Identification of a novel mitophagy-related signature for predicting clinical prognosis and immunotherapy of osteosarcoma
Abstract
Background
Osteosarcoma
(OS)
is
a
highly
aggressive
malignancy
characterized
by
poor
prognosis.
Mitochondrial
autophagy
(mitophagy)
has
been
implicated
in
tumor
initiation,
progression,
and
response
to
therapy,
highlighting
it
potential
prognostic
indicator
therapeutic
target
cancers.
Despite
this,
the
precise
mechanisms
underlying
mitophagy
osteosarcoma
remain
enigmatic.
This
research
aims
develop
mitophagy-associated
signature
guide
strategies
prognosis
estimations.
Methods
Clinical
transcriptome
data
for
patients
with
skeletal
muscle
tissue
were
retrieved
from
UCSC
Xena
GTEx.
Mitophagy-related
genes
(MRGs)
obtained
Kyoto
Encyclopedia
of
Genes
Genomes
(KEGG)
website.
A
predictive
risk
model
was
constructed
using
Least
Absolute
Shrinkage
Selection
Operator
(LASSO)
algorithm
Cox
regression
analysis.
To
delve
into
fundamental
gene
expression
mechanisms,
we
employed
Gene
Ontology
(GO),
KEGG,
Set
Enrichment
Analysis
(GSEA).
Moreover,
different
immune-related
activities
between
two
groups
investigated
ascertain
efficacy
immunotherapy.
Lastly,
functional
analysis
key
MRAS
carried
out
via
vitro
experiments
pan-cancer
small
molecule
drugs
that
may
screened
through
molecular
docking.
Results
Based
on
seven
mitophagy-related
signatures,
stratified
high-
low-risk
categories.
The
exhibited
strong
capability,
as
evidenced
Kaplan-Meier
analysis,
time-dependent
AUC,
Nomogram.
Notably,
compared
group,
individuals
high-risk
group
lower
stromal,
immune,
estimate
scores.The
infiltration
immune
cells
decreased.
Further
evidence
supporting
MRAS's
protective
role
against
shown
in
vitro ,
where
upregulating
its
could
suppress
proliferation,
migration,
invasion
while
stimulating
their
apoptosis.
Pan-cancer
further
demonstrated
variety
tumors.
Conclusion
study
identified
elucidated
impact
cells.
Consequently,
opened
up
fresh
avenues
clinical
prediction
established
basis
precision
therapy
osteosarcoma.
Research Square (Research Square), Год журнала: 2024, Номер unknown
Опубликована: Май 2, 2024
Язык: Английский