Research Square (Research Square),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Dec. 28, 2023
Abstract
The
pathogenesis
of
hemorrhagic
fever
with
renal
syndrome
(HFRS)
is
greatly
affected
by
different
immune
cells.
At
present,
peripheral
blood
T
cell
receptor
(TCR)
or
B
(BCR)
library
sequencing
HFRS
still
lacking
and
expensive.
In
this
study,
the
computational
method
TRUST4
was
used
to
construct
TCR
BCR
libraries
from
a
large
number
RNA-seq
data
patients,
analyze
clonality
diversity
disease
libraries.
Although
function
cells
has
been
studied,
mechanism
remains
complex.
differentially
expressed
genes
in
each
type
cell-to-cell
interactions
between
clusters
have
not
covered.
work,
we
clustered
11
subsets
raw
scRNA-seq
disaggregated
characteristic
changes
proportion
under
conditions.
CellChat,
cell-cell
communication
analysis
tool,
also
effects
MIF
family,
CD70
GALECTIN
family
cytokines,
which
are
reported
be
involved
subsets,
respectively.
HDWGCNA
identified
core
occurrence
development
results
trajectory
showed
that
most
were
developmental
stage,
transcription
factors
Effector
CD8+
(GZMH),
(GZMK),
It
highly
Naive
CD4+
Our
comprehensively
illustrated
dynamic
during
HFRS.
This
work
identifies
specific
V
J
can
extend
our
understanding
These
findings
provide
new
insights
into
diagnosis
treatment
autoimmune
disease.
Environmental Toxicology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 31, 2025
Abstract
Background
Cervical
squamous
cell
carcinoma
(CSCC)
threatens
the
body
health
of
women
worldwide.
This
study
aimed
to
foster
a
new
concept
prognostic
indicator
named
death
index
(CDI).
Methods
RNA‐seq
and
scRNA‐seq
datasets
were
downloaded
from
GEO
TCGA
database
as
training
validation
cohorts.
Programmed
(PCD)‐related
gene
signatures
obtained
published
research.
The
construction
model
was
performed
based
on
CDI
value.
Patients
with
CSCC
divided
into
high‐
low‐CDI
groups.
We
explored
differences
in
overall
survival
time,
immune
infiltration,
mutation
status,
drug
sensitivity
between
high
low
groups
by
R
software.
Results
constructed
calculate
value
23
genes.
have
shorter
time
than
those
CDI.
considered
risk
factor
compared
other
characteristics.
nomogram
estimated
(OS)
at
1,
3,
6
years,
age,
Stage,
CDI,
indicating
accuracy
predicting
1‐,
3‐,
6‐year
rates.
values
negatively
correlated
most
checkpoint
measured
significant
Mitoxantrone,
Sabutoclax,
Sepantronium
bromide,
Topotecan,
BI‐2536,
BMS‐754807
correlation.
Conclusion
investigation
novel
effective
patients
identified
potential
genes
associated
that
could
be
targeted
for
prognosis
treatment
CSCC.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Feb. 14, 2025
Lung
adenocarcinoma
(LUAD)
is
the
most
common
type
of
lung
cancer,
accounting
for
approximately
35–40%
cancers,
and
overall
survival
time
patients
with
LUAD
still
very
poor.
B
cells
are
important
effector
adaptive
immunity,
B-cell
infiltration
increases
in
various
tumors.
The
role
largely
unknown.
Therefore,
it
particularly
to
clarify
LUAD.
GSE164983,
GSE50081,
GSE37745
GSE30219
were
obtained
from
GEO
database.
TCGA-LUAD
dataset
was
TCGA
UMAP
used
perform
clustering
descending
subgroup
identification
on
single-cell
RNA-sequencing
(scRNA-seq)
data
obtain
markers.
cohort
differentially
expressed
genes
(DEGs).
B-cell-related
(BRGs)
identified
through
intersection
markers
DEGs.
LASSO
method
identify
characteristic
BRGs
construct
a
prognostic
risk
model.
divided
into
high-risk
low-risk
groups
based
scores,
immune
landscape
two
evaluated.
We
also
analyzed
differences
clinical
characteristics,
mutations,
immunotherapy,
drug
sensitivity
between
groups.
Thirty
obtained,
6
identified.
Based
genes,
model
constructed.
According
model,
groups:
group
group.
Patients
had
worse
outcomes
shorter
times.
Low-risk
better
survival,
while
high
TNM
stage
accounted
greater
proportion
In
addition,
probability
mutation
immunotherapy
response.
Finally,
we
found
different
susceptibility
profiles
built
good
predictive
performance,
providing
new
perspective
prognosis
reference
research.
Journal of Cancer,
Journal Year:
2025,
Volume and Issue:
16(5), P. 1656 - 1667
Published: Feb. 10, 2025
Background:
Ovarian
cancer
(OC)
and
cervical
(CC)
are
the
leading
causes
of
death
among
women.
Therefore,
identifying
markers
for
early
detection
treatment
is
critical.
CDK1
governs
G2/M
transition
cell
cycle
a
significant
regulatory
protein
cycle.
RO-3306
UBE2C
related
to
expression
might
jointly
facilitate
development
OC.
CDK2
phosphorylate
MLK3,
which
plays
an
important
role
in
invasion
proliferation
OC
cells.
Furthermore,
miR-490-3P
targets
restrains
growth
ovarian
tumors.
also
crucial
part
progression
CC.
