European Journal of Gastroenterology & Hepatology,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 15, 2024
Background
Alcohol
is
linked
to
various
cancers.
While
many
studies
have
focused
on
developed
countries,
the
burden
of
alcohol-related
cancers
in
developing
countries
remains
underexplored.
Methods
We
analyzed
data
from
Global
Burden
Disease
Study
(2000–2019)
assess
mortality
and
disability-adjusted
life
years
(DALYs)
low
low-to-middle
sociodemographic
index
(SDI)
countries.
Results
In
2019,
there
were
494
730
cancer.
Low
low-middle
SDI
contributed
over
15%
global
Among
multiple
types
cancer,
other
pharyngeal
these
accounted
for
30%
Primary
liver
cancer
exhibited
highest
(
n
=
16
090)
deaths
DALYs
rates
decreased
globally
between
2000
related
increased
with
a
rise
all
cancers,
except
primary
The
most
rapidly
growing
(+2.25%),
whereas
colorectal
evidenced
increase
(+2.76%).
Conclusion
has
risen
SDI,
especially
Policymakers
should
focus
improving
policies
as
well
screening
availability
tackle
associated
resource-constrained
However,
difficulty
isolating
impact
alcohol
due
limited
confounders
necessitates
caution
interpreting
findings.
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(7), P. e29105 - e29105
Published: April 1, 2024
Patients
with
liver
cancer
may
face
stigmatization
due
to
cancer,
alcohol
consumption,
or
both.
This
study
addresses
gaps
in
the
existing
literature
regarding
of
alcohol-related
patients,
particularly
its
connection
socioeconomic
status
(SES).
The
explores
whether
SES
a
fictional
character
addiction
and
influences
stigma
levels
reported
by
participants.
Additionally,
it
investigates
how
participants'
personal
characteristics,
such
as
consumption
healthcare
professional
status,
impact
stigmatization.
aims
provide
new
insights
role
treatment
management,
emphasizing
determinants.
method
is
based
on
three
scenarios
describing
woman
abuse
cancer.
depicted
either
low,
medium
high
SES.
Each
participant
(N
=
991)
was
randomly
assigned
one
scenarios.
After
reading
it,
each
answered
questionnaires
assessing
negative
attitudes
towards
character.
Four
scales
were
used:
"Negative
attributions
about
people
health
problems",
"Causality
cancer",
"Controllability
drinking"
"Reluctance
helping
behavior".
Data
analyzed
using
ANOVA
t-tests.
scenario
low
significantly
received
more
problems"
than
Participants
having
higher
themselves
showed
lower
scores
for
out
four
participants
consumption.
In
addition,
identified
professionals
had
drinking",
subscale
behavior",
compared
non-professionals.
A
Participants'
own
(being
not),
influenced
their
stigmatizing
attitudes.
Baylor University Medical Center Proceedings,
Journal Year:
2024,
Volume and Issue:
38(1), P. 53 - 60
Published: Oct. 17, 2024
Background
Hepatocellular
carcinoma
(HCC)
is
a
leading
cause
of
cancer-related
deaths
worldwide.
Social
determinants
health
(SDH)
significantly
impact
HCC
outcomes,
yet
comprehensive
insights
into
these
effects
are
lacking.
This
scoping
review
aimed
to
examine
the
influence
SDH
on
outcomes.
Journal of Clinical Medicine,
Journal Year:
2024,
Volume and Issue:
13(19), P. 6011 - 6011
Published: Oct. 9, 2024
Background/Objectives:
Cholangiocarcinoma
(CCA)
and
hepatocellular
carcinoma
(HCC)
represent
major
primary
liver
cancers,
affecting
one
of
the
most
vital
organs
in
human
body.
T
regulatory
(Treg)
cells
play
an
important
role
cancers
through
immunosuppression
antitumor
immune
responses.
The
current
study
focuses
on
characterization
circulating
natural
killer
(NK)
cell
subsets,
including
Treg
cells,
CCA
HCC
patients,
before
after
surgical
tumor
resection,
order
to
understand
effect
resection
homeostasis
peripheral
blood
NK
cells.
Methods:
Whole
assays
were
performed
monitor
alterations
functional
competence
lymphocytes
a
group
ten
healthy
individuals,
eight
twenty
month
procedure,
using
flow
cytometry,
sorting,
qRT-PCR.
Results:
Before
both
patients
display
increased
percentages
CD8+
decreased
frequencies
CD4+
Notwithstanding,
no
impairment
was
detected
neither
nor
patients.
Interestingly,
frequency
from
0.55%
±
0.49
0.71%
0.54
(in
HCC,
respectively)
at
T0
0.99%
0.91
1.17%
0.33
T1,
following
resection.
Conclusions:
Our
results
suggest
mechanisms
modulation
induced
by
medRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 4, 2024
Abstract
Background
and
aims
Hepatocellular
carcinoma
(HCC)
is
a
highly
fatal
tumor,
for
which
early
detection
risk
stratification
crucial,
yet
remains
challenging.
We
aimed
to
develop
an
interpretable
machine-learning
framework
HCC
based
on
routinely
collected
clinical
data.
Methods
leverage
data
obtained
from
over
900,000
individuals
983
cases
of
across
two
large-scale
population-based
cohorts:
the
UK
Biobank
study
“All
Of
Us
Research
Program”.
For
all
these
patients,
timepoints
years
before
diagnosis
was
available.
integrate
modalities
including
demographics,
electronic
health
records,
lifestyle,
routine
blood
tests,
genomics
metabolomics
offer
unique,
multi-modal
perspective
risk.
Results
Our
random-forest-based
model
significantly
outperforms
publicly
available
state-of-the-art
risk-scores,
with
AUROC
0.88
both
internal
external
test
sets.
demonstrate
robustness
our
ethnic
subgroups,
major
advance
previous
models
variable
performance
by
ethnicity.
Further,
we
perform
extensive
feature-importance
analysis,
showcasing
approach
as
framework.
provide
weights
open-source
web
calculator
facili-tate
further
validation
model.
Conclusion
presents
robust
stratification,
offers
potential
improve
could
ultimately
reduce
disease
burden
through
targeted
interventions.
Lay
summary
Finding
liver
cancer
crucial
successful
treatment.
Therefore,
screening
abdominal
ultra-sound
can
be
performed.
However,
it
not
clear
who
should
receive
ultrasound
screening,
current
standard
only
patients
cirrhosis,
severe
disease,
many
are
diagnosed
in
late
stages.
trained
machine
learning
model,
acting
like
decision
trees
at
same
time,
detect
high
looking
patterns
almost
1000
population
900.000
individuals.
In
separate
set
has
seen
during
training,
worked
better
than
models.
Additionally,
investigated
1.
how
comes
its
prediction,
2.
whether
works
males
females
alike
3.
most
relevant
Like
this,
help
sort
into
categories
“high-risk”,
“medium-risk”
“low-risk”,
via
strategies
then
decided,
cancer.
