Research Square (Research Square),
Год журнала:
2022,
Номер
unknown
Опубликована: Дек. 8, 2022
Abstract
Objective
To
establish
a
prognostic
signature
for
lung
adenocarcinoma
(LUAD)
based
on
cuproptosis-related
long
non-coding
RNAs
(lncRNAs),
and
to
study
the
immune-related
functions
of
LUAD.
Methods
First,
transcriptome
data
clinical
related
LUAD
were
downloaded
from
Cancer
Genome
Atlas
(TCGA),
genes
analyzed
identify
lncRNAs.
Univariate
COX
analysis,
least
absolute
shrinkage
selection
operator
(LASSO)
multivariate
analysis
performed
analyze
lncRNAs,
was
established.
Second,
univariate
independent
analyses.
ROC
curves,
C
index,
survival
nomogram,
principal
component
(PCA)
evaluate
results
Finally,
gene
enrichment
analyses
function
also
carried
out.
Results
(1)
A
total
1,297
lncRNAs
screened.
(2)
containing
13
constructed
(NIFK-AS1,
AC026355.2,
SEPSECS-AS1,
AL360270.1,
AC010999.2,
ABCA9-AS1,
AC032011.1,
AL162632.3,
LINC02518,
LINC0059,
AL031600.2,
AP000346.1,
AC012409.4).
(3)
The
area
under
multi-indicator
curves
at
1,
3,
5
years
AUC1
=
0.742,
AUC2
0.708,
AUC3
0.762,
respectively.
riskscore
could
be
used
as
an
factor
that
other
indicators.
(4)
showed
biomarkers
primarily
amoebiasis,
wnt
signaling
pathway,
hematopoietic
cell
lineage.
ssGSEA
volcano
map
significant
differences
between
high-
low-risk
groups
in
functions,
such
human
leukocyte
antigen
(HLA),
Type_II_IFN_Reponse,
MHC_class_I,
Parainflammation
(
P
<
0.001).
Conclusions
Thirteen
may
molecular
markers
prognosis
BMC Bioinformatics,
Год журнала:
2023,
Номер
24(1)
Опубликована: Март 6, 2023
Abstract
Objective
To
establish
a
prognostic
signature
for
lung
adenocarcinoma
(LUAD)
based
on
cuproptosis-related
long
non-coding
RNAs
(lncRNAs),
and
to
study
the
immune-related
functions
of
LUAD.
Methods
First,
transcriptome
data
clinical
related
LUAD
were
downloaded
from
Cancer
Genome
Atlas
(TCGA),
genes
analyzed
identify
lncRNAs.
Univariate
COX
analysis,
least
absolute
shrinkage
selection
operator
(LASSO)
multivariate
analysis
performed
analyze
lncRNAs,
was
established.
Second,
univariate
independent
analyses.
Receiver
operating
characteristic
(ROC)
curves,
C
index,
survival
curve,
nomogram,
principal
component
(PCA)
evaluate
results
Finally,
gene
enrichment
analyses
function
also
carried
out.
Results
(1)
A
total
1,297
lncRNAs
screened.
(2)
containing
13
constructed
(NIFK-AS1,
AC026355.2,
SEPSECS-AS1,
AL360270.1,
AC010999.2,
ABCA9-AS1,
AC032011.1,
AL162632.3,
LINC02518,
LINC0059,
AL031600.2,
AP000346.1,
AC012409.4).
(3)
The
area
under
multi-indicator
ROC
curves
at
1,
3,
5
years
AUC1
=
0.742,
AUC2
0.708,
AUC3
0.762,
respectively.
risk
score
could
be
used
as
an
factor
that
other
indicators.
(4)
showed
biomarkers
primarily
amoebiasis,
wnt
signaling
pathway,
hematopoietic
cell
lineage.
ssGSEA
volcano
map
significant
differences
between
high-
low-risk
groups
in
functions,
such
human
leukocyte
antigen
(HLA),
Type_II_IFN_Reponse,
MHC_class_I,
Parainflammation
(
P
<
0.001).
Conclusions
Thirteen
may
molecular
prognosis
Annals of Medicine,
Год журнала:
2023,
Номер
55(2)
Опубликована: Ноя. 19, 2023
Background
Neutrophil
extracellular
traps
(NETs)
could
entrap
tumour
cells
and
promote
their
dissemination
metastasis.
Further
analysis
of
NETs-related
molecules
is
expected
to
provide
a
new
strategy
for
prognosis
prediction
treatment
lung
adenocarcinoma
(LUAD)
patients.
