Frontiers in Pharmacology,
Год журнала:
2025,
Номер
16
Опубликована: Апрель 1, 2025
Colorectal
cancer
(CRC)
is
a
common
and
aggressive
malignancy
with
the
complex
varied
molecular
landscape.
Mitochondria
play
pivotal
role
in
metabolic
reprogramming
of
cells,
their
function
can
profoundly
influence
tumor
progression.
Therefore,
identifying
mitochondrial
genes
immune-related
features
may
offer
promising
new
approach
for
prognosis
CRC.
Mitochondrial-associated
were
retrieved
from
MITOCARTA
3.0
dataset.
The
LASSO
regression
method
was
applied
to
identify
prognostic
genes,
while
area
under
ROC
curve
nomograms
used
assess
robustness
model.
Single-sample
genomic
enrichment
analysis
(ssGSEA)
utilized
explore
relationship
between
model
immune
infiltration,
drug
sensitivity
conducted
potential
therapeutic
agents.
Cellular
assays
performed
validate
effectiveness
identified
drugs.
Key
including
SUCLG2,
ACACB,
OSBPL1A,
TRAP1,
have
been
as
significant
markers
expression
ACACB
OSBPL1A
progressively
increased,
SUCLG2
TRAP1
decreased
patients.
TCGA
dataset
showed
an
(AUC)
greater
than
0.6
1-,
2-,
3-year
survival
predictions,
demonstrating
strong
this
Additionally,
strongly
correlated
particularly
CD8
+
T
checkpoint
regulators.
Molecular
docking
revealed
that
binds
dabrafenib
at
glycine
position
747.
confirmed
effectively
inhibited
CRC
cell
migration
proliferation,
providing
avenue.
Our
findings
suggested
four
mitochondrial-related
study
provide
accurate
predictions
International Journal of Molecular Sciences,
Год журнала:
2025,
Номер
26(4), С. 1648 - 1648
Опубликована: Фев. 14, 2025
Colorectal
cancer
(CRC)
is
a
leading
cause
of
cancer-related
deaths
worldwide,
characterized
by
high
incidence
and
poor
survival
rates.
Glycosylation,
fundamental
post-translational
modification,
influences
protein
stability,
signaling,
tumor
progression,
with
aberrations
implicated
in
immune
evasion
metastasis.
This
study
investigates
the
role
glycosylation-related
genes
(Glycosylation-RGs)
CRC
using
machine
learning
bioinformatics.
Data
from
The
Cancer
Genome
Atlas
(TCGA)
Molecular
Signatures
Database
(MSigDB)
were
analyzed
to
identify
67
differentially
expressed
Glycosylation-RGs.
These
used
classify
patients
into
two
subgroups
distinct
outcomes,
highlighting
their
prognostic
value.
Weighted
gene
coexpression
network
analysis
(WGCNA)
revealed
key
modules
associated
traits,
including
pathways
like
glycan
biosynthesis
PI3K-Akt
signaling.
A
machine-learning-based
model
demonstrated
strong
predictive
performance,
stratifying
high-
low-risk
groups
significant
differences.
Additionally,
correlations
between
risk
scores
cell
infiltration,
providing
insights
microenvironment.
Drug
sensitivity
identified
potential
therapeutic
agents,
Trametinib,
SCH772984,
Oxaliplatin,
showing
differential
efficacy
groups.
findings
enhance
our
understanding
glycosylation
CRC,
identifying
it
as
critical
factor
disease
progression
promising
target
for
future
strategies.
Mitochondrial-encoded
circular
RNAs
(mecciRNAs)
are
a
newly
discovered
class
of
mitochondrial-encoded
non-coding
(mt-ncRNAs)
that
play
important
biological
roles
in
the
cell.
This
study
aimed
to
examine
expression
profile
SCAR/mc-COX2
(has_circ_0089762)
colorectal
cancer
(CRC)
and
its
relationship
with
clinicopathological
variables.
Furthermore,
better
understand
SCAR/mc-COX2's
functional
role
CRC,
we
constructed
competing
endogenous
RNA
(ceRNA)
network.
Quantitative
real-time
PCR
(qRT-PCR)
was
employed
analyze
levels
40
pairs
CRC
samples,
consisting
tumor
samples
adjacent
non-tumoral
from
patients.
The
ceRNA
regulatory
network
using
online
bioinformatics
tools.
Kyoto
Encyclopedia
Genes
Genomes
(KEGG)
pathway
analysis
Gene
Ontology
(GO)
enrichment
were
conducted
Enrichr
database.
results
demonstrated
significant
decrease
tissues
compared
(p-value<0.05).
In
another
finding,
observed
between
pathological
T
staging
status
(p-value=0.02).
Additionally,
Receiver
Operating
Characteristic
(ROC)
curve
revealed
had
an
area
under
(AUC)
0.77,
80%
sensitivity
75%
specificity.
Finally,
including
SCAR/mc-COX2,
5
miRNA,
9
mRNAs
found.
These
findings
suggest
may
act
as
suppressor
dysregulation
could
crucial
pathophysiology
this
cancer.
association
robust
diagnostic
performance
(AUC
=
80%,
specificity
75%)
highlight
potential
novel
biomarker
for
detection
prognosis.
Further
studies
required
elucidate
precise
tumorigenesis
clinical
applicability.
Frontiers in Pharmacology,
Год журнала:
2025,
Номер
16
Опубликована: Апрель 1, 2025
Colorectal
cancer
(CRC)
is
a
common
and
aggressive
malignancy
with
the
complex
varied
molecular
landscape.
Mitochondria
play
pivotal
role
in
metabolic
reprogramming
of
cells,
their
function
can
profoundly
influence
tumor
progression.
Therefore,
identifying
mitochondrial
genes
immune-related
features
may
offer
promising
new
approach
for
prognosis
CRC.
Mitochondrial-associated
were
retrieved
from
MITOCARTA
3.0
dataset.
The
LASSO
regression
method
was
applied
to
identify
prognostic
genes,
while
area
under
ROC
curve
nomograms
used
assess
robustness
model.
Single-sample
genomic
enrichment
analysis
(ssGSEA)
utilized
explore
relationship
between
model
immune
infiltration,
drug
sensitivity
conducted
potential
therapeutic
agents.
Cellular
assays
performed
validate
effectiveness
identified
drugs.
Key
including
SUCLG2,
ACACB,
OSBPL1A,
TRAP1,
have
been
as
significant
markers
expression
ACACB
OSBPL1A
progressively
increased,
SUCLG2
TRAP1
decreased
patients.
TCGA
dataset
showed
an
(AUC)
greater
than
0.6
1-,
2-,
3-year
survival
predictions,
demonstrating
strong
this
Additionally,
strongly
correlated
particularly
CD8
+
T
checkpoint
regulators.
Molecular
docking
revealed
that
binds
dabrafenib
at
glycine
position
747.
confirmed
effectively
inhibited
CRC
cell
migration
proliferation,
providing
avenue.
Our
findings
suggested
four
mitochondrial-related
study
provide
accurate
predictions
