ONCOLOGIE,
Journal Year:
2023,
Volume and Issue:
25(6), P. 671 - 680
Published: Sept. 27, 2023
Abstract
Objectives
Growing
evidence
indicates
that
pancreatic
cancer
stem
cells
(CSCs)
contribute
to
recurrence
via
chemoresistance,
and
their
growth
is
sustained
by
self-renewal.
Targeting
the
self-renewal
of
CSCs
a
crucial
strategy
eradicate
them.
Here,
we
are
first
describe
known
KRAS
inhibitor,
4,6-dichloro-2-methyl-3-aminoethyl-indole
(DCAI),
as
novel
anti-pancreatic
CSC
agent
abrogates
CSCs.
Methods
Cell
viability
assay
was
used
determine
cytotoxicity
binders
in
cell
lines
with
either
wild-type
(BxPC-3)
or
clinically
relevant
mutations
(PANC-1,
Capan-2,
MIA
PaCa-2).
The
tumoursphere
utilised
investigate
effect
DCAI
on
CSCs,
its
mechanism
action
examined
Western
blotting.
Results
remains
unaffected
binding
Benzimidazole
(BZIM)
both
oncogenic
KRAS.
Kobe0065
were
equally
potent
lines,
except
for
which
(GI
50
=25.8
±
0.8
µM)
more
than
=54.0
1.0
µM).
Capan-2
tumourspheres
markedly
irresponsive
gemcitabine
(IC
>100
µM),
while
abrogated
formation
profoundly
=30
Upon
treatment
DCAI,
CRAF,
ERK1,
ERK2,
AKT
activations
significantly
inhibited,
SOX2
expression
greatly
reduced
tumourspheres.
Conclusions
Our
present
study
revealed
depletes
inhibiting
KRAS–CRAF–ERK1/2–SOX2
KRAS–AKT–SOX2
axes.
findings
suggested
valid
therapeutic
target
eradicating
recurrence.
Journal of Biological Engineering,
Journal Year:
2023,
Volume and Issue:
17(1)
Published: April 17, 2023
Abstract
Background
Early
diagnosis
of
Pancreatic
Ductal
Adenocarcinoma
(PDAC)
is
the
main
key
to
surviving
cancer
patients.
Urine
proteomic
biomarkers
which
are
creatinine,
LYVE1,
REG1B,
and
TFF1
present
a
promising
non-invasive
inexpensive
diagnostic
method
PDAC.
Recent
utilization
both
microfluidics
technology
artificial
intelligence
techniques
enables
accurate
detection
analysis
these
biomarkers.
This
paper
proposes
new
deep-learning
model
identify
urine
for
automated
pancreatic
cancers.
The
proposed
composed
one-dimensional
convolutional
neural
networks
(1D-CNNs)
long
short-term
memory
(LSTM).
It
can
categorize
patients
into
healthy
pancreas,
benign
hepatobiliary
disease,
PDAC
cases
automatically.
Results
Experiments
evaluations
have
been
successfully
done
on
public
dataset
590
samples
three
classes,
183
pancreas
samples,
208
disease
199
samples.
results
demonstrated
that
our
1-D
CNN
+
LSTM
achieved
best
accuracy
score
97%
area
under
curve
(AUC)
98%
versus
state-of-the-art
models
diagnose
cancers
using
Conclusion
A
efficient
1D
CNN-LSTM
has
developed
early
four
TFF1.
showed
superior
performance
other
machine
learning
classifiers
in
previous
studies.
prospect
this
study
laboratory
realization
deep
classifier
urinary
biomarker
panels
assisting
procedures
Antibodies,
Journal Year:
2023,
Volume and Issue:
12(2), P. 31 - 31
Published: April 28, 2023
Pancreatic
cancer
exhibits
a
poor
prognosis
due
to
the
lack
of
early
diagnostic
biomarkers
and
resistance
conventional
chemotherapy.
CD44
has
been
known
as
stem
cell
marker
plays
tumor
promotion
drug
roles
in
various
cancers.
In
particular,
splicing
variants
are
overexpressed
many
carcinomas
play
essential
stemness,
invasiveness
or
metastasis,
treatments.
Therefore,
understanding
each
variant’s
(CD44v)
function
distribution
is
for
establishment
CD44-targeting
therapy.
this
study,
we
immunized
mice
with
CD44v3–10-overexpressed
Chinese
hamster
ovary
(CHO)-K1
cells
established
anti-CD44
monoclonal
antibodies
(mAbs).
One
clones
(C44Mab-3;
IgG1,
kappa)
recognized
peptides
variant-5-encoded
region,
indicating
that
C44Mab-3
specific
mAb
CD44v5.
Moreover,
reacted
CHO/CD44v3–10
pancreatic
lines
(PK-1
PK-8)
by
flow
cytometry.
