Signature Construction Associated with Tumor-Infiltrating Macrophages Identifies IRF8 as a Novel Biomarker for Immunotherapy in Advanced Gastric Cancer
Wanqian Liao,
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Yu Wang,
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Rui Wang
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et al.
International Journal of Molecular Sciences,
Journal Year:
2025,
Volume and Issue:
26(3), P. 1089 - 1089
Published: Jan. 27, 2025
Advanced
gastric
cancer
(AGC)
is
characterized
by
poor
prognosis
and
limited
responsiveness
to
immunotherapy.
Tumor-associated
macrophages
(TAMs)
play
a
pivotal
role
in
progression
therapeutic
outcomes.
In
this
study,
we
developed
novel
gene
signature
associated
with
M1-like
TAMs
using
data
from
the
Gene
Expression
Omnibus
(GEO)
The
Cancer
Genome
Atlas
(TCGA)
predict
immunotherapy
response.
This
was
determined
as
an
independent
prognostic
indicator
for
AGC,
high-risk
patients
exhibiting
immunosuppressive
tumor
immune
microenvironment
(TIME)
poorer
survival
Furthermore,
Interferon
regulatory
factor
8
(IRF8)
identified
key
validated
through
vitro
vivo
experiments.
IRF8
overexpression
reshaped
suppressive
TIME,
leading
increased
presence
of
TAMs,
IFN-γ+
CD8+
T
cells,
Granzyme
B+
cells.
Notably,
combination
anti-PD-1
therapy
significantly
inhibited
growth
syngeneic
mouse
models.
AGC
elevated
expression
were
found
be
more
responsive
treatment.
These
findings
highlight
potential
biomarkers
evaluation
offering
insights
that
could
guide
personalized
treatment
strategies.
Language: Английский
Cancer stem cells and tumor-associated macrophages as mates in tumor progression: mechanisms of crosstalk and advanced bioinformatic tools to dissect their phenotypes and interaction
Frontiers in Immunology,
Journal Year:
2025,
Volume and Issue:
16
Published: Feb. 6, 2025
Cancer
stem
cells
(CSCs)
are
a
small
subset
within
the
tumor
mass
significantly
contributing
to
cancer
progression
through
dysregulation
of
various
oncogenic
pathways,
driving
growth,
chemoresistance
and
metastasis
formation.
The
aggressive
behavior
CSCs
is
guided
by
several
intracellular
signaling
pathways
such
as
WNT,
NF-kappa-B,
NOTCH,
Hedgehog,
JAK-STAT,
PI3K/AKT1/MTOR,
TGF/SMAD,
PPAR
MAPK
kinases,
well
extracellular
vesicles
exosomes,
molecules
cytokines,
chemokines,
pro-angiogenetic
growth
factors,
which
finely
regulate
CSC
phenotype.
In
this
scenario,
microenvironment
(TME)
key
player
in
establishment
permissive
niche,
where
engage
intricate
communications
with
diverse
immune
cells.
"oncogenic"
mainly
represented
B
T
lymphocytes,
NK
cells,
dendritic
Among
macrophages
exhibit
more
plastic
adaptable
phenotype
due
their
different
subpopulations,
characterized
both
immunosuppressive
inflammatory
phenotypes.
Specifically,
tumor-associated
(TAMs)
create
an
milieu
production
plethora
paracrine
factors
(IL-6,
IL-12,
TNF-alpha,
TGF-beta,
CCL1,
CCL18)
promoting
acquisition
stem-like,
invasive
metastatic
TAMs
have
demonstrated
ability
communicate
via
direct
ligand/receptor
(such
CD90/CD11b,
LSECtin/BTN3A3,
EPHA4/Ephrin)
interaction.
On
other
hand,
exhibited
capacity
influence
creating
favorable
for
progression.
Interestingly,
bidirectional
TME
leads
epigenetic
reprogramming
sustains
malignant
transformation.
Nowadays,
integration
biological
computational
data
obtained
cutting-edge
technologies
(single-cell
RNA
sequencing,
spatial
transcriptomics,
trajectory
analysis)
has
improved
comprehension
biunivocal
multicellular
dialogue,
providing
comprehensive
view
heterogeneity
dynamics
CSCs,
uncovering
alternative
mechanisms
evasion
therapeutic
resistance.
Moreover,
combination
biology
will
lead
development
innovative
target
therapies
dampening
CSC-TME
Here,
we
aim
elucidate
most
recent
insights
on
complex
interactions
specifically
TAMs,
tracing
exhaustive
scenario
from
primary
Language: Английский
Comprehensive analysis and experimental validation of disulfidptosis-associated prognostic signature and immune microenvironment characterization of gastric cancer
Huangjie Zhang,
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Jinguo Hu,
No information about this author
Yuanqiang Li
No information about this author
et al.
Cancer Immunology Immunotherapy,
Journal Year:
2025,
Volume and Issue:
74(4)
Published: Feb. 25, 2025
Gastric
cancer
(GC)
is
one
of
the
most
common
causes
cancer-related
death
worldwide.
As
a
novel
form
programmed
cell
death,
disulfidptosis
characterized
by
excessive
cysteine
accumulation,
disulfide
stress
and
actin
destruction.
There
evidence
that
targeting
promising
anticancer
strategy.
Further
improvement
GC
risk
stratification
based
on
has
positive
clinical
significance.
We
analyzed
expression
levels
disulfidptosis-associated
genes
(DPAGs)
in
normal
tissues
molecular
subtypes
patients.
Based
characteristics
DPAG
subtypes,
differentially
expressed
prognosis-related
were
selected
LASSO-univariate
Cox
analysis
multivariate
to
establish
prognostic
model.
Using
single-cell
sequencing
reveals
subpopulation
for
GC.
The
function
target
was
verified
vitro
experimental
means,
including
siRNA,
qRT-PCR,
Western
blot,
CCK-8,
Transwell
assay.
score
be
an
independent
factor
significantly
associated
with
poor
prognosis
gastric
cancer.
Subsequent
studies
subgroup
immunoinfiltration
characteristics,
drug
sensitivity
analysis,
immunotherapy
response
somatic
mutation
comprehensively
confirmed
potential
guiding
significance
individualized
treatment
Single-cell
revealed
DPAG-related
signatures
across
subpopulations.
In
experiments
showed
APC11,
as
DPAGs,
highly
cancer,
knockdown
APC11
could
inhibit
proliferation
migration
cells,
demonstrating
reliability
bioinformatics
results.
results
this
study
provide
new
perspective
exploring
role
occurrence
development
Language: Английский
Identification of potential novel targets for treating inflammatory bowel disease using Mendelian randomization analysis
Ji‐Chang Fan,
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Yuan Lü,
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Jin‐Heng Gan
No information about this author
et al.
International Journal of Colorectal Disease,
Journal Year:
2024,
Volume and Issue:
39(1)
Published: Oct. 16, 2024
Inflammatory
bowel
disease
(IBD)
is
a
complex
autoimmune
disorder,
although
some
medications
are
available
for
its
treatment.
However,
the
long-term
efficacy
of
these
drugs
remains
unsatisfactory.
Therefore,
there
need
to
develop
novel
drug
targets
IBD
Language: Английский