Technology in Cancer Research & Treatment,
Год журнала:
2024,
Номер
23
Опубликована: Янв. 1, 2024
Gastric
cancer
(GC)
is
a
prevalent
malignant
tumor
and
ranks
as
the
second
leading
cause
of
death
among
patients
worldwide.
Due
to
its
hidden
nature
difficulty
in
detection,
GC
has
high
incidence
poor
prognosis.
Traditional
treatment
methods
such
systemic
chemotherapy,
radiotherapy,
surgical
resection
are
commonly
used,
but
they
often
fail
achieve
satisfactory
curative
effects,
resulting
very
low
5-year
survival
rate
for
patients.
Currently,
targeted
therapy
immunotherapy
prominent
areas
research
both
domestically
internationally.
These
hold
promise
GC.
This
article
focuses
on
signaling
pathways
associated
with
development
GC,
well
recent
advancements
applications
immunotherapy.
The
aim
provide
fresh
insights
clinical
Abstract
Background
Our
previous
studies
have
indicated
that
mRNA
and
protein
levels
of
PPIH
are
significantly
upregulated
in
Hepatocellular
Carcinoma
(LIHC)
could
act
as
predictive
biomarkers
for
patients
with
LIHC.
Nonetheless,
the
expression
implications
etiology
progression
common
solid
tumors
yet
to
be
explored,
including
its
potential
a
serum
tumor
marker.
Methods
We
employed
bioinformatics
analyses,
augmented
clinical
sample
evaluations,
investigate
gene
regulation
networks
various
tumors.
also
assessed
association
between
overall
survival
(OS)
cancer
using
Kaplan-Meier
analysis
TCGA
database
information.
Furthermore,
we
evaluated
feasibility
diagnostic
efficacy
marker
by
integrating
serological
established
markers.
Results
Through
pan-cancer
analysis,
found
multiple
were
different
from
those
normal
tissues.
This
study
is
first
report
markedly
elevated
LIHC,
Colon
adenocarcinoma
(COAD),
Breast
(BC),
associated
worse
prognosis
these
patients.
Conversely,
decreased
(LIHC,
COAD,
BC,
gastric
cancer),
when
combined
traditional
markers,
offer
enhanced
sensitivity
specificity
diagnosis.
Conclusion
findings
propose
may
serve
valuable
biomarker
patients,
secreted
marker,
providing
insights
into
role
development
progression.
World Journal of Gastroenterology,
Год журнала:
2024,
Номер
30(8), С. 779 - 793
Опубликована: Фев. 26, 2024
In
this
editorial,
we
comment
on
the
article
entitled
"Advances
and
key
focus
areas
in
gastric
cancer
immunotherapy:
A
comprehensive
scientometric
clinical
trial
review
(1999-2023),"
which
was
published
recent
issue
of
Cell Biology and Toxicology,
Год журнала:
2024,
Номер
40(1)
Опубликована: Ноя. 20, 2024
Gastric
cancer
(GC)
is
the
fifth
most
common
worldwide,
particularly
prevalent
in
Asia,
especially
China,
where
both
its
incidence
and
mortality
rates
are
significantly
high.
Meanwhile,
nanotechnology
has
demonstrated
great
potential
treatment
of
GC.
In
particular,
nanodrug
delivery
systems
have
improved
therapeutic
efficacy
targeting
through
various
functional
modifications,
such
as
peptides,
tumor
microenvironment
responsiveness,
instrument-based
methods.
For
instance,
silica
(SiO2)
excellent
biocompatibility
can
be
used
a
drug
carrier,
with
porous
structure
enhancing
loading
capacity.
Polymer
nanoparticles
regulate
release
mechanisms
by
altering
material
composition
preparation
Lipid
efficiently
encapsulate
hydrophilic
drugs
promote
cellular
uptake,
while
carbon-based
biosensors
delivery.
Targets
integrins,
HER2
receptors,
been
to
improve
GC
treatment.
Nanodrug
techniques
not
only
enhance
capabilities
but
also
selectively
target
cells.
Currently,
there
lack
systematic
summarization
synthesis
regarding
relationship
between
treatment,
which
some
extent
hinders
researchers
clinicians
from
searching
for
referencing
related
studies,
thereby
reducing
work
efficiency.
This
study
aims
systematically
summarize
existing
research
on
making
it
easier
professionals
search
reference,
promoting
further
role
their
clinical
applications
review
discusses
functionalized
nanocarriers
recent
years,
including
surface
modifications
targeted
markers,
combination
phototherapy,
chemotherapy,
immunotherapy,
along
advantages
challenges.
