risk
stratification
model.
Different
groups
predicted
by
presented
clinicopathological
stages
prognosis.
Subsequent
experiments
revealed
that
inhibition
PROK1
promoted
proliferation
invasion,
overexpression
gave
opposite
result,
validating
anticancer
its
become
therapeutic
target.
Conclusion
Our
study
reveals
landscape
may
influence
progression
modulating
immunity.
One
key
genes,
PROK1,
be
oncogene.
provides
new
ideas
about
environment
Discover Oncology,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: July 24, 2024
Abstract
Cuproptosis
is
a
novel
type
to
regulate
cell
death
with
copper-dependent
manner,
and
has
been
reported
involve
in
the
occurrence
development
of
various
malignant
tumors.
However,
association
between
cuproptosis
tumor
microenvironment
(TME)
clear
renal
carcinoma
(ccRCC)
remained
unclear.
To
address
this
question,
we
integrated
single
RNA
sequencing
(scRNA-seq)
datasets
ccRCC
across
different
stages,
systematically
examined
distinctive
expression
patterns
cuproptosis-related
genes
(CRGs)
within
TME
ccRCC,
explored
crucial
signatures
using
spatial
transcriptome
(ST-seq)
dataset.
The
activities
reduced
cancer
tissues
along
development,
recovered
after
therapy.
We
identified
HILPDA
+
ccRCC1
subtype,
characterized
hypoxia,
as
susceptible
cells
associated
better
prognosis.
main
co-expression
modules
subtype
highlighted
role
anion
transport,
response
oxygen
species
PD-L1-PD-1
pathway.
Furthermore,
immunosuppressive
might
interact
via
HAVCR2-LGALS9,
C3-C3AR1,
HLA-A-CD8B
HLA-C-CD8A
axises
shape
landscape.
In
summary,
anticipate
that
study
will
offer
valuable
insights
potential
strategies
for
therapy
ccRCC.
Graphical
Frontiers in Immunology,
Journal Year:
2024,
Volume and Issue:
15
Published: Nov. 12, 2024
Background
As
a
prevalent
malignancy
in
women,
ovarian
cancer
(OC)
presents
challenge
clinical
practice
because
of
its
poor
prognosis
and
therapeutic
efficacy.
The
mechanism
by
which
cuproptosis
activity
is
accompanied
immune
infiltration
OC
remains
unknown.
Here,
we
investigated
cuproptosis-related
subtypes
relevant
landscapes
to
develop
risk
score
(RS)
model
for
survival
prediction.
Methods
Cuproptosis-related
genes
(CRGs)
were
identified
construct
molecular
via
an
unsupervised
clustering
algorithm
based
on
the
expression
profiles
survival-related
CRGs
GEO
database.
Single-cell
datasets
used
estimate
among
subtypes.
RS
oriented
from
was
developed
LASSO
Cox
regression
TCGA
dataset
independently
validated
datasets.
Hub
markers
tissues
cell
lines.
function
key
gene
vitro
.
Results
We
establish
three
differentially
expressed
(DEGs)
create
efficacy
prognosis.
Six
hub
served
as
ongenic
GAS1
revealed
that
it
exerts
oncogenic
effects.
Conclusions
Our
study
provides
novel
including
6
associated
with
predict
well
Research Square (Research Square),
Journal Year:
2023,
Volume and Issue:
unknown
Published: July 20, 2023
Abstract
Background
Skin
cutaneous
melanoma
(SKCM)
is
the
most
malignant
tumor
among
skin
cancers.
We
aimed
to
identify
role
of
m6A
regulated
genes
in
prognosis
and
immune
microenvironment
SKCM.
further
elevated
expression
level
cuproptosis-related
different
risk
groups.
Methods
The
transcriptome
data
471
SKCM
tissues
from
XENA
database
812
normal
samples
GTEx
were
obtained.The
univariate
Cox
regression
analysis
was
used
explore
relationship
related
clinical
outcomes
least
absolute
shrinkage
selection
operator
(LASSO)
construct
a
model
for
genes.
Furthermore,
Gene
Ontology
(GO),
Kyoto
Encyclopedia
Genes
Genomes
(KEGG)
enrichment
performed.
Also,
cell
infiltration
analyzed
using
CIBERSORT.
In
addition,
we
assessed
its
sets.
Expression
validation
cuproptosis-associated
YTHDF3
downregulated
lines
by
RT-qPCR.
Results
this
study,
found
that
m6A-related
differentially
expressed
samples.
Eight
them
significantly
prognosis.
based
on
HNRNPA2B1,
METTL3,
WTAP,
METTL15,
YTHDC1
RBMX
constructed
validated.
Besides,
biological
processes
signaling
pathway
GO
KEGG
analysis.
Moreover,
cells
sets
explored
discovered
CD8
+
T
cells,
CD4
memory
activated,
NK
activated
Macrophage
M1
negatively
correlated
with
score.
detected
ten
gens
Among
them,
MTF1,
PDHB
FDX1
lower
appeared
correlate
higher
Finally,
MTF1
increased
when
regulator
downregulated.
Conclusion
Our
study
demonstrated
prognostic
value
their
microenvironment.
creatively
between
RNA
methylation
regulators
