Cell Death and Disease,
Journal Year:
2022,
Volume and Issue:
13(11)
Published: Nov. 4, 2022
Metastasis
is
the
dominant
cause
of
cancer-related
mortality.
Metastasis-associated
with
colon
cancer
protein
1
(MACC1)
has
been
proven
to
play
a
critical
role
in
metastasis.
However,
prometastatic
MACC1
regulating
pancreatic
(PC)
metastatic
phenotype
remains
elusive.
Here,
we
report
that
highly
expressed
The
Cancer
Genome
Atlas
(TCGA)
and
tissue
microarray
(TMA)
identified
as
good
indicator
for
poor
prognosis.
Overexpression
or
knockdown
PC
cells
correspondingly
promoted
inhibited
cell
migration
invasion
MET
proto-oncogene
receptor
tyrosine
kinase
(MET)-independent
manner.
Notably,
markedly
decreased
liver
lesions
metastasis
model.
Mechanistically,
binds
epithelial-mesenchymal
transition
(EMT)
regulator
snail
family
transcriptional
repressor
(SNAI1)
drive
EMT
via
upregulating
activity
SNAI1,
leading
transactivation
fibronectin
(FN1)
trans-repression
cadherin
(CDH1).
Collectively,
our
results
unveil
new
mechanism
by
which
drives
suggest
MACC1-SNAI1
complex-mediated
mesenchymal
may
be
therapeutic
target
cancer.
The Lancet,
Journal Year:
2023,
Volume and Issue:
402(10409), P. 1272 - 1281
Published: Sept. 11, 2023
Pancreatic
ductal
adenocarcinoma
remains
one
of
the
most
lethal
malignancies,
with
few
treatment
options.
NAPOLI
3
aimed
to
compare
efficacy
and
safety
NALIRIFOX
versus
nab-paclitaxel
gemcitabine
as
first-line
therapy
for
metastatic
pancreatic
(mPDAC).
Frontiers in Endocrinology,
Journal Year:
2022,
Volume and Issue:
12
Published: March 9, 2022
The
overall
survival
(OS)
of
pancreatic
cancer
(PC)
patients
with
bone
metastasis
(BM)
is
extremely
low,
and
it
pretty
hard
to
treat
metastasis.
However,
there
are
currently
no
effective
nomograms
predict
the
diagnosis
prognosis
(PCBM).
Therefore,
great
significance
establish
predictive
models
guide
clinical
practice.We
screened
from
Surveillance
Epidemiology
End
Results
(SEER)
database
between
2010
2016.
independent
risk
factors
PCBM
were
identified
univariable
multivariable
logistic
regression
analyses,
univariate
multivariate
Cox
proportional
hazards
analyses
used
determine
prognostic
affecting
PCBM.
In
addition,
two
constructed
We
area
under
curve
(AUC),
C-index
calibration
accuracy
discriminability
nomograms.
decision
analysis
(DCA)
Kaplan-Meier(K-M)
curves
employed
further
confirm
effectiveness
nomogram.Multivariable
revealed
that
included
age,
primary
site,
histological
subtype,
N
stage,
radiotherapy,
surgery,
brain
metastasis,
lung
liver
Using
we
found
race,
grade,
chemotherapy,
utilized
visually
express
data
results.
training
cohort
was
0.795
(95%CI:
0.758-0.832),
whereas
internal
validation
0.800
0.739-0.862),
external
0.787
0.746-0.828).
Based
on
AUC
receiver
operating
characteristic
(ROC)
analysis,
plots,
(DCA),
concluded
model
exhibits
excellent
performance.Nomogram
sufficiently
accurate
PCBM,
allowing
for
individualized
decisions
future
work.
ACS Applied Materials & Interfaces,
Journal Year:
2025,
Volume and Issue:
17(2), P. 2924 - 2939
Published: Jan. 2, 2025
Pancreatic
ductal
adenocarcinoma
(PDAC)
is
a
very
challenging
disease
with
poor
prognosis.
It
characterized
by
dense
desmoplastic
stroma
that
hampers
drug
penetration
and
limits
the
effectiveness
of
conventional
chemotherapy
(CT).
As
an
alternative,
combination
CT
hyperthermia
(HT)
has
been
proposed
as
innovative
treatment
modality
for
PDAC.
In
previous
works,
we
reported
on
development
iron
oxide
magnetic
nanoparticles
(MNPs)
that,
when
exposed
to
time-varying
fields,
exhibit
strong
HT
responses
inhibited
growth
pancreatic
cancers.
We
report
here
advances
toward
clinical
use
these
MNPs
intratumorally
administered
sterile
fluid
(the
"NoCanTher
ThermoTherapy"
or
"NTT"
Agent)
alongside
intravenous
standard-of-care
drugs
(gemcitabine
nab-paclitaxel)
vitro
cell
viability
assays
show
low
doses
highly
synergistic,
particularly
in
BxPC-3
line.
vivo,
biodistribution
showed
NTT
Agent
remained
mainly
within
tumor,
concentrated
around
areas
high
stromal
component.
