Frontiers in Immunology,
Journal Year:
2024,
Volume and Issue:
15
Published: Oct. 4, 2024
Background
Esophageal
cancer
(EC)
is
a
major
health
issue,
ranking
seventh
in
incidence
and
sixth
mortality
worldwide.
Despite
advancements
multidisciplinary
treatment
approaches,
the
5-year
survival
rate
for
EC
remains
low
at
21%.
Challenges
arise
from
late-stage
diagnosis,
high
malignancy,
poor
prognosis.
Understanding
tumor
microenvironment
critical,
as
it
includes
various
cellular
extracellular
components
that
influence
behavior
response.
Mast
cells
(MCs),
tissue-resident
immune
cells,
play
dual
roles
dynamics.
High-throughput
single-cell
RNA
sequencing
offers
powerful
tool
analyzing
heterogeneity
interactions,
although
its
application
limited.
Methods
In
this
study,
we
investigated
of
using
established
comprehensive
profile.
We
also
performed
analysis
upstream
transcription
factors
downstream
pathway
enrichment
to
further
comprehensively
decipher
MCs
EC.
Besides,
knockdown
experiments
explore
role
epidermal
growth
factor
receptor
(
EGFR
)
signaling
MCs-tumor
cell
highlighting
potential
prognostic
marker.
Finally,
constructed
model
EC,
which
provided
valuable
suggestions
diagnosis
prognosis
Results
Our
identified
11
types,
were
particularly
present
pericarcinoma
tissues.
Further
grouping
5,001
8
distinct
subtypes,
including
SRSF7
-highly
expressed
MCs,
showed
strong
preference
tumor-promoting
properties.
Moreover,
key
validated
by
vitro
experiments,
demonstrating
cancer-promoting
effects.
addition,
an
independent
indicator,
+
risk
score
(SMRS),
correlation
between
SMRS
group
Conclusion
These
findings
illuminate
complex
interactions
within
suggest
targeting
specific
via
pathway,
may
novel
therapeutic
strategies.
This
study
establishes
map
offering
insights
improved
approaches.
Frontiers in Immunology,
Journal Year:
2024,
Volume and Issue:
15
Published: March 6, 2024
Background
Glioblastoma
(GBM),
with
its
high
recurrence
and
mortality
rates,
makes
it
the
deadliest
neurological
malignancy.
Oxidative
phosphorylation
is
a
highly
active
cellular
pathway
in
GBM,
NFYB
tumor-associated
transcription
factor.
Both
are
related
to
mitochondrial
function,
but
studies
on
their
relationship
GBM
at
single-cell
level
still
scarce.
Methods
We
re-analyzed
profiles
of
from
patients
different
subtypes
by
transcriptomic
analysis
further
subdivided
large
population
Glioma
cells
into
subpopulations,
explored
interrelationships
pathways
among
cell
stages
clinical
populations,
investigated
between
factor
key
subpopulations
searching
for
prognostic
genes
NFYB,
verified
experiments.
Results
C5
subpopulation
had
highest
percentage
G2M
staging
rGBM,
which
we
hypothesized
might
be
higher
dividing
proliferating
ability
both
subpopulations.
activity
elevated
subgroup,
suggesting
possible
involvement
proliferation
recurrence,
close
association
function.
also
identified
13
associated
MEM60
may
cause
have
poor
prognosis
promoting
drug
resistance.
Knockdown
was
found
contribute
inhibition
proliferation,
invasion,
migration
cells.
Conclusion
These
findings
help
elucidate
mechanisms
function
progression
establish
new
model
therapeutic
target
based
NFYB.
Frontiers in Immunology,
Journal Year:
2024,
Volume and Issue:
15
Published: March 18, 2024
Background
Clear
cell
renal
carcinomas
(ccRCCs)
epitomize
the
most
formidable
clinical
subtype
among
neoplasms.
While
impact
of
tumor-associated
fibroblasts
on
ccRCC
progression
is
duly
acknowledged,
a
paucity
literature
exists
elucidating
intricate
mechanisms
and
signaling
pathways
operative
at
individual
cellular
level.
Methods
Employing
single-cell
transcriptomic
analysis,
we
meticulously
curated
UMAP
profiles
spanning
substantial
populations,
delving
into
composition
intrinsic
these
cohorts.
