Human Vaccines & Immunotherapeutics,
Journal Year:
2025,
Volume and Issue:
21(1)
Published: Jan. 8, 2025
The
global
burden
of
cancer
continues
to
grow,
posing
a
significant
public
health
challenge.
Although
immunotherapy
has
shown
efficacy,
the
response
rate
is
not
high.
Therefore,
objective
our
research
was
identify
latest
trends
and
hotspots
on
biomarkers
from
1993
2023.
Data
were
collected
database
Web
Science
core
collection.
Bibliometric
analysis
visualization
conducted
with
CiteSpace(6.3.1),
VOSviewer
(v1.6.20),
R-bibliometrix(v4.3.3),
Microsoft
Excel(2019).
A
total
2686
literatures
retrieved.
sheer
annual
volume
publications
rapid
upward
trend
since
2015.
United
States
generated
most
Harvard
University
ranked
as
leading
institution.
biomarker
immune
checkpoint
inhibitors
(ICIs)
revealed
regional
differences
in-depth
explorations
should
be
promoted
in
developing
countries.
China
become
second
largest
country
terms
publication,
average
citation
per
paper
link
strength
both
lower
than
other
mainly
concentrated
upon
following
aspects:
PD-1/PD-L1,
CTLA-4,
gene
expression,
adverse
events,
mutational
(TMB),
body
mass
index
(BMI),
gut
microbiota,
cd8(+)/cd4(+)
t-cells,
blood-related
such
lactate
dehydrogenase
(LDH),
neutrophil–lymphocyte
ratio
(NLR),
cytokines.
Furthermore,
"artificial
intelligence"
"machine
learning"
have
important
hotspot
over
last
2
y,
which
will
help
us
useful
complex
big
data
provide
basis
for
precise
medicine
malignant
tumors.
Aging,
Journal Year:
2023,
Volume and Issue:
unknown
Published: June 13, 2023
Lung
adenocarcinoma
(LUAD)
is
the
most
common
type
of
lung
cancer
which
accounts
for
about
40%
all
cancers.
Early
detection,
risk
stratification
and
treatment
are
important
improving
outcomes
LUAD.
Recent
studies
have
found
that
abnormal
accumulation
cystine
other
disulfide
occurs
in
cell
under
glucose
starvation,
induces
stress
increases
content
bond
actin
cytoskeleton,
resulting
death,
defined
as
disulfidptosis.
Because
study
disulfidptosis
its
infancy,
role
disease
progression
still
unclear.
In
this
study,
we
detected
expression
mutation
genes
LUAD
using
a
public
database.
Clustering
analysis
based
on
gene
was
performed
differential
subtype
were
analyzed.
7
used
to
construct
prognostic
model,
causes
differences
investigated
by
immune-infiltration
analysis,
immune
checkpoint
drug
sensitivity
analysis.
qPCR
verify
key
line
(A549)
normal
bronchial
epithelial
(BEAS-2B).
Since
G6PD
had
highest
factor
cancer,
further
verified
protein
cells
western
blot,
confirmed
through
colony
formation
experiment
interference
with
able
significantly
inhibit
proliferation
ability
cells.
Our
results
provide
evidence
new
ideas
individualized
precision
therapy
Frontiers in Immunology,
Journal Year:
2023,
Volume and Issue:
14
Published: Sept. 11, 2023
Regulatory
T
cells
(Treg),
as
members
of
CD4+
cells,
have
garnered
extensive
attention
in
the
research
tumor
progression.
Treg
function
inhibiting
immune
effector
preventing
tissue
damage,
and
suppressing
inflammation.
Under
stimulation
inflammatory
microenvironment
(IM),
reprogramming
enhances
their
suppression
responses,
ultimately
promoting
escape
or
Reducing
number
IM
lowering
activity
while
reprogramming,
can
help
promote
body's
anti-tumor
responses.
This
review
introduces
a
mechanism
IM;
discusses
regulation
on
The
control
response
to
immunotherapy
are
analyzed
countermeasures
proposed.
work
will
provide
foundation
for
downregulating
immunosuppressive
role
environment
future
immunotherapy.
