Frontiers in Immunology,
Journal Year:
2024,
Volume and Issue:
15
Published: July 29, 2024
Brain
metastatic
cancer
poses
a
significant
clinical
challenge,
with
limited
treatment
options
and
poor
prognosis
for
patients.
In
recent
years,
immunotherapy
has
emerged
as
promising
strategy
addressing
brain
metastases,
offering
distinct
advantages
over
conventional
treatments.
This
review
explores
the
evolving
landscape
of
tumor
in
context
cancer,
focusing
on
intricate
interplay
between
microenvironment
(TME)
immunotherapeutic
approaches.
By
elucidating
complex
interactions
within
TME,
including
role
immune
cells,
cytokines,
extracellular
matrix
components,
this
highlights
potential
to
reshape
paradigm
metastases.
Leveraging
checkpoint
inhibitors,
cellular
immunotherapies,
personalized
strategies,
holds
promise
overcoming
challenges
posed
by
blood-brain
barrier
immunosuppressive
Through
comprehensive
analysis
current
research
findings
future
directions,
underscores
transformative
impact
management
new
insights
opportunities
precise
therapeutic
interventions.
Cancers,
Journal Year:
2023,
Volume and Issue:
15(3), P. 722 - 722
Published: Jan. 24, 2023
Lung
cancer
is
one
of
the
most
frequent
tumors
that
metastasize
to
brain.
Brain
metastasis
(BM)
common
in
advanced
cases,
being
major
cause
patient
morbidity
and
mortality.
BMs
are
thought
arise
via
seeding
circulating
tumor
cells
into
brain
microvasculature.
In
tissue,
interaction
with
immune
promotes
a
microenvironment
favorable
growth
cells.
Despite
multimodal
treatments
advances
systemic
therapies,
lung
patients
still
have
poor
prognoses.
Therefore,
there
an
urgent
need
identify
molecular
drivers
BM
clinically
applicable
biomarkers
order
improve
disease
outcomes
survival.
The
goal
this
review
summarize
current
state
knowledge
on
mechanisms
metastatic
spread
how
influenced
by
microenvironment,
elucidate
determinants
regarding
role
genomic
transcriptomic
changes,
including
coding
non-coding
RNAs.
We
also
present
overview
therapeutics
novel
treatment
strategies
for
diagnosed
from
NSCLC.
International Journal of Molecular Sciences,
Journal Year:
2024,
Volume and Issue:
25(4), P. 2044 - 2044
Published: Feb. 7, 2024
Brain
metastases
represent
a
significant
clinical
challenge
in
the
treatment
of
non-small-cell
lung
cancer
(NSCLC),
often
leading
to
severe
decline
patient
prognosis
and
survival.
Recent
advances
imaging
systemic
treatments
have
increased
detection
rates
brain
metastases,
yet
outcomes
remain
dismal
due
complexity
metastatic
tumor
microenvironment
(TME)
lack
specific
biomarkers
for
early
targeted
therapy.
The
intricate
interplay
between
NSCLC
cells
surrounding
TME
is
pivotal,
influencing
progression,
immune
evasion,
response
This
underscores
necessity
deeper
understanding
molecular
underpinnings
microenvironment,
identification
actionable
that
can
inform
multimodal
approaches.
goal
this
review
synthesize
current
insights
into
elucidate
mechanisms
metastases.
Furthermore,
we
will
explore
promising
horizon
emerging
biomarkers,
both
tissue-
liquid-based,
hold
potential
radically
transform
strategies
enhancement
outcomes.
Neuro-Oncology Advances,
Journal Year:
2024,
Volume and Issue:
6(1)
Published: Jan. 1, 2024
Abstract
Brain
metastases
remain
a
challenging
and
feared
complication
for
patients
with
cancer
research
in
this
area
has
lagged
behind
into
to
other
organs.
Due
their
location
the
risks
associated
neurosurgical
biopsies,
biology
underpinning
brain
response
treatment
evolution
over
time
remains
poorly
understood.
Liquid
biopsies
are
proposed
overcome
many
of
limitations
present
tissue
providing
better
representation
tumor
heterogeneity,
facilitating
repeated
sampling,
noninvasive
assessment
biology.
Several
different
liquid
biopsy
approaches
have
been
investigated
including
circulating
cells,
DNA,
extracellular
vesicles,
tumor-educated
platelets;
however,
these
generally
less
effective
assessing
compared
organs
requiring
improved
techniques
investigate
approaches,
studies
combining
and/or
novel
approaches.
Through
review,
we
highlight
current
state
art
define
key
unanswered
questions
related
biopsies.
Frontiers in Oncology,
Journal Year:
2024,
Volume and Issue:
14
Published: March 21, 2024
Gastric
cancer
is
one
of
the
cancers
with
increasing
incidence
and
ranks
fourth
globally
among
most
frequent
causes
cancer-related
mortality.
Early
gastric
often
asymptomatic
or
presents
atypical
symptoms,
majority
patients
present
advanced
disease
upon
diagnosis.
Brain
metastases
are
in
approximately
1%
at
time
diagnosis,
which
significantly
contributed
to
overall
mortality
worldwide.
Conventional
therapies
for
brain
remain
limited
median
survival
only
8
months
cases.
Recent
studies
have
improved
our
understanding
molecular
mechanisms
underlying
metastases,
immunotherapy
has
become
an
important
treatment
option
combination
radiotherapy,
chemotherapy,
targeted
therapy
surgery.
This
review
aims
provide
insight
into
cellular
processes
involved
discuss
diagnostic
approaches,
evaluate
integration
immune
checkpoint
inhibitors
prognosis,
explore
predictive
value
biomarkers
immunotherapy.
