Cancers,
Journal Year:
2024,
Volume and Issue:
16(17), P. 3076 - 3076
Published: Sept. 4, 2024
The
purpose
of
this
study
was
to
conduct
a
systematic
review
and
meta-analysis
case
reports
presenting
HCC
spread
the
diaphragm
muscle
determine
possible
risk
factors
for
condition.
An
extensive
literature
search
performed
using
following
electronic
databases:
MEDLINE,
CINAHL,
ScienceDirect,
Google
Scholar,
DOAJ.
A
total
18
articles
describing
27
hepatocellular
carcinoma
patients
were
included
in
review.
presence
cells
superior
liver
segment
is
strongly
associated
with
metastases
diaphragm.
Among
two
types
involvement
by
cells,
infiltration
occurs
much
more
frequently
than
adhesion.
However,
an
nodule
8th
higher
number
segments
involved
predispose
Hepatitis
B
factor
recurrent
HCC.
tumor
diameter
not
muscle.
We
did
find
specific
symptoms
reported
that
could
indicate
metastasis
hepatitis
localization
segments,
especially
segment,
should
be
take
into
consideration
diagnostic
process.
World Journal of Gastroenterology,
Journal Year:
2025,
Volume and Issue:
31(10)
Published: Feb. 26, 2025
The
tumor
microenvironment
(TME)
plays
a
critical
role
in
the
development
and
treatment
of
liver
cancer,
which
ranks
sixth
incidence
third
mortality
worldwide,
according
to
“Global
Cancer
Statistics
2022”.
Hepatocellular
carcinoma
(HCC),
most
common
form
is
heavily
influenced
by
TME,
affects
growth,
invasion,
metastasis,
response
various
treatments.
Despite
advancements
surgery,
transplantation,
targeted
therapies,
immunotherapy,
complexity
TME
often
limits
efficacy,
especially
advanced-stage
HCC
cases.
consists
dynamic
interaction
between
cells,
immune
fibroblasts,
blood
vessels,
signaling
molecules,
all
contribute
cancer
progression
therapy
resistance.
Assessing
essential
for
designing
effective,
personalized
treatments
improving
patient
outcomes.
Recent
research
highlights
value
imaging
technologies
as
non-invasive
tools
evaluate
offering
new
possibilities
more
therapies
better
prognosis
monitoring
patients.
Hepatoma Research,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 4, 2025
Hepatocellular
carcinoma
(HCC)
is
the
most
prevalent
primary
liver
cancer
and
a
leading
cause
of
cancer-related
mortality
globally.
The
heterogeneity
HCC
complicates
prognostic,
management,
predictive
strategies
across
different
patient
populations.
Recent
advancements
in
artificial
intelligence
(AI)
machine
learning
(ML)
offer
transformative
opportunities
to
improve
management.
This
review
consolidates
findings
from
various
studies
regarding
integrating
AI
detecting,
diagnosing,
treating
HCC,
leveraging
diverse
data
sources
such
as
radiological
imaging,
genomics,
clinical
records.
AI-based
approaches
have
shown
potential
accuracy
efficiency
screening,
early
detection,
tumor
characterization,
treatment
response
evaluation,
surpassing
traditional
methods.
However,
deployment
technologies
hindered
by
challenges,
including
standardization,
validation
multiple
centers,
ethical
considerations
applications.
emphasizes
need
establish
comprehensive
multimodal
datasets
collaborative
research
efforts
validate
applications
By
addressing
these
integration
technology
has
revolutionize
care,
ultimately
improved
outcomes
more
personalized
approach
strategies.
Journal of Hepatocellular Carcinoma,
Journal Year:
2025,
Volume and Issue:
Volume 12, P. 539 - 552
Published: March 1, 2025
Background:
Hepatocellular
carcinoma
(HCC)
is
a
common
malignancy
with
high
recurrence
rate
following
curative
resection.
This
study
aimed
to
identify
factors
contributing
early
(within
2
years)
and
develop
Lasso-based
nomogram
for
individualized
risk
assessment.
