Neuro-Oncology Advances,
Journal Year:
2025,
Volume and Issue:
7(1)
Published: Jan. 1, 2025
Abstract
Background
Glioblastoma
(GB)
is
one
of
the
most
lethal
solid
tumors
in
humans,
with
an
average
patient
life
expectancy
15
months
and
a
5-year
survival
rate
5%–10%.
GB
still
uncurable
due
to
tumor
heterogeneity
invasive
nature
as
well
therapy-resistant
cancer
cells.
Centralized
biobanks
clinical
data
corresponding
biological
material
patients
facilitate
development
new
treatment
approaches
search
for
clinically
relevant
biomarkers,
goal
improving
outcomes
patients.
The
aim
this
study
was
firstly
establish
Slovenian
translation
platform,
GlioBank,
secondly
demonstrate
its
utility
through
identification
molecular
signatures
associated
progression
survival.
Methods
GlioBank
contains
tissue
samples
models
from
diagnosed
glioma,
focus
on
GB.
Primary
cells,
glioblastoma
stem
cells
(GSCs),
organoids
have
been
established
fresh
biopsies.
We
performed
expression
analyses
genes
bioinformatics
available
research
obtained
subset
91
qPCR
determine
therapy
resistance
cell
invasion,
including
markers
different
subtypes,
GSCs,
epithelial-to-mesenchymal
transition,
immunomodulation/chemokine
signaling
tissues
cellular
models.
Results
research,
collected
SciNote
electronic
laboratory
notebook.
To
date,
more
than
240
glioma
stored
which
are
(205)
were
further
processed
primary
(n
=
64),
GSCs
14),
17).
Corresponding
blood
plasma
103)
peripheral
mononuclear
101)
also
stored.
classified
into
4
subtypes
that
differed
regarding
survival;
mixed
subtype
exhibited
longest
High
DAB2,
S100A4,
STAT3
poor
overall
survival,
DAB2
found
be
independent
prognostic
marker
analyzed
between
regions
(core
vs.
rim).
STMN4,
ERBB3,
ACSBG1
upregulated
rim,
suggesting
these
Conclusions
centralized
biobank
has
built
by
multidisciplinary
network
facilitating
disease-oriented
basic
research.
advantages
include
characterization
based
targeted
gene
expression,
availability
diverse
(eg,
organoids),
large
number
patient-matched
core
rim
samples,
all
accompanying
data.
report
here
first
time
association
low
patients,
indicative
value
DAB2.
Cancers,
Journal Year:
2022,
Volume and Issue:
14(23), P. 5918 - 5918
Published: Nov. 30, 2022
Glioblastoma
(GBM)
is
one
of
the
most
aggressive
cancers,
comprising
60-70%
all
gliomas.
The
large
G-protein-coupled
receptor
family
includes
cannabinoid
receptors
CB1,
CB2,
GPR55,
and
non-specific
ion
protein
transporters
TRPs.
First,
we
found
up-regulated
CNR1,
TRPV1
expression
in
glioma
patient-derived
tissue
samples
cell
lines
compared
with
non-malignant
brain
samples.
CNR1
GPR55
did
not
correlate
grade,
whereas
negatively
correlated
grade
positively
longer
overall
survival.
This
suggests
a
tumour-suppressor
role
TRPV1.
With
respect
to
markers
GBM
stem
cells,
preferred
targets
therapy,
but
strongly
different
sets
stemness
gene
markers:
NOTCH,
OLIG2,
CD9,
TRIM28,
TUFM
CD15,
SOX2,
OCT4,
ID1,
respectively.
line
higher
genes
GSCs
differentiated
cells.
Second,
panel
GSCs,
that
CBG
CBD
exhibited
highest
cytotoxicity
at
molar
ratio
3:1.
We
suggest
this
mixture
should
be
tested
experimental
animals
clinical
studies,
which
currently
used
Δ9-tetrahydrocannabinol
(THC)
replaced
efficient
non-psychoactive
adjuvant
standard-of-care
therapy.
Frontiers in Chemistry,
Journal Year:
2024,
Volume and Issue:
11
Published: Jan. 8, 2024
Glioblastoma
multiforme
(GBM)
is
a
highly
aggressive
malignant
primary
tumor
in
the
central
nervous
system.
Despite
extensive
efforts
radiotherapy,
chemotherapy,
and
neurosurgery,
there
remains
an
inadequate
level
of
improvement
treatment
outcomes.
The
development
large-scale
genomic
proteomic
analysis
suggests
that
GBMs
are
characterized
by
transcriptional
heterogeneity,
which
responsible
for
therapy
resistance.
