Theranostics,
Journal Year:
2020,
Volume and Issue:
10(19), P. 8633 - 8647
Published: Jan. 1, 2020
Rationale:
The
prognosis
of
gastric
cancer
(GC)
patients
is
poor,
and
there
limited
therapeutic
efficacy
due
to
genetic
heterogeneity
difficulty
in
early-stage
screening.
Here,
we
developed
validated
an
individualized
gene
set-based
prognostic
signature
for
(GPSGC)
further
explored
survival-related
regulatory
mechanisms
as
well
targets
GC.
Methods:
By
implementing
machine
learning,
a
model
was
established
based
on
expression
datasets
from
1699
five
independent
cohorts
with
reported
full
clinical
annotations.
Analysis
the
tumor
microenvironment,
including
stromal
immune
subcomponents,
cell
types,
panimmune
sets,
immunomodulatory
genes,
carried
out
834
GC
three
explore
survival
related
GPSGC.
To
prove
stability
reliability
GPSGC
targets,
multiplex
fluorescent
immunohistochemistry
conducted
tissue
microarrays
representing
186
patients.
Based
multivariate
Cox
analysis,
nomogram
that
integrated
other
risk
factors
constructed
two
training
verified
by
validation
cohorts.
Results:
Through
obtained
optimal
assessment
model,
GPSGC,
which
showed
higher
accuracy
predicting
than
individual
factors.
impact
score
poor
probably
correlated
remodeling
components
microenvironment.
Specifically,
TGFβ
angiogenesis-related
sets
were
significantly
associated
outcome.
Immunomodulatory
analysis
combined
experimental
verification
revealed
TGFβ1
VEGFB
may
be
potential
according
Furthermore,
variables
predict
3-year
5-year
overall
patients,
improved
characteristics
only.
Conclusion:
As
microenvironment-relevant
signature,
provides
effective
approach
evaluate
patient
outcomes
prolong
enabling
selection
targeted
therapy.
Frontiers in Pharmacology,
Journal Year:
2021,
Volume and Issue:
12
Published: May 7, 2021
Proteolysis
targeting
chimeric
(PROTAC)
technology
is
an
effective
endogenous
protein
degradation
tool
developed
in
recent
years
that
can
ubiquitinate
the
target
proteins
through
ubiquitin-proteasome
system
(UPS)
to
achieve
effect
on
tumor
growth.
A
number
of
literature
studies
PROTAC
have
proved
insight
into
feasibility
degrade
proteins.
Additionally,
first
oral
PROTACs
(ARV-110
and
ARV-471)
shown
encouraging
results
clinical
trials
for
prostate
breast
cancer
treatment,
which
inspires
a
greater
enthusiasm
research.
Here
we
focus
structures
mechanisms
describe
several
classes
degraders
based
E3
ligases.
Molecular Cancer,
Journal Year:
2019,
Volume and Issue:
18(1)
Published: Dec. 1, 2019
The
majority
of
breast
cancer
patients
die
metastasis
rather
than
primary
tumors,
whereas
the
molecular
mechanisms
orchestrating
remains
poorly
understood.
Long
noncoding
RNAs
(lncRNA)
have
been
shown
to
regulate
occurrence
and
progression.
However,
lncRNAs
that
drive
in
their
underlying
are
still
largely
unknown.lncRNAs
highly
expressed
metastatic
lymph
nodes
were
identified
by
microarray.
Survival
analysis
made
Kaplan-Meier
method.
Cell
proliferation,
migration,
invasion
assay
was
performed
confirm
phenotype
LINC02273.
Tail
vein
model
mammary
fat
pad
used
for
vivo
study.
RNA
pull-down
RIP
interaction
hnRNPL
Chromatin
isolation
purification
followed
sequencing
(ChIRP-seq),
RNA-seq,
ChIP-seq,
luciferase
reporter
reveal
hnRNPL-LINC02273
regulates
AGR2.
Antisense
oligonucleotides
treatment.We
a
novel
long
LINC02273,
whose
expression
significantly
elevated
lesions
compared
genetic
screen
matched
tumor
samples.
Increased
LINC02273
promoted
vitro
vivo.
We
further
showed
stabilized
hnRNPL,
protein
increased
lesions,
cells.
Mechanistically,
formed
complex
which
activated
AGR2
transcription
metastasis.
recruitment
promoter
region
epigenetically
upregulated
augmenting
local
H3K4me3
H3K27ac
levels.
Combination
an
independent
prognostic
factor
predicting
patient
survival.
Moreover,
our
data
revealed
LINC02273-targeting
antisense
(ASO)
substantially
inhibited
vivo.Our
findings
uncover
key
role
LINC02273-hnRNPL-AGR2
axis
provide
potential
therapeutic
targets
intervention.
Journal of Oncology,
Journal Year:
2021,
Volume and Issue:
2021, P. 1 - 16
Published: Nov. 8, 2021
In
the
face
of
poor
prognosis
and
immunotherapy
failure
gastric
cancer
(GC),
this
project
tried
to
find
new
potential
biomarkers
for
predicting
precision
medication
ameliorate
situation.
