Disulfidptosis: A new type of cell death
Fei Xiao,
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Huili Li,
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Bei Yang
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et al.
APOPTOSIS,
Journal Year:
2024,
Volume and Issue:
unknown
Published: June 17, 2024
Abstract
Disulfidptosis
is
a
novel
form
of
cell
death
that
distinguishable
from
established
programmed
pathways
such
as
apoptosis,
pyroptosis,
autophagy,
ferroptosis,
and
oxeiptosis.
This
process
characterized
by
the
rapid
depletion
nicotinamide
adenine
dinucleotide
phosphate
(NADPH)
in
cells
high
expression
solute
carrier
family
7
member
11
(SLC7A11)
during
glucose
starvation,
resulting
abnormal
cystine
accumulation,
which
subsequently
induces
andabnormal
disulfide
bond
formation
actin
cytoskeleton
proteins,
culminating
network
collapse
disulfidptosis.
review
aimed
to
summarize
underlying
mechanisms,
influencing
factors,
comparisons
with
traditional
pathways,
associations
related
diseases,
application
prospects,
future
research
directions
Language: Английский
Establishment of a prognostic risk prediction model incorporating disulfidptosis-related lncRNA for patients with prostate cancer
Yelisudan Mulati,
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Cong Lai,
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Jiawen Luo
No information about this author
et al.
BMC Cancer,
Journal Year:
2024,
Volume and Issue:
24(1)
Published: Jan. 8, 2024
Abstract
Purpose
Prostate
cancer
(PCa)
is
one
of
the
major
tumor
diseases
that
threaten
men’s
health
globally,
and
biochemical
recurrence
significantly
impacts
its
prognosis.
Disulfidptosis,
a
recently
discovered
cell
death
mechanism
triggered
by
intracellular
disulfide
accumulation
leading
to
membrane
rupture,
new
area
research
in
context
PCa.
Currently,
impact
on
PCa
remains
largely
unexplored.
This
study
aims
investigate
correlation
between
long
non-coding
RNAs
(lncRNAs)
associated
with
disulfidptosis
prognosis
PCa,
seeking
potential
connections
two.
Methods
Transcriptomic
data
for
cohort
were
obtained
from
Cancer
Genome
Atlas
database.
Disulfidptosis-related
lncRNAs
(DDRLs)
identified
through
differential
expression
Pearson
analysis.
DDRLs
recurrence-free
survival
(BRFS)
precisely
using
univariate
Cox
LASSO
regression,
resulting
development
risk
score
model.
Clinical
factors
linked
BRFS
determined
both
multivariate
analyses.
A
prognostic
nomogram
combined
key
clinical
variables.
Model
performance
was
assessed
Receiver
Operating
Characteristic
(ROC)
curves,
Decision
Curve
Analysis
(DCA),
calibration
curves.
The
functional
critical
DDRL
substantiated
assays
involving
CCK8,
invasion,
migration,
cloning.
Additionally,
immunohistochemical
(IHC)
staining
disulfidptosis-related
protein
SLC7A11
conducted.
Results
signature
included
AC026401.3,
SNHG4,
SNHG25,
U73166.1
as
components.
derived
these
signatures
stood
independent
factor
patients,
correlating
poorer
high-risk
group.
By
combining
variables,
practical
created,
accurately
predicting
patients.
Notably,
silencing
AC026401.3
hindered
proliferation,
colony
formation.
IHC
revealed
elevated
dithiosulfatide-related
tissue.
Conclusions
novel
DDRLs,
possessing
commendable
predictive
power,
has
been
constructed,
simultaneously
providing
therapeutic
targets
disulfidptosis,
among
which
validated
vitro
demonstrated
inhibition
tumorigenesis
after
silencing.
Language: Английский
An unfolded protein response (UPR)-signature regulated by the NFKB–miR-29b/c axis fosters tumor aggressiveness and poor survival in bladder cancer
Frontiers in Molecular Biosciences,
Journal Year:
2025,
Volume and Issue:
12
Published: Feb. 14, 2025
Background
Bladder
cancer
continues
to
pose
a
substantial
global
health
challenge,
marked
by
high
mortality
rate
despite
advances
in
treatment
options.