Methods:
We
conducted
retrospective
analysis
of
206
hCC
patients
who
underwent
resection
at
Taizhou
Hospital,
Zhejiang
Province,
from
January
2019
August
2022.
Patients
were
randomly
divided
into
training
(n=144)
validation
(n=62)
cohorts.
Lasso
regression
was
used
potential
among
17
candidate
predictors.
A
Cox
proportional
hazards
model
constructed
based
on
variables
selected
by
Lasso.
Model
performance
assessed
using
receiver
operating
characteristic
(ROC)
curves,
calibration
plots,
decision
curve
(DCA).
Results:
Five
independent
predictors
HCC
identified:
age,
serum
alanine
aminotransferase
(ALT)
levels,
cirrhosis,
tumor
diameter,
microvascular
invasion
(MVI).
The
demonstrated
area
under
the
(AUC)
values
recurrence-free
survival
(RFS)
0.828
(95%
confidence
interval
[CI]:
0.753–
0.904)
1
year,
0.799
CI:
0.718–
0.880)
years,
0.742
0.642–
0.842)
5
years
in
cohort.
corresponding
AUCs
cohort
0.823
0.686–
0.960),
0.804
0.922),
0.857
0.722–
0.992)
1,
respectively.
Calibration
curves
DCA
confirmed
nomogram's
accuracy
clinical
utility.
Conclusion:
Lasso-Cox
effectively
predicts
within
two
post-hepatectomy,
providing
valuable
tool
personalized
postoperative
management
improve
patient
outcomes.
Keywords:
hepatocellular
carcinoma,
invasion,
recurrence,
nomogram,
Frontiers in Immunology,
Journal Year:
2024,
Volume and Issue:
15
Published: Sept. 19, 2024
Chinese
Herbal
Medicine
(CHM)
is
being
more
and
used
in
cancer
treatment
because
of
its
ability
to
regulate
the
immune
system.
has
several
advantages
over
other
options,
including
multi-component,
multi-target,
having
fewer
side
effects.
Dendritic
cells
(DCs)
are
specialized
antigen
presenting
that
play
a
vital
part
connecting
innate
adaptive
systems.
They
also
important
immunotherapy.
Recent
evidence
suggests
components
can
positively
impact
response
by
targeting
key
functions
dendritic
cells.
In
this
review,
we
have
summarized
influences
on
immunobiological
feature
cells,
emphasized
an
anti-tumor
effect
CHM-treated
DCs,
pointed
out
deficiencies
regulation
DC
function
outlined
future
research
directions.
Cancer Letters,
Journal Year:
2024,
Volume and Issue:
585, P. 216654 - 216654
Published: Jan. 23, 2024
Tumor
micronecrosis
is
a
pathological
feature
that
reflects
malignant
biological
behavior
in
hepatocellular
carcinoma
(HCC).
However,
whether
can
optimize
HCC
staging
systems
remains
unilluminated.
A
total
of
1632
patients
who
underwent
curative
hepatectomy
four
institutions
from
January
2014
to
December
2021
were
enrolled
this
study.
Independent
prognostic
factors
identified,
and
optimized
models
established
using
training
cohort
(n
=
934).
The
performance
was
validated
an
external
consisting
cases
three
other
232).
In
addition,
our
prospectively
collected
database
379)
tested
the
application
effectiveness
models.
Harrel's
c-statistics
corrected
Akaike
information
criterion
(AICc)
used
assess
most
Barcelona
Clinic
Liver
Cancer
(BCLC)
tumor
(T)
stages,
with
showed
poorer
prognosis
than
those
without.
micronecrosis,
microvascular
invasion,
multiple
tumors
size
>2
cm
independent
prognostic-related
factors.
BCLC
T
incorporating
better
original
(c-statistic,
0.712
0.711
vs.
0.664
0.679;
AICc,
2314.8
2322.3
2338.2
2338.1;
respectively).
Furthermore,
validation
confirmed
had
improved
efficiency
compared
ones.
Moreover,
prospective
demonstrated
applicability
systems.
plays
stage-ascending
role
patients.
improve
stratification
