Research Square (Research Square),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Jan. 10, 2023
Abstract
Background:
Esophageal
cancer
(ESCA)
is
a
significant
cause
of
tumor-related
mortality
worldwide.
Cuproptosis
novel
cell
death
which
different
from
other
regulate
death,
including
ferroptosis,
pyroptosis
and
apoptosis.
However,
the
role
cuproptosis
in
initiation
progression
ESCA
remains
unknown.
Methods:
The
transcriptome
data
clinical
173
patients
with
esophageal
TCGA
database
were
sorted
extracted
Perl
software.
Pearson
correlation
analysis
was
performed
on
related
genes
all
lncRNAs.
prognostic
lncRNAs
determined
by
univariate
multivariate
Cox
regression
analysis,
new
model
constructed
to
calculate
risk
score
each
patient.
C-Index
curve,
PCA
ROC
curve
used
evaluate
prognosis
prediction
performance
3-
(CRLs)
model.
In
addition,
assess
value
entire
cohort
subgroups.
Results:
3-CRLs
scoring
criteria
EWSAT1,
AC125437.1
GK-IT1
established
overall
survival
(OS)
ESCA.
Survival
showed
that
had
good
train
group
test
group.
coefficients
analyzed
using
Lasso
lambda
values
determined.
principal
component
determine
whether
can
clearly
distinguish
gap
between
high
low
samples.
Multivariate
characteristics
independent
factors
OS.
Norman
map
robust
effectiveness
prediction.
Conclusion:
based
may
be
predict
carcinoma
Journal of Medical Virology,
Journal Year:
2023,
Volume and Issue:
95(7)
Published: July 1, 2023
Abstract
With
the
rapid
increase
in
incidence
of
cervical
cancer,
anal
cancer
and
other
cancers,
human
papillomavirus
(HPV)
infection
has
become
a
growing
concern.
Persistent
with
high‐risk
HPV
is
major
cause
malignant
tumors.
In
addition,
microbiota
viruses
such
as
immunodeficiency
virus,
herpes
simplex
Epstein–Barr
virus
are
closely
associated
infection.
The
limited
effectiveness
existing
treatments
for
HPV‐associated
tumors
high
rates
recurrence
metastasis
patients
create
an
urgent
need
novel
effective
approaches.
recent
years,
vaccine
coverage
increased
can
reduce
serious
adverse
events.
Overall,
this
article
provides
comprehensive
overview
biology,
microbiome,
viral
interactions
development,
highlighting
more
approach
to
prevention
treatment.
Current
emerging
HPV‐related
control
treatment
strategies
also
further
explored.
Cancers,
Journal Year:
2024,
Volume and Issue:
16(3), P. 510 - 510
Published: Jan. 24, 2024
Pigment
epithelium-derived
factor
(PEDF)
is
a
natural
immunomodulator,
anti-inflammatory,
anti-angiogenic,
anti-tumour
growth
and
anti-metastasis
factor,
which
can
enhance
tumour
response
to
PEDF
but
also
conversely
have
pro-cancerous
effects.
Inflammation
major
cause
of
cancer,
it
has
been
proven
that
anti-inflammatory
properties.
PEDF’s
functional
activity
be
investigated
through
measuring
metastatic
metabolic
biomarkers
will
discussed
in
this
review.
BMC Bioinformatics,
Journal Year:
2023,
Volume and Issue:
24(1)
Published: May 31, 2023
Abstract
Background
This
study
aimed
to
observe
the
potential
impact
of
known
cuproptosis-related
genes
(CRGs)
on
triple
negative
breast
cancer
(TNBC)
development,
as
well
their
associated
molecular
mechanisms,
immune
infiltration
mechanisms
and
therapeutic
agents.
Results
Based
Cox
Proportional
Hazard
Model,
11
CRGs
may
be
especially
important
in
TNBC
development
progression
(considered
Key-TNBC-CRGs).
The
expression
several
Key-TNBC-CRGs
(e.g.,
ATP7A,
PIK3CA,
LIAS,
LIPT
)
are
with
common
mutations.
SCNA
variation
related
differences
profiles.
In
particular,
depletion
ATP7A
,
ATP7B
CLS
LIAS
SCL31A1
while
high
amplification
NLRP3
LIPT2
correlated
decreased
infiltration.
our
proportional
hazards
regression
model,
there
is
a
significant
difference
overall
survival
between
high-risk
low-risk
groups.
HR
group
3.891
versus
group.
And
this
model
has
satisfactory
performance
Prediction
5–15-year
survival,
particular
10-year
(AUC
=
0.836).