To
form
synthetic
matrices,
we
retrieved
stomach
adenocarcinoma
transcriptome
data
from
Genotype-Tissue
Expression
Project
(GTEx)
The
Cancer
Genome
Atlas
(TCGA).
Necroptosis-related
prognostic
lncRNA
was
identified
by
coexpression
analysis
univariate
Cox
regression.
Then
performed
least
absolute
shrinkage
selection
operator
(LASSO)
construct
necroptosis-related
model.
Next,
Kaplan-Meier
analysis,
time-dependent
receiver
operating
characteristics
(ROC),
(uni-Cox)
regression,
multivariate
(multi-Cox)
nomogram,
calibration
curves
were
made
verify
evaluate
Gene
set
enrichment
analyses
(GSEA),
principal
component
(PCA),
immune
prediction
half-maximal
inhibitory
concentration
(IC50)
in
risk
groups
also
analyzed.
For
further
discussing
between
cold
hot
tumors,
divided
entire
into
two
clusters
based
on
lncRNAs.
We
constructed
a
model
with
16
model,
found
plots
showed
good
concordance
prediction.
area's
1-,
2-,
3-year
OS
under
ROC
curve
(AUC)
0.726,
0.763,
0.770,
respectively.
Risk
could
be
guide
systemic
treatment
because
significantly
different
IC50
groups.
Above
all,
help
distinguish
tumors
effectively
contribute
precise
mediation.
Cluster
2
as
tumor
more
susceptible
immunotherapeutic
drugs.
results
supported
that
lncRNAs
predict
make
distinction
improving
individual
therapy
GC.
Journal of Experimental & Clinical Cancer Research,
Journal Year:
2021,
Volume and Issue:
40(1)
Published: Sept. 20, 2021
Long
non-coding
RNA
(LncRNA)
controls
cell
proliferation
and
plays
a
significant
role
in
the
initiation
progression
of
esophageal
squamous
carcinoma
(ESCC).
N6-methyladenosine
(m6A)
modification
now
is
recognized
as
master
driver
function
to
maintain
homeostasis
cancer
cells.
However,
how
m6A
regulates
LncRNA
its
tumorigenesis
ESCC
remain
unclear.Multiple
datasets
were
used
analyze
gene
expression
tumor
tissues
normal
tissues.
Kaplan-Meier
method
ROC
curve
conducted
evaluate
prognostic
value
diagnostic
LINC00022
ESCC,
respectively.
Both
gain-of-function
loss-of-function
experiments
employed
investigate
effects
on
growth
vitro
vivo.
Bioinformatics
analysis,
colorimetric
assay,
RIP,
MeRIP
co-IP
was
performed
explore
epigenetic
mechanism
up-regulation
ESCC.Here
we
report
that
demethylation
by
fat
mass
obesity-associated
protein
(FTO)
promotes
Clinically,
revealed
up-regulated
primary
samples
predictive
poor
clinical
outcome
for
patients.
Mechanistically,
directly
binds
p21
ubiquitination-mediated
degradation,
thereby
facilitating
cell-cycle
proliferation.
Further,
elevated
FTO
decreased
methylation
transcript,
leading
inhibition
decay
via
reader
YTHDF2.
Over-expression
shown
drive
LINC00022-dependent
ESCC.Thus,
this
study
demonstrated
m6A-mediated
contributes
LINC00022,
specific
target
m6A,
serves
potential
biomarker
malignancy.
Molecular Therapy — Oncolytics,
Journal Year:
2021,
Volume and Issue:
23, P. 458 - 476
Published: Nov. 11, 2021
Gastric
cancer
(GC)
is
one
of
the
most
prevalent
malignant
tumor
types
and
third
leading
cause
cancer-related
death
worldwide.
Its
morbidity
mortality
are
very
high
due
to
a
lack
understanding
about
its
pathogenesis
slow
development
novel
therapeutic
strategies.
Long
non-coding
RNAs
(lncRNAs)
class
with
length
more
than
200
nt.
They
play
crucial
roles
in
wide
spectrum
physiological
pathological
processes
by
regulating
expression
genes
involved
proliferation,
differentiation,
apoptosis,
cell
cycle,
invasion,
metastasis,
DNA
damage,
carcinogenesis.
The
aberrant
lncRNAs
has
been
found
various
types.
A
growing
amount
evidence
demonstrates
that
many
aspects
GC
pathogenesis,
including
occurrence,
recurrence,
indicating
their
potential
role
as
biomarkers
diagnosis,
prognosis,
targets
GC.
This
review
systematically
summarizes
biogenesis,
biological
properties,
functions
highlights
critical
clinical
significance
information
may
contribute
better
diagnostics
treatments
for
Frontiers in Oncology,
Journal Year:
2022,
Volume and Issue:
12
Published: Aug. 17, 2022
Cancer
is
one
of
the
most
frequently
diagnosed
malignant
diseases
worldwide,
posing
a
serious,
long-term
threat
to
patients’
health
and
life.
