Non-coding RNAs: emerging biomarkers and therapeutic targets in cancer and inflammatory diseases
Basma Hossam Abdelmonem,
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Lereen T. Kamal,
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Lilian Waheed Wardy
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et al.
Frontiers in Oncology,
Journal Year:
2025,
Volume and Issue:
15
Published: March 10, 2025
Non-coding
RNAs
(ncRNAs)
have
a
significant
role
in
gene
regulation,
especially
cancer
and
inflammatory
diseases.
ncRNAs,
such
as
microRNA,
long
non-coding
RNAs,
circular
alter
the
transcriptional,
post-transcriptional,
epigenetic
expression
levels.
These
molecules
act
biomarkers
possible
therapeutic
targets
because
aberrant
ncRNA
has
been
directly
connected
to
tumor
progression,
metastasis,
response
therapy
research.
ncRNAs’
interactions
with
multiple
cellular
pathways,
including
MAPK,
Wnt,
PI3K/AKT/mTOR,
impact
processes
like
proliferation,
apoptosis,
immune
responses.
The
potential
of
RNA-based
therapeutics,
anti-microRNA
microRNA
mimics,
restore
normal
is
being
actively
studied.
Additionally,
tissue-specific
patterns
ncRNAs
offer
unique
opportunities
for
targeted
therapy.
Specificity,
stability,
responses
are
obstacles
use
ncRNAs;
however,
novel
strategies,
modified
oligonucleotides
delivery
systems,
developed.
profiling
may
result
more
individualized
successful
treatments
precision
medicine
advances,
improving
patient
outcomes
creating
early
diagnosis
monitoring
opportunities.
current
review
aims
investigate
roles
diseases,
focusing
on
their
mechanisms
regulation
implications
non-invasive
diagnostics
therapies.
A
comprehensive
literature
was
conducted
using
PubMed
Google
Scholar,
research
published
between
2014
2025.
Studies
were
selected
based
rigorous
inclusion
criteria,
peer-reviewed
status
relevance
Non-English,
non-peer-reviewed,
inconclusive
studies
excluded.
This
approach
ensures
that
findings
presented
high-quality
relevant
sources.
Language: Английский
Development of a prognostic prediction model for non-smoking lung adenocarcinoma based on pathological information and laboratory hematologic indicators: a multicenter study
Run Xiang,
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Peihong Hu,
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Xiaoxiong Xiao
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et al.
Frontiers in Immunology,
Journal Year:
2025,
Volume and Issue:
16
Published: March 14, 2025
To
develop
a
simple
and
practical
model
to
predict
the
prognostic
survival
of
non-smoking
patients
with
lung
adenocarcinoma
by
combining
general
pathological
information
laboratory
hematologic
indicators.
Cox
univariate
multivariate
analyses
were
used
identify
variable
A
proportional
hazards
was
constructed
based
on
selected
variables
compare
outcomes
between
high-and
low-risk
groups
validate
model's
performance.
Subsequently,
nomogram
established
systematically
evaluate
impact
prognosis.
Data
from
four
hospitals
retrospectively
collected.
We
enrolled
1,172
patients,
this
includes
372
external
validation
data.
Multivariate
analysis
identified
six
significant
(P
<
0.05):
tumor
TNM
stage,
size,
white
blood
cell
count,
neutrophil
percentage,
lymphocyte
hemoglobin
level.
combined
these
build
model.
The
C-index
training
set
is
0.811
(0.780-0.842),
value
0.786
(0.737-0.835)
in,test
0.810
(0.772-0.847)
in
set.
area
under
curve
(AUC)
results
predicted
3-years
overall
(OS)
three
data
sets
0.850,
0.819,
0.860,
respectively.
These
values
for
5-years
0.811,
0.771,
0.849.
Stratified
staging
showed
that
effectively
distinguished
0.0001).
High-risk
demonstrated
significantly
poorer
prognosis
compared
0.001).
levels
adenocarcinoma.
Compared
more
studied
markers
at
present,
indicators
our
do
not
need
conversion,
Our
provides
useful
reference
personalized
diagnosis
treatment
clinical
practice.
Language: Английский
Ferroptosis meets inflammation: a new frontier in cancer therapy
Hu Liu,
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Hui Xue,
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Qian Guo
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et al.
Cancer Letters,
Journal Year:
2025,
Volume and Issue:
unknown, P. 217696 - 217696
Published: April 1, 2025
Language: Английский
Different Intensities of Physical Activity and Risk of Male Genital Cancers: Exploring Potential Causal Relationships
Kexin Zhen,
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Lei Huo,
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Tao Zhu
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et al.
American Journal of Men s Health,
Journal Year:
2025,
Volume and Issue:
19(2)
Published: March 1, 2025
Physical
activity
is
associated
with
cancer
of
the
male
genitalia.
However,
genetic
causality
this
association
remains
unclear.
In
study,
Mendelian
randomization
(MR)
was
used
to
explore
potential
causal
relationship
between
different
intensities
physical
and
This
study
utilized
single
nucleotide
polymorphisms
(SNPs)
vigorous
exercise
obtained
from
published
genome-wide
studies
(GWAS)
summary
data
genital
GWAS.
The
main
analysis
method
inverse
variance
weighted
(IVW)
for
two-sample
MR
analysis.
heterogeneity
results
assessed
using
Cochran’s
Q
statistic,
while
horizontal
pleiotropy
MR-Egger.
Sensitivity
included
a
“leave-one-out”
test.
showed
that
light
DIY
risk
factor
(OR
=
1.045,
95%
confidence
interval
[1.004,
1.089],
p
.033).
result
passed
sensitivity
found
effect
activities
on
cancer.
Future
should
further
impact
types
specific
improve
relevant
prevention
strategies.
Language: Английский