Understanding the immunosuppressive microenvironment of glioma: mechanistic insights and clinical perspectives
Hao Lin,
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Chaxian Liu,
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An-Kang Hu
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et al.
Journal of Hematology & Oncology,
Journal Year:
2024,
Volume and Issue:
17(1)
Published: May 8, 2024
Abstract
Glioblastoma
(GBM),
the
predominant
and
primary
malignant
intracranial
tumor,
poses
a
formidable
challenge
due
to
its
immunosuppressive
microenvironment,
thereby
confounding
conventional
therapeutic
interventions.
Despite
established
treatment
regimen
comprising
surgical
intervention,
radiotherapy,
temozolomide
administration,
exploration
of
emerging
modalities
such
as
immunotherapy
integration
medicine
engineering
technology
therapy,
efficacy
these
approaches
remains
constrained,
resulting
in
suboptimal
prognostic
outcomes.
In
recent
years,
intensive
scrutiny
inhibitory
milieu
within
GBM
has
underscored
significance
cellular
constituents
microenvironment
their
interactions
with
cells
neurons.
Novel
immune
targeted
therapy
strategies
have
emerged,
offering
promising
avenues
for
advancing
treatment.
One
pivotal
mechanism
orchestrating
immunosuppression
involves
aggregation
myeloid-derived
suppressor
(MDSCs),
glioma-associated
macrophage/microglia
(GAM),
regulatory
T
(Tregs).
Among
these,
MDSCs,
though
constituting
minority
(4–8%)
CD45
+
GBM,
play
central
component
fostering
evasion
propelling
tumor
progression,
angiogenesis,
invasion,
metastasis.
MDSCs
deploy
intricate
mechanisms
that
adapt
dynamic
(TME).
Understanding
interplay
between
provides
compelling
basis
This
review
seeks
elucidate
inherent
explore
existing
targets,
consolidate
insights
into
MDSC
induction
contribution
immunosuppression.
Additionally,
comprehensively
surveys
ongoing
clinical
trials
potential
strategies,
envisioning
future
where
targeting
could
reshape
landscape
GBM.
Through
synergistic
other
modalities,
this
approach
can
establish
multidisciplinary,
multi-target
paradigm,
ultimately
improving
prognosis
quality
life
patients
Language: Английский
Hypoxia-induced complement component 3 promotes aggressive tumor growth in the glioblastoma microenvironment
JCI Insight,
Journal Year:
2024,
Volume and Issue:
9(19)
Published: Aug. 22, 2024
Glioblastoma
(GBM)
is
the
most
aggressive
form
of
glioma
with
a
high
rate
relapse
despite
intensive
treatment.
Tumor
recurrence
tightly
linked
to
radio-resistance,
which
in
turn
associated
hypoxia.
Here,
we
discovered
strong
link
between
hypoxia
and
local
complement
signaling
using
publicly
available
bulk,
single-cell,
spatially
resolved
transcriptomic
data
from
patients
GBM.
Complement
component
3
(C3)
receptor
C3AR1
were
both
disease
shorter
survival
human
glioma.
In
genetically
engineered
mouse
model
GBM,
found
C3
specifically
hypoxic
tumor
areas.
vitro,
an
oxygen
level-dependent
increase
expression
response
several
GBM
stromal
cell
types.
C3a
induced
M2
polarization
cultured
microglia
macrophages
C3aR-dependent
fashion.
Targeting
C3aR
antagonist
SB290157
prolonged
glioma-bearing
mice
alone
combination
radiotherapy
while
reducing
number
M2-polarized
macrophages.
Our
findings
establish
pathways
support
role
hypoxia-induced
C3a/C3aR
as
contributor
aggressiveness
by
regulating
macrophage
polarization.
Language: Английский
A novel role of exostosin glycosyltransferase 2 (EXT2) in glioblastoma cell metabolism, radiosensitivity and ferroptosis
Rocío Matesanz-Sánchez,
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Mirko Peitzsch,
No information about this author
Inga Lange
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et al.
Cell Death and Differentiation,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 15, 2025
Language: Английский
Roles of extracellular vesicles in glioblastoma: foes, friends and informers
Taral R. Lunavat,
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Lisa Nieland,
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Anne B. Vrijmoet
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et al.
Frontiers in Oncology,
Journal Year:
2023,
Volume and Issue:
13
Published: Nov. 24, 2023
Glioblastoma
(GB)
tumors
are
one
of
the
most
insidious
cancers
which
take
over
brain
and
defy
therapy.
Over
time
in
response
to
treatment
tumor
cells
microenvironment
(TME)
undergo
many
genetic/epigenetic
driven
changes
their
phenotypes
this
is
reflected
cellular
contents
within
extracellular
vesicles
(EVs)
they
produce.
