Research Square (Research Square),
Год журнала:
2023,
Номер
unknown
Опубликована: Сен. 27, 2023
Abstract
Background
α-Enolase
(ENO1)
is
a
crucial
molecular
target
for
tumor
therapy
and
has
emerged
as
research
hotspot
in
recent
decades.
Here,
we
aimed
to
explore
the
role
of
ENO1
bladder
cancer
(BLCA)
then
construct
signature
predict
prognosis
treatment
response
BLCA.
Methods
Differential
expression,
analysis
vitro
cell
experiments
were
used
reveal
value
The
R
package
"Seurat"
was
single-cell
RNA
sequence
(scRNA-seq)
data
processing.
“singleR”
cellMarker
website
annotate
cells.
FindAllMarkers
function
“limma”
screen
hub
genes.
Univariate
Cox
least
absolute
shrinkage
selection
operator
(LASSO)
analyses
signature.
Differences
between
high-
low-risk
groups
investigated.
Results
highly
expressed
BLCA
tissues,
verified
by
IHC,
associated
with
poor
prognosis.
immune
microenvironment
bulk
sequencing
scRNA-seq
showed
that
CD8
+
T-cell
exhaustion.
Additionally,
results
could
promote
proliferation
invasion
Then,
epithelial
cells
(ECs)
revealed
might
progression
metabolism,
cycle
some
carcinogenic
pathways.
A
total
249
genes
obtained
from
differentially
ENO1-related
ECs,
LASSO
novel
not
only
accurately
predicted
patients
but
also
Finally,
constructed
nomogram
better
guide
clinical
application.
Conclusion
Through
multiomics
analysis,
found
overexpressed
prognosis,
exhaustion
heterogeneity.
can
be
well
constructing
an
prognostic
Experimental and Therapeutic Medicine,
Год журнала:
2024,
Номер
27(4)
Опубликована: Фев. 5, 2024
Colorectal
cancer
(CRC)
is
one
of
the
most
prevailing
and
lethal
forms
globally.
α‑enolase
(ENO1)
has
been
well
documented
to
be
involved
in
progression
drug
resistance
CRC.
The
present
study
was
designed
specify
role
ENO1
major
events
during
process
CRC
introduce
its
latent
functional
mechanism.
expression
determined
by
western
blot
analysis.
Extracellular
acidification
rates
were
assessed
using
an
XF96
extracellular
flux
analyzer.
Glucose
uptake,
lactic
acid
production,
total
iron
levels
ferroptosis‑related
markers
examined
with
corresponding
kits.
A
dichlorodihydrofluorescein
diacetate
probe
measured
intracellular
reactive
oxygen
species
content.
Western
blotting
detected
glycolysis‑
proteins.
CCK‑8
EdU
staining
assays
cell
proliferation.
In
current
study,
highly
expressed
cells.
Knockdown
markedly
reduced
glycolysis
accelerated
ferroptosis
Moreover,
inhibitory
effects
WZB117,
a
specific
inhibitor
glycolysis‑related
glucose
transporter
type
1,
on
proliferation
further
enhanced
interference.
addition,
silencing
inactivated
AKT/STAT3
signaling.
AKT
activator
SC79
partially
reversed
deficiency
signaling,
glycolysis,
as
summary,
inactivation
signaling
mediated
inhibition
might
boost
suppress
Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Янв. 25, 2024
Abstract
α-Enolase
(
ENO1
)
is
a
crucial
molecular
target
for
tumor
therapy
and
has
emerged
as
research
hotspot
in
recent
decades.
Here,
we
aimed
to
explore
the
role
of
bladder
cancer
(BLCA)
then
construct
signature
predict
prognosis
treatment
response
BLCA.
Firstly,
found
was
highly
expressed
BLCA
tissues,
verified
by
IHC,
associated
with
poor
prognosis.
The
analysis
immune
microenvironment
bulk
RNA-seq
scRNA-seq
showed
that
CD8+
T-cell
exhaustion.
Additionally,
results
vitro
could
promote
proliferation
invasion
cells.
Then,
epithelial
cells
(ECs)
revealed
might
progression
metabolism,
cell
cycle
some
carcinogenic
pathways.
