Frontiers in Oncology,
Год журнала:
2024,
Номер
14
Опубликована: Дек. 3, 2024
Tumor
angiogenesis
is
a
characteristics
of
malignant
cancer
progression
that
facilitates
cell
growth,
diffusion
and
metastasis,
has
an
indispensable
role
in
development.
N6-methyladenosine
(m6A)
among
the
most
prevalent
internal
modifications
eukaryotic
RNAs,
considerable
influence
on
RNA
metabolism,
including
its
transcription,
splicing,
localization,
translation,
recognition,
degradation.
The
m6A
modification
generated
by
methyltransferases
("writers"),
removed
demethylases
("erasers"),
recognized
m6A-binding
proteins
("readers").
There
accumulating
evidence
abnormal
involved
pathogenesis
multiple
diseases,
cancers,
promotes
occurrence,
development,
through
impact
oncoprotein
expression.
Furthermore,
increasing
studies
have
demonstrated
can
cancers
pathways
to
regulate
processes.
In
this
review,
we
elaborate
tumor
angiogenesis-related
molecules
detail,
providing
insights
into
interactions
between
angiogenesis.
Moreover,
describe
how
targeting
combination
with
anti-angiogenesis
drugs
expected
be
promising
anti-tumor
treatment
strategy,
potential
value
for
addressing
challenge
drug
resistance.
Journal of Cellular and Molecular Medicine,
Год журнала:
2024,
Номер
28(4)
Опубликована: Фев. 1, 2024
Periodontal
disease
is
a
risk
factor
for
head
and
neck
squamous
cell
carcinoma
(HNSCC),
Porphyromonas
gingivalis,
major
periodontal
pathogen,
has
been
identified
as
specific
potentially
independent
microbial
that
increases
the
of
cancer
mortality.
Gene
expression
in
HNSCC
due
to
P.
gingivalis
infection
how
changes
gene
affect
prognosis
patients
are
not
clarified.
When
was
cultured
with
cells,
it
efficiently
adhered
these
cells
enhanced
their
invasive
ability.
A
transcriptome
analysis
-infected
showed
genes
related
migration,
including
CCL20,
CITED2,
CTGF,
C8orf44-SGK3,
DUSP10,
EGR3,
FUZ,
HBEGF,
IL1B,
IL24,
JUN,
PLAU,
PTGS2,
P2RY1,
SEMA7A,
SGK1
SIX2,
were
highly
up-
or
down-regulated.
The
up-regulated
examined
using
data
obtained
from
Cancer
Genome
Atlas
(TCGA)
database,
5
genes,
found
be
higher
tissue
than
solid
normal
tissue.
An
protein-protein
interactions
revealed
formed
dense
network.
Cox
regression
high
PLAU
levels
associated
poor
TCGA-HNSCC.
Furthermore,
prognostic
impact
correlated
tumour
size
presence
absence
lymph
node
metastasis.
Collectively,
results
suggest
potential
molecular
marker
patients.
Further
vivo
vitro
studies
needed
verify
findings
this
study.
Technology in Cancer Research & Treatment,
Год журнала:
2024,
Номер
23
Опубликована: Янв. 1, 2024
Objectives
Pancreatic
cancer
presents
a
formidable
challenge
with
its
aggressive
nature
and
dismal
prognosis,
often
hampered
by
elusive
early
symptoms.
The
tumor
microenvironment
(TME)
emerges
as
pivotal
player
in
pancreatic
progression
treatment
responses,
characterized
notably
hypoxia
immunosuppression.
In
this
study,
we
aimed
to
identify
hypoxia-related
genes
develop
prognostic
model
for
leveraging
these
genes.
Methods
Through
analysis
of
gene
expression
data
from
Cancer
Genome
Atlas
(TCGA)
subsequent
GO/KEGG
enrichment
analysis,
pathways
were
identified.
We
constructed
using
lasso
regression
validated
it
an
independent
dataset.
Results
Our
results
showed
that
levels
PLAU,
SLC2A1,
CA9
exhibited
significant
associations
prognosis
cancer.
model,
built
upon
genes,
displayed
robust
predictive
accuracy
was
Furthermore,
found
correlation
between
the
risk
score
clinical
parameters
patients.
