Discover Oncology,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: Nov. 13, 2024
The
microenvironment
of
clear
cell
renal
carcinoma
(ccRCC)
is
characterized
by
hypoxia
and
increased
lactate
production.
However,
the
impact
metabolism
on
ccRCC
remains
incompletely
understood.
In
this
study,
a
new
molecular
subtype
developed
based
hypoxia-related
genes
(HRGs)
metabolism-related
(LMRGs),
aiming
to
create
tool
that
can
predict
survival
rate,
immune
status,
responsiveness
treatment
patients.
We
obtained
RNA-seq
data
clinical
information
patients
with
from
TCGA
GEO.
HRGs
LMRGs
are
sourced
Molecular
Signatures
Database.
Integrating
10
machine
learning
algorithms
101
frameworks,
we
constructed
prognostic
model
related
metabolism.
Its
accuracy
reliability
evaluated
through
constructing
nomograms,
drawing
ROC
curves,
validating
datasets.
Additionally,
risk
subgroups
functional
enrichment,
tumor
mutational
burden
(TMB),
infiltration
degree,
checkpoint
expression
level.
Finally,
evaluate
immunotherapy
determine
personalized
drugs
for
specific
subgroups.
85
valuable
were
screened
out.
Functional
enrichment
analysis
shows
group
high-risk
scores
(HLMRGS)
mainly
involved
in
activation
immune-related
activities,
while
low
HLMRGS
more
active
metabolic
tumor-related
pathways.
At
same
time,
differences
cellular
states
between
high
observed.
potential
determined.
have
novel
signature
integrates
It
expected
become
an
effective
prognosis
prediction,
medicine
ccRCC.
Biomedical Reports,
Journal Year:
2025,
Volume and Issue:
22(3)
Published: Jan. 8, 2025
The
advent
of
personalized
and
precision
medicine
has
revolutionized
oncology
treatment
gynecological
cancer.
These
innovative
approaches
tailor
treatments
to
individual
patient
profiles
beyond
genetic
markers
considering
environmental
lifestyle
factors,
thereby
optimizing
therapeutic
efficacy
minimizing
adverse
effects.
Precision
uses
advanced
genomic
technologies
such
as
next‑generation
sequencing
perform
comprehensive
tumor
profiling.
This
allows
identification
distinct
mutations,
expression
patterns
signaling
pathway
alterations,
revealing
the
complex
molecular
landscape
cancer
ovarian,
cervical
uterine
A
major
challenge
in
treating
these
cancers
is
their
inherent
heterogeneity,
which
can
influence
behavior,
therapy
response
prognosis.
aims
overcome
this
by
identifying
biomarkers
drivers
for
targeted
selection.
For
example,
breast
(BRCA)
gene
mutations
ovarian
guided
use
poly
(ADP‑ribose)
polymerase
inhibitors,
leading
more
effective
with
fewer
side
Similar
therapies
immunotherapies
have
also
been
developed
cancer,
marking
progress
toward
care.
Future
directions
emphasize
importance
profiling
development
therapies.
By
understanding
unique
features
each
patient,
clinicians
select
most
strategies
improve
outcomes
quality
life.
Frontiers in Immunology,
Journal Year:
2025,
Volume and Issue:
16
Published: March 3, 2025
Background
NUP62,
a
key
component
of
the
nuclear
pore
complex,
is
closely
associated
with
cellular
functions
and
cancer
progression.
However,
its
expression
patterns,
prognostic
value,
relationship
tumour
immunity
drug
sensitivity
across
multiple
cancers
have
not
been
systematically
studied.
This
study
used
multi-omics
analyses
combined
experimental
validation
in
gastric
to
investigate
expression,
functional
characteristics,
clinical
relevance
NUP62
cancer.
Methods
Data
from
TCGA,
GTEx,
CPTAC
databases
were
analyse
mutation
associations
NUP62.
Tools
such
as
SangerBox,
TIMER
2.0,
GSEA
employed
evaluate
between
immune
microenvironment,
well
involvement
signalling
pathways.
Immunohistochemistry
RT-PCR
validate
tissues.
PRISM
CTRP
utilised
assess
correlation
sensitivity.
Results
was
significantly
upregulated
poor
prognosis
clear
cell
renal
carcinoma
(KIRC),
lower-grade
glioma
(LGG),
adrenocortical
(ACC),
while
playing
protective
role
others,
bladder
(BLCA)
stomach
(STAD).
Functional
showed
that
involved
cycle
regulation,
DNA
damage
repair,
immunity.
High
correlated
increased
infiltration
cells,
macrophages
T
higher
response
rate
immunotherapy.
Drug
analysis
identified
marker
various
chemotherapeutic
agents.
Validation
experiments
demonstrated
mRNA
protein
levels
tissues
than
adjacent
normal
Conclusions
plays
critical
shows
potential
biomarker
for
diagnosis,
prognosis,
therapeutic
prediction.
Its
pathways
highlights
target
immunotherapy
precision
medicine.
Journal of Cancer Research and Clinical Oncology,
Journal Year:
2025,
Volume and Issue:
151(4)
Published: April 18, 2025
Abstract
Background
Protein
phosphatase
2
regulatory
subunit
A
alpha
(
PPP2R1A
)
is
the
most
common
scaffold
protein
in
PP2A
complex
and
has
known
tumor-suppressive
functions.
However,
its
role
gastric
cancer
(GC)
still
unclear.
This
study
aims
to
elucidate
potential
of
biological
functions
GC.