Finally,
we
discovered
some
drugs
for
treatment
based
strategy
targeting
Key-TNBC-CRGs,
such
Dasatinib
combined
ABT-737,
Erastin
or
Methotrexate,
Docetaxel/Ispinesib
combination.
Conclusion
conclusion,
play
roles
they
can
tumor
microenvironment
patient
survival.
interact
mutually
influenced
by
BC-related
Additionally,
established
11-gene
risk
robust
prediction
As
well,
new
proposed
potentially
effective
CRG
strategy.
Journal of Ovarian Research,
Journal Year:
2023,
Volume and Issue:
16(1)
Published: April 30, 2023
Abstract
Background
There
has
been
a
recent
discovery
of
new
type
cell
death
produced
by
copper-iron
ions,
called
Cuproptosis
(copper
death).
The
purpose
this
study
was
to
identify
LncRNA
signatures
associated
with
in
ovarian
cancer
that
could
be
used
as
prognostic
indicators.
Methods
RNA
sequencing
(RNA-seq)
profiles
clinicopathological
data
from
TCGA
database
were
select
CRLs
and
then
constructed
risk
model
using
multivariate
regression
analysis
LASSO
algorithms.
An
independent
dataset
GEO
validate
the
performance.
Combined
clinical
factors,
we
further
nomogram.
In
addition,
tumor
immune
microenvironment,
somatic
mutation
drug
sensitivity
analyzed
ssGSEA,
GSVA,
ESTIMATE
CIBERSORT
Result
A
total
129
selected
whose
expression
levels
significantly
related
10
cuproptosis-related
genes.
univariate
Cox
showed
12
overall
survival
(OS).
Using
algorithms
analysis,
four-CRLs
signature
training
dataset.
Patients
classified
into
high-
or
low-risk
subgroups
different
OS
(log-rank
p
<
0.001).
performance
confirmed
TCGA-OC
cohort
0.001)
an
=
0.023).
Multivariate
cox
proved
factor
for
OC.
Additionally,
subtypes
cells,
signal
pathways,
response.
Conclusion
We
established
based
on
lncRNAs
OC
patients,
which
will
great
value
predicting
prognosis
patients
may
provide
perspective
research
individualized
treatment.
Biomolecules,
Journal Year:
2024,
Volume and Issue:
14(3), P. 266 - 266
Published: Feb. 23, 2024
Disulfidptosis
is
a
newly
discovered
form
of
programmed
cell
death
that
induced
by
disulfide
stress.
It
closely
associated
with
various
cancers,
including
head
and
neck
squamous
carcinoma
(HNSCC).
However,
the
factors
involved
in
modulation
disulfidptosis-related
genes
(DRGs)
still
remain
unknown.
In
this
study,
we
established
validated
novel
risk
score
model
composed
11
lncRNAs
(DRLs)
based
on
24
DRGs
HNSCC.
The
results
revealed
strong
correlations
between
11-DRL
prognostic
signature
clinicopathological
features,
immune
infiltration,
immune-related
functions,
disulfidptosis-associated
pathways,
NADPH
oxidoreductase
activities.
Furthermore,
studied
verified
involvement
ALMS1-IT1,
one
DRLs,
disulfidptosis
HNSCC
lines.
A
series
assays
demonstrated
ALMS1-IT1
modulated
under
starvation
conditions
pentose
phosphate
pathway
(PPP)-dependent
manner.
Knockdown
inhibited
PPP,
contributing
to
decline
levels,
which
resulted
formation
multiple
intermolecular
bonds
actin
cytoskeleton
proteins
collapse
F-actin
cytoplasm.
Therefore,
highly
expressed
SLC7A11high
cells,
can
be
considered
promising
therapeutic
target
for
disulfidptosis-focused
treatment
strategies
cancer
other
diseases.
Hereditas,
Journal Year:
2024,
Volume and Issue:
161(1)
Published: Feb. 27, 2024
Abstract
Background
The
novel
form
of
regulatory
cell
death,
cuproptosis,
is
characterized
by
proteotoxicity,
which
ultimately
leads
to
death.
Its
targeting
has
emerged
as
a
promising
therapeutic
approach
for
oral
squamous
carcinoma
(OSCC).
Long
noncoding
RNAs
(lncRNAs)
participate
in
epigenetic
regulation
and
have
been
linked
the
progression,
prognosis,
treatment
OSCC.
Thus,
this
study
aimed
identify
new
cuproptosis-related
lncRNAs
(CRLs),
establish
predictive
models
clinical
immune
response,
drug
sensitivity,
provide
insights
into
escape
tumor
resistance.
