Journal of Inflammation Research,
Journal Year:
2024,
Volume and Issue:
Volume 17, P. 6743 - 6764
Published: Sept. 1, 2024
Cancer-associated
fibroblasts
(CAFs)
significantly
contribute
to
tumor
progression
and
the
development
of
resistance
therapies
across
a
range
malignancies,
notably
breast
cancer.
This
study
aims
elucidate
specific
role
prognostic
relevance
CALU
multiple
cancer
types.
Advanced Science,
Journal Year:
2024,
Volume and Issue:
11(12)
Published: Jan. 16, 2024
Abstract
In
South
and
Southeast
Asia,
the
habit
of
chewing
betel
nuts
is
prevalent,
which
leads
to
oral
submucous
fibrosis
(OSF).
OSF
a
well‐established
precancerous
lesion,
portion
cases
eventually
progress
squamous
cell
carcinoma
(OSCC).
However,
specific
molecular
mechanisms
underlying
malignant
transformation
OSCC
from
are
poorly
understood.
this
study,
leading‐edge
techniques
Spatial
Transcriptomics
(ST)
Metabolomics
(SM)
integrated
obtain
spatial
location
information
cancer
cells,
fibroblasts,
immune
as
well
transcriptomic
metabolomic
landscapes
in
OSF‐derived
tissues.
This
work
reveals
for
first
time
that
some
cells
undergo
partial
epithelial–mesenchymal
transition
(pEMT)
within
situ
(ISC)
region,
acquiring
fibroblast‐like
phenotypes
participating
collagen
deposition.
Complex
interactions
among
epithelial
tumor
microenvironment
demonstrated.
Most
importantly,
significant
metabolic
reprogramming
OSCC,
including
abnormal
polyamine
metabolism,
potentially
playing
pivotal
role
promoting
tumorigenesis
evasion
discovered.
The
ST
SM
data
study
shed
new
light
on
deciphering
OSCC.
also
offers
invaluable
clues
prevention
treatment
Journal for ImmunoTherapy of Cancer,
Journal Year:
2025,
Volume and Issue:
13(2), P. e010782 - e010782
Published: Feb. 1, 2025
Background
Advanced
triple-negative
breast
cancer
(TNBC)
is
prone
to
brain
metastasis
(BrM).
The
precise
molecular
mechanism
responsible
for
this
phenomenon
has
not
yet
been
completely
established,
so
it
vital
comprehend
the
behind
it.
Methods
protein
chip
analysis
was
conducted
identify
any
abnormal
UBE2T
expression
in
TNBC,
especially
BrM.
Here,
we
used
public
databases
and
bioinformatics
as
well
clinical
samples
from
different
cohorts
investigate
interrelationship
between
UBE2T/CDC42/CD276.
This
predicted
relationship
then
repeatedly
validated
using
vivo
vitro
experimental
methods.
Additionally,
multiple
approaches
were
implemented,
encompassing
western
blotting,
Co-IP,
GST
pull-down,
flow
cytometry,
mass
spectrometry,
immunofluorescence,
immunohistochemistry,
qRT-PCR
reveal
of
UBE2T-mediated
immune
escape
Results
Our
results
indicate
that
expressed
at
elevated
levels
cancer,
negatively
linked
patient
prognosis,
BrM
TNBC.
Data
our
TCGA
a
significant
correlation
immunosuppression.
Mechanistically,
directly
interacts
with
CDC42,
promoting
its
K48-linked
polyubiquitination
proteasomal
degradation,
thereby
inhibiting
CDC42
degrading
CD276
via
autophagy-lysosomal
pathway,
indirectly
upregulating
impairing
CD8
+
T
cells
function,
ultimately
mediating
tumor
Finally,
animal
also
showed
inhibition
TNBC
sensitivity
checkpoint
blockade
inhibited
Conclusions
In
conclusion,
new
whereby
ubiquitination
positively
controls
UBE2T/CDC42/CD276
axis
upregulate
cell
impair
leading
Lipids in Health and Disease,
Journal Year:
2024,
Volume and Issue:
23(1)
Published: April 15, 2024
Abstract
Objective
This
study
aims
to
investigate
the
association
between
specific
lipidomes
and
risk
of
breast
cancer
(BC)
using
Two-Sample
Mendelian
Randomization
(TSMR)
approach
Bayesian
Model
Averaging
(BMA-MR)
method.
Method
The
analyzed
data
from
large-scale
GWAS
datasets
179
assess
relationship
BC
across
different
molecular
subtypes.