It
examines
future
prospects
nanomaterials
The
focuses
combined
application
multiple
modalities,
demonstrating
multimodal
treatments.
Furthermore,
thoroughly
explores
specific
challenges
that
face
biocompatibility,
control,
translation
issues,
providing
outlook
developments.
Additionally,
this
emphasizes
value
feasibility
applications,
contrasting
reviews
focus
basic
research.
Through
these
innovations,
we
offer
new
perspectives
directions
development
Frontiers in Cellular and Infection Microbiology,
Год журнала:
2025,
Номер
14
Опубликована: Янв. 7, 2025
Prior
studies
have
established
correlations
between
gut
microbiota
(GM)
dysbiosis,
circulating
metabolite
alterations,
and
gastric
cancer
(GC)
risk.
However,
the
causal
nature
of
these
associations
remains
uncertain.
We
utilized
summary
data
from
genome-wide
association
(GWAS)
on
GM
(European,
n=8,956),
blood
metabolites
n=120,241;
East
Asian,
n=4,435),
GC
n=476,116;
n=167,122)
to
perform
a
bidirectional
Mendelian
randomization
(MR)
analysis,
investigating
effects
Additionally,
we
conducted
mediation
analysis
(two-step
MR)
identify
potential
mediators
in
GM-GC
relationship.
identified
twelve
negative
seven
positive
specific
taxa
For
metabolites,
traits
were
found
be
significantly
associated
with
reduced
risk
European
population,
findings
subsequently
validated
Asian
cohort.
Three
showed
five
metabolic
traits:
Bacteroidia
class
Bacteroidales
order
positively
correlated
(all
P
<
0.013),
while
Bacteroides
OTU97_27
exhibited
correlation
one
(P
=
0.007).
Two-step
MR
indicated
that
total
lipids
intermediate-density
lipoprotein
(IDL),
IDL
particle
concentration,
phospholipids
medium
low-density
(LDL),
small
LDL,
free
cholesterol
LDL
indirectly
influenced
class/Bacteroidales
GC,
proportions
1.71%
0.048),
1.69%
2.05%
0.045),
1.85%
1.99%
respectively.
The
present
study
provides
suggestive
evidence
relationship
GM,
risk,
potentially
offering
new
insights
into
etiology.
Cancer Cell International,
Год журнала:
2025,
Номер
25(1)
Опубликована: Март 21, 2025
Nowadays,
gastric
cancer
has
become
a
significant
issue
in
the
global
burden,
and
its
impact
cannot
be
ignored.
The
rapid
development
of
artificial
intelligence
technology
is
attempting
to
address
this
situation,
aiming
change
clinical
management
landscape
fundamentally.
In
transformative
change,
machine
learning
deep
learning,
as
two
core
technologies,
play
pivotal
role,
bringing
unprecedented
innovations
breakthroughs
diagnosis,
treatment,
prognosis
evaluation
cancer.
This
article
comprehensively
reviews
latest
research
status
application
algorithms
cancer,
covering
multiple
dimensions
such
image
recognition,
pathological
analysis,
personalized
risk
assessment.
These
applications
not
only
significantly
improve
sensitivity
monitoring,
accuracy
precision
survival
but
also
provide
robust
data
support
scientific
basis
for
decision-making.
integration
intelligence,
from
optimizing
diagnosis
process
enhancing
diagnostic
efficiency
promoting
practice
medicine,
demonstrates
promising
prospects
reshaping
treatment
model
Although
most
current
AI-based
models
have
been
widely
used
practice,
with
continuous
deepening
expansion
we
reason
believe
that
new
era
AI-driven
care
approaching.
Circular
RNAs
(circRNAs)
are
a
special
class
of
non‑coding
that
widely
expressed
in
tissues
and
cells.
Owing
to
their
lack
5'‑cap
3'‑polyadenylated
[poly(A)]
tail,
they
more
structurally
stable
difficult
degrade
compared
with
linear
RNA.
Numerous
studies
published
recently
have
suggested
circRNAs
can
encode
peptides
or
proteins
through
cap‑independent
translation
mechanisms
participate
the
occurrence
development
cancer.
In
present
review,
mechanism
underlying
encoding
by
circRNAs,
biological
information
tools
available
for
predicting
translation,
identification
verification
translational
abilities
summarized
analyzed.
Finally,
associated
circRNA‑encoded
polypeptides
various
types
cancer
summarized.
this
review
its
discussion
on
coding
function,
we
hope
provide
novel
perspectives
possibilities
treatment
as
knowledge
area
is
added
developed
future.
