The Innovation Medicine,
Journal Year:
2025,
Volume and Issue:
unknown, P. 100125 - 100125
Published: Jan. 1, 2025
<p>A
reliable
system
for
dynamic
prognostication
and
management
of
hepatocellular
carcinoma
(HCC)
is
urgently
needed
but
currently
unavailable.
In
our
previous
work,
we
developed
a
machine
learning
algorithm
termed
"Survival
Path"
(raw-SP)
to
enhance
with
longitudinal
survival
data.
However,
the
model
was
limited
intermediate
stage
HCC
patients,
it
faced
risk
overfitting
due
path
proliferation.
this
study,
novel
framework
incorporating
nodal
fusion
techniques
mitigate
overfitting,
expanded
model's
applicability
all
stages
patients.
A
post-fusion
map
(fusion-SP)
containing
14
different
paths
built,
which
demonstrated
superior
or
non-inferior
accuracy
in
prognosis
prediction
patients
compared
raw-SP,
as
well
traditional
staging
systems
within
first
15
months
since
initial
diagnosis
large-scale
derivation,
internal
external
validation
cohorts.
Subgroup
analysis
showed
fusion-SP
performance
other
models
among
BCLC
C
disease
tumor
burden
above
up-to-seven
criteria.
Under
fusion-SP,
distinct
optimal
combination
treatment
strategies
advanced-stage
at
key
nodes
were
uncovered,
where
frameworks
fall
short.
The
could
serve
robust
tool
facilitating
planning
HCC.
Moreover,
streamlined
methodology
holds
potential
be
applied
across
various
types
cancers.</p>
Frontiers in Immunology,
Journal Year:
2024,
Volume and Issue:
15
Published: Aug. 5, 2024
Hepatocellular
carcinoma
(HCC)
is
one
of
the
most
common
cancers
and
third
leading
cause
death
worldwide.
surgery,
transarterial
chemoembolization
(TACE),
systemic
therapy,
local
ablation
radiotherapy,
targeted
drug
therapy
with
agents
such
as
sorafenib.
However,
tumor
microenvironment
liver
cancer
has
a
strong
immunosuppressive
effect.
Therefore,
new
treatments
for
are
still
necessary.
Immune
checkpoint
molecules,
programmed
death-1
(PD-1),
death-ligand
1
(PD-L1),
cytotoxic
T
lymphocyte
antigen-4
(CTLA-4),
along
high
levels
cytokines,
induce
cell
inhibition
key
mechanisms
immune
escape
in
HCC.
Recently,
immunotherapy
based
on
inhibitors
(ICIs)
monotherapy
or
combination
tyrosine
kinase
inhibitors,
anti-angiogenesis
drugs,
chemotherapy
agents,
topical
therapies
offered
great
promise
treatment
cancer.
In
this
review,
we
discuss
latest
advances
ICIs
combined
drugs
(targeted-immune
combination)
other
targeted-immune
regimens
patients
advanced
HCC
(aHCC)
unresectable
(uHCC),
provide
an
outlook
future
prospects.
The
literature
reviewed
spans
last
five
years
includes
studies
identified
using
keywords
"hepatocellular
carcinoma,"
"immune
inhibitors,"
"targeted
therapy,"
"combination
"immunotherapy".
Cancers,
Journal Year:
2025,
Volume and Issue:
17(2), P. 236 - 236
Published: Jan. 13, 2025
Hepatocellular
carcinoma
(HCC)
is
a
leading
cause
of
cancer-related
mortality
worldwide,
and,
with
only
15-20%
HCC
patients
being
suitable
for
potentially
curative
treatments,
the
vast
majority
ultimately
require
systemic
therapy.
For
decades,
choice
effective
therapy
remained
sparse.
In
recent
years,
after
combination
atezolizumab
and
bevacizumab
demonstrated
superior
overall
survival
over
first-line
standard,
sorafenib,
there
has
been
major
therapeutic
paradigm
shift
to
immunotherapy-based
regimens
HCC.
While
representing
great
leap
forward
treatment
this
cancer,
reality
that
less
than
one-third
achieve
an
objective
response
immune
checkpoint
inhibitor-based
therapy,
so
remains
significant
clinical
need
further
optimization.
review,
we
provide
overview
current
landscape
immunotherapy
unresectable
delve
into
tumor
intrinsic
extrinsic
mechanisms
resistance
established
immunotherapies
focus
on
novel
targets
strong
translational
potential.
Following
this,
spotlight
emerging
approaches
notable
trials
aiming
optimize
efficacy
in
include
inhibitors,
microenvironment
modulators,
targeted
delivery
systems,
locoregional
interventions.
Nano Letters,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 24, 2025
Nanomedicines
capable
of
delivering
multiple
drugs
have
become
essential
in
combination
therapy.
However,
the
challenges
low
drug
loading
capacity
(DLC)
and
difficulties
administering
dosages
between
different
significantly
limit
antitumor
efficacy.
In
this
study,
a
nanomedicine
constructed
through
rational
prodrug
nanocarrier
design
was
reported
for
cancer
Initially,
phenylborate
ester
(PBE)
group-modified
paclitaxel
(PTX)
(PTX-PBE)
synthesized
could
self-assemble
water.
Subsequently,
combretastatin
A4
(CA4)
polymer
conjugates,
mPEG-PCA4
(PCA4),
were
as
nanocarriers
to
facilitate
exceptionally
high
PTX-PBE
precisely
controlled
manner.
Both
vitro
vivo
experiments
demonstrated
that
PCA4
nanoparticles
(PCA4/PTX-PBE
NPs)
exhibited
potent
efficacy
favorable
biocompatibility.
Our
approach
provides
straightforward,
efficient,
controllable
strategy
co-delivery
pharmaceuticals
clinical