Targeting senescence and GATA4 in age-related cardiovascular disease: a comprehensive approach
Biogerontology,
Journal Year:
2025,
Volume and Issue:
26(1)
Published: Jan. 20, 2025
Language: Английский
Prevention and treatment of peri-implant fibrosis by functionally inhibiting skeletal cells expressing the leptin receptor
Nature Biomedical Engineering,
Journal Year:
2024,
Volume and Issue:
8(10), P. 1285 - 1307
Published: July 31, 2024
Language: Английский
Exosomal non-coding RNAs: Blueprint in colorectal cancer metastasis and therapeutic targets
Non-coding RNA Research,
Journal Year:
2023,
Volume and Issue:
8(4), P. 615 - 632
Published: Sept. 11, 2023
Colorectal
cancer
(CRC)
is
ranked
as
the
world's
third-most
prevalent
cancer,
and
metastatic
CRC
considerably
increases
cancer-related
fatalities
globally.
A
number
of
complex
mechanisms
that
are
strictly
controlled
at
molecular
level
involved
in
metastasis,
which
primary
reason
for
death
people
with
CRC.
Recently,
it
has
become
clear
exosomes,
small
extracellular
vesicles
released
by
non-tumorous
tumorigenic
cells,
play
a
critical
role
communication
mediators
among
tumor
microenvironment
(TME).
To
facilitate
between
TME
non-coding
RNAs
(ncRNAs)
crucial
recognized
potent
regulators
gene
expression
cellular
processes,
such
metastasis
drug
resistance.
NcRNAs
now
many
hallmarks
including
metastasis.
Exosomal
ncRNAs,
like
miRNAs,
circRNAs,
lncRNAs,
have
been
demonstrated
to
influence
contribute
However,
link
exosomal
ncRNAs
not
well
understood.
This
review
highlights
essential
roles
progression
disease
explores
therapeutic
choices
open
patients
who
metastases.
ncRNA
treatment
strategy
development
still
its
early
phases;
consequently,
additional
investigation
required
improve
delivery
methods
find
novel
targets
confirm
effectiveness
safety
these
therapies
preclinical
clinical
contexts.
Language: Английский
Role of long non-coding RNAs and TGF-β signaling in the regulation of breast cancer pathogenesis and therapeutic targets
Cytokine,
Journal Year:
2023,
Volume and Issue:
170, P. 156351 - 156351
Published: Aug. 30, 2023
The
cytokine
known
as
transforming
growth
factor
(TGF)
is
essential
for
cell
development,
differentiation,
and
apoptosis
in
BC.
TGF-β
dysregulation
can
either
promote
or
inhibit
tumor
it
a
key
signaling
pathway
BC
spread.
A
recently
identified
family
of
ncRNAs
lncRNAs
has
received
great
deal
effort
an
important
regulator
many
cellular
processes,
including
transcription
genes,
chromatin
remodeling,
progression
the
cycle,
posttranscriptional
processing.
Furthermore,
both
serve
early-stage
biomarkers
diagnosis
prognosis
also
play
significant
role
drug
resistance.
According
to
recent
studies,
regulate
by
modulating
its
cofactors
However,
particular
functions
controlling
are
not
well
understood
yet.
This
review
explores
lncRNAs'
functional
properties
suppressors
oncogenes
regulation
with
focus
on
dysregulated
signaling.
Further,
we
emphasize
roles
discover
new
treatment
strategies
better
comprehend
fundamental
pathways.
Language: Английский
A pan-cancer analysis indicates long noncoding RNA HAND2-AS1 as a potential prognostic, immunomodulatory and therapeutic biomarker in various cancers including colorectal adenocarcinoma
Pouria Samadi,
No information about this author
Mina Shahnazari,
No information about this author
Abolfazl Shekari
No information about this author
et al.
Cancer Cell International,
Journal Year:
2023,
Volume and Issue:
23(1)
Published: Dec. 2, 2023
The
HAND2-AS1
(HAND2
Antisense
RNA
1)
Long
noncoding
(lncRNA)
has
emerged
as
a
participant
in
the
initiation
of
various
cancer
types,
underscoring
its
pivotal
involvement
both
oncological
processes
and
immune
responses.
To
gain
deeper
insights
into
functional
nuances
identify
novel
avenues
for
immunotherapy,
comprehensive
evaluation
this
gene
was
undertaken.
Here,
based
on
co-expression
network
analysis
construction
interacting
lncRNA-mRNA
genes,
we
introduce
lncRNA,
emphasizing
key
roles
tumorigenesis
regulation.
Our
study
spans
across
33
distinct
revealing
HAND2-AS1's
aberrant
expression
patterns,
methylation
variations,
mutational
signatures,
engagement.
Across
majority
tumors,
exhibited
propensity
down-regulation,
remarkably
an
association
with
poor
survival
outcomes.
outcomes
enrichment
analyses
strongly
suggest
engagement
tumor
progression
pathways
diverse
classifications.
Additionally,
positive
correlation
between
infiltration
levels
cells,
encompassing
not
only
immunosuppressive
entities
such
tumor-associated
macrophages,
cancer-associated
fibroblasts,
Tregs,
but
also
effector
cells
like
NK
CD8+
T
spanning
pan-cancer
context.
Furthermore,
differential
appears
to
have
downstream
consequences
pathways,
thus
implicating
it
potential
regulator
types.