Therefore,
in-depth
understanding
of
molecular
mechanisms
related
disease
onset,
progression,
and
patient
survival
is
utmost
importance
bladder
research.
Here,
we
aimed
investigate
the
underlying
using
stringent
differential
expression
analyses-based
pipeline.
Methods
Gene
miRNA
data
from
TCGA
NCBI
GEO
databases
were
analyzed.
Differentially
expressed
genes
between
normal
vs
tumor,
among
tumor
aggressiveness
groups
early
advanced
stage
identified
Student's
t-test
ANOVA.
Kaplan-Meier
analyses
conducted
R.
Functional
annotation,
target
transcription
factor
prediction,
network
construction,
random
walk
analysis
gene
set
enrichment
performed
DAVID,
miRDIP,
TransmiR,
Cytoscape,
Java
GSEA
respectively.
Results
We
elevated
endoplasmic
reticulum
(ER)
stress
response
as
key
culprit,
an
eight-gene
unfolded
protein
(UPR)-related
signature
(UPR-GS)
drives
aggressive
poor
patients.
This
UPR-GS
linked
downregulation
two
miRNAs
miR-29
family
(miR-29b-2-5p
miR-29c-5p),
which
can
limit
UPR-driven
improve
survival.
At
further
upstream,
inflammation-related
NFKB
inhibits
miR-29b/c
expression,
driving
UPR-related
progression
determining
Conclusion
These
findings
highlight
that
aberrantly
activated
UPR,
regulated
NFKB-miR-29b/c
axis,
plays
crucial
role
cancer,
highlighting
potential
targets
for
therapeutic
interventions
prognostic
markers
management.
Language: Английский
Pan-cancer analysis of the disulfidptosis-related gene RPN1 and its potential biological function and prognostic significance in gliomas
Yan Zong,
No information about this author
Ankang Zhu,
No information about this author
Peipei Liu
No information about this author
et al.
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(11), P. e31875 - e31875
Published: May 25, 2024
BackgroundNumerous
studies
have
shown
a
strong
correlation
between
disulfidptosis
and
various
cancers.
However,
the
expression
function
of
RPN1,
crucial
gene
in
disulfidptosis,
remain
unclear
context
cancer.MethodsGene
clinical
information
on
lung
adenocarcinoma
were
obtained
from
The
Cancer
Genome
Atlas
(TCGA)
Genotype-Tissue
Expression
(GTEx)
databases.
RPN1
was
analyzed
using
Timer2.0
Human
Protein
(HPA)
Prognostic
significance
assessed
Cox
regression
analysis
Kaplan–Meier
curves.
Genetic
mutations
methylation
levels
examined
cBioPortal
UALCAN
platforms,
respectively.
relationship
tumor
mutation
burden
(TMB)
microsatellite
instability
(MSI)
across
different
cancer
types
Spearman
coefficient.
immune
cell
infiltration
database,
whereas
variations
drug
sensitivity
explored
CellMiner
database.
Receiver
operating
characteristic
curves
validated
RPN1's
diagnostic
potential
glioma,
its
with
checkpoint
inhibitors
(ICIs)
Spearman's
Single-sample
set
enrichment
elucidated
link
cells
pathways.
In
addition,
nomogram
based
developed
to
predict
patient
prognosis.
functional
impact
glioma
confirmed
scratch
Transwell
assays.ResultRPN1
aberrantly
expressed
cancers
affected
main
type
amplified.
exhibited
positive
myeloid-derived
suppressor
cells,
neutrophils,
macrophages,
negative
CD8+
T
hematopoietic
stem
cells.
associated
TMB
MSI
positively
correlated
multiple
ICIs
gliomas.
also
into
microenvironment.
an
independent
prognostic
factor
for
gliomas,
demonstrated
excellent
predictive
performance.
Interference
reduces
migratory
invasive
ability
cells.ConclusionRPN1
exerts
multifaceted
effects
stages
cancer,
including
infiltration,
prognosis,
treatment
outcomes.
affects
prognosis
microenvironment
patients
making
target
glioma.
