The Journal of Gene Medicine,
Journal Year:
2023,
Volume and Issue:
26(1)
Published: Nov. 27, 2023
Abstract
Introduction
Endometrial
cancer
(EC)
is
a
prevalent
malignancy
affecting
the
female
population,
with
an
increasing
incidence
among
younger
age
groups.
DNA
methylation,
common
epigenetic
modification,
well‐established
to
play
key
role
in
progression.
We
suspected
whether
methylation
could
be
used
as
biomarkers
for
EC
prognosis.
Methods
In
present
study,
we
analyzed
bulk
RNA‐sequencing
data
from
544
patients
and
430
TCGA‐UCEC
cohort.
applied
weighted
correlation
network
analysis
select
gene
set
associated
panoptosis.
conducted
between
transcriptomic
of
selected
genes
identify
valuable
sites.
These
sites
were
further
screened
by
Cox
regression
least
absolute
shrinkage
selection
operator
analysis.
Immune
microenvironment
differences
high‐risk
low‐risk
groups
assessed
using
single‐sample
enrichment
analysi,
xCell
MCPcounter
algorithms.
Results
Our
results
identified
five
(cg03906681,
cg04549977,
cg06029846,
cg10043253
cg15658376)
significant
prognostic
value
EC.
constructed
model
these
sites,
demonstrating
satisfactory
predictive
performance.
The
group
showed
higher
immune
cell
infiltration.
Notably,
site
cg03906681
was
negatively
related
CD8
T
infiltration,
whereas
cg04549977
exhibited
positive
correlations
particularly
macrophages,
activated
B
cells,
dendritic
cells
myeloid‐derived
suppressor
cells.
PD0325901_1060
strongly
correlated
risk
scores,
indicating
potential
therapeutic
response
patients.
Conclusion
have
developed
robust
methylation‐based
EC,
which
holds
promise
improving
prognosis
prediction
personalized
treatment
approaches.
findings
may
contribute
better
management
patients,
identifying
those
at
who
benefit
tailored
interventions.
Frontiers in Immunology,
Journal Year:
2024,
Volume and Issue:
15
Published: Oct. 28, 2024
Current
research
is
focused
on
utilizing
EVs
as
a
biopsy
tool
to
improve
the
diagnostic
accuracy
of
HCC,
reduce
surgical
risk,
and
explore
their
potential
in
modulating
drug
resistance
advancing
immunotherapeutic
strategies.
Extracellular
vesicles
(EVs)
have
been
increasingly
recognized
important
non-invasive
biomarkers
hepatocellular
carcinoma
(HCC)
due
presence
variety
biomolecules
within
them,
such
proteins
RNAs,
etc.
play
key
role
early
detection,
diagnosis,
treatment,
prognostic
monitoring
HCC.
These
influence
development
HCC
therapeutic
response
ways,
including
influencing
tumor
microenvironment,
resistance,
participating
immune
regulatory
mechanisms.
In
addition,
specific
molecules
miRNAs
are
regarded
markers
for
treatment
recurrence
which
certain
space
prospects.
this
paper,
we
summarize
aspects
markers,
also
discuss
questions
that
may
be
faced
markers.
Frontiers in Immunology,
Journal Year:
2024,
Volume and Issue:
15
Published: Oct. 31, 2024
Hepatocellular
carcinoma
(HCC)
is
a
high-incidence,
poor-prognosis
malignancy
worldwide,
requiring
new
strategies
for
treatment.
Ubiquitination,
especially
ubiquitination
through
E3
ubiquitin
ligases,
plays
an
indispensable
role
in
the
development
and
progression
of
HCC.
ligases
are
crucial
enzymes
ubiquitination,
controlling
degradation
specific
substrate
proteins
influencing
various
cellular
functions,
such
as
tumor
cell
proliferation,
apoptosis,
migration,
immune
evasion.
In
this
review,
we
systematically
summarize
mechanisms
HCC,
with
focus
on
significance
RING,
HECT,
RBR
types
HCC
progression.
The
review
also
looks
at
potential
targeting
to
modulate
microenvironment
(TME)
increase
immunotherapy
efficacy.
Future
studies
will
optimize
treatment
by
formulating
inhibitors
or
approaches
that
be
based
gene
therapy
order
overcome
resistance
issues
present
treatments
create
optimism
journey
patients.
Discover Oncology,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: Oct. 13, 2024
The
aim
of
this
study
was
to
elucidate
the
critical
role
autophagy-related
gene
aggregation
in
gastric
cancer
tumor
microenvironment
cells
and
investigate
their
major
roles
cellular
functions.
In
particular,
expression
these
genes
tumor-associated
fibroblast
subtypes
scrutinized
an
attempt
explain
cell-subpopulation-specific
cell–cell
communication
regulation
study,
single-cell
RNA
sequencing
data
were
first
analyzed
multiple
steps,
including
preprocessing,
cell
clustering,
classification.
Cell
subpopulations
patterns
identified
using
unsupervised
non-negative
matrix
factorization
(NMF)
techniques.
dynamic
aggregates
various
types
deciphered
by
pseudotime
trajectory
analysis
(PTA).
Intercellular
performed
CellChat
R
software
package,
revealing
intricate
exchange
key
signaling
molecules
between
subpopulations,
SCENIC
used
identify
regulatory
networks
reveal
mechanisms
behind
heterogeneity.
associated
with
pan-apoptosis
NMF
decomposition
analysis.
Cell–cell
revealed
subpopulations.