TSMR
was
employed
explore
causal
relationships,
while
BMA-MR
method
carried
out
validate
results.
assessed
heterogeneity
horizontal
pleiotropy
through
Cochran's
Q,
MR-Egger
intercept
tests,
MR-PRESSO.
Moreover,
a
leave-one-out
sensitivity
analysis
performed
evaluate
impact
individual
single
nucleotide
polymorphisms
on
MR
study.
Results
By
examining
lipidome
traits
as
exposures
outcome,
revealed
significant
effects
glycerophospholipids,
sphingolipids,
glycerolipids
risk.
Specifically,
for
estrogen
receptor-positive
(ER
+
BC),
phosphatidylcholine
(
P
<
0.05)
phosphatidylinositol
(OR:
0.916–0.966,
within
glycerophospholipids
play
roles,
along
with
importance
(diacylglycerol
(OR
=
0.923,
0.001)
triacylglycerol,
OR:
0.894–0.960,
0.05)).
However,
did
not
observe
noteworthy
sphingolipids
ER
BC.
In
case
receptor-negative
−
only
1.085,
0.008),
0.909,
0.002)
exerted
an
influence,
but
protective
effect
sterols
1.034–1.056,
also
discovered.
prominence
minimal
in
ER-BC.
Phosphatidylethanolamine
1.091–1.119,
important
Conclusions
findings
reveal
that
triglycerides
levels
decreased
BC,
indicating
potential
role
these
lipid
molecules.
elucidates
BC's
intricate
metabolic
pathways,
highlighting
diverse
structural
variations
may
have
varying
BMC Bioinformatics,
Journal Year:
2024,
Volume and Issue:
25(1)
Published: Jan. 22, 2024
Abstract
Breast
cancer
remains
a
major
public
health
challenge
worldwide.
The
identification
of
accurate
biomarkers
is
critical
for
the
early
detection
and
effective
treatment
breast
cancer.
This
study
utilizes
an
integrative
machine
learning
approach
to
analyze
gene
expression
data
superior
biomarker
drug
target
discovery.
Gene
datasets,
obtained
from
GEO
database,
were
merged
post-preprocessing.
From
dataset,
differential
analysis
between
normal
samples
revealed
164
differentially
expressed
genes.
Meanwhile,
separate
dataset
350
Additionally,
BGWO_SA_Ens
algorithm,
integrating
binary
grey
wolf
optimization
simulated
annealing
with
ensemble
classifier,
was
employed
on
datasets
identify
predictive
genes
including
TOP2A,
AKR1C3,
EZH2,
MMP1,
EDNRB,
S100B,
SPP1.
over
10,000
genes,
identified
1404
in
(F1
score:
0.981,
PR-AUC:
0.998,
ROC-AUC:
0.995)
1710
GSE45827
0.965,
0.986,
0.972).
intersection
DEGs
selected
35
that
consistently
significant
across
methods.
Enrichment
analyses
uncovered
involvement
these
key
pathways
such
as
AMPK,
Adipocytokine,
PPAR
signaling.
Protein-protein
interaction
network
highlighted
subnetworks
central
nodes.
Finally,
drug-gene
investigation
connections
anticancer
drugs.
Collectively,
workflow
robust
signature
cancer,
illuminated
their
biological
roles,
interactions
therapeutic
associations,
underscored
potential
computational
approaches
discovery
precision
oncology.
Experimental Hematology and Oncology,
Journal Year:
2025,
Volume and Issue:
14(1)
Published: Jan. 7, 2025
Abstract
Background
Osimertinib
has
emerged
as
a
critical
element
in
the
treatment
landscape
following
recent
clinical
trials.
Further
investigation
into
mechanisms
driving
resistance
to
is
necessary
address
restricted
options
and
survival
advantages
that
are
compromised
by
patients
with
EGFR-mutated
lung
adenocarcinoma
(LUAD).
Methods
Spatial
transcriptomic
proteomic
analyses
were
utilized
investigate
of
resistance.
Co-IP,
MS,
RNA-seq,
ChIP-seq,
RIP-seq,
ATAC-seq
performed
cell
lines
further
explore
mechanism.
To
validate
findings,
vitro
vivo
molecular
experiments
conducted.
Results
We
found
ARID1A
deficiency
results
hindering
programmed
death
through
EZH2/PTEN/E2F1
axis.