Additionally,
Myofibroblasts
were
fastidiously
categorized
discrete
subpopulations,
with
thorough
elucidation
temporal
trajectory
relationships
between
subpopulations.
We
further
probed
interaction
connecting
pivotal
subpopulations
tumors.
Our
endeavor
also
encompassed
identification
prognostic
genes
associated
through
Bulk
RNA-seq,
subsequently
validated
empirical
experimentation.
Results
A
notable
escalation
in
nFeature
nCount
EPCs
within
ccRCCs
was
observed,
notably
enriched
oxidation-related
pathways.
This
phenomenon
postulated
to
be
closely
heightened
metabolic
activities
EPCs.
The
subpopulation,
denoted
as
C3
HMGA1+
Myofibroblasts,
emerges
subset,
displaying
low
differentiation
positioning
itself
terminal
point
trajectory.
Intriguingly,
cells
exhibit
high
degree
tumor
MPZ
pathway
network,
suggesting
that
may
facilitate
via
this
pathway.
Prognostic
identified,
which
TUBB3
implicated
potential
resistance
recurrence.
Finally,
experimental
validation
revealed
knockout
key
gene
pathway,
MPZL1,
can
inhibit
activity,
proliferation,
invasion,
migration
capabilities.
Conclusion
investigation
delves
propose
targeting
MPZL1
oxidative
phosphorylation
could
serve
targets
for
treating
recurrence
ccRCC.
discovery
paves
way
new
directions
treatment
prognosis
diagnosis
future.
Frontiers in Immunology,
Journal Year:
2024,
Volume and Issue:
15
Published: Aug. 19, 2024
Background
Cervical
cancer
(CC)
is
the
fourth
most
common
malignancy
among
women
globally
and
serves
as
main
cause
of
cancer-related
deaths
in
developing
countries.
The
early
symptoms
CC
are
often
not
apparent,
with
diagnoses
typically
made
at
advanced
stages,
which
lead
to
poor
clinical
prognoses.
In
recent
years,
numerous
studies
have
shown
that
there
a
close
relationship
between
mast
cells
(MCs)
tumor
development.
However,
research
on
role
MCs
played
still
very
limited
time.
Thus,
study
conducted
single-cell
multi-omics
analysis
human
cells,
aiming
explore
mechanisms
by
interact
microenvironment
CC.
goal
was
provide
scientific
basis
for
prevention,
diagnosis,
treatment
CC,
hope
improving
patients’
prognoses
quality
life.
Method
present
acquired
RNA
sequencing
data
from
ten
samples
ArrayExpress
database.
Slingshot
AUCcell
were
utilized
infer
assess
differentiation
trajectory
cell
plasticity
subpopulations.
Differential
expression
subpopulations
performed,
employing
Gene
Ontology,
gene
set
enrichment
analysis,
variation
analysis.
CellChat
software
package
applied
predict
communication
cells.
Cellular
functional
experiments
validated
functionality
TNFRSF12A
HeLa
Caski
lines.
Additionally,
risk
scoring
model
constructed
evaluate
differences
features,
prognosis,
immune
infiltration,
checkpoint,
across
various
scores.
Copy
number
levels
computed
using
inference
copy
variations.
Result
obtained
93,524
high-quality
classified
into
types,
including
T_NK
endothelial
fibroblasts,
smooth
muscle
epithelial
B
plasma
MCs,
neutrophils,
myeloid
Furthermore,
total
1,392
subdivided
seven
subpopulations:
C0
CTSG+
C1
CALR+
C2
ALOX5+
C3
ANXA2+
C4
MGP+
C5
IL32+
C6
ADGRL4+
MCs.
Notably,
subpopulation
showed
associations
tumor-related
results
indicating
resided
intermediate-to-late
stage
differentiation,
potentially
representing
crucial
transition
point
benign-to-malignant
transformation
CNVscore
bulk
further
confirmed
transforming
state
subpopulation.
revealed
key
receptor
involved
actions
Moreover,
vitro
indicated
downregulating
may
partially
inhibit
development
prognosis
infiltration
based
marker
genes
provided
valuable
guidance
patient
intervention
strategies.