Phenomics,
Год журнала:
2024,
Номер
4(5), С. 430 - 452
Опубликована: Июль 8, 2024
Abstract
Osteosarcoma
is
the
most
common
malignant
bone
tumor
and
frequently
diagnosed
in
juvenile.
Cellular
senescence
a
fundamental
hallmark
of
osteosarcoma
plays
vital
role
initiation
progression
aging
tumorigenesis.
Long
non-coding
RNAs
(lncRNAs)
are
implicated
In
this
study,
six
cellular
senescence-related
lncRNAs
with
independent
prognostic
significance
juvenile
patients
were
identified
through
univariate
Cox
regression
analysis,
least
absolute
shrinkage
selection
operator
(LASSO)
multivariate
analysis.
Prognostic
was
further
confirmed
by
Kaplan–Meier
(KM)
survival
curves,
co-expression
interaction
networks,
sankey
diagrams.
A
model
genes
then
constructed
using
analysis
based
on
these
genes.
High-
low-risk
groups
according
to
median
risk
score
calculated
model.
The
favorable
demonstrated
receiver
operating
characteristic
(ROC)
distribution
scatter
plots
lncRNA
expression
heatmaps.
Furthermore,
validated
enrichment
immunological
correlation
m
6
drug
sensitivity
These
findings
important
for
improving
prognosis
understanding
mechanisms
underlying
development.
Chinese Medical Journal - Pulmonary and Critical Care Medicine,
Год журнала:
2023,
Номер
1(2), С. 94 - 101
Опубликована: Апрель 18, 2023
Pyroptosis
is
a
type
of
programed
cell
death
that
differs
from
apoptosis,
ferroptosis,
or
necrosis.
Numerous
studies
have
reported
it
plays
critical
role
in
tumorigenesis
and
modification
the
tumor
microenvironment
multiple
tumors.
In
this
review,
we
briefly
describe
canonical,
non-canonical,
alternative
mechanisms
pyroptotic
death.
We
also
summarize
potential
roles
pyroptosis
oncogenesis,
development,
lung
cancer
treatment,
including
chemotherapy,
radiotherapy,
targeted
therapy,
immunotherapy.
has
double-edged
effects
on
modulation
environment
treatment.
Further
exploration
pyroptosis-based
drugs
could
provide
novel
therapeutic
strategies
for
cancer.
Journal of bone oncology,
Год журнала:
2023,
Номер
43, С. 100506 - 100506
Опубликована: Окт. 5, 2023
Mitochondrial
damage
is
related
to
the
functional
properties
of
immune
cells
as
well
tumorigenesis
and
progression.
Nevertheless,
there
an
absence
concerning
systematic
evaluation
mitochondria-associated
lncRNAs
(MALs)
in
profile
tumor
microenvironment
osteosarcoma
patients.
Based
on
transcriptomic
clinicopathological
data
from
TARGET
database,
MAL-related
patterns
were
ascertained
by
consistent
clustering,
gene
set
variation
analysis
different
was
completed.
Next,
a
MAL-derived
scoring
system
created
using
Cox
LASSO
regression
analyses
validated
Kaplan-Meier
ROC
curves.
The
GSEA,
ESTIMATE,
CIBERSORT
algorithms
utilized
characterize
status
underlying
biological
functions
MAL
score
groups.
risk
scores
stabilized
outperformed
traditional
features
reliably
predict
5-year
survival
cohorts.
Moreover,
patients
with
increased
observed
suffer
poorer
prognosis,
higher
purity,
immunosuppressive
microenvironment.
estimated
half-maximal
inhibitory
concentrations,
low-MAL
group
benefited
more
gemcitabine
docetaxel,
less
thapsigargin
sunitinib
compared
high-MAL
group.
Pan-cancer
demonstrated
that
six
hub
MALs
strongly
correlated
clinical
outcomes,
subtypes,
stemness
indices
various
common
cancers.
Finally,
we
verified
expression
qRT-PCR.
In
summary,
identified
crosstalk
between
prognostic
tumor-infiltrating
osteosarcoma,
providing
potential
strategy
ameliorate
stratification
management.
Functional & Integrative Genomics,
Год журнала:
2023,
Номер
23(4)
Опубликована: Окт. 21, 2023
Abstract
Lung
cancer
is
the
most
common
type
of
malignant
tumor
that
affects
people
in
China
and
even
across
globe,
as
it
exhibits
highest
rates
morbidity
mortality.
adenocarcinoma
(LUAD)
a
lung
with
very
high
incidence.
The
purpose
this
study
was
to
identify
potential
biomarkers
could
be
used
forecast
prognosis
improve
existing
therapy
options
for
treating
LUAD.