At
same
time,
also
explored
relationship
established
immune
at
single-cell
level.
RT-qPCR
notable
differences
pathway-related
normal
PANC-1
hypoxic-treated
cells.
Conclusion
study
provides
insights
into
role
hypoxic
offers
promising
tool
application.
World Journal of Surgical Oncology,
Год журнала:
2024,
Номер
22(1)
Опубликована: Июль 5, 2024
Abstract
This
study
investigates
the
genetic
factors
contributing
to
disparity
in
prostate
cancer
incidence
and
progression
among
African
American
men
(AAM)
compared
European
(EAM).
The
research
focuses
on
employing
Weighted
Gene
Co-expression
Network
Analysis
(WGCNA)
public
microarray
data
obtained
from
patients.
employed
WGCNA
identify
clusters
of
genes
with
correlated
expression
patterns,
which
were
then
analyzed
for
their
connection
population
backgrounds.
Additionally,
pathway
enrichment
analysis
was
conducted
understand
significance
identified
gene
modules
pathways.
Least
Absolute
Shrinkage
Selection
Operator
(LASSO)
Correlation-based
Feature
(CFS)
methods
utilized
selection
biomarker
genes.
results
revealed
353
differentially
expressed
(DEGs)
between
AAM
EAM.
Six
significant
through
WGCNA,
showing
varying
degrees
correlation
cancer.
LASSO
CFS
pinpointed
critical
genes,
as
well
six
common
both
approaches,
are
indicative
vital
role
disease.
XGBoost
classifier
validated
these
findings,
achieving
satisfactory
prediction
accuracy.
Genes
such
APRT,
CCL2,
BEX2,
MGC26963,
PLAU
key
significantly
associated
progression.
In
conclusion,
underlines
importance
incorporating
EAM
diversity
genomic
studies,
particularly
research.
addition,
highlights
effectiveness
integrating
machine
learning
techniques
a
robust
methodology
identifying
International Journal of Molecular Sciences,
Год журнала:
2025,
Номер
26(2), С. 675 - 675
Опубликована: Янв. 15, 2025
The
role
of
the
plasminogen
activation
system
is
to
regulate
activity
extracellular
protease
plasmin.
It
comprises
urokinase
activator
(uPA),
a
specific
which
activates
plasminogen,
its
inhibitor
PAI1,
and
receptor,
uPAR,
localizes
activity.
involved
in
tissue
remodeling
through
matrix
degradation,
therefore
participates
numerous
physiological
pathological
processes,
make
it
potential
biomarker.
To
investigate
these
molecules
cellular
we
cloned
human
uPA,
uPAR
overexpressed
them
two
cell
lines,
glioblastoma
line
A1235
transformed
embryonal
kidney
cells
HEK
293.
We
analyzed
expression
elements
on
protein
RNA
level
by
Western
blot
analysis
RTqPCR.
Cell
proliferation
was
followed
up
counting,
migration
invasion
wound-healing
transwell
assays,
respectively,
adhesion
dispersal
spheroid
formation.
transfected
with
sequence
had
increased
uPA
expression,
while
PAI1-transfected
decreased
activity,
PAI1
migration.
293
expressing
PAI
formed
only
small
spheroids.
effects
depended
their
interactions
each
other
microenvironment,
as
well
cell-type-specific
signaling.
Scientific Reports,
Год журнала:
2023,
Номер
13(1)
Опубликована: Июнь 5, 2023
Abstract
Pancreatic
cancer
has
one
of
the
worst
prognoses
in
world,
which
suggests
that
tumor
microenvironment,
is
characterized
by
hypoxia
and
immunosuppression,
plays
a
significant
role
prognosis
progression
pancreatic
cancer.
We
identified
PLAU,
LDHA,
PKM
as
key
genes
involved
through
GO/KEGG
enrichment
related
pathways
cox
regression,
established
prognostic
models,
studied
their
relationship
to
immune
invasion
bioinformatics
using
R
online
databases.
verified
high
expression
cells
qPCR
vitro,
we
also
discovered
hypoxic
differed
from
normal
cultured
cells.
Finally,
our
model
accurately
predicted
postrain
patients
with
infiltration.