Frontiers in Immunology,
Journal Year:
2023,
Volume and Issue:
14
Published: June 23, 2023
Disulfidptosis
is
a
newly
discovered
mode
of
cell
death
induced
by
disulfide
stress.
However,
the
prognostic
value
disulfidptosis-related
genes
(DRGs)
in
renal
carcinoma
(RCC)
remains
to
be
further
elucidated.
In
this
study,
consistent
cluster
analysis
was
used
classify
571
RCC
samples
into
three
DRG-related
subtypes
based
on
changes
DRGs
expression.
Through
univariate
regression
and
LASSO-Cox
differentially
expressed
(DEGs)
among
subtypes,
we
constructed
validated
DRG
risk
score
predict
prognosis
patients
with
RCC,
while
also
identifying
gene
subtypes.
Analysis
score,
clinical
characteristics,
tumor
microenvironment
(TME),
somatic
mutations,
immunotherapy
sensitivity
revealed
significant
correlations
between
them.
A
series
studies
have
shown
that
MSH3
can
potential
biomarker
its
low
expression
associated
poor
RCC.
Last
but
not
least,
overexpression
promotes
two
lines
under
glucose
starvation
conditions,
indicating
key
process
disulfidptosis.
summary,
identify
mechanism
progression
through
-related
remodeling.
addition,
study
has
successfully
established
new
prediction
model
.
They
may
biomarkers
for
patients,
provide
insights
treatment
inspire
methods
diagnosis
patients.
Frontiers in Molecular Biosciences,
Journal Year:
2023,
Volume and Issue:
10
Published: Oct. 17, 2023
Background:
Colon
cancer,
a
prevalent
and
deadly
malignancy
worldwide,
ranks
as
the
third
leading
cause
of
cancer-related
mortality.
Disulfidptosis
stress
triggers
unique
form
programmed
cell
death
known
disulfidoptosis,
characterized
by
excessive
intracellular
cystine
accumulation.
This
study
aimed
to
establish
reliable
bioindicators
based
on
long
non-coding
RNAs
(LncRNAs)
associated
with
disulfidptosis-induced
death,
providing
novel
insights
into
immunotherapeutic
response
prognostic
assessment
in
patients
colon
adenocarcinoma
(COAD).
Methods:
Univariate
Cox
proportional
hazard
analysis
Lasso
regression
were
performed
identify
differentially
expressed
genes
strongly
prognosis.
Subsequently,
multifactorial
model
for
risk
was
developed
using
multiple
regression.
Furthermore,
we
conducted
comprehensive
evaluations
characteristics
disulfidptosis
response-related
LncRNAs,
considering
clinicopathological
features,
tumor
microenvironment,
chemotherapy
sensitivity.
The
expression
levels
prognosis-related
COAD
validated
quantitative
real-time
fluorescence
PCR
(qRT-PCR).
Additionally,
role
ZEB1-SA1
cancer
investigated
through
CCK8
assays,
wound
healing
experiment
transwell
experiments.
Results:
LncRNAs
identified
robust
predictors
Multifactorial
revealed
that
score
derived
from
these
served
an
independent
factor
COAD.
Patients
low-risk
group
exhibited
superior
overall
survival
(OS)
compared
those
high-risk
group.
Accordingly,
our
Nomogram
prediction
model,
integrating
clinical
scores,
demonstrated
excellent
efficacy.
In
vitro
experiments
promoted
proliferation
migration
cells.
Conclusion:
Leveraging
medical
big
data
artificial
intelligence,
constructed
TCGA-COAD
cohort,
enabling
accurate
patients.
implementation
this
practice
can
facilitate
precise
classification
patients,
identification
specific
subgroups
more
likely
respond
favorably
immunotherapy
chemotherapy,
inform
development
personalized
treatment
strategies
scientific
evidence.
Aging,
Journal Year:
2023,
Volume and Issue:
unknown
Published: Aug. 7, 2023
Disulfidptosis
is
a
new
cell
death
model
caused
by
accumulating
intracellular
disulfides
bonding
to
actin
cytoskeleton
proteins.