Finally,
employed
CRC
normal
samples
carry
out
clinical
validation
HAND2-AS1.
unveils
suppressor,
essential
role
surveillance.
increased
emerges
promising
candidate
prognostic
evaluation,
therapeutic
strategy,
focal
point
immunotherapeutic
interventions.
Language: Английский
Non-coding RNA profile for natural killer cell activity
Molecular and Cellular Probes,
Journal Year:
2023,
Volume and Issue:
72, P. 101935 - 101935
Published: Oct. 9, 2023
Natural
killer
cells
(NK
cells)
are
a
type
of
cytotoxic
lymphocytes
which
involved
in
innate
immunity,
alongside
with
assisting
adaptive
immune
response.
Since
they
have
effects,
disruptions
their
functionality
and
development
leads
to
variety
conditions,
whether
malignant
or
non-malignant.
The
profile
interaction
these
non-coding
RNAs
NK
different
conditions
is
extensively
studied,
it
now
approved
that
if
dysregulated,
detrimental
effects
on
cell
activity
can
contribute
the
pathogenesis
diverse
disorders.
In
this
review,
we
aim
at
thorough
inspection
role
cells,
broad
spectrum
including
blood-related
disorders,
viral
infections,
neurological
diseases,
gastrointestinal
lung
reproductive
system
other
types
maladies,
providing
insight
future
RNA-NK
studies.
Language: Английский
Feature Selection in Cancer Classification: Utilizing Explainable Artificial Intelligence to Uncover Influential Genes in Machine Learning Models
AI,
Journal Year:
2024,
Volume and Issue:
6(1), P. 2 - 2
Published: Dec. 27, 2024
This
study
investigates
the
use
of
machine
learning
(ML)
models
combined
with
explainable
artificial
intelligence
(XAI)
techniques
to
identify
most
influential
genes
in
classification
five
recurrent
cancer
types
women:
breast
(BRCA),
lung
adenocarcinoma
(LUAD),
thyroid
(THCA),
ovarian
(OV),
and
colon
(COAD).
Gene
expression
data
from
RNA-seq,
extracted
The
Cancer
Genome
Atlas
(TCGA),
were
used
train
ML
models,
including
decision
trees
(DTs),
random
forest
(RF),
XGBoost
(XGB),
which
achieved
accuracies
98.69%,
99.82%,
99.37%,
respectively.
However,
challenges
this
analysis
included
high
dimensionality
dataset
lack
transparency
models.
To
mitigate
these
challenges,
SHAP
(Shapley
Additive
Explanations)
method
was
applied
generate
a
list
features,
aiming
understand
characteristics
influenced
models’
decision-making
processes
and,
consequently,
prediction
results
for
tumor
types.
identified
119,
80,
10
RF,
XGB,
DT
respectively,
totaling
209
genes,
resulting
172
unique
genes.
new
list,
representing
0.8%
original
input
is
coherent
fully
explainable,
increasing
confidence
Additionally,
suggest
that
can
be
effectively
as
feature
selector
gene
data.
approach
not
only
enhances
model
but
also
maintains
performance,
highlighting
its
potential
identifying
biologically
relevant
features
may
serve
biomarkers
diagnostics
treatment
planning.
Language: Английский
A pan-cancer analysis indicates long noncoding RNA HAND2-AS1 as a potential prognostic, immunomodulatory and therapeutic biomarker in various cancers including colorectal adenocarcinoma
Pouria Samadi,
No information about this author
Mina Shahnazari,
No information about this author
Abolfazl Shekari
No information about this author
et al.
Research Square (Research Square),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Aug. 24, 2023
Abstract
The
HAND2-AS1
(HAND2
Antisense
RNA
1)
lncRNA
has
emerged
as
a
participant
in
the
initiation
of
various
cancer
types,
underscoring
its
pivotal
involvement
both
oncological
processes
and
immune
responses.
To
gain
deeper
insights
into
functional
nuances
identify
novel
avenues
for
immunotherapy,
comprehensive
evaluation
this
gene
was
undertaken.
Long
noncoding
RNAs
(lncRNAs)
are
rising
essential
regulators
expression
contributors
to
modulation.
Here,
based
on
co-expression
network
analysis
construction
interacting
lncRNA-mRNA
genes,
we
introduce
lncRNA,
emphasizing
key
roles
tumorigenesis
regulation.
Our
study
spans
across
33
distinct
revealing
HAND2-AS1's
aberrant
patterns,
methylation
variations,
mutational
signatures,
engagement.
Across
majority
tumors,
exhibited
propensity
down-regulation,
remarkably
an
association
with
poor
survival
outcomes.
outcomes
enrichment
analyses
strongly
suggest
engagement
tumor
progression
pathways
diverse
classifications.
Additionally,
positive
correlation
between
infiltration
levels
cells,
encompassing
not
only
immunosuppressive
entities
such
tumor-associated
macrophages,
cancer-associated
fibroblasts,
Tregs,
but
also
effector
cells
like
NK
CD8
+
T
spanning
pan-cancer
context.
Furthermore,
differential
appears
have
downstream
consequences
pathways,
thus
implicating
it
potential
regulator
types.
Finally,
employed
CRC
normal
samples
carry
out
clinical
validation
HAND2-AS1.
unveils
suppressor,
role
surveillance.
heightened
emerges
promising
candidate
prognostic
evaluation,
therapeutic
stratagem,
focal
point
immunotherapeutic
interventions.
Language: Английский