Methods
present
screened
eight
CRLs
(THAP9-AS1,
STARD4-AS1,
WDFY3-AS2,
LINC00847,
CDKN2A-DT,
AL132800.1,
GCC2-AS1,
AC005746.1)
using
Lasso
Cox
regression
analysis
develop
an
eight-CRL
prognostic
model.
Patients
were
categorized
high-
low-risk
groups
risk
scores.
To
evaluate
ability
model,
Kaplan-Meier
analysis,
ROC
curves,
nomograms
employed.
Furthermore,
investigated
differences
function
anticancer
sensitivity
between
groups.
validate
expression
OSCC
lines
subjected
quantitative
real-time
fluorescence
PCR
(qRT-PCR).
Results
results
showed
that
high-risk
group
had
shorter
overall
survival
(OS)
time
patients.
demonstrated
score
was
independent
factor
poor
prognosis.
validity
model
confirmed
curve
nomogram
developed
predict
prognosis
patients
with
high
TMB
poorer
responded
better
immunotherapy
than
those
group.
Additionally,
scores
significantly
associated
Finally,
findings
qRT-PCR
supported
reliability
proposed
Conclusion
identified
established
8-CRL
represents
pathway
lncRNA
cuproptosis
This
provides
guidance
offers
insight
Frontiers in Cell and Developmental Biology,
Journal Year:
2024,
Volume and Issue:
12
Published: Sept. 25, 2024
Copper
(Cu)
is
an
essential
trace
element
involved
in
a
variety
of
biological
processes,
such
as
antioxidant
defense,
mitochondrial
respiration,
and
bio-compound
synthesis.
In
recent
years,
novel
theory
called
cuproptosis
has
emerged
to
explain
how
Cu
induces
programmed
cell
death.
targets
lipoylated
enzymes
the
tricarboxylic
acid
cycle
subsequently
triggers
oligomerization
dihydrolipoamide
S-acetyltransferase,
leading
loss
Fe–S
clusters
induction
heat
shock
protein
70.
Gynecological
malignancies
including
cervical
cancer,
ovarian
cancer
uterine
corpus
endometrial
carcinoma
significantly
impact
women’s
quality
life
even
pose
threat
their
lives.
Excessive
can
promote
progression
by
enhancing
tumor
growth,
proliferation,
angiogenesis
metastasis
through
multiple
signaling
pathways.
However,
there
are
few
studies
investigating
gynecological
cancers
relation
cuproptosis.
Therefore,
this
review
discusses
homeostasis
while
exploring
potential
use
for
prognosis
prediction
well
its
implications
treatment
cancers.
Additionally,
we
explore
application
ionophore
therapy
treating
malignancies.
World Journal of Surgical Oncology,
Journal Year:
2023,
Volume and Issue:
21(1)
Published: June 14, 2023
5-Methylcytosine
(m5C)
methylation
is
recognized
as
an
mRNA
modification
that
participates
in
biological
progression
by
regulating
related
lncRNAs.
In
this
research,
we
explored
the
relationship
between
m5C-related
lncRNAs
(mrlncRNAs)
and
head
neck
squamous
cell
carcinoma
(HNSCC)
to
establish
a
predictive
model.RNA
sequencing
information
were
obtained
from
TCGA
database,
patients
divided
into
two
sets
verify
risk
model
while
identifying
prognostic
mrlncRNAs.
Areas
under
ROC
curves
assessed
evaluate
effectiveness,
nomogram
was
constructed
for
further
prediction.
Subsequently,
tumor
mutation
burden
(TMB),
stemness,
functional
enrichment
analysis,
microenvironment,
immunotherapeutic
chemotherapeutic
responses
also
based
on
novel
model.
Moreover,
regrouped
subtypes
according
expression
of
mrlncRNAs.Assessed
model,
distinguished
low-MLRS
high-MLRS
groups,
showing
satisfactory
effects
with
AUCs
0.673,
0.712,
0.681
ROCs,
respectively.
Patients
groups
exhibited
better
survival
status,
lower
mutated
frequency,
stemness
but
more
sensitive
response,
whereas
group
appeared
have
higher
sensitivity
chemotherapy.
clusters:
cluster
1
displayed
immunosuppressive
2
behaved
hot
response.Referring
above
results,
established
lncRNA
prognosis,
TME,
TMB,
clinical
treatments
HNSCC
patients.
This
assessment
system
able
precisely
predict
patients'
prognosis
identify
cold
clearly
patients,
providing
ideas
treatment.