Language: Английский
A Multi-Omics-Based Exploration of the Predictive Role of MSMB in Prostate Cancer Recurrence: A Study Using Bayesian Inverse Convolution and 10 Machine Learning Combinations
Shan Huang,
No information about this author
Hang Yin
No information about this author
Biomedicines,
Journal Year:
2025,
Volume and Issue:
13(2), P. 487 - 487
Published: Feb. 16, 2025
Background:
Prostate
cancer
(PCa)
is
a
prevalent
malignancy
among
elderly
men.
Biochemical
recurrence
(BCR),
which
typically
occurs
after
radical
treatments
such
as
prostatectomy
or
radiation
therapy,
serves
critical
indicator
of
potential
disease
progression.
However,
reliable
and
effective
methods
for
predicting
BCR
in
PCa
patients
remain
limited.
Methods:
In
this
study,
we
used
Bayesian
deconvolution
combined
with
10
machine
learning
algorithms
to
build
five-gene
model
The
the
five
selected
genes
were
externally
validated.
Various
analyses
prognosis,
clinical
subgroups,
tumor
microenvironment,
immunity,
genetic
variants,
drug
sensitivity
performed
on
MSMB/Epithelial_cells
subgroups.
Results:
Our
outperformed
102
previously
published
prognostic
features.
Notably,
high
proportion
MSMB/epithelial
cells
characterized
by
greater
progression-free
Interval
(PFI),
higher
early-stage
tumors,
lower
stromal
component,
reduced
presence
tumor-associated
fibroblasts
(CAF).
was
also
associated
frequencies
SPOP
TP53
mutations.
Drug
analysis
revealed
that
poorer
prognosis
cell
ratio
showed
increased
cyclophosphamide,
cisplatin,
dasatinib.
Conclusions:
developed
study
provides
robust
accurate
tool
It
offers
significant
enhancing
risk
stratification
informing
personalized
treatment
strategies
patients.
Language: Английский
Therapeutic Potential of lncRNAs in Regulating Disulfidptosis for Cancer Treatment
Abida Abida,
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Abdulmalik S A Altamimi,
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Nehmat Ghaboura
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et al.
Pathology - Research and Practice,
Journal Year:
2024,
Volume and Issue:
263, P. 155657 - 155657
Published: Oct. 16, 2024
Language: Английский
Identification and Characterisation of Potential Targets for N6-methyladenosine (m6A) Modification during Intervertebral Disc Degeneration
Jianlin Shen,
No information about this author
Qiang Zhang,
No information about this author
Yujian Lan
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et al.
Frontiers in Bioscience-Landmark,
Journal Year:
2024,
Volume and Issue:
29(12)
Published: Nov. 28, 2024
The
mechanism
for
RNA
methylation
during
disc
degeneration
is
unclear.
aim
of
this
study
was
to
identify
N6-methyladenosine
(m6A)
markers
and
therapeutic
targets
the
prevention
treatment
intervertebral
(IDD).
Language: Английский
Bioinformatics Identification and Experimental Verification of Disulfidptosis-Related Genes in the Progression of Osteoarthritis
Biomedicines,
Journal Year:
2024,
Volume and Issue:
12(8), P. 1840 - 1840
Published: Aug. 13, 2024
Osteoarthritis
(OA)
is
a
disabling
and
highly
prevalent
condition
affecting
millions
worldwide.
Recently
discovered,
disulfidptosis
represents
novel
form
of
cell
death
induced
by
the
excessive
accumulation
cystine.
Despite
its
significance,
systematic
exploration
disulfidptosis-related
genes
(DRGs)
in
OA
lacking.
Language: Английский
Prognostic model based on disulfidptosis-related lncRNAs for predicting survival and therapeutic response in bladder cancer
Han Li,
No information about this author
Yang Hong,
No information about this author
Xuan Jiang
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et al.
Frontiers in Immunology,
Journal Year:
2024,
Volume and Issue:
15
Published: Dec. 2, 2024
With
poor
treatment
outcomes
and
prognosis,
bladder
cancer
remains
a
focus
for
clinical
research
in
the
precision
oncology
era.
However,
potential
of
disulfidptosis,
novel
cell
death
mechanism,
its
related
long
non-coding
RNAs
to
support
selective
killing
this
disease
is
still
unclear.
Language: Английский