Journal of Cellular and Molecular Medicine,
Год журнала:
2024,
Номер
28(23)
Опубликована: Дек. 1, 2024
ABSTRACT
Prostate
cancer
(PCa)
constitutes
a
highly
common
and
lethal
disease
that
impacts
males
globally.
However,
the
specific
molecular
pathways
responsible
for
its
development
are
still
unknown.
Therefore,
revealing
regulators
contributed
to
progression
of
PCa
is
pivotal
developing
unique
management
strategies.
Through
comprehensive
bioinformatics
analysis
multiple
public
gene
databases,
we
thoroughly
investigated
COL10A1
expression
level,
clinical
significance,
co‐expressed
genes
signalling
in
PCa.
INHBA
level
was
assessed
specimens
using
RT‐qPCR,
Western
blotting
immunohistochemistry.
A
combination
experimental
techniques,
including
CCK‐8
assay,
colony
formation,
flow
cytometry,
Transwell,
wound‐healing,
immunoprecipitation
assays
rescue
study,
utilised
examine
fundamental
COL10A1's
action
across
The
significantly
elevated
PCa,
upregulation
has
been
connected
with
tumour
aggressiveness
weak
predictive
outcome
subjects.
current
investigation
revealed
regulation
expression,
either
by
or
downregulation,
resulted
sequential
augmentation
suppression
cell
progression,
migration
invasion.
Mechanistically,
manifested
directly
interact
facilitate
PI3K
AKT
phosphorylation
within
cells
mouse
models.
results
our
study
offer
new
perspectives
on
tumorigenic
role
interactions
may
play
important
roles
progression.
Journal of Cellular and Molecular Medicine,
Год журнала:
2024,
Номер
28(15)
Опубликована: Авг. 1, 2024
The
aetiology
of
bone
metastasis
in
prostate
cancer
(PCa)
remains
unclear.
This
study
aims
to
identify
hub
genes
involved
this
process.
We
utilized
machine
learning,
GO,
KEGG,
GSEA,
Single-cell
analysis,
ROC
methods
for
PCa
using
the
TCGA
and
GEO
databases.
Potential
drugs
targeting
these
were
identified.
validated
results
16
specimens
from
patients
with
analysed
relationship
between
clinical
features.
impact
APOC1
on
was
assessed
through
vitro
experiments.
Seven
AUC
values
0.727-0.926
APOC1,
CFH,
NUSAP1
LGALS1
highly
expressed
tissues,
while
NR4A2,
ADRB2
ZNF331
exhibited
an
opposite
trend.
Immunohistochemistry
further
confirmed
results.
oxidative
phosphorylation
pathway
significantly
enriched
by
identified
genes.
Aflatoxin
B1,
benzo(a)pyrene,
cyclosporine
as
potential
drugs.
expression
correlated
features
metastasis.
Silencing
inhibited
cell
proliferation,
clonality,
migration
vitro.
7
that
potentially
facilitate
mitochondrial
metabolic
reprogramming.
emerged
a
promising
therapeutic
target
prognostic
marker
Abstract
Background
Calcium-regulated
heat-stable
protein
1
(CARHSP1)
has
been
identified
as
a
cold
shock
domain
(CSD)
family
member,
participating
in
the
regulation
of
ribosomal
translation,
mRNA
degradation,
and
rate
transcription
termination.
However,
there
is
an
extremely
limited
understanding
function
CARHSP1
RNA
binding
(RBP)
prostate
cancer
(PCa).
Methods
The
expression
pattern
correlation
between
clinical
prognosis
PCa
patients
were
analyzed
by
using
multiple
public
databases.
In
vitro
vivo
functional
assays
conducted
to
assess
role
CARHSP1.
mechanisms
on
IL-17RA
pull-down
stability
assays.
A
co-culture
model
Jurkat
cells
was
established
investigate
potential
tumor
immunity
PCa.
Results
highly
expressed
PCa,
correlated
with
advanced
characteristics
unfavorable
patients.
Moreover,
knockdown
significantly
dampened
capacity
proliferation,
migration,
invasion,
immune
evasion
vivo.
Mechanistically,
RNA-binding
selectively
bound
IL-17RA,
resulting
increased
both
protein.
Downregulating
shortened
half-life
reduced
its
expression.
Subsequently,
downstream
pathways
JAK-STAT3
signaling
pathway
NF-κB
pathway,
activated
contributed
malignant
phenotype
cells.
Conclusions
conclusion,
our
results
demonstrated
that
prognosis,
may
promote
progression
through
enhancing
activating
pathways.
These
suggest
important
regulator
microenvironment
CARHSP1-IL-17RA
axis
could
be
novel
therapeutic
targets
for
Frontiers in Molecular Biosciences,
Год журнала:
2025,
Номер
12
Опубликована: Март 12, 2025
Background
Prostate
cancer
(PCa)
is
a
major
cause
of
cancer-related
mortality
in
men,
characterized
by
significant
heterogeneity
clinical
behavior
and
treatment
response.