Critical Reviews in Oncology/Hematology,
Journal Year:
2024,
Volume and Issue:
198, P. 104377 - 104377
Published: May 6, 2024
Brain
metastases
(BrM)
are
common
malignant
lesions
in
the
central
nervous
system,
and
pose
a
significant
threat
advanced-stage
malignancies
due
to
delayed
diagnosis
limited
therapeutic
options.
Their
distinct
genomic
profiles
underscore
need
for
molecular
profiling
tailor
effective
treatments.
Recent
advances
cancer
biology
have
uncovered
drivers
underlying
tumor
initiation,
progression,
metastasis.
This,
coupled
with
imaging
technology
radiotracer
synthesis,
has
paved
way
development
of
innovative
radiopharmaceuticals
enhanced
specificity
affinity
BrM
specific
targets.
Despite
challenges
posed
by
blood-brain
barrier
drug
delivery,
several
radiolabeled
compounds
shown
promise
detecting
targeting
BrM.
This
manuscript
provides
an
overview
recent
biomarkers
used
nuclear
targeted
radionuclide
therapy
both
clinical
preclinical
settings.
Additionally,
it
explores
potential
theranostic
applications
addressing
unique
JCO Precision Oncology,
Journal Year:
2023,
Volume and Issue:
7
Published: July 19, 2023
Circulating
tumor
DNA
(ctDNA)
detection
in
blood
has
emerged
as
a
prognostic
and
predictive
biomarker
demonstrating
improved
assessment
of
treatment
response
patients
receiving
immune
checkpoint
inhibitors
(ICIs).
Here,
we
performed
pilot
study
to
support
the
role
ctDNA
for
longitudinal
monitoring
with
advanced
genitourinary
(GU)
malignancies
ICIs.Patients
histologically
confirmed
GU
were
prospectively
enrolled.
All
eligible
received
ICI
at
least
12
weeks,
followed
by
serial
collection
samples
every
6-8
weeks
conventional
scans
approximately
until
disease
progression.
analysis
was
using
Signatera,
tumor-informed
multiplex-polymerase
chain
reaction
next-generation
sequencing
assay.
Overall,
objective
rate
(ORR)
reported
its
association
status
evaluated.
Concordance
between
dynamics
imaging
also
assessed.ctDNA
on
98
banked
plasma
from
20
(15
renal,
four
urothelial,
one
prostate).
The
median
follow-up
time
initiation
progressive
(PD)
or
data
cutoff
67.7
(range,
19.6-169.6).
ORR
70%
(14/20).
Eight
ultimately
developed
PD.
overall
concordance
radiographic
observed
83%
(15/18)
patients.
Among
three
discordant
results,
two
CNS
metastases
progressed
extracranial
systemic
while
remained
undetectable.In
this
study,
tumors
feasible.
Larger
prospective
studies
are
warranted
validate
utility
an
tool
malignancies.
IEEE Access,
Journal Year:
2023,
Volume and Issue:
11, P. 123080 - 123095
Published: Jan. 1, 2023
Accurate
classification
of
brain
tumors
is
essential
for
effective
medical
diagnosis
and
treatment
planning.
Traditional
approaches
rely
on
convolutional
neural
networks
(CNNs)
tumor
detection,
but
they
often
suffer
from
high
computational
demands
due
to
the
large
number
parameters.
In
this
paper,
we
propose
a
novel
approach
using
involutional
(InvNets),
which
are
designed
mitigate
parameter-intensive
nature
CNNs.
Unlike
spatial-agnostic
channel-specific
convolution
kernel,
involution
kernel
location-specific
channel-agnostic.
This
operation
allows
network
adapt
various
visual
patterns
with
respect
different
spatial
locations,
enhancing
its
ability
capture
intricate
features
within
images.
Our
study
focuses
four-class
problem,
aiming
differentiate
between
types
based
imaging
data.
comparative
analysis,
demonstrate
that
conventional
CNNs
require
over
4
million
parameters,
whereas
our
proposed
InvNets
less
than
0.2
making
them
more
efficient
resource-friendly.
The
evaluation
both
carried
out
standard
performance
matrices:
accuracy,
precision,
recall,
F1
score,
AUC-ROC
values.
findings
reveal
consistently
outperform
traditional
InvNet
architecture
achieves
an
impressive
92%
accuracy
rate,
showcasing
potential
accurate
classification.
improved
combined
reduced
parameter
count,
highlights
effectiveness
image
analysis
tasks,
especially
in
scenarios
limited
resources.
The FASEB Journal,
Journal Year:
2025,
Volume and Issue:
39(7)
Published: April 2, 2025
Breast
cancer
(BRCA)
is
among
the
most
prevalent
malignancies
in
women,
characterized
by
a
complex
tumor
microenvironment
significantly
influenced
cancer-associated
fibroblasts
(CAFs).
CAFs
contribute
to
progression
secreting
exosomes
that
can
modulate
cell
behavior.
This
study
highlights
how
CAF-derived
transmit
long
non-coding
RNA
(lncRNA)
LINC01711,
which
activates
TXN
through
miR-4510/NELFE
axis,
thereby
enhancing
glycolysis
BRCA
cells.
Utilizing
single-cell
sequencing
data
from
GEO
database,
employed
dimensionality
reduction,
clustering,
and
annotation
techniques
uncover
central
role
of
NELFE
BRCA.
Experimental
findings
revealed
LINC01711
highly
expressed
exosomes,
upregulate
via
promoting
glycolytic
pathway
subsequently
increasing
proliferation,
migration,
invasion
potential
These
results
shed
light
on
novel
molecular
mechanism
underlying
suggest
targets
for
therapeutic
intervention.