Conclusions
We
first
identified
transformative
tumor-associated
within
critical
impacted
progression
inhibitory
effect
knocking
down
prognostic
ALOX5+MCs
subset
demonstrated
excellent
predictive
value.
These
findings
offer
fresh
perspective
decision-making
Frontiers in Immunology,
Journal Year:
2025,
Volume and Issue:
15
Published: Jan. 17, 2025
High-grade
serous
ovarian
cancer
(HGSOC),
the
predominant
subtype
of
epithelial
cancer,
is
frequently
diagnosed
at
an
advanced
stage
due
to
its
nonspecific
early
symptoms.
Despite
standard
treatments,
including
cytoreductive
surgery
and
platinum-based
chemotherapy,
significant
improvements
in
survival
have
been
limited.
Understanding
molecular
mechanisms,
immune
landscape,
drug
sensitivity
HGSOC
crucial
for
developing
more
effective
personalized
therapies.
This
study
integrates
insights
from
immunology,
profiling,
analysis
identify
novel
therapeutic
targets
improve
treatment
outcomes.
Utilizing
single-cell
RNA
sequencing
(scRNA-seq),
systematically
examines
tumor
heterogeneity
microenvironment,
focusing
on
biomarkers
influencing
response
activity,
aiming
enhance
patient
outcomes
quality
life.
scRNA-seq
data
was
obtained
GEO
database
this
study.
Differential
gene
expression
analyzed
using
ontology
set
enrichment
methods.
InferCNV
identified
malignant
cells,
while
Monocle,
Cytotrace,
Slingshot
software
inferred
differentiation
trajectories.
The
CellChat
package
predicted
cellular
communication
between
cell
subtypes
other
pySCENIC
utilized
transcription
factor
regulatory
networks
within
subtypes.
Finally,
results
were
validated
through
functional
experiments,
a
prognostic
model
developed
assess
prognosis,
infiltration,
across
various
risk
groups.
investigated
scRNA-seq,
their
interactions
microenvironment.
We
confirmed
key
role
C2
IGF2+
HGSOC,
which
significantly
associated
with
poor
prognosis
high
levels
chromosomal
copy
number
variations.
located
terminal
tumor,
displaying
higher
degree
malignancy
close
association
IIIC
tissue
types.
also
metabolic
pathways,
such
as
glycolysis
riboflavin
metabolism,
well
programmed
death
processes.
highlighted
complex
fibroblasts
MK
signaling
pathway,
may
be
closely
related
tumor-associated
progression.
Elevated
PRRX1
connected
impact
disease
progression
by
modulating
transcription.
A
based
demonstrated
adverse
outcomes,
emphasizing
importance
infiltration
clinical
intervention
strategies.
oncology,
immunotherapy,
reveal
mechanisms
driving
resistance.
subtype,
linked
offers
promising
target
future
Emphasizing
sensitivity,
research
highlights
strategies
life
patients.
Frontiers in Immunology,
Journal Year:
2024,
Volume and Issue:
14
Published: Jan. 11, 2024
Background
We
explored
the
characteristics
of
single-cell
differentiation
data
in
glioblastoma
and
established
prognostic
markers
based
on
CRYAB
to
predict
prognosis
patients.
Aberrant
expression
is
associated
with
invasive
behavior
various
tumors,
including
glioblastoma.
However,
specific
role
mechanisms
are
still
unclear.
Methods
assessed
RNA-seq
microarray
from
TCGA
GEO
databases,
combined
scRNA-seq
glioma
patients
GEO.
Utilizing
Seurat
R
package,
we
identified
distinct
survival-related
gene
clusters
data.
Prognostic
pivotal
genes
were
discovered
through
single-factor
Cox
analysis,
a
model
was
using
LASSO
stepwise
regression
algorithms.
Moreover,
investigated
predictive
potential
these
immune
microenvironment
their
applicability
immunotherapy.
Finally,
vitro
experiments
confirmed
functional
significance
high-risk
CRYAB.
Results
By
analyzing
ScRNA-seq
data,
28
cell
representing
seven
types.
After
dimensionality
reduction
clustering
obtained
four
subpopulations
within
oligodendrocyte
lineage
trajectory.