This
study
aimed
investigate
the
expression
and
prognostic
value
of
disulfidptosis-related
genes
(DRGs)
in
lung
adenocarcinoma
(LUAD).
The
data
profiles
scRNA-seq
were
collected
from
TCGA
GEO
databases.
different
expressions
DRGs
between
normal
LUAD
tissues
compared.
LASSO
analysis
multivariate
Cox
regression
utilized
develop
for
prognosis
evaluation
LUAD.
model's
predictive
accuracy
was
evaluated
with
area
under
receiver
operating
characteristic
curve
(AUC)
C-index.
Survival
analysis,
univariate
used
assessing
model.
ScRNA-seq
analyzed
"Seurat"
"Monocle
2"
packages.
There
significant
differences
22
tumor
tissues.
A
five
(ACTB,
FLNB,
NCKAP1,
SLC3A2,
SLC7A11)
constructed.
AUC
C-index
significantly
higher
than
that
based
on
clinical
parameters.
demonstrated
risk
score
an
independent
predictor.
In
study,
we
identified
14
clusters
11
types.
Clusters
2,
8,
13
annotated
into
Epithelial
cells.
SLC7A11
NCKAP1
ACTB
expressed
most
abundantly
cells,
Endothelial
Naive
CD4
T,
respectively.
We
explored
constructed
model,
which
stable
reliable
predicting
prognosis.
Biomarker Research,
Journal Year:
2024,
Volume and Issue:
12(1)
Published: April 29, 2024
Abstract
Cell
death
is
an
important
part
of
the
life
cycle,
serving
as
a
foundation
for
both
orderly
development
and
maintenance
physiological
equilibrium
within
organisms.
This
process
fundamental,
it
eliminates
senescent,
impaired,
or
aberrant
cells
while
also
promoting
tissue
regeneration
immunological
responses.
A
novel
paradigm
programmed
cell
death,
known
disulfidptosis,
has
recently
emerged
in
scientific
circle.
Disulfidptosis
defined
accumulation
cystine
by
cancer
with
high
expression
solute
carrier
family
7
member
11
(SLC7A11)
during
glucose
starvation.
causes
extensive
disulfide
linkages
between
F-actins,
resulting
their
contraction
subsequent
detachment
from
cellular
membrane,
triggering
death.
The
RAC1-WRC
axis
involved
this
phenomenon.
sparked
growing
interest
due
to
its
potential
applications
variety
pathologies,
particularly
oncology,
neurodegenerative
disorders,
metabolic
anomalies.
Nonetheless,
complexities
regulatory
pathways
remain
elusive,
precise
molecular
targets
have
yet
be
definitively
identified.
manuscript
aims
meticulously
dissect
historical
evolution,
underpinnings,
frameworks,
implications
disulfidptosis
various
disease
contexts,
illuminating
promise
groundbreaking
therapeutic
pathway
target.
Frontiers in Aging Neuroscience,
Journal Year:
2023,
Volume and Issue:
15
Published: Aug. 4, 2023
Background
Alzheimer’s
disease
(AD),
a
common
neurological
disorder,
has
no
effective
treatment
due
to
its
complex
pathogenesis.
Disulfidptosis,
newly
discovered
type
of
cell
death,
seems
be
closely
related
the
occurrence
various
diseases.
In
this
study,
through
bioinformatics
analysis,
expression
and
function
disulfidptosis-related
genes
(DRGs)
in
were
explored.
Methods
Differential
analysis
was
performed
on
gene
matrix
AD,
intersection
differentially
expressed
AD
obtained.
Hub
further
screened
using
multiple
machine
learning
methods,
predictive
model
constructed.
Finally,
97
samples
divided
into
two
subgroups
based
hub
genes.
Results
total
22
overlapping
identified,
7
obtained
learning,
including
MYH9,
IQGAP1,
ACTN4,
DSTN,
ACTB,
MYL6,
GYS1.
Furthermore,
diagnostic
capability
validated
external
datasets
clinical
samples.