Histone
modifications
play
key
roles
tumor
progression
resistance,
but
their
regulatory
effects
PCa
remain
poorly
understood.
Methods
We
utilized
integrative
multi-omics
analysis
machine
learning
to
explore
histone
modification-driven
PCa.
The
Comprehensive
Machine
Learning
Modification
Score
(CMLHMS)
was
developed
classify
into
two
distinct
subtypes
based
on
modification
patterns.
Single-cell
RNA
sequencing
performed,
drug
sensitivity
identified
potential
therapeutic
vulnerabilities.
Results
High-CMLHMS
tumors
exhibited
elevated
activity,
enriched
proliferative
metabolic
pathways,
were
strongly
associated
with
castration-resistant
prostate
(CRPC).
Low-CMLHMS
showed
stress-adaptive
immune-regulatory
phenotypes.
revealed
differentiation
trajectories
related
aggressiveness
Drug
that
high-CMLHMS
more
responsive
growth
factor
kinase
inhibitors
(e.g.,
PI3K,
EGFR
inhibitors),
while
low-CMLHMS
demonstrated
greater
cytoskeletal
DNA
damage
repair-targeting
agents
Paclitaxel,
Gemcitabine).
Conclusion
CMLHMS
model
effectively
stratifies
unique
biological
characteristics.
This
study
provides
new
insights
suggests
targets,
contributing
precision
oncology
strategies
for
advanced
Frontiers in Oncology,
Год журнала:
2025,
Номер
15
Опубликована: Апрель 17, 2025
This
study
aims
to
detect
vascular
and
neural
invasion
in
prostate
cancer
through
MRI,
utilize
habitat
analysis
of
the
tumor
microenvironment,
construct
a
radiomic
feature
model,
thereby
enhancing
diagnostic
accuracy
prognostic
assessment
for
cancer,
ultimately
improving
patients'
quality
life.
We
retrospectively
collected
records
400
patients
with
pathologically
verified
from
January
December
2023.
developed
features
model
within
using
MRI
data
identified
independent
risk
factors
multivariate
clinical
model.
Finally,
we
assessed
performance
these
DeLong
test
(through
area
under
receiver
operating
characteristic
curve,
AUC),
evaluated
calibration
curve
Hosmer-Lemeshow
test,
performed
decision
analysis.
In
training
set,
optimal
algorithm
based
on
intratumoral
heterogeneity
score
had
an
AUC
value
0.882
(CI:
0.843-0.921);
was
0.860
0.792-0.928).
The
traditional
radiomics
(considering
entire
tumor)
0.761
0.695-0.827)
set
0.732
0.630-0.834)
set.
combined
that
integrates
scores
Gleason
0.889
0.8509-0.9276)
0.886
0.8183-0.9533)
outperforming
single
models.
By
deeply
analyzing
microenvironment
combining
models,
precision
predictive
nerve
can
be
significantly
improved.
approach
provides
valuable
tool
optimizing
treatment
plans,
patient
prognosis,
reducing
unnecessary
medical
interventions.
Biomedicines,
Год журнала:
2025,
Номер
13(5), С. 1203 - 1203
Опубликована: Май 15, 2025
Background:
Bladder
cancer
(BC)
is
a
common
malignancy
in
the
urinary
system,
with
an
increasing
incidence
rate.
Immune
cell
infiltration
within
tumor
microenvironment
(TME)
plays
crucial
role
BC
progression
and
treatment
response.
However,
immune
composition
of
TME
presents
significant
challenge
to
effectiveness
current
therapeutic
strategies.
Methods:
We
performed
bidirectional
Mendelian
randomization
(MR)
analysis
investigate
impact
cells
on
risk.
Single
nucleotide
polymorphisms
(SNPs)
related
were
annotated,
candidate
genes
associated
risk
identified.
Differential
expression
identified
immune-related
differentially
expressed
(iDEGs),
protein-protein
interaction
(PPI)
network
along
functional
enrichment
conducted
explore
their
roles
development.
Machine
learning-based
feature
selection
was
applied
identify
potential
biomarkers
targets.
Results:
MR
revealed
eight
subtypes
significantly
BC.
Using
SNPs
linked
these
cells,
129
through
SNPense
tool
cross-referenced
BC,
resulting
identification
28
iDEGs.
learning
five
diagnostic
(COLEC12,
TMCC1,
CEP55,
KLK3,
COL4A1)
AUC
0.903,
which
are
implicated
modulation
progression.
Conclusions:
This
study
provides
new
insights
into
mechanisms
identifies
promising
for
early
diagnosis
intervention.
