Signal Transduction and Targeted Therapy,
Journal Year:
2020,
Volume and Issue:
5(1)
Published: Dec. 26, 2020
Abstract
Hepatocyte
nuclear
factor
3γ
(HNF3γ)
is
a
hepatocyte
factor,
but
its
role
and
clinical
significance
in
hepatocellular
carcinoma
(HCC)
remain
unclear.
Herein,
we
report
that
HNF3γ
expression
downregulated
patient
HCC
inversely
correlated
with
malignancy
survival.
Moreover,
our
data
suggested
the
reduction
could
be
mediated
by
METTL14-dependent
m6A
methylation
of
mRNA.
was
increased
during
hepatic
differentiation
decreased
dedifferentiated
cells.
Interestingly,
delivery
promoted
not
only
cells
also
liver
CSCs,
which
led
to
suppression
growth.
Mechanistic
analysis
an
HNF3γ-centered
regulatory
network
includes
essential
differentiation-associated
transcription
factors
functional
molecules,
synergistically
facilitate
cell
differentiation.
More
importantly,
enforced
sensitized
sorafenib-induced
growth
inhibition
apoptosis
through
transactivation
OATP1B1
OATP1B3
expression,
are
major
membrane
transporters
for
sorafenib
uptake.
Clinical
investigation
showed
patient-derived
xenografts
high
exhibited
response
patients
levels
benefited
from
therapy.
Together,
these
results
suggest
plays
may
serve
as
therapeutic
target
predictor
benefit
patients.
Signal Transduction and Targeted Therapy,
Journal Year:
2020,
Volume and Issue:
5(1)
Published: Oct. 7, 2020
Abstract
Resistance
to
cancer
therapy
is
a
major
barrier
management.
Conventional
views
have
proposed
that
acquisition
of
resistance
may
result
from
genetic
mutations.
However,
accumulating
evidence
implicates
key
role
non-mutational
mechanisms
underlying
drug
tolerance,
the
latter
which
focus
will
be
discussed
here.
Such
processes
are
largely
driven
by
tumor
cell
plasticity,
renders
cells
insusceptible
drug-targeted
pathway,
thereby
facilitating
survival
and
growth.
The
concept
plasticity
highlights
significance
re-activation
developmental
programs
closely
correlated
with
epithelial–mesenchymal
transition,
properties
stem
cells,
trans-differentiation
potential
during
exposure.
From
observations
in
various
cancers,
this
provides
an
opportunity
for
investigating
nature
anticancer
resistance.
Over
years,
our
understanding
emerging
phenotype
switching
modifying
therapeutic
response
has
considerably
increased.
This
expanded
knowledge
contributes
developing
novel
strategies
or
combination
regimens
using
available
drugs,
likely
improve
patient
outcomes
clinical
practice.
FEBS Journal,
Journal Year:
2020,
Volume and Issue:
287(15), P. 3110 - 3140
Published: April 7, 2020
Sumoylation
is
an
essential
post‐translational
modification
intimately
involved
in
a
diverse
range
of
eukaryotic
cellular
mechanisms.
Small
ubiquitin‐like
modifier
(SUMO)
protein
isoforms
can
be
reversibly
linked
to
lysine
residues
that
reside
within
specific
motifs
on
thousands
target
substrates,
leading
modulations
stability,
solubility,
localization,
and
interactor
profile.
Since
its
initial
discovery
almost
25
years
ago,
SUMO
has
been
described
as
key
regulator
genomic
cell
proliferation,
infection
among
other
processes.
In
this
review,
we
trace
the
exciting
developments
history
critical
modifier,
highlighting
SUMO’s
roles
pathogenesis
well
potential
for
development
targeted
therapies
numerous
diseases.
Signal Transduction and Targeted Therapy,
Journal Year:
2024,
Volume and Issue:
9(1)
Published: May 20, 2024
Abstract
Tumor
biomarkers,
the
substances
which
are
produced
by
tumors
or
body’s
responses
to
during
tumorigenesis
and
progression,
have
been
demonstrated
possess
critical
encouraging
value
in
screening
early
diagnosis,
prognosis
prediction,
recurrence
detection,
therapeutic
efficacy
monitoring
of
cancers.
