Research Square (Research Square),
Год журнала:
2023,
Номер
unknown
Опубликована: Окт. 28, 2023
Abstract
Purpose
As
the
field
of
gynecological
immunology
increasingly
focuses
on
reproduction,
importance
recurrent
spontaneous
abortion
(RSA)
is
growing.
The
complex
mechanisms
underlying
interaction
between
RSA
and
cancer
are
still
not
well
understood.
This
study
seeks
to
identify
a
new
prognostic
biomarker
for
cancer.
Methods
Weighted
Gene
Co-Expression
Network
Analysis
(WGCNA),
single-cell
RNA
sequencing
(scRNA-seq),
machine
learning
algorithms
were
utilized
analysis
decidua
samples
(GSE164449,
GSE214607,
GSE65099)
hub
gene.
expression
distribution
gene
subsequently
investigated
using
pan-cancer
database
TCGA.
Furthermore,
prediction
was
made
assess
gene's
impact
response,
mutation
burden,
immunity
microenvironment,
immune
checkpoint,
chemotherapy.
Results
SLC8A1
has
been
identified
as
within
RAS.
In
analysis,
exhibited
strong
levels
in
UCEC.
efficacy
predictive
marker
substantiated
by
calibration
curves
concordance
index.
rate
found
be
6%
based
waterfall
plot.
Immune
revealed
notable
differences
fractions
T
cells
macrophages
high
low
groups.
checkpoint
demonstrated
associations
with
CD40
positive
checkpoints.
Notably,
patients
classified
low-risk
group
enhanced
responsiveness
Osimertinib,
Dasatinib,
Sepantronium
bromid,
lbrutinib,
other
treatments.
Conclusion
These
findings
suggest
that
may
serve
promising
potential
target
immunotherapy
context
Advanced Science,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 8, 2025
Solid
tumors
develop
within
a
complex
environment
called
the
tumor
microenvironment
(TME),
which
is
sculpted
by
presence
of
other
cells,
such
as
cancer-associated
fibroblasts
(CAFs)
and
immune
cells
like
macrophages
(Mφs).
Despite
orchestrate
tumor-supportive
through
intricate
interaction
with
components
TME.
However,
specific
mechanism
this
intercellular
dialogue
regulated
not
fully
understood.
To
that
end,
development
an
organotypic
3D
breast
TME-on-a-chip
(TMEC)
model,
integrated
single-cell
RNA
sequencing
analysis,
reported
to
mechanistically
evaluate
progression
triple-negative
cancer
(TNBC)
in
patient-derived
CAFs
Mφs.
Extensive
functional
assays,
including
invasion
morphometric
characterization,
reveal
synergistic
influence
Mφs
on
cells.
Furthermore,
gene
expression
pathway
enrichment
analyses
identify
involvement
KYNU
gene,
suggesting
potential
evasion
kynurenine
pathway.
Lastly,
pharmacological
targeting
identified
investigated.
Cell Death Discovery,
Год журнала:
2024,
Номер
10(1)
Опубликована: Июль 25, 2024
Abstract
Head
and
neck
squamous
cell
carcinomas
(HNSCCs)
are
cancers
that
arise
in
the
mucosa
of
upper
aerodigestive
tract.
The
five-year
patient
survival
rate
is
~50%.
Treatment
includes
surgery,
radiation,
and/or
chemotherapy
associated
with
lasting
effects
even
when
successful
irradicating
disease.
New
molecular
targets
therapies
must
be
identified
to
improve
outcomes
for
HNSCC
patients.
We
recently
bitter
taste
receptors
(taste
family
2
receptors,
or
T2Rs)
as
a
novel
candidate
activate
apoptosis
cells
through
mitochondrial
Ca
2+
overload
depolarization.
hypothesized
targeting
another
component
tumor
metabolism,
namely
glycolysis,
may
increase
efficacy
T2R-directed
therapies.
GLUT1
(
SLC2A1
)
facilitated-diffusion
glucose
transporter
expressed
by
many
cancer
fuel
their
increased
rates
glycolysis.
already
being
investigated
possible
target,
but
studies
HNSCCs
limited.