This
altered
axis
influences
PD-L1
transcription
E2F1-mediated
promoter
activation
translation
via
MDM2/eIF5B/PD-L1
Subsequently,
increased
expression
eIF5B
Importin-β1,
promoting
nuclear-translocation.
The
nuclear
(nPD-L1)
interacts
CD44,
leading
nPD-L1
complex
formation,
RASGEF1A
promoter,
initiation
Ras
pathway,
contributing
Targeting
transcription,
nuclear-translocation
using
lipid
nanoparticles
(LNPs)
overcomes
deficiency-induced
Conclusion
promotes
translocation
induces
Journal of Experimental & Clinical Cancer Research,
Journal Year:
2025,
Volume and Issue:
44(1)
Published: Feb. 19, 2025
Abstract
Background
Brain
metastasis
(BrM)
poses
a
significant
challenge
to
the
prognosis
and
quality
of
life
for
patients
with
non-small
cell
lung
cancer
(NSCLC).
Gamma-aminobutyric
acid
(GABA),
an
inhibitory
neurotransmitter
in
central
nervous
system
(CNS),
has
been
implicated
progression
various
tumors.
However,
its
potential
role
BrM
NSCLC
underlying
mechanisms
remain
largely
unexplored.
Methods
A
multi-omics
approach
combined
vivo
vitro
experiments
identified
GABA
as
key
target
NSCLC.
Functional
mechanistic
studies
were
conducted
investigate
how
mediates
brain
through
activation
NF-κB
pathway.
Results
levels
significantly
elevated
both
cells
serum
who
had
BrM.
markedly
enhanced
metastatic
capabilities
malignancy
cells.
Mechanistically,
tumor
tendency
can
inhibit
4-aminobutyrate
aminotransferase
(ABAT)
by
downregulating
forkhead
box
A2
(FOXA2)
expression,
leading
increased
accumulation.
subsequently
activates
pathway
astrocytes,
thus
facilitating
Conclusions
Our
findings
indicate
that
plays
crucial
development
activating
FOXA2/ABAT/GABA
axis.
Additionally,
interaction
between
astrocytes
creates
microenvironment
promotes
colonization.
BMC Genomics,
Journal Year:
2025,
Volume and Issue:
26(1)
Published: Feb. 24, 2025
Different
chicken
breeds
exhibit
distinct
muscle
phenotypes
resulting
from
selective
breeding,
but
little
is
known
about
the
molecular
mechanisms
responsible
for
this
phenotypic
difference.
Skeletal
composed
of
a
large
number
heterogeneous
cell
populations.
Differences
in
differentiation
and
interaction
populations
play
key
role
difference
skeletal
phenotype.
In
current
study,
we
performed
single-cell
RNA
sequencing
(scRNA-seq)
on
leg
Daheng
broiler
(DH,
cultivated
breed)
Tibetan
(TC,
native
at
embryonic
(E)
10,
E14
E18.
A
comprehensive
atlas
muscle,
consisting
29,579
high-quality
cells
representing
6
types
was
built.
The
trajectory
Myoblasts
fibro-adipogenic
progenitors
(FAPs)
constructed
through
pseudotemporal
analysis.
Our
results
revealed
different
developmental
trajectories
dynamic
gene
expression
profiles
3
subtypes
myoblasts
5
FAPs
two
breeds.
showed
earlier
myogenesis
less
compared
with
broiler.
By
comparing
switch
status
time
genes
breeds,
SNRPG,SNRPE,EIF4EBP1
HSP90AB1
were
considered
as
potentially
critical
myogenesis,
MYOG,MYBPH,APOA1,
MGP
played
dominant
roles
adipogenesis.
Intercellular
networks
that
strong
complex
intercellular
communication
contained
during
growth
development.
These
findings
differences
development
between
TC
DH
chickens.
data
provide
better
understanding
valuable
information
genetic
breeding
chicken.
International Journal of Oncology,
Journal Year:
2024,
Volume and Issue:
65(4)
Published: Aug. 30, 2024
The
use
of
antitumor
drugs
represents
a
reliable
strategy
for
cancer
therapy.
Unfortunately,
drug
resistance
has
become
increasingly
common
and
contributes
to
tumor
metastasis
local
recurrence.
immune
microenvironment
(TME)
consists
cells,
cytokines
immunomodulators,
collectively
they
influence
the
response
treatment.
Epigenetic
changes
including
DNA
methylation
histone
modification,
as
well
increased
exportation
have
been
reported
contribute
development
in
cancers.
In
past
few
years,
majority
studies
on
tumors
only
focused
progression
from
mechanistic
standpoint;
examined
whether
TME
can
also
affect
growth
resistance.