Based
these
genes,
constructed,
with
large
area
under
curve
(AUC
=
0.8847),
AUCs
validation
also
higher
than
0.7,
indicating
high
accuracy
model.
Using
unsupervised
clustering
Cluster1
(
n
24)
Cluster2
73),
most
at
levels
Cluster2.
Immune
infiltration
revealed
that
had
level
immune
scores.
Conclusion
A
close
association
between
disulfidptosis
established
assess
risk
subtype
patients.
This
study
provides
new
perspectives
for
exploring
biomarkers
potential
therapeutic
targets
disease.
Frontiers in Oncology,
Journal Year:
2023,
Volume and Issue:
13
Published: June 23, 2023
The
association
between
clear
cell
renal
carcinoma
(ccRCC)
and
disulfidoptosis
remains
to
be
thoroughly
investigated.We
conducted
multiple
bioinformatics
analyses,
including
prognostic
analysis
cluster
analysis,
using
R
software.
Additionally,
we
utilized
Quantitative
Real-time
PCR
measure
RNA
levels
of
specific
genes.
proliferation
ccRCC
was
assessed
through
CCK8
colony
formation
assays,
while
the
invasion
migration
cells
were
evaluated
transwell
assay.In
this
study,
utilizing
data
from
cohorts,
identified
molecules
that
contribute
disulfidoptosis.
We
a
comprehensive
investigation
into
immunological
roles
these
molecules.
Among
disulfidoptosis-related
metabolism
genes
(DMGs),
LRPPRC,
OXSM,
GYS1,
SLC7A11
exhibited
significant
correlations
with
patient
prognosis.
Based
on
our
signature,
patients
in
different
groups
displayed
varying
immune
infiltration
mutation
profiles.
Furthermore,
classified
two
clusters
functional
pathways
play
important
occurrence
development
ccRCC.
Given
its
critical
role
disulfidoptosis,
further
SLC7A11.
Our
results
demonstrated
high
expression
malignant
phenotype.These
findings
enhanced
understanding
underlying
function
DMGs
Heliyon,
Journal Year:
2023,
Volume and Issue:
9(7), P. e17454 - e17454
Published: June 28, 2023
Ovarian
cancer
(OC)
is
a
common
tumor
of
the
female
reproductive
system,
while
Alzheimer's
disease
(AD)
prevalent
neurodegenerative
that
primarily
affects
cognitive
function
in
elderly.
Monocytes
are
immune
cells
blood
can
enter
tissues
and
transform
into
macrophages,
thus
participating
inflammatory
responses.
Overall,
monocytes
may
play
an
important
role
ovarian
cancer.The
CIBERSORT
algorithm
results
indicate
potential
crucial
monocytes/macrophages
OC
AD.
To
identify
monocyte
marker
genes,
single-cell
RNA-seq
data
peripheral
mononuclear
(PBMCs)
from
AD
patients
were
analyzed.
Enrichment
analysis
various
cell
subpopulations
was
performed
using
"irGSEA"
R
package.
The
estimation
cycle
conducted
with
"tricycle"
package,
intercellular
communication
networks
analyzed
"CellChat".
For
134
monocyte-associated
genes
(MRGs),
bulk
two
diseased
obtained.
Cox
regression
employed
to
develop
risk
models,
categorizing
high-risk
(HR)
low-risk
(LR)
groups.
model's
accuracy
validated
external
GEO
cohort.
different
groups
evaluated
terms
infiltration,
mutational
status,
signaling
pathways,
checkpoint
expression,
immunotherapy.
characteristic
MRGs
AD,
machine
learning
algorithms,
namely
random
forest
support
vector
(SVM),
utilized.Based
on
analysis,
model
consisting
seven
developed
OC,
indicating
better
prognosis
for
LR
group.
group
had
higher
mutation
burden,
infiltration
abundance,
expression.
TIDE
IMvigor210
cohort
showed
more
likely
benefit
Finally,
ZFP36L1
AP1S2
identified
as
affecting
progression.The
profile
containing
this
study
help
further
guide
clinical
management
targeted
therapy
OC.
serve
biomarkers
new
therapeutic
targets