A Novel DNA Repair‐Gene Model to Predict Responses to Immunotherapy and Prognosis in Patients With EGFR‐Mutant Non‐Small Cell Lung Cancer
Thoracic Cancer,
Journal Year:
2025,
Volume and Issue:
16(4)
Published: Feb. 1, 2025
The
epidermal
growth
factor
receptor
mutant
(EGFRm)
non-small
cell
lung
cancer
(NSCLC)
has
a
unique
"cold"
immune
profile.
DNA
damage
repair
(DDR)
genes
are
closely
related
to
tumorigenesis
and
the
effectiveness
of
immunotherapy
in
many
tumors.
However,
role
mechanism
DDR
genesis
progression
EGFRm
NSCLC
remain
unclear.
This
study
included
101
samples
from
Cancer
Genome
Atlas
(TCGA)
dataset
GSE31210
(external
set)
GEO
database.
Cluster
analysis
was
used
identify
different
subtypes
based
on
expression
genes.
Univariate
LASSO
regression
develop
DDR-based
predictive
model.
prognostic
significance
this
model
assessed
using
Cox
regression,
Kaplan-Meier,
receiver
operating
characteristic
(ROC)
curve
analyses.
Bioinformatics
performed
investigate
clinicopathological
characteristics
profiles
associated
with
In
vitro
experiment
testify
NSCLC.
We
identified
two
NSCLC:
DDR-activated
DDR-suppressed.
subtype
showed
more
aggressive
clinical
behavior
poorer
prognosis
responsive
immunotherapy.
A
for
constructed
four
genes:
CAPS,
FAM83A,
IGLV8-61,
SLC7A5.
derived
risk
score
could
serve
as
an
independent
indicator.
High-
low-risk
patients
exhibited
distinct
characteristics,
profiles,
responses
T-cell
inflammation
Tumor
Immune
Dysfunction
Exclusion
(TIDE)
scores
differed
between
high-
subgroups,
both
showing
enhanced
subgroup.
Targeted
therapy
such
BI.2536,
inhibitor
polo-like
kinase
1,
be
effective
high-risk
Meanwhile,
detection
approved
response.
demonstrated
diversity
developed
these
assist
identifying
potential
candidates
assessing
personalized
treatment
Language: Английский
Defeating lethal cancer: Interrupting the ecologic and evolutionary basis of death from malignancy
CA A Cancer Journal for Clinicians,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 9, 2025
Despite
the
advances
in
cancer
prevention,
early
detection,
and
treatments,
all
of
which
have
led
to
improved
survival,
globally,
there
is
an
increased
incidence
cancer-related
deaths.
Although
each
patient
tumor
wholly
unique,
tipping
point
incurable
disease
common
across
patients:
dual
capacity
for
cancers
metastasize
resist
systemic
treatment.
The
discovery
genetic
mutations
epigenetic
variation
that
emerges
during
progression
highlights
evolutionary
ecology
principles
can
be
used
understand
how
evolves
a
lethal
phenotype.
By
applying
such
eco-evolutionary
framework,
authors
reinterpret
our
understanding
metastatic
process
as
one
ecologic
invasion
define
paths
evolving
therapy
resistance.
With
this
understanding,
draw
from
successful
strategies
optimized
strategic
interventions
with
goal
altering
trajectory
cancer.
Ultimately,
studying,
treating
using
provides
opportunity
improve
lives
patients
Language: Английский
Methods for Processing and Analyzing Images of Vascularized Micro-Organ and Tumor Systems
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 14, 2025
Our
group
has
developed
and
validated
an
advanced
microfluidic
platform
to
improve
preclinical
modeling
of
healthy
disease
states,
enabling
extended
culture
detailed
analysis
tissue-engineered
miniaturized
organ
constructs,
or
"organs-on-chips."
Within
this
system,
diverse
cell
types
self-organize
into
perfused
microvascular
networks
under
dynamic
flow
within
tissue
chambers,
effectively
mimicking
the
structure
function
native
tissues.
This
setup
facilitates
physiological
intravascular
delivery
nutrients,
immune
cells,
therapeutic
agents,
creates
a
realistic
microenvironment
study
cellular
interactions
responses.
Known
as
vascularized
micro-organ
(VMO),
adaptable
can
be
customized
represent
various
systems
tumors,
forming
micro-tumor
(VMT)
for
cancer
studies.
The
VMO/VMT
system
closely
simulates
in
vivo
nutrient
exchange
drug
3D
microenvironment,
establishing
high-fidelity
model
screening
mechanistic
studies
vascular
biology,
cancer,
organ-specific
pathologies.
Furthermore,
optical
transparency
device
supports
high-resolution,
real-time
imaging
fluorescently
labeled
cells
molecules
construct,
providing
key
insights
responses,
interactions,
processes
such
epithelial-mesenchymal
transition.
To
manage
extensive
data
generated,
we
created
standardized,
high-throughput
workflows
image
analysis.
manuscript
presents
our
processing
pipeline,
utilizing
suite
tools
Fiji/ImageJ
streamline
extraction
from
model,
substantially
reducing
manual
time.
Additionally,
demonstrate
how
these
adapted
analyzing
traditional
vitro
models
microphysiological
by
other
researchers.
Language: Английский
Improving tumor microenvironment assessment in chip systems through next-generation technology integration
Frontiers in Bioengineering and Biotechnology,
Journal Year:
2024,
Volume and Issue:
12
Published: Sept. 25, 2024
The
tumor
microenvironment
(TME)
comprises
a
diverse
array
of
cells,
both
cancerous
and
non-cancerous,
including
stromal
cells
immune
cells.
Complex
interactions
among
these
play
central
role
in
driving
cancer
progression,
impacting
critical
aspects
such
as
initiation,
growth,
invasion,
response
to
therapy,
the
development
drug
resistance.
While
targeting
TME
has
emerged
promising
therapeutic
strategy,
there
is
need
for
innovative
approaches
that
accurately
replicate
its
complex
cellular
non-cellular
interactions;
goal
being
develop
targeted,
personalized
therapies
can
effectively
elicit
anti-cancer
responses
patients.
Microfluidic
systems
present
notable
advantages
over
conventional
Language: Английский