Clinical
RNA
sequencing
data
LUAD
patients
were
retrieved
from
TCGA
database,
while
mitochondria-associated
gene
sets
acquired
MITOMAP
database.
Thereafter,
Pearson
correlation
analysis
carried
out
screen
lncRNAs.
Furthermore,
univariate
Cox
Lasso
regression
analyses
initial
screening
target
lncRNAs
prognostic
before
they
incorporated
into
multivariate
Hazard
ratio
model.
Then,
clinical
data,
concordance
index,
Kaplan–Meier
(K-M)
curves,
clinically-relevant
subjects
approved
by
Characteristic
Curves
(ROC)
employed
assessing
model's
predictive
value.
Additionally,
differences
immune-related
functions
biological
pathway
enrichment
between
high-
low-risk
groups
examined.
Nomograms
developed
anticipate
OS
within
1-,
3-,
5
years,
drug
sensitivity
immunological
checkpoints
compared.
In
study,
2175
screened.
Univariate,
multivariate,
select
13
an
independent
significance,
model
developed.
established
prediction
revealed
significant
variations
patients.
AUC-ROC
values
after
1,
3,
years
seen
0.746,
0.692,
0.726,
respectively.
results
suggested
riskscore
factor
differed
other
characteristics.
After
analyzing
findings
noted
both
risk
showed
their
immune
functioning,
checkpoint
genes,
sensitivity.
accurately
independently
predicted
using
included
Frontiers in Pharmacology,
Год журнала:
2023,
Номер
14
Опубликована: Сен. 7, 2023
Introduction:
Lung
adenocarcinoma
is
a
common
cause
of
mortality
in
patients
with
cancer.
Recent
studies
have
indicated
that
copper-related
cell
death
may
not
occur
the
same
way
as
previously
described.
Long
non-coding
RNAs
(lncRNAs)
play
key
role
occurrence
and
development
tumors;
however,
relationship
between
cuproptosis
lncRNAs
tumorigenesis
lung
(LUAD)
treatment
has
been
well
established.
Our
study
aimed
to
construct
model
analyze
prognosis
using
carcinogenesis-related
lncRNA
(CR)
signature.
Methods:
The
transcriptional
profiles
507
samples
from
Cancer
Genome
Atlas
were
assessed.
Cox
regression
co-expression
analyses,
least
absolute
shrinkage
selection
operator
(LASSO)
used
filter
CR
develop
model.
expression
status
six
prognostic
CRs
was
classify
all
into
high-
low-risk
groups.
overall
disease-free
survival
rate
compared
two
Gene
Ontology
Kyoto
Encyclopedia
Genes
Genomes
identify
pathways
mechanisms
involved
this
Subsequently,
immunotherapy
response,
sensitivity,
correlation
analyses
for
several
anti-tumor
medications
performed.
In
vitro
experiments,
including
qPCR,
conducted
nine
lines
16
pairs
para-carcinoma
tissues.
Results:
After
confirmation
ROC
curve,
category
benefited
both
survival.
analysis
highlighted
movement
qPCR
results
showed
levels
carcinoma
tissues,
which
accordance
AL138778.1
protective
factor
can
weaken
invasion
migration
A549
cells,
AL360270.1
hazardous
promotes
cells.
According
model,
targeted
treatments
such
axitinib,
gefitinib,
linsitinib,
pazopanib,
sorafenib
be
more
appropriate
patients.
Conclusion:
Six
(AL360270.1,
AL138778.1,
CDKN2A-DT,
AP003778.1,
LINC02718,
AC034102.8)
predictive
values
evaluate
undergoing
therapy.
Abstract
Ovarian
cancer
is
a
leading
cause
of
death
in
females
with
gynecologic
cancers.
Pyroptosis
relatively
new
discovered
programmed
cell
that
believed
to
be
associated
inflammation.
However,
studies
on
pyroptosis-related
lncRNAs
ovarian
are
limited.
In
this
study,
we
identified
29
genes
and
screened
out
72
lncRNAs.
Furthermore,
the
were
eliminated
2
survival-related
using
Cox
regression
Lasso
build
an
prognostic
prediction
signature
further
validated
test
set.
We
adopted
riskscore
from
two-gene
signature,
survival
low-risk
group
was
higher
than
high-risk
group.
Functional
enrichment
analysis
indicated
differentially
expressed
(DEGs)
between
two
risk
groups
tumor
immunity.
This
study
implies
closely
related
immunity
could
potential
therapeutic
factors
for
treatment.