Bioengineering,
Год журнала:
2024,
Номер
11(3), С. 233 - 233
Опубликована: Фев. 28, 2024
Gastric
cancer
poses
a
societal
and
economic
burden,
prompting
an
exploration
into
the
development
of
materials
suitable
for
gastric
reconstruction.
However,
there
is
dearth
studies
on
mechanical
properties
porcine
human
stomachs.
Therefore,
this
study
was
conducted
to
elucidate
their
properties,
focusing
interspecies
correlations.
Stress
relaxation
tensile
tests
assessed
hyperelastic
viscoelastic
characteristics
The
thickness,
stress–strain
curve,
elastic
modulus,
stress
were
assessed.
Porcine
stomachs
significantly
thicker
than
stiffness
contrast
between
evident.
demonstrated
varying
modulus
values,
with
highest
in
longitudinal
mucosa
layer
corpus
lowest
intact
fundus.
In
stomachs,
muscular
antrum
highest,
whereas
that
circumferential
muscularis
lowest.
degree
higher
This
comprehensively
elucidated
differences
attributable
variations
across
different
regions
tissue
layers,
providing
essential
biomechanical
support
subsequent
field.
Background:
Patients
with
gastric
cancer
respond
poorly
to
immunotherapy.
There
are
still
unknowns
about
the
biomarkers
associated
immunotherapy
sensitivity
and
their
underlying
molecular
mechanisms.
Methods:
Gene
expression
data
for
were
gathered
from
TCGA
GEO
databases.
DEGs
response
came
ICBatlas.
KEGG
GO
analyses
investigated
pathways.
Hub
genes
identification
employed
multiple
machine
algorithms.
Associations
between
hub
signaling
pathways,
disease
genes,
immune
cell
infiltration,
drug
sensitivity,
prognostic
predictions
explored
via
multi-omics
analysis.
gene
was
validated
through
HPA
CCLE.
Multiple
algorithms
pinpointed
Cancer-Associated
Fibroblasts
(CAFs),
ten
machine-learning
methods
generating
CAFs
scores
prognosis.
Model
at
single-cell
level
using
TISCH
database.
Results:
We
identified
201
upregulated
935
downregulated
DEGs.
Three
namely
CDH6,
EGFLAM,
RASGRF2,
unveiled.
These
implicated
in
diverse
disease-related
Additionally,
they
exhibited
significant
correlations
disease-associated
expression,
sensitivity.
Exploration
of
CCLE
databases
exposed
substantial
variations
across
patients
lines
these
genes.
Subsequently,
we
CAFs-associated
established
a
robust
model.
The
analysis
database
showed
that
this
model
highly
expressed
CAFs.
Conclusions:
results
unveil
an
association
RASGRF2
immunotherapeutic
cancer.
hold
potential
as
predictive
resistance
assessment.
Cancer Science,
Год журнала:
2024,
Номер
115(4), С. 1141 - 1153
Опубликована: Янв. 29, 2024
Abstract
The
indigenous
microbial
milieu
within
tumorous
tissues
exerts
a
pivotal
influence
on
the
genesis
and
advancement
of
gastric
cancer
(GC).
This
investigation
scrutinizes
functions
molecular
mechanisms
attributed
to
Prevotella
intermedia
in
malignant
evolution
GC.
Isolation
P.
from
paired
GC
was
undertaken.
Quantification
abundance
102
accomplished
using
quantitative
real‐time
PCR
(qRT‐PCR).
Assessment
biological
effects
cells
observed
culture
medium
supernatant.
Furthermore,
protein
profile
treated
with
tumor‐derived
examined
through
label‐free
analysis.
functionality
perilipin
3
(PLIN3)
subsequently
confirmed
shRNA.
Our
revealed
that
relative
tumor
significantly
surpassed
corresponding
healthy
tissues.
exhibited
correlations
differentiation
(
p
=
0.006),
perineural
invasion
0.004),
omentum
majus
0.040),
survival
duration
patients
0.042).
supernatant
derived
tumor‐associated
bolstered
proliferation,
clone
formation,
migration,
cells.
After
indirect
co‐cultivation
,
dysregulation
34
proteins,
including
PLIN3,
discerned
Knockdown
PLIN3
mitigated
malignancy
instigated
by
findings
posit
microenvironment
plays
substantial
role
progression
via
modulation
expression.
Moreover,
might
serve
as
potential
biomarker
for
diagnosis
prognosis