Journal of Biosciences and Medicines,
Journal Year:
2023,
Volume and Issue:
11(08), P. 95 - 113
Published: Jan. 1, 2023
To
investigate
the
immunogenic
Cell
Death
gene’s
potential
mechanism
and
prognostic
value
in
glioblastoma.
Information
on
GBM
samples
from
The
Cancer
Genome
Atlas
database
was
downloaded,
ICD
genes
were
obtained,
genotyping,
integrated
bioinformatics
to
verify
of
finally,
model
construction.
Two
subtypes
associated
with
gene
obtained
by
consensus
clustering,
high
subtype
(risk)
group
poor
prognosis,
mutations
PTEN
gene,
stromal
score,
immune
score.
We
also
constructed
a
new
classification
system
for
based
characteristics.
This
study
is
first
use
cell
death
genotyping
successfully
build
model.
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 18, 2024
Abstract
Glioblastoma
(GBM)
patients
face
a
grim
prognosis,
with
many
treatments
failing
to
achieve
significant
improvements.
Recent
research
has
focused
on
the
immunosuppressive
environment
within
GBM
tumors.
One
particular
protein,
C-X-C
chemokine
ligand
5
(CXCL5),
is
highly
expressed
in
various
cancers
and
known
affect
immune
environment,
tumor
invasion,
metastasis,
overall
prognosis.
In
our
study,
we
investigated
role
of
CXCL5
GBM.
We
aimed
develop
CXCL5-associated
prognostic
signature
(IPS)
predict
patient
outcomes
identify
potential
targeting
CXCL5/CXCR2
axis.
Initially,
performed
enzyme-linked
immunosorbent
assays
(ELISA)
80
high-grade
glioma
samples
measure
levels.
also
analyzed
RNA-seq
data
from
169
obtained
TCGA
dataset,
dividing
them
into
high
(CXCL5_H)
low
(CXCL5_L)
expression
groups.
Our
analysis
revealed
that
CXCL5_H
group
had
higher
immune-related
genes
but
poorer
prognosis
compared
CXCL5_L
group.
Using
least
absolute
shrinkage
selection
operator
(LASSO)
Cox
analysis,
constructed
IPS,
which
confirmed
as
an
independent
factor
for
through
univariate
multivariate
analyses.
developed
nomogram
based
three-gene
IPS
survival
patients.
Moreover,
study
identified
axis
promising
target
treatment.
employed
computational
techniques
screen
inhibitors
this
validated
their
effectiveness
vitro.
conclusion,
provides
new
model
suggests
targeted
therapeutic
options
by
elucidating
tumor's
environment.
This
work
may
pave
way
improved
more
effective
challenging
cancer.
Research Square (Research Square),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Aug. 24, 2023
Abstract
Purpose
Regulatory
T
cells
(Tregs)
have
been
highlighted
as
prognostic
factors
in
isocitrate
dehydrogenase
(IDH)-wild-type
(wt)
glioblastoma
(GBM).
However,
conventional
detection
of
Tregs
with
immunohistochemistry
is
limited
for
practical
application
clinical
settings.
The
aim
this
study
was
to
construct
a
pathomics
model
predict
Treg
infiltration
IDH-wt
GBM
and
explore
the
related
biological
processes.
Methods
Using
Pyradiomics
package,
features
were
extracted
from
hematoxylin
eosin-stained
biopsy
images
patients
Cancer
Genome
Atlas.
proportion
confirmed
orthotopic
mouse
via
flow
cytometry.
constructed
using
gradient-boosting
machine-learning
approach,
score
(PS)
determined
minimal
redundancy-maximal
relevance
relief
algorithms.
Cox
proportional
hazard
regression
analysis
employed
access
association
between
PS
overall
survival
(OS).
Transcriptomic
data
analyzed
through
GSEA
set
enrichment,
differential
gene
expression,
correlation
analyses.
Results
positively
correlated
high
expression.
Patients
had
significantly
worse
than
did
those
low
PS.
A
independently
served
risk
factor
GBM.
Gene
enrichment
revealed
significant
associations
Notch
IL-6/JAK/STAT3
signaling
pathways.
also
elevated
RAD50
Conclusion
developed
based
on
algorithms
can
offer
an
alternative
non-invasive
method
prognosis
GBM,
further
suggesting
potential
targets
immunotherapy.
Journal of Biosciences and Medicines,
Journal Year:
2023,
Volume and Issue:
11(08), P. 95 - 113
Published: Jan. 1, 2023
To
investigate
the
immunogenic
Cell
Death
gene’s
potential
mechanism
and
prognostic
value
in
glioblastoma.
Information
on
GBM
samples
from
The
Cancer
Genome
Atlas
database
was
downloaded,
ICD
genes
were
obtained,
genotyping,
integrated
bioinformatics
to
verify
of
finally,
model
construction.
Two
subtypes
associated
with
gene
obtained
by
consensus
clustering,
high
subtype
(risk)
group
poor
prognosis,
mutations
PTEN
gene,
stromal
score,
immune
score.
We
also
constructed
a
new
classification
system
for
based
characteristics.
This
study
is
first
use
cell
death
genotyping
successfully
build
model.