Over
past
decades,
continuous
progress
has
made
exploring
discovering
novel,
sensitive,
specific,
accurate
tumor
significantly
promoted
personalized
medicine
improved
outcomes
cancer
patients,
especially
advances
molecular
biology
technologies
developed
for
detection
biomarkers.
Herein,
we
summarize
discovery
development
including
history
conventional
innovative
used
biomarker
classification
biomarkers
based
on
tissue
origins,
application
clinical
management.
In
particular,
highlight
recent
advancements
biomarker-based
anticancer-targeted
therapies
emerging
as
breakthroughs
promising
strategies.
We
also
discuss
limitations
challenges
that
need
be
addressed
provide
insights
perspectives
turn
into
opportunities
this
field.
Collectively,
multiple
emphasized
review
may
guidance
precision
medicine,
broaden
horizons
future
research
directions,
expedite
patients
according
their
rather
than
organs
origin.
Cancer Discovery,
Journal Year:
2023,
Volume and Issue:
13(8), P. 1771 - 1788
Published: July 20, 2023
Abstract
Lineage
plasticity,
a
process
whereby
cells
change
their
phenotype
to
take
on
different
molecular
and/or
histologic
identity,
is
key
driver
of
cancer
progression
and
therapy
resistance.
Although
underlying
genetic
changes
within
the
tumor
can
enhance
lineage
it
predominantly
dynamic
controlled
by
transcriptional
epigenetic
dysregulation.
This
review
explores
regulators
plasticity
interplay
with
other
features
malignancy,
such
as
dysregulated
metabolism,
microenvironment,
immune
evasion.
We
also
discuss
strategies
for
detection
treatment
highly
plastic
tumors.
Significance:
hallmark
critical
facilitator
oncogenic
metastasis,
resistance,
It
essential
that
mechanisms
are
elucidated
enable
development
effectively
target
this
phenomenon.
In
review,
we
describe
cell
in
highlighting
therapeutic
approaches
may
be
harnessed
patient
benefit.
Applied Mathematical Modelling,
Journal Year:
2024,
Volume and Issue:
129, P. 340 - 389
Published: Feb. 4, 2024
Acute
myeloid
leukemia
(AML)
is
a
paradigmatic
example
of
stem
cell-driven
cancer.
AML
belongs
to
the
most
aggressive
malignancies
and
has
poor
prognosis.
A
hallmark
expansion
malignant
cells
in
bone
marrow
out-competition
healthy
blood-forming
(hematopoietic)
cells.
In
present
study,
we
develop
nonlinear
ordinary
differential
equation
model
study
impact
feedback
configurations
kinetic
cell
properties
such
as
symmetric
self-renewal
probability,
differentiation
asymmetric
division
proliferation
rate,
or
death
rate
on
leukemic
population
dynamics.
The
accounts
for
two
types
(mature
immature)
(cells
that
can
divide
have
lost
ability
divide).
considered
here
generalization
previous
models
contains
them
special
case.
We
consider
multiple
differ
their
self-renewal,
differentiation,
probabilities.
Linearized
stability
analysis
performed
derive
necessary
sufficient
conditions
extinction
our
analysis,
distinguish
three
steady
states,
namely
purely
states
(presence
absence
cells),
composite
where
coexist.
Steady-state
reveals
under
biologically
plausible
assumptions
are
unique.
If
exist,
they
non-unique
form
one-dimensional
manifold.
state
locally
asymptotically
stable
if
only
unstable.
analytical
results
illustrated
by
numerical
simulations.
Our
suggest
slight
increase
probability
decrease
compared
destabilization
homeostatic
equilibrium
This
finding
line
with
arrest
observed
Changes
these
parameters
opposite
direction
re-establish
population.
furthermore
suggests
configuration
loops
impacts
regeneration,
growth
cells,
burden
late
stage
leukemias
decline
patients.