Cancer Investigation,
Journal Year:
2024,
Volume and Issue:
42(10), P. 876 - 892
Published: Nov. 10, 2024
Background
Evidence
with
regards
to
the
distinction
between
primary
and
metastatic
tumors
in
pancreatic
cancer
driving
factors
for
metastases
remains
limited.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Feb. 7, 2025
Oral
squamous
cell
carcinoma
(OSCC)
is
one
of
the
most
prevalent
cancer
types
around
world.
Although
OSCC
can
be
diagnosed
or
monitored
through
tissue
biopsy,
this
invasive
procedure
could
cause
considerable
pain
and
discomfort
to
patients.
As
a
preferable
alternative,
liquid
biopsy
offers
less
diagnostics.
In
our
study
enhance
detection,
we
analyzed
cell-free
RNA
(cfRNA)
transcriptomes
(mRNA,
lncRNA)
from
blood
(plasma)
saliva
samples
individuals
in
three
groups:
group,
oral
benign
tumor
normal
control
group.
Our
transcriptomic
profiling
revealed
that
CLEC2B
was
notably
upregulated
group
compared
others,
while
DAZL,
F9,
AC008735.2
were
markedly
downregulated.
However,
no
OSCC-specific
RNAs
identified
samples.
Furthermore,
showed
higher
neutrophil
infiltration
lower
B
cells,
CD4
+
T
cells
(non-regulatory)
regulatory
(Tregs)
environment
when
groups.
This
suggests
might
better
medium
over
for
cfRNA
on
detecting
OSCC.
CLEC2B,
may
serve
as
potential
diagnostic
biomarkers
OSCC,
warranting
further
investigation.
European journal of medical research,
Journal Year:
2025,
Volume and Issue:
30(1)
Published: Feb. 14, 2025
Nucleus
pulposus
(NP)
deterioration
plays
a
significant
role
in
the
development
of
intervertebral
disc
degeneration
(IVDD)
and
low
back
pain
(LBP).
This
paper
aims
to
identify
potential
genes
within
degenerated
NP
tissue
elucidate
pathogenesis
IVDD
through
bioinformatics
analysis.
We
conducted
transcriptomic
analysis
patient's
degenerative
employing
advanced
techniques
machine
learning
algorithms.
Utilizing
hdWGCNA,
we
successfully
acquired
WGCNA
single-cell
sequencing
data
pinpointed
crucial
implicated
IVDD.
Subsequently,
employed
Monocle3
package
perform
pseudotime
sequence
analysis,
enabling
identification
associated
with
differentiation
developmental
processes
tissue.
Following
this,
normalized
logarithmically
transformed
bulk
data.
preliminary
screening
using
single-factor
logistic
regression
on
derived
from
sequencing.
Next,
applied
two
techniques,
namely,
SVM–RFE
random
forest,
discern
pivotal
pathogenic
genes.
Finally,
used
validation
sets
verify
trends
qualitativeness
performed
vitro
vivo
analyses
normal
tissues.
909
were
identified
while
uncovered
1964
related
processes.
The
had
208
common.
an
initial
by
integrating
database
single
regression.
utilized
CDH,
DPH5,
SELENOF.
PCR
confirmed
that
expression
CDH
DPH5
degraded
nucleus
cells
(NPCs)
was
decreased
31%
28%
vivo,
36%
29%
vitro,
respectively,
SELENOF
showed
opposite
trend.
Furthermore,
validated
imaging
histological
staining.
As
IVDD,
our
findings
indicate
CTH,
are
important
players
might
be
promising
therapeutic
targets
for
treatment.
Journal of Translational Medicine,
Journal Year:
2025,
Volume and Issue:
23(1)
Published: Feb. 14, 2025
Recent
oncological
research
has
intensely
focused
on
the
tumor
immune
microenvironment
(TME),
particularly
functions
of
CD4
+
T
lymphocytes.
CD4+
lymphocytes
have
been
implicated
in
antigen
presentation,
cytokine
release,
and
cytotoxicity,
suggesting
their
contribution
to
dynamics
TME.
Furthermore,
application
single-cell
sequencing
yielded
profound
insights
into
phenotypic
diversity
functional
specificity
cells
In
this
review,
we
discuss
current
findings
from
analyses,
emphasizing
heterogeneity
cell
subsets
implications
immunology.
addition,
review
critical
signaling
pathways
molecular
networks
underpinning
activities,
thereby
offering
novel
perspectives
therapeutic
targets
strategies
for
cancer
treatment
prognosis.
Frontiers in Immunology,
Journal Year:
2025,
Volume and Issue:
16
Published: March 31, 2025
Pancreatic
cancer,
a
highly
malignant
tumor
of
the
digestive
system,
is
characterized
by
microenvironment
with
high
degree
immunosuppression.
This
immunosuppressive
property
poses
significant
challenges,
as
it
hampers
effective
infiltration
immune
cells
and
impairs
their
ability
to
exert
cytotoxic
effects.
The
metabolic
process
taurine
has
emerged
crucial
factor
in
modulating
functions
activities
cells.
Intervening
metabolism
holds
potential
reshape
microenvironment,
thereby
enhancing
recognize
eliminate
To
explore
therapeutic
relationship
between
disorders
pancreatic
cancer
immunotherapy,
we
employed
multiple
software
packages,
including
"Seurat",
"DoubletFinder",
"Harmony",
"GSVA",
"CellChat"
analyze
single-cell
data
spatial
transcriptomic
cancer.