Examination
immortalized
cells,
samples,
Cancer
Genome
Atlas
revealed
high
expression
upregulation
some
samples.
tissue
express
on
plasma
membrane
within
cytoplasm
(perinuclear,
likely
co-localized
Golgi
apparatus).
developed
small
molecule
inhibitor
GLUT1,
BAY-876.
This
compound
decreased
uptake,
viability,
metabolism
induced
apoptosis.
Moreover,
BAY-876
had
enhanced
combined
at
low
concentrations
T2R
receptor
agonists.
Notably,
also
TNFα-induced
IL-8
production,
indicating
an
additional
mechanism
tumor-suppressive
effects.
Our
study
demonstrates
via
kill
particularly
combination
agonists,
potential
treatment
strategy
worth
exploring
further
future
translational
studies.
International Journal of Molecular Sciences,
Год журнала:
2025,
Номер
26(3), С. 904 - 904
Опубликована: Янв. 22, 2025
Metastasis
is
currently
becoming
a
major
clinical
concern,
due
to
its
potential
cause
therapeutic
resistance.
Its
development
involves
series
of
phases
that
describe
the
metastatic
cascade:
preparation
pre-metastatic
niche,
epithelial–mesenchymal
transition,
dissemination,
latency
and
colonization
new
tissue.
In
last
few
years,
targets,
such
as
integrins,
are
arising
face
this
disease.
Integrins
transmembrane
proteins
found
in
every
cell
have
key
role
cascade.
They
intervene
adhesion
intracellular
signaling
dependent
on
extracellular
matrix
cytokines
microenvironment.
case,
integrins
can
initiate
guide
formation
niche
increase
tumor
migration
survival.
also
take
part
vascularization
process
necessary
sustain
metastasis.
This
fact
emphasizes
importance
inhibitory
therapies
capable
interfering
with
function
The Breast Journal,
Год журнала:
2025,
Номер
2025(1)
Опубликована: Янв. 1, 2025
Background:
T
regulatory
cells
(Tregs)
are
essential
for
preserving
immune
tolerance.
They
present
in
large
numbers
many
tumors,
hindering
potentially
beneficial
antitumor
responses.
However,
their
predictive
significance
breast
cancer
(BC)
remains
ambiguous.
This
study
aimed
to
explore
genes
associated
with
Tregs
and
develop
a
prognostic
signature
Tregs.
Methods:
The
gene
expression
clinical
data
on
BC
were
obtained
from
Cancer
Genome
Atlas
(TCGA)
Gene
Expression
Omnibus
(GEO)
databases.
integration
of
CIBERSORT
weighted
correlation
network
analysis
(WGCNA)
algorithms
was
utilized
identify
modules
consensus
cluster
algorithm
create
molecular
subtypes
determined
by
Then,
constructed
its
relationship
tumor
immunity
the
prognosis
evaluated.
Results:
blue
module
exhibited
most
significant
Tregs,
1080
related
acquired.
A
total
93
TCGA
dataset
found
have
impact
patient
prognosis.
Samples
categorized
into
two
clusters
analysis.
overall
survival,
checkpoint
genes,
subtype,
biological
behaviors
varied
significantly
between
these
subtypes.
10-gene
developed
differentially
expressed
demonstrated
consistent
accuracy
both
GEO
datasets.
It
functioned
as
standalone
marker
individuals
BC.
In
addition,
patients
low
risk
more
inclined
exhibit
increased
cell
infiltration,
TME
score,
mutation
burden
(TMB).
Meanwhile,
Individuals
classified
within
low-risk
group
showed
better
responses
immunotherapies
compared
counterparts
high-risk
group.
Conclusions:
model
derived
Tregs-related
could
aid
assessing
prognosis,
guiding
personalized
treatment,
enhancing
outcomes
Stem Cell Research & Therapy,
Год журнала:
2025,
Номер
16(1)
Опубликована: Март 24, 2025
Glioblastoma
remains
one
of
the
most
lethal
malignancies,
largely
due
to
its
resistance
standard
chemotherapy
such
as
temozolomide.