With
result
that
some
EVs
try
subdue
(friends
brain),
while
others
participate
glioblastoma
takeover
(foes
brain)
a
dynamic
ever
changing
process.
Monitoring
these
biofluids
can
inform
decisions
based
on
GB
status
guide
therapeutic
intervention.
This
review
covers
primarily
recent
research
describing
different
cell
types
brain,
as
well
cells,
EV
deluge.
includes
produced
by
manipulate
transcriptome
normal
environment
support
growth
(foes),
responses
restrict
invasion,
including
traveling
cervical
lymph
nodes
present
neo-antigens
dendritic
(DCs).
In
addition
released
into
report
living
via
cargo
thus
serving
biomarkers.
However,
influence
major
factor
immune
suppression
coercion
join
“band
wagon”.
Efforts
being
made
deploy
vehicles
for
drugs
small
inhibitory
RNAs.
Increasing
knowledge
about
TME
utilized
track
progression
therapy
even
weaponize
fight
tumor.
Language: Английский
Hypoxia-induced Complement Component 3 Promotes Aggressive Tumor Growth in the Glioblastoma Microenvironment
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Jan. 29, 2024
Abstract
Glioblastoma
(GBM)
is
the
most
aggressive
form
of
glioma
with
a
high
rate
relapse
despite
intensive
treatment.
Tumor
recurrence
tightly
linked
to
radio-resistance,
which
in
turn
associated
hypoxia.
Here,
we
discovered
strong
link
between
hypoxia
and
local
complement
signaling
using
publicly
available
bulk,
single
cell,
spatially
resolved
transcriptomic
data
from
human
GBM
patients.
Complement
component
3
(
C3
)
receptor
C3AR1
were
both
disease
shorter
survival
glioma.
In
genetically
engineered
mouse
model
GBM,
found
specifically
hypoxic
tumor
areas.
vitro,
an
oxygen
level-dependent
increase
expression
response
several
stromal
cell
types.
Presence
increased
proliferation
cells
under
conditions,
as
well
clonal
following
radiation.
Targeting
C3aR
antagonist
SB290157
decreased
self-renewal
prolonged
bearing
mice
alone
combination
radiotherapy
while
reducing
number
M2-polarized
macrophages.
Our
findings
establish
pathways
support
role
hypoxia-induced
C3a-C3aR
contributor
aggressiveness.
Language: Английский
Proteomic profiling of IDH-wildtype Glioblastoma Tissue and Serum uncovers prognostic Subtypes and Marker Candidates
Tilman Werner,
No information about this author
Agnes Schäfer,
No information about this author
Michael Hennes
No information about this author
et al.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: March 4, 2024
Abstract
Background
IDH-wildtype
glioblastoma
(GBM)
is
the
most
prevalent
primary
brain
cancer
with
a
5-year
survival
rate
below
10%.
Despite
combined
treatment
through
extensive
resection
and
radiochemotherapy,
nine
out
of
ten
patients
develop
recurrences.
The
lack
targeted
options
reliable
diagnostic
markers
for
recurrent
tumors
remain
major
challenges.
Methods
&
Aims
In
this
study,
we
present
proteomic
characterization
tissue
serum
from
55
initial
GBM
five
matching
recurrences,
which
investigated
tumor
subtypes
signatures
associated
recurrence.
Results
Primary
revealed
four
distinct
subgroups
hierarchical
clustering:
neuronal
cluster
elevated
mature
neuron
markers,
an
innate
immunity
increased
protease
expression,
mixed
cluster,
stem-cell
cluster.
Neurodevelopmental
inflammatory
processes
were
identified
as
key
factors
influencing
clustering,
proteolytic
activity
increasing
relative
to
degree
inflammation.
An
analysis
comprising
proteins
lower
coverage
confirmed
expanded
pattern.
Patients
in
exhibited
significantly
longer
compared
those
patient-matched
differential
expression
analysis,
displayed
altered
protein
their
counterparts,
emphasizing
plasticity
tumors.
Investigation
proteomes
before
after
surgery,
using
depletion-based
protocol,
highly
patient-specific
stable
proteome
compositions,
despite
notable
increase
inflammation
post-surgery.
However,
levels
circulating
products
matched
within
one
fragment
proteolysis
activated
receptor
2
(PAR2)
consistently
dropped
abundance
removal
inflamed
Conclusion
Overall,
describe
large
cohort.
We
subgroups,
molecular
patterns
recurrence,
bloodstream,
may
improve
risk
prediction
GBM.
Language: Английский