Moreover,
combined
CT/HT
shows
clear
advantages
over
alone
terms
reduction
tumor
volume,
suggesting
potential
direct
effect
disruption
interstitial
facilitate
access
malignant
cells.
These
studies
have
led
approval
commencement
investigational
study
at
Vall
d'Hebron
University
Hospital
(Barcelona,
Spain)
patients
locally
advanced
As
the
most
aggressive
tumor,
outcome
of
pancreatic
cancer
(PACA)
has
not
improved
observably
over
last
decade.
Anatomy-based
TNM
staging
does
exactly
identify
treatment-sensitive
patients,
and
an
ideal
biomarker
is
urgently
needed
for
precision
medicine.
Based
on
expression
files
1280
patients
from
10
multicenter
cohorts,
we
screened
32
consensus
prognostic
genes.
Ten
machine-learning
algorithms
were
transformed
into
76
combinations,
which
selected
optimal
algorithm
to
construct
artificial
intelligence-derived
signature
(AIDPS)
according
average
C-index
in
nine
testing
cohorts.
The
results
training
cohort,
Meta-Cohort,
three
external
validation
cohorts
(290
patients)
consistently
indicated
that
AIDPS
could
accurately
predict
prognosis
PACA.
After
incorporating
several
vital
clinicopathological
features
86
published
signatures,
exhibited
robust
dramatically
superior
predictive
capability.
Moreover,
other
prevalent
digestive
system
tumors,
nine-gene
still
stratify
prognosis.
Of
note,
our
had
important
clinical
implications
PACA,
with
low
owned
a
dismal
prognosis,
higher
genomic
alterations,
denser
immune
cell
infiltrates
as
well
more
sensitive
immunotherapy.
Meanwhile,
high
group
possessed
prolonged
survival,
panobinostat
may
be
potential
agent
AIDPS.
Overall,
study
provides
attractive
tool
further
guide
management
individualized
treatment
Molecular Cancer,
Journal Year:
2023,
Volume and Issue:
22(1)
Published: Dec. 3, 2023
Abstract
Background
Circular
RNAs
(circRNAs)
play
important
roles
in
the
occurrence
and
development
of
cancer
chemoresistance.
DNA
damage
repair
contributes
to
proliferation
cells
resistance
chemotherapy-induced
apoptosis.
However,
role
circRNAs
regulation
needs
clarification.
Methods
RNA
sequencing
analysis
was
applied
identify
differentially
expressed
circRNAs.
qRT-PCR
conducted
confirm
expression
hsa_circ_0007919,
CCK-8,
FCM,
single-cell
gel
electrophoresis
IF
assays
were
used
analyze
proliferation,
apoptosis
gemcitabine
(GEM)
pancreatic
ductal
adenocarcinoma
(PDAC)
cells.
Xenograft
model
IHC
experiments
effects
hsa_circ_0007919
on
tumor
growth
vivo.
GSEA
downstream
genes
pathways
hsa_circ_0007919.
FISH
nuclear-cytoplasmic
fractionation
cellular
localization
ChIRP,
RIP,
Co-IP,
ChIP,
MS-PCR
luciferase
reporter
interaction
among
FOXA1,
TET1
LIG1
promoter.
Results
We
identified
a
highly
circRNA,
GEM-resistant
PDAC
tissues
High
correlates
with
poor
overall
survival
(OS)
disease-free
(DFS)
patients.
Hsa_circ_0007919
inhibits
damage,
accumulation
breaks
induced
by
GEM
LIG1-dependent
manner
maintain
cell
survival.
Mechanistically,
recruits
FOXA1
decrease
methylation
promoter
increase
its
transcription,
further
promoting
base
excision
repair,
mismatch
nucleotide
repair.
At
last,
we
found
that
enhanced
binding
QKI
introns
pre-mRNA
splicing
circularization
this
generate
Conclusions
promotes
enhancing
Targeting
could
be
therapeutic
strategy
for
PDAC.
Frontiers in Immunology,
Journal Year:
2024,
Volume and Issue:
15
Published: March 1, 2024
The
disordered
growth,
invasion
and
metastasis
of
cancer
are
mainly
attributed
to
bidirectional
cell-cell
interactions.
Extracellular
vesicles
(EVs)
secreted
by
cells
involved
in
orchestrating
the
formation
pre-metastatic
niches
(PMNs).
Tumor-derived
EVs
mediate
communication
between
tumor
stromal
local
distant
microenvironments.
carrying
mRNAs,
small
RNAs,
microRNAs,
DNA
fragments,
proteins
metabolites
determine
metastatic
organotropism,
enhance
angiogenesis,
modulate
stroma
cell
phenotypes,
restructure
extracellular
matrix,
induce
immunosuppression
modify
metabolic
environment
organs.
Evidence
indicates
that
educate
secondary
sites
establish
metastasis-supportive
microenvironments
for
seeding
cells.
In
this
review,
we
provide
a
comprehensive
overview
PMN
underlying
mechanisms
mediated
EVs.
Potential
approaches
inhibit
inhibiting
PMNs
also
presented.