Recently,
emerging
evidence
raised
more
concerns
regarding
role
present
review,
it
was
discussed
how
suppressive
adapts
characterized
by
cooperation
cytokines,
stromal
cells
extracellular
matrix.
Furthermore,
reviewed
these
immunological
or
metabolic
alter
immuno‑surveillance
thus
facilitate
addition,
potential
targets
developing
novel
therapeutic
strategies
improve
individualized
therapy
treatment
were
revealed.
iScience,
Journal Year:
2024,
Volume and Issue:
27(6), P. 109902 - 109902
Published: May 3, 2024
Highlights•m6A
reader
YTHDF2
was
highly
expressed
in
pro-tumoral
macrophages•YTHDF2
correlates
with
and
immuno-suppressing
signals
of
macrophages•Identification
SPI1
as
key
transcriptional
regulator
YTHDF2-high
macrophage•Ythdf2
associates
phenotype
polarization
macrophages
the
miceSummaryPatients
triple-negative
breast
cancer
(TNBC)
frequently
experience
resistance
to
chemotherapy,
leading
recurrence.
The
approach
optimizing
anti-tumoral
immunological
effect
is
promising
overcoming
such
resistance,
given
heterogeneity
lack
biomarkers
TNBC.
In
this
study,
we
focused
on
YTHDF2,
an
N6-methyladenosine
(m6A)
RNA-reader
protein,
macrophages,
one
most
abundant
intra-tumoral
immune
cells.
Using
single-cell
sequencing
ex
vivo
experiments,
discovered
that
significantly
promotes
closely
associated
down-regulated
antigen-presentation
signaling
other
cells
vitro
deprivation
favors
effect.
Expressions
multiple
transcription
factors,
especially
SPI1,
were
consistently
observed
providing
potential
therapeutic
targets
for
new
strategies.
conclusion,
appears
promote
effects
while
suppressing
activity,
indicating
treatment
targeting
or
its
factors
could
be
a
strategy
chemoresistant
TNBC.Graphical
abstract
Cancer Cell International,
Journal Year:
2024,
Volume and Issue:
24(1)
Published: April 7, 2024
Abstract
Background
Fatty
acids
synthesis
and
metabolism
(FASM)-driven
lipid
mobilization
is
essential
for
energy
production
during
nutrient
shortages.
However,
the
molecular
characteristics,
physiological
function
clinical
prognosis
value
of
FASM-associated
gene
signatures
in
hepatocellular
carcinoma
(HCC)
remain
elusive.
Methods
The
Gene
Expression
Omnibus
database
(GEO),
Cancer
Genome
Atlas
(TCGA),
International
Consortium
(ICGC)
were
utilized
to
acquire
transcriptome
data
information
HCC
patients.
ConsensusClusterPlus
was
employed
unsupervised
clustering.
Subsequently,
immune
cell
infiltration,
stemness
index
therapeutic
response
among
distinct
clusters
decoded.
tumor
dysfunction
exclusion
(TIDE)
algorithm
anticipate
patients
towards
immunotherapy,
genomics
drug
sensitivity
cancer
(GDSC)
tool
predict
their
antineoplastic
medications.
Least
absolute
shrinkage
selection
operator
(LASSO)
regression
analysis
protein–protein
interaction
(PPI)
network
construct
prognostic
model
identity
hub
gene.
Single
RNA
sequencing
(scRNA-seq)
CellChat
used
analyze
cellular
interactions.
FASM
effect
on
promoting
progression
confirmed
through
a
series
functional
experiments.
Results
Twenty-six
FASM-related
genes
showed
differential
expression
HCC.
Based
these
genes,
two
subtypes
established,
including
Cluster1
Cluster2
subtype.
Compared
with
cluster2,
subtype
exhibited
worse
prognosis,
higher
risk,
immunosuppressive
cells
infiltrations,
escape,
enhanced
treatment-resistant.
PPI
identified
Acetyl-CoA
carboxylase1
(ACACA)
as
central
predicted
poor
prognosis.
A
strong
between
stem
(CSCs)
high
ACACA
macrophages
CD74
molecule
(CD74)
integrin
subunit
beta
1
(ITGB1)
signaling
identified.
Finally,
increased
observed
patients,
whereas
depleted
inhibited
straits
resistance
cells.
Conclusions
This
study
provides
resource
understanding
heterogeneity
Evaluating
patterns
can
help
provide
new
insights
into
treatment