The
apparent
KD
PK-1
was
1.3
×
10−9
M
2.6
M,
respectively.
could
detect
exogenous
CD44v3–10
endogenous
CD44v5
Western
blotting
stained
formalin-fixed
paraffin-embedded
but
not
normal
epithelial
immunohistochemistry.
These
results
indicate
useful
detecting
applications
expected
be
application
diagnosis
International Journal of Molecular Sciences,
Journal Year:
2023,
Volume and Issue:
25(1), P. 161 - 161
Published: Dec. 21, 2023
Podocalyxin
(PODXL)
overexpression
is
associated
with
poor
clinical
outcomes
in
various
tumors.
PODXL
involved
tumor
malignant
progression
through
the
promotion
of
invasiveness
and
metastasis.
Therefore,
considered
a
promising
target
monoclonal
antibody
(mAb)-based
therapy.
However,
also
plays
an
essential
role
normal
cells,
such
as
vascular
lymphatic
endothelial
cells.
cancer
specificity
or
selectivity
required
to
reduce
adverse
effects
on
Here,
we
developed
anti-PODXL
cancer-specific
mAb
(CasMab),
PcMab-6
(IgG1,
kappa),
by
immunizing
mice
soluble
ectodomain
derived
from
glioblastoma
LN229
cell.
reacted
PODXL-positive
cells
but
not
PODXL-knockout
flow
cytometry.
Importantly,
recognized
pancreatic
ductal
adenocarcinoma
(PDAC)
cell
lines
(MIA
PaCa-2,
Capan-2,
PK-45H)
did
react
(LECs).
In
contrast,
one
non-CasMabs,
PcMab-47,
showed
high
reactivity
both
PDAC
LECs.
Next,
engineered
into
mouse
IgG2a-type
(PcMab-6-mG2a)
humanized
IgG1-type
(humPcMab-6)
further
produced
core
fucose-deficient
types
(PcMab-6-mG2a-f
humPcMab-6-f,
respectively)
potentiate
antibody-dependent
cellular
cytotoxicity
(ADCC).
Both
PcMab-6-mG2a-f
humPcMab-6-f
exerted
ADCC
complement-dependent
presence
effector
complements,
respectively.
xenograft
model,
exhibited
potent
antitumor
effects.
These
results
indicated
that
could
apply
antibody-based
therapy
against
PODXL-expressing
cancers.
Langenbeck s Archives of Surgery,
Journal Year:
2024,
Volume and Issue:
409(1)
Published: Oct. 19, 2024
Abstract
Purpose
Pancreatic
ductal
adenocarcinoma
(PDAC)
can
be
classified
into
distinct
histological
subtypes
based
on
the
WHO
nomenclature.
The
aim
of
this
study
was
to
compare
prognosis
conventional
PDAC
(cPDAC)
against
other
variants
at
population
level.
Methods
Surveillance,
Epidemiology
and
End
Results
(SEER)
database
used
identify
patients
with
microscopically
confirmed
PDAC.
These
were
divided
9
subgroups.
Overall
survival
assessed
using
Kaplan-Meier
method
Cox
regression
models
stratified
by
tumor
histology.
A
total
159,548
identified,
whom
95.9%
had
cPDAC,
followed
colloid
carcinoma
(CC)
(2.6%),
adenosquamous
(ASqC)
(0.8%),
signet
ring
cell
(SRCC)
(0.5%),
undifferentiated
(UC)
(0.1%),
osteoclast-like
giant
cells
(UCOGC)
hepatoid
(HC)
(0.01%),
medullary
pancreas
(MCP)
(0.006%)
pancreatic
rhabdoid
phenotype
(PUCR)
(0.003%).
curves
showed
that
PUCR
worst
(median
survival:
2
months;
5-year
0%),
while
MCP
best
41
33.3%).
In
a
multivariable
model,
several
(i.e.
CC,
ASqC,
SRCC,
UCOGC)
identified
as
independent
predictors
overall
when
compared
cPDAC.
Conclusion
is
heterogenous
disease
accurate
identification
variant
histology
important
for
risk
stratification,
these
may
have
different
biological
behavior.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 15, 2025
Abstract
One
of
the
aggressive
and
lethal
cancers,
pancreatic
ductal
adenocarcinoma
(PDAC)
is
characterised
by
poor
prognosis
resistance
to
conventional
treatments.
Moreover,
tumor
immune
microenvironment
(TIME)
plays
a
crucial
role
in
progression
therapeutic
PDAC.
It
associated
with
T-cells
exhaustion,
leading
progressive
loss
T-cell
functions
impaired
ability
kill
cells.
Therefore,
this
study
employed
single
cell
RNA
sequencing
(scRNA-seq)
analysis
identified
upregulated
genes
cancer
cells
two
groups
(“cancer
cells_vs_all-PDAC”
“cancer-PDAC_vs_all-normal”),
while
T-cells,
including
CD8+
NKT-like
cells,
memory
CD4+
naive
were
between
conditions
(PDAC_vs_Normal)
their
respective
types.
