Gemcitabine Alters Phosphatidylcholine Metabolism in Mouse Pancreatic Tumors
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.
Language: Английский
dia-PASEF Proteomics of Tumor and Stroma LMD Enriched from Archived HNSCC Samples
ACS Omega,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 25, 2025
We
employed
laser
microdissection
to
selectively
harvest
histology-resolved
tumors
and
stroma
from
formalin-fixed,
paraffin-embedded
head
neck
squamous
cell
carcinoma
(HNSCC)
tissues.
Peptide
digests
the
LMD-enriched
HNSCC
tissue
were
analyzed
by
quantitative
mass-spectrometry-based
proteomics
using
a
data
independent
analysis
approach.
In
paired
samples,
excellent
proteome
coverage
was
achieved,
having
quantified
6668
proteins
with
median
coefficient
of
variation
under
10%.
Significant
differences
in
relevant
functional
pathways
between
tumor
regions
observed.
Extracellular
matrix
(ECM)
identified
as
major
component
enriched
stroma,
including
many
cancer-associated
fibroblast
signature
this
compartment.
demonstrate
potential
for
comparative
deep
very
low
starting
input
scalable
format.
Correlating
such
results
clinical
features
or
disease
progression
will
likely
enable
identification
novel
targets
classification
interventions.
Language: Английский
The glycosylation landscape of prostate cancer tissues and biofluids
Advances in cancer research,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 30
Published: Jan. 1, 2024
Language: Английский
dia-PASEF Proteomics of Tumor and Stroma LMD Enriched from Archived HNSCC Samples
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 10, 2024
We
employed
laser
microdissection
to
selectively
harvest
tumor
cells
and
stroma
from
the
microenvironment
of
formalin-fixed,
paraffin-embedded
head
neck
squamous
cell
carcinoma
(HNSCC)
tissues.
The
captured
HNSCC
tissue
fractions
were
analyzed
by
quantitative
mass
spectrometry-based
proteomics
using
a
data
independent
analysis
approach.
In
paired
samples,
we
achieved
excellent
proteome
coverage
having
quantified
6,668
proteins
with
median
coefficient
variation
under
10%.
observed
significant
differences
in
relevant
functional
pathways
between
spatially
resolved
regions.
Our
results
identified
extracellular
matrix
(ECM)
as
major
component
enriched
stroma,
including
many
cancer
associated
fibroblast
signature
this
compartment.
demonstrate
potential
for
comparative
deep
very
low
starting
input
scalable
format
that
is
useful
decipher
alterations
stromal
microenvironment.
Correlating
such
clinical
features
or
disease
progression
will
likely
enable
identification
novel
targets
classification
interventions.
Language: Английский