Hence,
knowledge
about
genetic
epigenetic
heterogeneity
GBM
crucial
developing
effective
treatments
this
form
brain
cancer.
Tyrosine
kinases
(TKs)
can
act
as
signal
transducers,
regulate
important
cellular
processes
like
differentiation,
proliferation,
apoptosis
metabolism.
Therefore,
TK
inhibitors
(TKIs)
have
been
developed
to
specifically
target
these
kinases.
TKIs
categorized
into
allosteric
non-allosteric
inhibitors.
Irreversible
covalent
bonds,
lead
longer-lasting
effects.
However,
also
increase
risk
off-target
effects
toxicity.
therapeutics
through
computer-aided
drug
design
(CADD)
bioinformatic
techniques
enhance
potential
improve
patients’
survival
rates.
continued
exploration
targets
expected
even
more
specific
future.
Journal of Clinical Investigation,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 7, 2025
Tumor-initiating
cells
(TICs)
play
a
key
role
in
cancer
progression
and
immune
escape.
However,
how
TICs
evade
elimination
remains
poorly
characterized.
Combining
single-cell
RNA
sequencing
(scRNA-seq),
dual-recombinase-based
lineage
tracing,
other
approaches,
we
identified
WNT-activated
subpopulation
of
malignant
that
act
as
vivo.
We
found
intensive
reciprocal
interactions
between
regulatory
tumor-associated
macrophages
(Reg-TAMs)
via
GAS6-AXL/MERTK
signaling
pathways,
which
facilitated
the
escape
TICs.
Our
study
employed
chemical
inhibitors
Axl/Mertk
conditional
double
knockout
mice
to
demonstrate
inhibiting
interaction
TIC-derived
GAS6
AXL/MERTK
Reg-TAMs
reactivated
anti-tumor
responses.
CCL8
critical
mediator
GAS6/AXL/MERTK
pathway,
primarily
by
T
cell
(Treg)
infiltration
into
tumor.
Furthermore,
blockade
sensitized
tumor
anti-PD-1
treatment.
Thus,
elucidated
detailed
mechanism
immunity,
providing
insights
strategies
eradicate
conventional
immunotherapy.
Neuro-Oncology Advances,
Journal Year:
2025,
Volume and Issue:
7(1)
Published: Jan. 1, 2025
Abstract
Background
Glioblastoma
(GB)
is
one
of
the
most
lethal
solid
tumors
in
humans,
with
an
average
patient
life
expectancy
15
months
and
a
5-year
survival
rate
5%–10%.
GB
still
uncurable
due
to
tumor
heterogeneity
invasive
nature
as
well
therapy-resistant
cancer
cells.
Centralized
biobanks
clinical
data
corresponding
biological
material
patients
facilitate
development
new
treatment
approaches
search
for
clinically
relevant
biomarkers,
goal
improving
outcomes
patients.
The
aim
this
study
was
firstly
establish
Slovenian
translation
platform,
GlioBank,
secondly
demonstrate
its
utility
through
identification
molecular
signatures
associated
progression
survival.
Methods
GlioBank
contains
tissue
samples
models
from
diagnosed
glioma,
focus
on
GB.
Primary
cells,
glioblastoma
stem
cells
(GSCs),
organoids
have
been
established
fresh
biopsies.
We
performed
expression
analyses
genes
bioinformatics
available
research
obtained
subset
91
qPCR
determine
therapy
resistance
cell
invasion,
including
markers
different
subtypes,
GSCs,
epithelial-to-mesenchymal
transition,
immunomodulation/chemokine
signaling
tissues
cellular
models.
Results
research,
collected
SciNote
electronic
laboratory
notebook.
To
date,
more
than
240
glioma
stored
which
are
(205)
were
further
processed
primary
(n
=
64),
GSCs
14),
17).
Corresponding
blood
plasma
103)
peripheral
mononuclear
101)
also
stored.
classified
into
4
subtypes
that
differed
regarding
survival;
mixed
subtype
exhibited
longest
High
DAB2,
S100A4,
STAT3
poor
overall
survival,
DAB2
found
be
independent
prognostic
marker
analyzed
between
regions
(core
vs.
rim).
STMN4,
ERBB3,
ACSBG1
upregulated
rim,
suggesting
these
Conclusions
centralized
biobank
has
built
by
multidisciplinary
network
facilitating
disease-oriented
basic
research.
advantages
include
characterization
based
targeted
gene
expression,
availability
diverse
(eg,
organoids),
large
number
patient-matched
core
rim
samples,
all
accompanying
data.
report
here
first
time
association
low
patients,
indicative
value
DAB2.