Frontiers in Oncology,
Journal Year:
2024,
Volume and Issue:
14
Published: May 24, 2024
Objective
The
purpose
of
this
study
was
to
construct
a
nomogram
model
based
on
the
general
characteristics,
histological
features,
pathological
and
immunohistochemical
results,
inflammatory
nutritional
indicators
patients
so
as
effectively
predict
overall
survival
(OS)
progression-free
(PFS)
with
non-small
cell
lung
cancer
(NSCLC)
after
surgery.
Methods
Patients
NSCLC
who
received
surgical
treatment
in
our
hospital
from
January
2017
June
2021
were
selected
subjects.
predictors
OS
PFS
evaluated
by
univariate
multivariable
Cox
regression
analysis
using
proportional
risk
model.
Based
results
multi-factor
analysis,
established
R
package.
bootstrap
method
(repeated
sampling
for
1
000
times)
used
internally
verify
model,
C-index
represent
prediction
performance
calibration
graph
visually
its
compliance,
decision
curve
(DCA)
evaluate
application
value
Results
Univariate
multivariate
analyses
identify
independent
prognostic
factors
postoperative
disease
progression
operable
patients,
values
0.927
(907–0.947)
0.944
(0.922–0.966),
respectively.
showed
that
had
high
predictive
performance.
Calibration
curves
1-year,
2-year,
3-year
show
degree
agreement
between
predicted
probability
actual
observed
probability.
In
addition,
DCA
has
good
clinical
value.
Conclusion
We
prognosis
surgery,
which
can
guide
clinicians
make
best
decision.
Journal of Translational Medicine,
Journal Year:
2024,
Volume and Issue:
22(1)
Published: July 29, 2024
Abstract
Circular
RNAs
(circRNAs)
possess
unique
biological
properties
and
distribution
characteristics
that
enable
a
variety
of
functions.
N6-methyladenosine
(m6A),
prevalent
epigenetic
modification
in
organisms,
is
regulated
by
factors
including
methyltransferases
(writers),
demethylases
(erasers),
m6A-binding
proteins
(readers).
These
play
critical
roles
various
pathophysiological
processes.
There
growing
evidence
m6A
modifications
are
common
within
circRNAs,
affecting
their
synthesis,
translation,
translocation,
degradation,
stability.
Additionally,
circRNAs
regulate
processes
influence
modifications.
This
review
explores
the
metabolism
functions
interactions,
specific
regulatory
mechanisms
different
tumors,
offering
insights
into
m6A-circRNA
interaction
cancer.
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(2), P. e24811 - e24811
Published: Jan. 1, 2024
Lung
cancer
is
a
global
public
health
issue,
with
non-small
cell
lung
(NSCLC)
accounting
for
80-85
%
of
cases.
With
over
two
million
new
diagnoses
annually,
understanding
the
complex
evolution
this
disease
crucial.
The
development
involves
interplay
genetic,
epigenetic,
and
environmental
factors,
leading
key
oncogenes
tumor
suppressor
genes
to
disorder,
activating
related
signaling
pathway.
Non-coding
RNAs
(ncRNAs),
including
microRNAs
(miRNAs),
long
non-coding
RNA
(lncRNAs),
circular
(circRNAs)
are
unique
transcripts
diverse
biological
functions.
These
ncRNAs
generated
through
genome
transcription
play
essential
roles
in
cellular
processes.
Epigenetic
modifications
such
as
DNA
methylation,
N6-methyladenosine
(m6A)
modification,
histone
methylation
have
gained
significant
attention
NSCLC
research.
complexity
interactions
among
these
contribute
precise
regulation
development.
This
review
comprehensively
summarizes
associations
between
different
discusses
their
effects
on
NSCLC.
By
elucidating
relationships,
we
aim
advance
our
pathogenesis
identify
potential
therapeutic
targets
devastating
disease.
Frontiers in Oncology,
Journal Year:
2024,
Volume and Issue:
14
Published: May 24, 2024
Objective
The
purpose
of
this
study
was
to
construct
a
nomogram
model
based
on
the
general
characteristics,
histological
features,
pathological
and
immunohistochemical
results,
inflammatory
nutritional
indicators
patients
so
as
effectively
predict
overall
survival
(OS)
progression-free
(PFS)
with
non-small
cell
lung
cancer
(NSCLC)
after
surgery.
Methods
Patients
NSCLC
who
received
surgical
treatment
in
our
hospital
from
January
2017
June
2021
were
selected
subjects.
predictors
OS
PFS
evaluated
by
univariate
multivariable
Cox
regression
analysis
using
proportional
risk
model.
Based
results
multi-factor
analysis,
established
R
package.
bootstrap
method
(repeated
sampling
for
1
000
times)
used
internally
verify
model,
C-index
represent
prediction
performance
calibration
graph
visually
its
compliance,
decision
curve
(DCA)
evaluate
application
value
Results
Univariate
multivariate
analyses
identify
independent
prognostic
factors
postoperative
disease
progression
operable
patients,
values
0.927
(907–0.947)
0.944
(0.922–0.966),
respectively.
showed
that
had
high
predictive
performance.
Calibration
curves
1-year,
2-year,
3-year
show
degree
agreement
between
predicted
probability
actual
observed
probability.
In
addition,
DCA
has
good
clinical
value.
Conclusion
We
prognosis
surgery,
which
can
guide
clinicians
make
best
decision.