Systemic
chemotherapy
remains
first-line
therapeutic
approach
for
recurrent
or
metastatic
cancer
patients
after
surgery,
with
potential
effectively
extend
patient
survival.
However,
development
drug
resistance
seriously
limits
clinical
efficiency
ultimately
results
in
treatment
failure
death.
A
large
number
studies
have
shown
that
non-coding
RNAs
(ncRNAs),
particularly
microRNAs,
long
RNAs,
circular
are
widely
involved
regulation
resistance.
Their
dysregulation
contributes
by
modulating
expression
specific
target
genes
cellular
apoptosis,
autophagy,
efflux,
epithelial-to-mesenchymal
transition
(EMT),
stem
cells
(CSCs).
Moreover,
some
ncRNAs
also
possess
great
as
efficient,
biomarkers
diagnosis
prognosis
well
targets
patients.
In
this
review,
we
summarize
recent
findings
on
emerging
role
underlying
mechanisms
focus
their
applications
treatment.
This
information
will
be
benefit
early
prognostic
assessments
ncRNA-based
strategies
Nature Communications,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: Feb. 23, 2024
Gastric
cancer
(GC)
represents
a
significant
burden
of
cancer-related
mortality
worldwide,
underscoring
an
urgent
need
for
the
development
early
detection
strategies
and
precise
postoperative
interventions.
However,
identification
non-invasive
biomarkers
diagnosis
patient
risk
stratification
remains
underexplored.
Here,
we
conduct
targeted
metabolomics
analysis
702
plasma
samples
from
multi-center
participants
to
elucidate
GC
metabolic
reprogramming.
Our
machine
learning
reveals
10-metabolite
diagnostic
model,
which
is
validated
in
external
test
set
with
sensitivity
0.905,
outperforming
conventional
methods
leveraging
protein
markers
(sensitivity
<
0.40).
Additionally,
our
learning-derived
prognostic
model
demonstrates
superior
performance
traditional
models
utilizing
clinical
parameters
effectively
stratifies
patients
into
different
groups
guide
precision
Collectively,
findings
reveal
landscape
identify
two
distinct
biomarker
panels
that
enable
prognosis
prediction
respectively,
thus
facilitating
medicine
GC.
Advanced Science,
Journal Year:
2024,
Volume and Issue:
11(12)
Published: Jan. 17, 2024
Abstract
For
tumor
treatment,
the
ultimate
goal
in
therapy
is
to
eliminate
primary
tumor,
manage
potential
metastases,
and
trigger
an
antitumor
immune
response,
resulting
complete
clearance
of
all
malignant
cells.
Tumor
microenvironment
(TME)
refers
local
biological
environment
solid
tumors
has
increasingly
become
attractive
target
for
cancer
therapy.
Neutrophils
within
TME
gastric
(GC)
spontaneously
undergo
ferroptosis,
this
process
releases
oxidized
lipids
that
limit
T
cell
activity.
Enhanced
photodynamic
(PDT)
mediated
by
di‐iodinated
IR780
(Icy7)
significantly
increases
production
reactive
oxygen
species
(ROS).
Meanwhile,
neutrophil
ferroptosis
can
be
triggered
increased
ROS
generation
TME.
In
study,
a
liposome
encapsulating
both
inhibitor
Liproxstatin‐1
modified
photosensitizer
Icy7,
denoted
LLI,
inhibits
growth
GC.
LLI
internalizes
into
MFC
cells
generate
causing
immunogenic
death
(ICD).
Simultaneously,
liposome‐deliver
effectively
neutrophils.
LLI‐based
PDT
neutrophil‐targeting
immunotherapy
synergistically
boost
anti‐PD‐1
treatment
elicit
potent
systemic
response
with
abscopal
effects.
conclusion,
holds
great
GC
immunotherapy.
Biochemistry,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 10, 2025
Proteolysis-targeting
chimeras
(PROTACs)
represent
a
transformative
advancement
in
drug
discovery,
offering
method
to
degrade
specific
intracellular
proteins.
Unlike
traditional
inhibitors,
PROTACs
are
bifunctional
molecules
that
target
proteins
for
elimination,
enabling
the
potential
treatment
of
previously
"undruggable"
This
concept,
pioneered
by
Crews
and
his
team,
introduced
use
small
link
protein
an
E3
ubiquitin
ligase,
inducing
ubiquitination
subsequent
degradation
protein.
By
promoting
rather
than
merely
inhibiting
function,
present
novel
therapeutic
strategy
with
enhanced
specificity
effectiveness,
especially
areas
such
as
cancer
neurodegenerative
diseases.
Since
their
initial
field
PROTAC
research
has
rapidly
expanded
numerous
now
designed
wide
range
disease-relevant
The
substantial
research,
investment,
collaboration
across
academia
pharmaceutical
industry
reflect
growing
interest
PROTACs.
Review
discusses
journey
from
discovery
clinical
trials,
highlighting
advancements
challenges.
Additionally,
recent
developments
fluorescent
photogenic
PROTACs,
used
real-time
tracking
degradation,
presented,
showcasing
evolving
targeted
therapy.