Dynamic
aggregated
pseudotemporal
STAD
observed
PTA.
subtype,
different
ligand-receptor
interactions
immunomodulation
observed.
By
deeply
analyzing
comparing
within
intercellular
communication,
provides
new
insights
into
pan-apoptosis-related
regulating
immune
responses
functions
cancer.
These
findings
pave
way
for
further
exploration
tumorigenesis
regulation,
as
well
laying
foundation
potential
therapeutic
strategies.
Discover Oncology,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: Nov. 18, 2024
Autophagy
is
a
crucial
mechanism
for
maintaining
cellular
homeostasis
and
responding
to
environmental
stress,
it
closely
linked
tumor
drug
resistance.
Through
multi-omics
analysis,
this
study
explores
the
expression
patterns,
functions,
potential
role
of
autophagy-related
gene
Angiotensinogen
(AGT)
in
colorectal
cancer
(CRC),
particularly
relation
chemotherapy
This
first
compared
AGT
between
CRC
normal
tissues
using
GTEx
TCGA
databases.
Differences
were
assessed
Wilcoxon
Rank
Sum
Tests,
prognostic
impact
was
evaluated
through
univariate
Cox
survival
analysis
meta-analysis.
Functional
enrichment
performed
limma
fgsea
packages.
Drug
sensitivity
conducted
based
on
CTRP
database,
while
immune
infiltration
CIBERSORT
ESTIMATE
methods.
Spatial
transcriptomic
characteristics
explored
10x
Visium
technology
deconvolution
investigate
correlation
levels
cell
content.scRNA-seq
data
from
sourced
Tumor
Immune
Single
Cell
Hub
(TISCH).Functional
annotation
with
Single-sample
set
(SSGSEA),
pseudotime
Monocle
2
mapped
their
developmental
trajectories.
The
inhibitors
treatment
analyzed
drug-target
Mendelian
randomization.Finally,
Phenome-Wide
Association
Study
(PheWAS)
evaluate
genetic
associations
side
effects
inhibitors.
significantly
higher
associated
shorter
recurrence-free
(RFS).
signaling
pathways
markedly
enriched
high
group.
positively
correlated
resistance
chemotherapeutic
agents
such
as
gemcitabine,
cisplatin,
paclitaxel,
5-fluorouracil.
revealed
that
predominantly
expressed
malignant
regions.
Single-cell
identified
21
distinct
subpopulations
across
13
major
types.
samples,
especially
fibroblast
C6
subpopulation.
Tumor-related
C1,
C5,
C6,
C8
subpopulations.
Pseudotime
these
subpopulations,
terminal
stages.Drug-target
randomization
indicated
negative
causal
relationship
risk
both
heart
failure(ORdrug
=
0.950,
95%
CI,
0.912–0.990;
P
0.014)
CRC(ORdrug
0.874,
CI:
0.792–0.964;
0.007).PheWAS
showed
no
other
traits,
indicating
its
specificity
low
effects.
Elevated
chemotherapy,
inhibition
may
offer
therapeutic
avenue
cancer.
Frontiers in Immunology,
Journal Year:
2024,
Volume and Issue:
15
Published: Nov. 25, 2024
Hepatocellular
carcinoma
(HCC)
is
a
common
malignancy
worldwide,
and
its
development
closely
related
to
abnormalities
in
iron
metabolism.
This
study
aims
systematically
analyze
changes
metabolism
the
tumor
microenvironment
of
HCC
using
single-cell
sequencing
technology,
investigate
potential
mechanisms
by
which
regulation
affects
survival
liver
cancer
patients.
The Journal of Gene Medicine,
Journal Year:
2023,
Volume and Issue:
26(1)
Published: Nov. 27, 2023
Abstract
Introduction
Endometrial
cancer
(EC)
is
a
prevalent
malignancy
affecting
the
female
population,
with
an
increasing
incidence
among
younger
age
groups.
DNA
methylation,
common
epigenetic
modification,
well‐established
to
play
key
role
in
progression.
We
suspected
whether
methylation
could
be
used
as
biomarkers
for
EC
prognosis.
Methods
In
present
study,
we
analyzed
bulk
RNA‐sequencing
data
from
544
patients
and
430
TCGA‐UCEC
cohort.
applied
weighted
correlation
network
analysis
select
gene
set
associated
panoptosis.
conducted
between
transcriptomic
of
selected
genes
identify
valuable
sites.
These
sites
were
further
screened
by
Cox
regression
least
absolute
shrinkage
selection
operator
analysis.
Immune
microenvironment
differences
high‐risk
low‐risk
groups
assessed
using
single‐sample
enrichment
analysi,
xCell
MCPcounter
algorithms.
Results
Our
results
identified
five
(cg03906681,
cg04549977,
cg06029846,
cg10043253
cg15658376)
significant
prognostic
value
EC.
constructed
model
these
sites,
demonstrating
satisfactory
predictive
performance.
The
group
showed
higher
immune
cell
infiltration.
Notably,
site
cg03906681
was
negatively
related
CD8
T
infiltration,
whereas
cg04549977
exhibited
positive
correlations
particularly
macrophages,
activated
B
cells,
dendritic
cells
myeloid‐derived
suppressor
cells.
PD0325901_1060
strongly
correlated
risk
scores,
indicating
potential
therapeutic
response
patients.
Conclusion
have
developed
robust
methylation‐based
EC,
which
holds
promise
improving
prognosis
prediction
personalized
treatment
approaches.
findings
may
contribute
better
management
patients,
identifying
those
at
who
benefit
tailored
interventions.