For
instance,
overexpression
can
rescue
effect
RCC1
knockdown,
involved
key
processes,
such
as
cytoplasmic
transport,
on
G1
progression.
Using
bioinformatics
analysis,
we
evaluated
functional
enrichment
co-expressed
gene
these
two
cancers
its
impact
their
prognoses.
Methods:
First,
screened
public
datasets
OC-
CC-associated
DEGs
identified
intersecting
genes.
Enrichment
analyses
genes
revealed
biological
pathways
processes.
We
then
generated
protein-protein
interaction
networks
identify
central
modules.
Results:
Additional
that
regulation
germ
maturation
were
primary
processes
regulated
by
core
examined
function
CC,
demonstrating
association
with
particular
immunological
infiltration
patterns.
mutational
burden,
copy
number
variation,
patient
survival
indicated
may
be
useful
prognostic
marker.
Finally,
immunohistochemical
examination
confirmed
some
candidate
clinical
samples.
Conclusion:
These
findings
shed
light
molecular
CC
will
aid
identification
novel
future
research
regarding
cancers,
including
diagnosis
treatment.
International Journal of Molecular Sciences,
Journal Year:
2025,
Volume and Issue:
26(6), P. 2447 - 2447
Published: March 9, 2025
Advances
in
single-cell
multi-omics
technologies
have
deepened
our
understanding
of
cancer
biology
by
integrating
genomic,
transcriptomic,
epigenomic,
and
proteomic
data
at
resolution.
These
provide
unprecedented
insights
into
tumour
heterogeneity,
microenvironment,
mechanisms
therapeutic
resistance,
enabling
the
development
precision
medicine
strategies.
The
emerging
field
genomic
has
improved
patient
outcomes.
However,
most
clinical
applications
still
depend
on
bulk
approaches,
which
fail
to
directly
capture
variations
driving
cellular
heterogeneity.
In
this
review,
we
explore
common
platforms
discuss
key
analytical
steps
for
integration.
Furthermore,
highlight
knowledge
resistance
immune
evasion,
potential
new
innovations
informed
multi-omics.
Finally,
future
directions
application
technologies.
By
bridging
gap
between
technological
advancements
implementation,
review
provides
a
roadmap
leveraging
improve
treatment
Oncology Letters,
Journal Year:
2024,
Volume and Issue:
27(4)
Published: Feb. 22, 2024
Tumor
invasion
and
metastasis
are
the
processes
that
primarily
cause
adverse
outcomes
in
patients
with
cervical
cancer.
Cancer‑associated
fibroblasts
(CAFs),
which
participate
cancer
progression
metastasis,
novel
targets
for
treatment
of
tumors.
The
present
study
aimed
to
assess
heterogeneity
CAFs
microenvironment
through
single‑cell
RNA
sequencing.
After
collecting
five
samples
obtaining
CAF‑associated
gene
sets,
were
divided
into
myofibroblastic
extracellular
(ec)CAFs.
ecCAFs
appeared
more
robust
pro‑tumorigenic
effects
than
myCAFs
according
enrichment
analysis.
Subsequently,
combining
ecCAF
hub
genes
bulk
expression
data
obtained
from
Cancer
Genome
Atlas
Gene
Ontology
databases,
univariate
Cox
regression
least
absolute
shrinkage
selection
operator
analyses
performed
establish
a
risk
signature
established
demonstrated
stable
strong
prognostic
capability
both
training
validation
cohorts.
association
between
clinical
was
evaluated,
nomogram
facilitate
application
established.
score
be
associated
tumor
immune
therapeutic
responses.
Moreover,
also
has
predictive
value
prognosis
head
neck
squamous
cell
carcinoma,
bladder
urothelial
human
papillomavirus
infection.
In
conclusion,
assessed
microenvironment,
subgroup
may
closely
defined.
based
on
shown
have
biomarker
functionality
terms
predicting
survival
rates,
therefore
this
CAF
become
target
future.
ACS Omega,
Journal Year:
2024,
Volume and Issue:
9(19), P. 20919 - 20926
Published: April 30, 2024
Cervical
cancer
is
a
significant
global
health
concern,
and
novel
therapeutic
strategies
are
continually
being
sought
to
combat
this
disease.
In
recent
years,
selenadiazole
found
latent
effects
on
tumors.
Herein,
investigating
the
mechanism
of
in
Hela
cells
holds
promise
for
advancing
cervical
treatment.
cells,
widely
utilized
model
studying
cancer,
were
treated
with
selenadiazole,
cell
viability
was
assessed
by
using
counting
kit-8
(CCK-8)
assay.
Changes
mitochondrial
membrane
potential
evaluated
JC-1
staining,
while
apoptosis
induction
examined
AnnexinV-PI
double
staining.
Intracellular
ROS
levels
measured
specific
fluorescent
probes
ELIASA
system.
Additionally,
Western
blotting
performed
assess
activation
related
proteins
response
selenadiazole.
Data
analysis
GraphPad.
Exposure
led
substantial
increase
intracellular
redox
oxygen
species
(ROS)
cells.
Importantly,
associated
marked
apoptosis,
as
evidenced
elevated
AnnexinV-positive
monomer,
caspase-9,
Bcl-2.
Furthermore,
JAK2/STAT3
pathway
observed
following
Selenadiazole
suppress
tumor
growth
increasing
reactive
inducing
via
pathway.
This
study
offers
valuable
insights
into
therapies
underscores
need
further
research
mechanisms