In
present
study,
four
distinct
cell
subsets,
namely
RPS4Y1+
cells,
LYZ+
CPE+
MKI67+
were
identified
for
first
time.
CNV
score
highlighted
role
within
Through
cell-communication
analysis,
crosstalk
among
fibroblasts,
CD8+
T
was
identified,
offering
novel
insights
into
immunotherapy
strategies,
which
strengthened
co-localization
analysis
transcriptomics.
Furthermore,
conducting
combined
survival
data,
LY6D
target.
co-culture
experiments
uncovered
underlying
mechanism
regulating
imbalance
establishment
"taurine-immune
crosstalk"
criteria
this
study
effectively
paves
way
immunotherapy.
conclusion,
current
research
underscores
significance
Targeting
may
represent
approach
reversing
"stiff-cancer"
characteristics
Frontiers in Genetics,
Journal Year:
2025,
Volume and Issue:
16
Published: April 9, 2025
Early
diagnosis
of
intervertebral
disc
(IVD)
degeneration
is
great
significance
for
prevention
the
disease
from
progressing
to
a
serious
stage.
This
study
aimed
investigate
signature
genes
and
their
association
with
immune
cells
in
IVD
degeneration.
We
analyzed
differentially
expressed
(DEGs)
dataset
samples
GEO
database.
Weighted
gene
coexpression
network
analysis
(WGCNA)
DEGs
were
employed
pinpoint
key
modules
genes.
Functional
enrichment
was
performed
these
Signature
identified
using
least
absolute
shrinkage
selection
operator
(LASSO)
analysis.
Gene
set
(GSEA)
used
explore
signaling
pathways
related
genes,
CIBERSORT®
classify
cell
infiltration.
Function
hub
confirmed
by
PCR,
Western
blotting
ELISA.
2,254
GSE56081,
WGCNA
grouped
data
into
9
modules.
MEbrown
module
had
significant
correlation
(cor
=
0.99,
P
8.00
×
10-8).
LASSO
selected
HSPA1B,
TOB1,
ECM1,
PTTG1IP
as
excellent
diagnostic
efficiency.
Furthermore,
we
assessed
efficacy
every
predicting
an
external
validation
group
(GSE70362).
The
results
showed
that
two
(TOB1,
ECM1)
effect
IVD.
GSEA
TOB1
ECM1
involve
NOD
like
receptor
pathway,
phenylalanine
metabolism.
Ether
lipid
metabolism,
glycosaminoglycan
biosynthesis
keratin
sulfate,
RNA
degradation
pathway.
suggested
may
participate
Finally,
crucial
molecule
process
NP
pyroptosis
NLRP3
inflammasome
activation.
show
remarkable
performance
be
implicated
infiltration
cells.
International Journal of Genomics,
Journal Year:
2025,
Volume and Issue:
2025(1)
Published: Jan. 1, 2025
Rotator
cuff
injuries
are
a
common
cause
of
shoulder
pain
and
dysfunction,
with
chronic
inflammation
complicating
recovery.
Recent
advances
in
single‐cell
RNA
sequencing
(scRNA‐seq)
have
provided
new
insights
into
the
immune
cell
interactions
within
rotator
microenvironment
during
injury
healing.
This
review
focuses
on
application
scRNA‐seq
to
explore
roles
nonimmune
cells,
including
macrophages,
T‐cells,
fibroblasts,
myofibroblasts,
driving
inflammation,
tissue
repair,
fibrosis.
We
discuss
how
crosstalk
extracellular
matrix
influence
progression
healing
or
pathology.
Single‐cell
analyses
identified
distinct
molecular
signatures
associated
which
may
contribute
persistent
damage.
Additionally,
we
highlight
therapeutic
potential
targeting
emphasizing
personalized
medicine
approaches.
Overall,
integration
studying
enhances
our
understanding
cellular
mechanisms
involved
offers
perspectives
for
developing
targeted
treatments
regenerative
medicine.
Frontiers in Immunology,
Journal Year:
2024,
Volume and Issue:
15
Published: May 29, 2024
Background
Sepsis,
causing
serious
organ
and
tissue
damage
even
death,
has
not
been
fully
elucidated.
Therefore,
understanding
the
key
mechanisms
underlying
sepsis-associated
immune
responses
would
lead
to
more
potential
therapeutic
strategies.
Methods
Single-cell
RNA
data
of
4
sepsis
patients
2
healthy
controls
in
GSE167363
set
were
studied.
The
pseudotemporal
trajectory
analyzed
neutrophil
clusters
under
sepsis.
Using
hdWGCNA
method,
gene
modules
neutrophils
explored.
Multiple
machine
learning
methods
used
screen
validate
hub
genes
for
neutrophils.
SCENIC
was
then
explore
transcription
factors
regulating
genes.
Finally,
quantitative
reverse
transcription-polymerase
chain
reaction
mRNA
expression
peripheral
blood
two
mice
models.
Results
We
discovered
novel
subtypes
with
a
significant
increase
These
enriched
late
state
during
differentiation.
analysis
unveiled
that
3
distinct
(Turquoise,
brown,
blue
modules)
closely
correlated
subtypes.
8
revealed
high
accuracy
robustness
(ALPL,
ACTB,
CD177,
GAPDH,
SLC25A37,
S100A8,
S100A9,
STXBP2).
APLP,
STXBP2
associated
various
transcriptional
factors.
ALPL,
significantly
up
regulated
CLP
LPS-induced
Conclusions
Our
research
new
five
provide
biomarkers
targeting
treatment