Tumor-associated macrophages and CD8+ T cells: dual players in the pathogenesis of HBV-related HCC
Muhammad Naveed Khan,
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Binli Mao,
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Juan Hu
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et al.
Frontiers in Immunology,
Journal Year:
2024,
Volume and Issue:
15
Published: Oct. 10, 2024
HBV
infection
is
a
key
risk
factor
for
the
development
and
progression
of
hepatocellular
carcinoma
(HCC),
highly
invasive
tumor,
characterized
by
its
persistent
immunosuppressive
microenvironment.
This
review
provides
an
in-depth
analysis
HBV-related
HCC
explores
interactions
between
neutrophils,
natural
killer
cells,
dendritic
examining
their
roles
in
regulating
tumor-associated
macrophages
CD8+
T
cells
shaping
tumor
Two
critical
players
milieu
are
(TAMs).
The
study
how
TAMs,
initially
recruited
to
combat
infection,
transform,
adopting
tumor-promoting
phenotype,
turning
against
body,
promoting
cell
proliferation,
suppressing
anti-tumor
immunity,
assisting
spread
cancer.
Meanwhile,
crucial
controlling
become
dysfunctional
exhausted
response
chronic
viral
inflammation.
then
dissects
TAMs
manipulate
this
immune
response,
further
depleting
functions
through
mechanisms
like
arginine
deprivation
creating
hypoxic
environments
that
lead
exhaustion.
Finally,
it
challenges
promising
therapeutic
avenues
target
either
separately
or
combination
with
antiviral
therapy
personalized
medicine
approaches,
offering
hope
improved
outcomes
HCC.
Language: Английский
Unraveling the potential mechanism and prognostic value of pentose phosphate pathway in hepatocellular carcinoma: a comprehensive analysis integrating bulk transcriptomics and single-cell sequencing data
Bin Li,
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Tao Zeng,
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Cui Chen
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et al.
Functional & Integrative Genomics,
Journal Year:
2025,
Volume and Issue:
25(1)
Published: Jan. 11, 2025
Language: Английский
Artificial intelligence-driven integration of single-cell RNA sequencing and transcriptome analysis to decipher APOE’s role in gastric cancer prognosis and therapy
Ni Li,
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Jinquan Lin,
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Chunyu Wang
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et al.
Discover Oncology,
Journal Year:
2025,
Volume and Issue:
16(1)
Published: March 13, 2025
Gastric
cancer
(GC)
remains
a
global
health
challenge
due
to
its
high
mortality
rate
and
the
lack
of
specific
diagnostic
methods.
Tumor
heterogeneity
significantly
hinders
effective
treatment,
necessitating
advanced
techniques
dissect
complexity.
Artificial
intelligence
(AI)
offers
transformative
potential
in
uncovering
intricate
cellular
dynamics
gene
regulatory
networks.
This
study
leverages
single-cell
RNA
sequencing
(scRNA-seq)
combined
with
transcriptome
analysis,
enhanced
by
AI-driven
analytics,
explore
tumor
microenvironment
identify
novel
prognostic
markers
therapeutic
targets
GC.
scRNA-seq
datasets
GC
patients
were
analyzed
using
AI-enhanced
methodologies
unravel
microenvironmental
dynamics.
Macrophage
subsets
identified
as
critical
components
within
microenvironment.
High-variance
screening
these
pinpointed
apolipoprotein
E
(APOE)
hub
gene.
Experimental
validation
APOE
expression
samples
functional
studies
cell
lines
conducted.
Bioinformatics
AI-enabled
analyses
confirmed
immunosuppressive
role
An
immune-related
survival
model
was
developed
predict
immunotherapy
responses
patient
prognoses.
Mechanistically,
found
induce
immunosuppression
through
M2
macrophage
polarization,
promoting
progression
leading
poorer
outcomes
patients.
highlights
approaches
elucidating
progression.
APOE's
effects
on
macrophages
underscore
value
marker
target,
paving
way
for
precision
medicine
management.
Language: Английский
Current Advancements in Serum Protein Biomarkers for Hepatitis B Virus‐Associated Hepatocyte Remodeling and Hepatocellular Carcinoma
Immunity Inflammation and Disease,
Journal Year:
2025,
Volume and Issue:
13(4)
Published: April 1, 2025
ABSTRACT
Background
Hepatitis
B
virus
(HBV)‐related
liver
cancer
is
the
third
most
common
cause
of
cancer‐related
death
globally.
Hepatocyte
remodeling,
also
known
as
hepatocyte
transformation
and
immortalization,
hepatocellular
carcinoma
(HCC),
are
brought
on
by
persistent
inflammation
caused
HBV
in
host
hepatocytes.
One
main
concerns
perspective
HBV‐induced
remodeling
accurately
identifying
stages
to
maximize
early
screening
detection.
Biological
signatures
have
a
significant
impact
solving
this
problem.
Objective
This
review
article
aimed
discuss
novel
serum
protein
biomarkers
for
HCC.
Methods
The
information
was
collected
from
various
peer‐reviewed
journals
through
electronic
searches
utilizing
search
engines,
including
PubMed,
Google
Scholar,
HINARI,
Cochrane
Library
2017
2024.
Keywords
included
“serum
HBV‐HCC,”
“blood‐based
“viral
HBV‐HCC.”
Results
Recently,
been
discovered
diagnosis,
treatment,
prognosis
hepatic
cell
HCC
proteomic
data
sets.
We
discussed
recent
literature
clinical
utility
diagnosis
forecasting
HBV‐associated
HCC,
golgi
73
(GP73),
glypican‐3
(GPC3),
midkine
(MDK),
des‐γ‐carboxy‐prothrombin
(DCP),
von
Willebrand
factor
(vWF),
pentraxin
3
(PTX3),
pseudouridine
synthases
7
(PUSs
7),
squamous
antigen
(SCCA),
osteopontin
(OPN).
Conclusion
All
these
markers
exhibit
survival
HBV‐related
patients,
proliferation,
migration,
antiapoptosis,
mitogenesis,
transformation,
angiogenesis
HBV‐infected
Language: Английский
T-Cell Dynamics Predicts Prognosis of Patients with Hepatocellular Carcinoma Receiving Atezolizumab Plus Bevacizumab
International Journal of Molecular Sciences,
Journal Year:
2024,
Volume and Issue:
25(20), P. 10958 - 10958
Published: Oct. 11, 2024
Atezolizumab
and
bevacizumab
show
promise
for
treating
hepatocellular
carcinoma
(HCC),
but
identifying
responsive
patients
remains
challenging,
due
to
tumor
heterogeneity.
This
study
explores
immune
dynamics
following
this
combination
therapy.
Between
2020
2023,
29
with
advanced
HCC
who
received
atezolizumab
plus
at
Severance
Hospital,
Seoul,
were
enrolled
in
study.
Peripheral
blood
mononuclear
cells
analyzed
using
flow
cytometry
statistical
methods
assess
alterations
identify
biomarkers.
Baseline
characteristics
showed
a
diverse
cohort
mean
age
of
64
years
82.8%
male
predominance.
Absence
extrahepatic
metastasis
was
associated
better
overall
survival.
Immune
responses
revealed
distinct
CD4
Language: Английский