Methods
The
mutation
status
expression
levels
GC
were
assessed
through
bioinformatics
analysis,
correlation
between
patient
survival
rates
was
examined,
functional
network
analyzed.
Stable
AGS
MGC803
cell
lines
set
up
for
overexpressing
silencing
.
effects
on
proliferation,
migration,
invasion,
apoptosis
CCK-8
assays,
scratch
Transwell
flow
cytometry.
Results
significantly
elevated
samples
P
<
0.001)
not
caused
by
mutations
>
0.05).
Patients
with
high
have
a
poorer
5-year
rate
0.001).
Silencing
inhibits
invasion
cells
while
promoting
0.01).
In
contrast,
overexpression
does
significant
impact
these
cellular
Conclusion
oncogenic
properties
progression
GC,
knocking
down
can
inhibit
tumor
cells.
suggests
that
may
serve
as
prognostic
marker
therapeutic
target
Quantitative Biology,
Journal Year:
2025,
Volume and Issue:
13(4)
Published: April 24, 2025
Abstract
Cellular
plasticity
enables
cells
to
dynamically
adapt
environmental
changes
by
altering
their
phenotype.
This
plays
a
crucial
role
in
tissue
repair
and
regeneration
contributes
pathological
processes
such
as
cancer
metastasis.
Advances
single‐cell
omics
have
significantly
advanced
the
study
of
cellular
states
provided
new
opportunities
for
accurate
cell
classification
uncovering
transitions.
In
this
perspective,
we
emphasize
integrating
chromatin
accessibility
data
extrinsic
factors,
microenvironmental
cues,
with
transcriptomic
develop
holistic
models
identifying
plastic
states.
Additionally,
coupling
artificial
intelligence
offers
transformative
potential
address
existing
challenges
fill
gaps
characterizing
cells.
We
envision
development
universal
metric,
standardized
metric
quantifying
plasticity.
would
enable
consistent
measurement
across
diverse
studies,
creating
unified
framework
that
bridges
fields
developmental
biology,
research,
regenerative
medicine.
Fostering
innovative
approaches
analyzing
promises
not
only
deepen
our
understanding
but
also
accelerate
therapeutic
advancements,
paving
way
novel
precision
medicine
strategies
treat
complex
diseases
cancer.
Biomedicine & Pharmacotherapy,
Journal Year:
2024,
Volume and Issue:
177, P. 117083 - 117083
Published: July 4, 2024
Cancer
stem
cells
(CSCs)
can
self-renew
and
differentiate,
contributing
to
tumor
heterogeneity,
metastasis,
recurrence.
Their
resistance
therapies,
including
immunotherapy,
underscores
the
importance
of
targeting
them
for
complete
remission
relapse
prevention.
Olfactomedin
4
(OLFM4),
a
marker
associated
with
various
cancers
such
as
colorectal
cancer,
is
expressed
on
CSCs
promoting
immune
evasion
tumorigenesis.
However,
its
potential
target
CSC-specific
immunotherapy
remains
underexplored.
The
primary
aim
this
study
evaluate
effectiveness
OLFM4
dendritic
cell
(DC)-based
vaccines
in
inhibiting
growth
metastasis.
To
improve
antigen
delivery
response,
was
conjugated
protein-transduction
domain
(PTD)
from
antennapedia
Drosophila
called
penetratin,
creating
fusion
protein
(P-OLFM4).
efficacy
DCs
pulsed
P-OLFM4
(DCs
[P-OLFM4])
compared
[OLFM4])
PBS
[PBS]).
[P-OLFM4]
inhibited
by
91.2
%
significantly
reduced
lung
metastasis
OLFM4+
melanoma
97
%,
[PBS].
[OLFM4]
also
demonstrated
reduction
59.7
Immunization
enhanced
OLFM4-specific
T-cell
proliferation,
interferon-γ
production,
cytotoxic
T
activity
mice.
results
indicate
that
viable
CSC-focused
immunotherapy.
DC
elicit
robust
responses,
This
strategy
holds
promise
developing
more
effective
cancer
treatments
specifically
CSCs,
potentially
leading
better
patient
outcomes
reducing
likelihood
Pharmaceutics,
Journal Year:
2024,
Volume and Issue:
16(8), P. 1047 - 1047
Published: Aug. 6, 2024
Cancer
is
still
ranked
among
the
top
three
causes
of
death
in
30-
to
69-year-old
age
group
most
countries
and
carries
considerable
societal
macroeconomic
costs
that
differ
depending
on
cancer
type,
geography,
patient
gender.
Despite
advances
several
pharmacological
approaches,
lack
stability
specificity,
dose-related
toxicity,
limited
bioavailability
chemotherapy
(standard
therapy)
pose
major
obstacles
treatment,
with
multidrug
resistance
being
a
driving
factor
failure.
The
past
decades
have
been
stage
for
intense
research
activity
topic
nanomedicine,
which
has
resulted
many
nanotherapeutics
reduced
increased
bioavailability,
improved
pharmacokinetics
therapeutic
efficacy
employing
smart
drug
delivery
systems
(SDDSs).
Polymeric
micelles
(PMs)
become
an
auspicious
DDS
medicinal
compounds,
used
encapsulate
hydrophobic
drugs
also
exhibit
substantial
toxicity.
Through
preclinical
animal
testing,
PMs
pharmacokinetic
profiles
efficacy,
resulting
higher
safety
profile
drugs.
This
review
focuses
are
already
clinical
trials,
traveling
pathways
from
studies
until
introduction
market.