A
total
249
hub
genes
were
obtained
from
differentially
between
-related
ECs,
used
LASSO
novel
not
only
accurately
predicted
patients
but
also
Finally,
constructed
nomogram
better
guide
clinical
application.
In
conclusion,
through
multi-omics
analysis,
overexpressed
prognosis,
exhaustion
heterogeneity.
Moreover,
can
be
well
constructing
an
epithelial-related
prognostic
signature.
Molecular Medicine,
Год журнала:
2025,
Номер
31(1)
Опубликована: Апрель 22, 2025
Abstract
In
the
clinical
management
of
cancers,
emergence
chemoresistance
represents
a
profound
and
imperative
“pain
point”
that
requires
immediate
attention.
Understanding
mechanisms
is
essential
for
developing
effective
therapeutic
strategies.
Importantly,
existing
studies
have
demonstrated
glucose
metabolic
reprogramming,
commonly
referred
to
as
Warburg
effect
or
aerobic
glycolysis,
major
contributor
chemoresistance.
Additionally,
lactate,
byproduct
functions
signaling
molecule
supports
lysine
lactylation
modification
proteins,
which
also
plays
critical
role
in
However,
it
insufficient
discuss
glycolysis
from
single
perspective.
The
intricate
relationship
between
crucial
promoting
Thus,
thorough
elucidation
underlying
mediated
by
essential.
This
review
provides
comprehensive
overview
these
further
outlines
exert
synergistic
effects,
development
creating
positive
feedback
loop
continues
mediate
this
resistance.
close
link
suggests
application
glycolysis-related
drugs
inhibitors
cancer
therapy
may
represent
promising
anticancer
strategy.
Furthermore,
targeted
lactylation,
either
alone
combination
with
other
treatments,
offer
new
avenues
overcoming
Journal of Translational Medicine,
Год журнала:
2024,
Номер
22(1)
Опубликована: Ноя. 14, 2024
ENO1,
also
called
2-phospho-D-glycerate
hydrolase
in
cellular
glycolysis,
is
an
enzyme
that
converts
2-phosphoglycerate
to
phosphoenolpyruvate
and
plays
important
role
the
Warburg
effect.
In
various
tumors,
ENO1
overexpression
correlates
with
poor
prognosis.
a
multifunctional
oncoprotein
that,
when
located
on
cell
surface,
acts
as
"moonlighting
protein"
promote
tumor
invasion
metastasis.
When
intracellularly,
facilitates
glycolysis
dysregulate
energy
sustain
proliferation.
Additionally,
it
promotes
progression
by
activating
oncogenic
signaling
pathways.
biomarker
represents
promising
target
for
therapy.
This
review
summarizes
recent
advances
from
2020
2024
understanding
relationship
between
tumors
explores
latest
targeted
therapeutic
strategies
involving
ENO1.
Briefings in Bioinformatics,
Год журнала:
2024,
Номер
25(6)
Опубликована: Сен. 23, 2024
Abstract
Single-cell
RNA
sequencing
(scRNA-seq)
is
a
powerful
tool
for
elucidating
cellular
heterogeneity
and
tissue
function
in
various
biological
contexts.
However,
the
sparsity
scRNA-seq
data
limits
accuracy
of
cell
type
annotation
transcriptomic
analysis
due
to
information
loss.
To
address
this
limitation,
we
present
scRobust,
robust
self-supervised
learning
strategy
tackle
inherent
data.
Built
upon
Transformer
architecture,
scRobust
employs
novel
comprising
contrastive
gene
expression
prediction
tasks.
We
demonstrated
effectiveness
using
nine
benchmarks,
additional
dropout
scenarios,
combined
datasets.
outperformed
recent
methods
cell-type
tasks
generated
embeddings
that
capture
multi-faceted
clustering
(e.g.
types
HbA1c
levels).
In
addition,
were
useful
detecting
specific
marker
genes
related
drug
tolerance
stages.
Furthermore,
when
applied
scATAC-seq
data,
high-quality
embedding
vectors
generated.
These
results
demonstrate
representational
power
scRobust.