Using
as
marker
for
terminal-stage
subpopulation,
found
that
its
poor
prognosis.
In
demonstrated
knocking
out
U87
LN229
cells
reduced
viability,
proliferation,
invasiveness.
Conclusion
The
risk
holds
promise
accurately
predicting
A
comprehensive
study
would
contribute
understanding
response
Targeting
may
be
beneficial
International Journal of Biological Sciences,
Journal Year:
2023,
Volume and Issue:
19(6), P. 1748 - 1763
Published: Jan. 1, 2023
N6-methyladenosine
(m6A)
methylation,
the
most
prevalent
and
abundant
RNA
modification
in
eukaryotes,
has
recently
become
a
hot
research
topic.Several
studies
have
indicated
that
m6A
is
dysregulated
during
progression
of
multiple
diseases,
especially
cancer
development.Programmed
cell
death
(PCD)
an
active
orderly
method
development
organisms,
including
apoptosis,
autophagy,
pyroptosis,
ferroptosis,
necroptosis.As
study
PCD
increasingly
profound,
accumulating
evidence
revealed
mutual
regulation
PCD,
their
interaction
can
further
influence
sensitivity
treatment.In
this
review,
we
summarize
recent
advances
terms
interplay
potential
mechanisms,
as
well
therapeutic
resistance.Our
provides
promising
insights
future
directions
for
examination
treatment
cancers.
Journal of Cellular and Molecular Medicine,
Journal Year:
2024,
Volume and Issue:
28(7)
Published: March 19, 2024
Abstract
Pancreatic
ductal
adenocarcinoma
(PDAC),
a
very
aggressive
tumour,
is
currently
the
third
leading
cause
of
cancer‐related
deaths.
Unfortunately,
many
patients
face
issue
inoperability
at
diagnostic
phase
to
quite
dismal
prognosis.
The
onset
metastatic
processes
has
crucial
role
in
elevated
mortality
rates
linked
PDAC.
Individuals
with
advances
receive
only
palliative
therapy
and
have
grim
It
essential
carefully
analyse
intricacies
process
enhance
prognosis
for
individuals
Malignancy
development
greatly
impacted
by
macrophage
efferocytosis.
Our
current
knowledge
about
complete
range
efferocytosis
activities
PDAC
their
intricate
interactions
tumour
cells
still
restricted.
This
work
aims
resolve
communication
gaps
pinpoint
transcription
factor
that
vital
immunological
response
populations.
We
analysed
eight
tissue
samples
sourced
from
gene
expression
omnibus.
utilized
several
software
packages
such
as
Seurat,
DoubletFinder,
Harmony,
Pi,
GSVA,
CellChat
Monocle
R
together
pySCENIC
Python,
single‐cell
RNA
sequencing
(scRNA‐seq)
data
collected
samples.
study
involved
analysis
comprehensive
sample
22,124
cells,
which
were
classified
into
distinct
cell
types.
These
types
encompassed
endothelial
epithelial
well
various
immune
including
CD4+
T
CD8+
NK
B
plasma
mast
monocytes,
DC
different
subtypes
macrophages,
namely
C0
TGM2+,
C1
PFN1+,
C2
GAS6+
C3
APOC3+.
differentiation
between
was
achieved
implementation
CopyKat
analysis,
resulting
detection
categorization
1941
cells.
amplification/deletion
patterns
observed
on
chromosomes
differ
significantly
those
Pseudotime
Trajectories
demonstrated
subtype
expressing
TGM2+
had
lowest
level
differentiation.
Additionally,
examination
set
scores
related
suggested
this
displayed
higher
activity
during
compared
other
subtypes.
most
active
factors
each
identified
BACH1,
NFE2,
TEAD4
ARID3A.
In
conclusion,
human
using
immunofluorescence
co‐localization
CD68
CD11b
within
regions
exhibiting
presence
keratin
(KRT)
alpha‐smooth
muscle
actin
(α‐SMA).
observation
implies
spatial
association
fibroblasts,
There
variation
efferocytosis‐associated
genes
diversity
might
potentially
influence
advancement
Moreover,
central
offers
promising
opportunity
targeted
immunotherapy
treatment