Subsequently,
common
unique
markers
from
both
identified,
resulting
three
sub-groups
(common
groups,
“cancer
“cancer-PDAC_vs_all-normal”
group).
top-10
enriched
Reactome
pathways
unique)
identified;
implicated
those
selected
perform
PPI
analysis,
eventually
revealing
hub-genes
each
group
(
GAPDH,
AKT1,
EGFR,
CS,
RHOA,
TPI1,
SDHA,
TFRC,
FASN,
HIF1A,
H4C6,
MYC,
H3C12,
DDX21,
USP7,
RFC4,
APEX1,
CDK9,
H2BC9,
NOP2,
FN1,
COL1A1,
COL1A2,
COL3A1,
COL5A2,
COL6A1,
COL5A1,
BGN,
COL6A2,
FBN1
)
ACTB,
CD4,
CTNNB1,
H3-3B,
HSP90AA1,
HSP90AB1,
HSPA8,
IFNG,
ITGB1,
JUN,
MAPK3,
MMP9,
NFKB1,
TP53,
UBB,
UBC
).
Furthermore,
gene
expression
validation
was
performed
using
GEPIA2
TISCH2,
overall
survival
GEPIA2.
Conclusively,
unravelled
total
16
novel
UBC,
H3-3B
indicating
that
these
might
be
rendering
growth,
proliferation,
This
provides
groundwork
for
future
research
into
landscape
PDAC,
particularly
exhaustion.
However,
further
clinical
studies
are
needed
validate
as
potential
targets
PDAC
patients.
PLoS ONE,
Journal Year:
2025,
Volume and Issue:
20(1), P. e0313738 - e0313738
Published: Jan. 27, 2025
Pancreatic
Ductal
Adenocarcinoma
(PDAC)
is
a
devastating
disease
with
poor
clinical
outcomes,
which
mainly
because
of
delayed
detection,
resistance
to
chemotherapy,
and
lack
specific
targeted
therapies.
The
disease’s
development
involves
complex
interactions
among
immunological,
genetic,
environmental
factors,
yet
its
molecular
mechanism
remains
elusive.
A
major
challenge
in
understanding
PDAC
etiology
lies
unraveling
the
genetic
profiling
that
governs
network.
To
address
this,
we
examined
gene
expression
profile
compared
it
healthy
controls,
identifying
differentially
expressed
genes
(DEGs).
These
DEGs
formed
basis
for
constructing
protein
interaction
network,
their
network
topological
properties
were
calculated.
It
was
found
self-organizes
into
scale-free
fractal
state
weakly
hierarchical
organization.
Newman
Girvan’s
algorithm
(leading
eigenvector
(LEV)
method)
community
detection
enumerated
four
communities
leading
at
least
one
motif
defined
by
G
(3,3).
Our
analysis
revealed
33
key
regulators
predominantly
enriched
neuroactive
ligand-receptor
interaction,
Cell
adhesion
molecules,
Leukocyte
transendothelial
migration
pathways;
positive
regulation
cell
proliferation,
kinase
B
signaling
biological
functions;
G-protein
beta-subunit
binding,
receptor
binding
functions
etc.
Transcription
Factor
mi-RNA
obtained.
Recognizing
therapeutic
potential
biomarker
significance
Key
regulators,
also
identified
approved
drugs
genes.
However,
imperative
subject
experimental
validation
establish
efficacy
context
PDAC.
Journal of Proteome Research,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 19, 2025
Pancreatic
ductal
adenocarcinoma
(PDAC)
is
among
the
deadliest
diseases,
despite
advancements
in
elucidating
tumor
biology
and
developing
novel
therapeutics.
Importantly,
lipids,
such
as
phospholipids,
are
crucial
for
survival
proliferation
of
cells.
However,
impact
chemotherapeutic
drugs
on
phospholipid
metabolism
PDAC
remains
poorly
understood.
Gemcitabine
(a
nucleoside
analogue)
a
first-line
drug
treatment,
but
its
clinical
effectiveness
limited
by
multiple
factors.
Herein,
we
employed
matrix-assisted
laser
desorption/ionization
mass
spectrometry
imaging
(MALDI
MSI)
proteomics
approaches
to
investigate
gemcitabine-induced
lipid
alterations
mouse
pancreatic
tumors
following
gemcitabine
treatment
(n
=
3,
control
tumors;
n
gemcitabine-treated
tumors).
From
MALDI
MSI
experiments,
observed
elevated
levels
several
phosphatidylcholines
(PCs),
PC(30:0),
PC(32:3),
PC(34:2),
PC(36:1),
PC(36:2),
tissues
compared
control.
