Critical Reviews in Oncology/Hematology,
Journal Year:
2025,
Volume and Issue:
unknown, P. 104682 - 104682
Published: March 1, 2025
Brain
tumors
refer
to
the
abnormal
growths
that
occur
within
brain's
tissue,
comprising
both
primary
neoplasms
and
metastatic
lesions.
Timely
detection,
precise
staging,
suitable
treatment,
standardized
management
are
of
significant
clinical
importance
for
extending
survival
rates
brain
tumor
patients.
Artificial
intelligence
(AI),
a
discipline
computer
science,
is
leveraging
its
robust
capacity
information
identification
combination
revolutionize
traditional
paradigms
oncology
care,
offering
substantial
potential
precision
medicine.
This
article
provides
an
overview
current
applications
AI
in
tumors,
encompassing
technologies,
their
working
mechanisms
workflow,
contributions
diagnosis
as
well
role
scientific
research,
particularly
drug
innovation
revealing
microenvironment.
Finally,
paper
addresses
existing
challenges,
solutions,
future
application
prospects.
review
aims
enhance
our
understanding
provide
valuable
insights
forthcoming
inquiries.
Therapeutic Delivery,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 29
Published: Oct. 24, 2024
Glioblastoma
multiforme
(GBM)
is
one
of
the
most
common
and
malignant
brain
tumors,
with
a
high
prevalence
in
elderly
population.
Most
chemotherapeutic
agents
fail
to
reach
tumor
site
due
various
challenges.
However,
smart
nanocarriers
have
demonstrated
excellent
drug-loading
capabilities,
enabling
them
cross
blood
barrier
for
GBM
treatment.
Surface
modification
has
significantly
enhanced
their
potential
targeting
therapeutics.
Moreover,
recent
innovations
drug
therapies,
such
as
incorporation
theranostic
antibody-drug
conjugates,
offered
newer
insights
both
diagnosis
This
review
focuses
on
advances
new
therapeutic
interventions
GBM,
an
emphasis
nanotheranostics
systems
maximize
diagnostic
outcomes.
Pharmaceutics,
Journal Year:
2025,
Volume and Issue:
17(2), P. 142 - 142
Published: Jan. 21, 2025
Glioblastoma’s
(GB)
complex
tumor
microenvironment
(TME)
promotes
its
progression
and
resistance
to
therapy.
A
critical
component
of
TME
is
the
extracellular
matrix
(ECM),
which
plays
a
pivotal
role
in
promoting
tumor’s
invasive
behavior
aggressiveness.
Nanotechnology
holds
significant
promise
for
GB
treatment,
with
potential
address
challenges
posed
by
both
blood-brain
barrier
ECM.
By
enabling
targeted
delivery
therapeutic
diagnostic
agents,
nanotechnology
offers
prospect
improving
treatment
efficacy
accuracy
at
site.
This
review
provides
comprehensive
exploration
GB,
including
epidemiology,
classification,
current
strategies,
alongside
intricacies
TME.
It
highlights
nanotechnology-based
focusing
on
nanoparticle
formulations
such
as
liposomes,
polymeric
nanoparticles,
gold
have
shown
Furthermore,
it
explores
how
different
emerging
strategies
modulate
ECM
overcome
high
density,
restricts
drug
distribution
within
tumors.
emphasizing
intersection
ECM,
this
underscores
an
innovative
approach
advancing
treatment.
addresses
limitations
therapies,
identifies
new
research
avenues,
emphasizes
improve
patient
outcomes.
Frontiers in Surgery,
Journal Year:
2025,
Volume and Issue:
12
Published: Feb. 3, 2025
Background
WHO
grade
II
oligodendroglioma
(OG/II)
is
a
rare
primary
brain
tumor
with
various
outcomes.
Our
study
aims
to
investigate
prognostic
factors
for
postoperative
OG/II
patients
and
then
evaluate
the
instructional
value
of
size.
Methods
We
retrospectively
studied
cases
from
Surveillance,
Epidemiology,
End
Results
(SEER)
database.
Univariate
multivariate
Cox
analyses
Kaplan-Meier
survival
curves
were
used
identify
assess
factors.
The
optimal
cut-off
size
was
determined
by
X-tile
analysis
verified
analyses.
Subsequently,
Subgroup
performed
based
on
Result
676
enrolled
in
our
study.
Multivariate
revealed
that
age
>
60
(HR
3.52),
male
1.48),
total
resection
0.38),
2.04)
independent
predicting
cancer-specific
(CCS).
mm.
Patients
less
than
mm,
3.82),
radiation
1.58)
associated
worse
CSS,
while
0.35)
better
CSS.
Lastly,
size-based
nomogram
established
objectively
accurately.
Conclusion
identified
four
crucial
related
CSS
patients:
age,
sex,
extent
recession,
A
mm
an
point
dividing
into
low
high-risk
groups.
low-risk
group
may
not
benefit
extended
radiation.
Tumor
can
be
valuable
factor
making
therapeutic
schedules.
Critical Reviews in Oncology/Hematology,
Journal Year:
2025,
Volume and Issue:
unknown, P. 104682 - 104682
Published: March 1, 2025
Brain
tumors
refer
to
the
abnormal
growths
that
occur
within
brain's
tissue,
comprising
both
primary
neoplasms
and
metastatic
lesions.
Timely
detection,
precise
staging,
suitable
treatment,
standardized
management
are
of
significant
clinical
importance
for
extending
survival
rates
brain
tumor
patients.
Artificial
intelligence
(AI),
a
discipline
computer
science,
is
leveraging
its
robust
capacity
information
identification
combination
revolutionize
traditional
paradigms
oncology
care,
offering
substantial
potential
precision
medicine.
This
article
provides
an
overview
current
applications
AI
in
tumors,
encompassing
technologies,
their
working
mechanisms
workflow,
contributions
diagnosis
as
well
role
scientific
research,
particularly
drug
innovation
revealing
microenvironment.
Finally,
paper
addresses
existing
challenges,
solutions,
future
application
prospects.
review
aims
enhance
our
understanding
provide
valuable
insights
forthcoming
inquiries.