This
study
investigates
a
novel
mechanism
involving
glioblastoma
stem
cells
(GSCs)
and
polarization
M2-type
macrophages,
mediated
by
extracellular
vesicle
(EV)-based
transfer
Clusterin.
Using
6-week-old
male
CD34+
humanized
huHSC-(M-NSG)
mice
(NM-NSG-017)
cell
lines
(T98G
U251),
we
demonstrated
that
GSC-derived
EVs
enriched
with
Clusterin
induce
M2
macrophage
polarization,
thereby
enhancing
temozolomide
in
cells.
Single-cell
transcriptome
sequencing
revealed
close
interactions
between
GSCs
highlighting
key
mediator.
Our
findings
indicate
Clusterin-rich
from
drive
proliferation
modulating
phenotypes.
Targeting
this
pathway
could
potentially
reverse
mechanisms,
offering
promising
therapeutic
approach
for
glioblastoma.
not
only
sheds
light
on
critical
underpinning
but
also
lays
groundwork
developing
therapies
targeting
tumor
microenvironment.
results
suggest
paradigm
shift
understanding
resistance,
emphasizing
potential
disrupting
EV-mediated
communication
Abstract
Background
Exosomes
play
a
crucial
role
in
intercellular
communication
clear
cell
renal
carcinoma
(ccRCC),
while
the
long
non‐coding
RNAs
(lncRNAs)
are
implicated
tumorigenesis
and
progression.
Aims
The
purpose
of
this
study
is
to
construction
exosomes‐related
lncRNA
score
ceRNA
network
predict
response
immunotherapy
potential
targeted
drug
ccRCC.
Methods
Data
ccRCC
patients
were
obtained
from
TCGA
database.
Pearson
correlation
analysis
was
used
identify
eExosomes‐related
lncRNAs
(ERLRs)
Top10
genes
that
have
been
screened.
entire
cohort
randomly
divided
into
training
validation
equal
scale.
LASSO
regression
multivariate
cox
construct
ERLRs‐based
score.
Differences
clinicopathological
characteristics,
immune
microenvironment,
checkpoints,
susceptibility
between
high‐
low‐risk
groups
also
investigated.
Finally,
relevant
constructed
by
machine
learning
analyze
their
targets
use
patients.
Results
A
consisting
4ERLRs
identified,
with
higher
tended
worse
prognosis
than
those
lower
ROC
curves
Cox
demonstrated
could
be
considered
as
risk
factor
for
both
cohorts.
Moreover,
high
scores
predisposed
experience
poor
overall
survival,
larger
prevalence
advanced
stage
(III‐IV),
greater
tumor
mutational
burden,
infiltration
immunosuppressive
cells,
likelihood
responding
favorably
immunotherapy.
importance
EMX2OS
determined
mechanical
learning,
constructed,
may
therapeutic
target,
possibly
exerting
its
function
through
EMX2OS/hsa‐miR‐31‐5p/TLN2
axis.
Conclusions
Based
on
novel
predicting
survival
promising
independent
prognostic
closely
correlated
microenvironment
characteristics.
Meanwhile,
we
screened
out
key
lncRNAEMX2OS
identified
axis,
which
provide
new
clues
therapy
Nanodelivery
systems
(NDSs)
provide
promising
prospects
for
decreasing
drug
doses,
reducing
side
effects,
and
improving
therapeutic
effects.
However,
the
bioapplications
of
NDSs
are
still
compromised
by
their
fast
clearance,
indiscriminate
biodistribution,
limited
tumor
accumulation.
Hence,
engineering
modification
aiming
at
promoting
tumor-specific
therapy
avoiding
systemic
toxicity
is
usually
needed.
An
NDS
integrating
various
functionalities,
including
flexible
camouflage,
specific
biorecognition,
sensitive
stimuli-responsiveness,
into
one
sequence
would
be
"smart"
highly
effective.
Herein,
we
systematically
summarize
related
principles,
methods,
progress.
At
end
review,
predict
obstacles
to
precise
nanoengineering
future
application
NDSs.