In
addition,
data
revealed
differential
abundance
phospholipid-binding
proteins
response
treatments.
Furthermore,
endoplasmic
reticulum
stress-related
exhibited
high
expression
tissues.
Altogether,
our
provide
important
insights
into
PC
treatment.
targeting
altered
during
therapy
might
help
combat
cancer.
Journal of Anatolian Environmental and Animal Sciences,
Journal Year:
2025,
Volume and Issue:
10(2), P. 167 - 173
Published: March 15, 2025
Cancer
is
the
second
leading
cause
of
death
worldwide,
after
cardiovascular
disease.
It
can
affect
any
part
body
and
spread
to
other
organs.
Pancreatic
cancer
a
tough
disease
diagnose
treat.
fourteenth
most
common
seventh
deadliest
worldwide.
New
technology
innovative
methods,
combined
with
range
therapeutic
agents,
have
led
promising
new
anticancer
treatments.
The
presence
various
bioactive
components
in
secretions
medicinal
leeches
has
prompted
re-evaluation
these
organisms
as
popular
method
traditional
medicine.
In
this
study,
effect
potential
Lyophilised
leech
secretion
on
pancreatic
cell
line
(MIA
PaCa-2)
was
investigated
using
XTT
assay.
A
viability
test
conducted
ascertain
degree
cytotoxicity
following
administration
varying
concentrations
lines
over
period
24,
48,
72
hours.
percentage
cells
determined
at
each
concentration.
doses
were
adjusted
dilution
procedures
ratios
75
µg/ml,
150
300
600
1200
µg/ml.
IC50
value
24th
hour:
484.48
µg/ml;
48th
330.92
72nd
542,75
observed
that
Hirudo
verbana
not
linear.
µg/ml
extracts
had
cytotoxic
anti-proliferative
effects.
These
results
indicate
saliva
extract
anti
proliferative
effects
may
role
developing
drugs.
Pancreatic
cancer
exhibits
a
poor
prognosis
due
to
the
lack
of
early
diagnostic
biomarkers
and
resistance
conventional
chemotherapy.
CD44
has
been
known
as
stem
cell
marker,
plays
tumor
promotion
drug
in
various
cancers.
Especially,
splicing
variants
are
overexpressed
many
carcinomas,
play
essential
roles
stemness,
invasiveness
or
metastasis,
treatments.
Therefore,
understanding
each
variant
(CD44v)
function
distribution
carcinomas
is
for
establishment
CD44-targeting
therapy.
In
this
study,
we
immunized
mice
with
CD44v3–10-overexpressed
Chinese
hamster
ovary-K1
(CHO)
cells,
established
anti-CD44
monoclonal
antibodies
(mAbs).
One
clones
(C44Mab-3;
IgG1,
kappa)
recognized
peptides
5-encoded
region,
indicating
that
C44Mab-3
specific
mAb
CD44v5.
Moreover,
reacted
CHO/CD44v3–10
cells
pancreatic
lines
(PK-1
PK-8)
by
flow
cytometry.
The
apparent
KD
PK-1
was
7.1
×
10−10
M
1.9
10−9
M,
respectively.
could
detect
exogenous
CD44v3–10
endogenous
CD44v5
western
blotting,
stained
formalin-fixed
paraffin-embedded
but
not
normal
epithelial
immunohistochemistry.
These
results
indicate
useful
detecting
applications,
expected
application
diagnosis
Journal of Clinical Medicine,
Journal Year:
2023,
Volume and Issue:
12(20), P. 6461 - 6461
Published: Oct. 11, 2023
Previously
considered
inoperable
patients
(borderline
resectable,
locally
advanced,
synchronous
oligometastatic
or
metachronous
pancreatic
adenocarcinoma
(PDAC))
are
starting
to
become
resectable
thanks
advances
in
chemo/radiotherapy
and
the
reduction
operative
mortality.This
narrative
review
presents
a
chosen
literature
selection,
giving
picture
of
current
state
treatment
these
patients.Neoadjuvant
therapy
(NAT)
is
generally
recognized
as
choice
before
surgery.
However,
despite
increased
efficacy,
best
pathological
response
still
limited
10.9-27.9%
patients.
There
data
on
selection
possible
NAT
responders
how
diagnose
non-responders
early.
Multidetector
computed
tomography
has
high
sensitivity
low
specificity
evaluating
resectability
after
NAT,
limiting
resection
rate
Ca
19-9
Positron
emission
promising
results.
The
prediction
early
recurrence
radical
metastatic
PDAC,
thus
identifying
with
poor
prognosis
saving
them
from
little
benefit,
ongoing,
although
some
available.In
conclusion,
high-level
evidence
demonstrating
benefit
surgical
such
lacking
should
not
be
performed
outside
high-volume
centers
interdisciplinary
teams
surgeons
oncologists.