IET Systems Biology,
Год журнала:
2024,
Номер
18(5), С. 155 - 171
Опубликована: Авг. 13, 2024
Abstract
For
the
multistage
progression
of
prostate
cancer
(PCa)
and
resistance
to
immunotherapy,
tumour‐associated
macrophage
is
an
essential
contributor.
Although
immunotherapy
important
promising
treatment
modality
for
cancer,
most
patients
with
PCa
are
not
responsive
towards
it.
In
addition
exploring
new
therapeutic
targets,
it
imperative
identify
highly
immunotherapy‐sensitive
individuals.
This
research
aimed
establish
a
signature
risk
model,
which
derived
from
macrophage,
assess
immunotherapeutic
responses
predict
prognosis.
Data
UCSC‐XENA,
GEO
TISCH
databases
were
extracted
analysis.
Based
on
both
single‐cell
datasets
bulk
transcriptome
profiles,
macrophage‐related
score
(MRS)
consisting
10‐gene
panel
was
constructed
using
gene
set
variation
MRS
correlated
hypoxia,
angiogenesis,
epithelial‐mesenchymal
transition,
suggesting
its
potential
as
indicator.
Moreover,
poor
worse
prognostic
performance
observed
in
high‐MRS
group
various
cohorts.
Additionally,
APOE,
one
constituent
genes
MRS,
affected
polarisation
macrophages.
particular,
reduced
level
M2
tumour
suppression
xenografts
implanted
Apolipoprotein
E‐knockout
mice.
The
has
robust
prediction
tool,
can
aid
selection
PCa,
especially
options.
Frontiers in Genetics,
Год журнала:
2024,
Номер
15
Опубликована: Май 9, 2024
Background:
Observational
studies
have
indicated
a
potential
correlation
between
glioblastoma
and
circulating
inflammatory
proteins.
Further
investigation
is
required
to
establish
causal
relationship
these
two
factors.
Methods:
We
performed
Mendelian
randomization
(MR)
analysis
using
genome-wide
association
study
(GWAS)
summary
of
91
inflammation-related
proteins
(N
=
14,824)
assess
their
impact
on
glioblastoma.
The
GWAS
data
for
included
243
cases
287,137
controls.
inverse
variance
weighted
(IVW)
method
was
used
as
the
primary
analytical
causality.
Four
additional
MR
methods
[simple
mode,
MR-Egger,
median,
mode]
were
supplement
IVW
results.
Furthermore,
several
sensitivity
analyses
heterogeneity,
horizontal
pleiotropy,
stability.
Reverse
also
performed.
transcriptomic
from
Cancer
Genome
Atlas
(TCGA)
analyzed
validate
findings
obtained
through
MR,
while
pathway
functional
enrichment
conducted
predict
underlying
mechanisms.
Results:
Our
employing
in
our
forward
provide
robust
evidence
supporting
elevated
levels
Cystatin
D,
well
decreased
fibroblast
growth
factor
21
(FGF21)
circulation.
Moreover,
reverse
revealed
that
may
contribute
increased
concentrations
C-X-C
motif
chemokine
9
(CXCL9)
Interleukin-33
(IL-33)
bloodstream.
Transcriptomic
showed
FGF21
expression
inversely
associated
with
risk
developing
glioblastoma,
whereas
an
linked
CXCL9
IL-33.
Pathway
suggested
D
might
exert
its
effects
intracellular
protein
transport,
affect
via
glucose
response
Conclusion:
These
results
indicate
significant
susceptibility.
Glioblastoma
affects
such
Interleukin-33,
providing
new
insights
into
mechanisms
genesis
clinical
research.
Rejuvenation Research,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 23, 2024
As
a
typical
E3
ligase,
tripartite
motif-containing
65
(TRIM65),
is
implicated
in
the
modulation
of
biological
processes,
such
as
metastasis,
proliferation,
and
apoptosis.
However,
function
TRIM65
prostate
cancer
(PCa)
its
potential
mechanism
have
not
yet
been
excavated.
In
this
work,
we
affirmed
Tripartite
protein
(TRIM65)
new
oncogene
PCa,
which
accelerated
PCa
cell
proliferation
impeded
ferroptosis.
vivo,
depletion
inhibited
tumorigenesis
metastasis.
Mechanically,
our
findings
uncovered
that
enhances
NKD
inhibitor
WNT
signaling
pathway
2
(NKD2)
degradation
via
ubiquitin-proteasome
signaling.
facilitated
restricted
ferroptosis
downregulating
NKD2
levels.
Moreover,
activated
wingless-integrated/β-catenin
cells
inhibiting
NKD2.
Taken
together,
these
data
controls
regulates
Wnt/β-catenin
directly
targeting
for
ubiquitination
degradation.
Our
study
provides
insights
into
multifaceted
regulatory
role
development
laying
foundation
exploring
therapeutic
approaches.