Integrating single cell analysis and machine learning methods reveals stem cell-related gene S100A10 as an important target for prediction of liver cancer diagnosis and immunotherapy
Shenjun Huang,
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Tingting Tu
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Frontiers in Immunology,
Journal Year:
2025,
Volume and Issue:
15
Published: Jan. 7, 2025
Hepatocellular
carcinoma
(LIHC)
poses
a
significant
health
challenge
worldwide,
primarily
due
to
late-stage
diagnosis
and
the
limited
effectiveness
of
current
therapies.
Cancer
stem
cells
are
known
play
role
in
tumor
development,
metastasis,
resistance
treatment.
A
thorough
understanding
genes
associated
with
is
crucial
for
improving
diagnostic
precision
LIHC
advancement
effective
immunotherapy
approaches.
This
research
combines
single-cell
RNA
sequencing
machine
learning
techniques
identify
vital
cell-associated
that
could
act
as
prognostic
biomarkers
therapeutic
targets
LIHC.
We
analyzed
various
datasets,
applying
negative
matrix
factorization
alongside
algorithms
reveal
gene
expression
patterns
construct
models.
The
XGBoost
algorithm
was
specifically
utilized
key
regulatory
related
LIHC,
levels
significance
these
were
validated
experimentally.
Our
analysis
identified
16
differential
liver
cancer
cells.
Cluster
models
constructed
using
confirmed
Notably,
S100A10
cell-related
most
relevant
prognosis
patients.
Experimental
validation
further
supports
potential
marker
this
type.
Additionally,
shows
positive
correlation
cell
POU5F1.
results
study
highlight
an
essential
predictor
treatment
response,
particularly
regarding
immunotherapy.
offers
valuable
insights
into
molecular
mechanisms
underlying
suggests
promising
target
enhancing
outcomes
Language: Английский
Mechanistic link between long noncoding RNA and stability of oncogene reveals stemness and chemoresistance of hepatocellular carcinoma
Yu-Bo Liang,
No information about this author
Xingming Chen,
No information about this author
Wan-Ling Luo
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et al.
World Journal of Gastroenterology,
Journal Year:
2025,
Volume and Issue:
31(7)
Published: Jan. 18, 2025
This
letter
comments
on
the
recently
published
manuscript
by
Yu
et
al,
in
which
authors
revealed
a
novel
mechanism
m6A-modified
long
noncoding
RNA
kinesin
family
member
9-antisense
1
promotes
stemness
and
sorafenib
resistance
of
hepatocellular
carcinoma
(HCC)
through
ubiquitin-specific
peptidase
1-mediated
deubiquitination
oncogene
short
stature
homeobox
2.
Given
high
mortality
rate
poor
prognosis
HCC,
findings
al
open
new
avenue
for
overcoming
HCC
burden
focusing
2
as
prognostic
markers
therapeutic
targets.
Language: Английский
Targeting liver cancer stem cells: the prognostic significance of MRPL17 in immunotherapy response
Jingjing Shao,
No information about this author
Tianye Zhao,
No information about this author
Ji‐Bin Liu
No information about this author
et al.
Frontiers in Immunology,
Journal Year:
2024,
Volume and Issue:
15
Published: Dec. 17, 2024
Liver
hepatocellular
carcinoma
(LIHC)
ranks
as
the
foremost
cause
of
cancer-related
deaths
worldwide,
and
its
early
detection
poses
considerable
challenges.
Current
prognostic
indicators,
including
alpha-fetoprotein,
have
notable
limitations
in
their
clinical
utility,
thereby
underscoring
necessity
for
discovering
new
biomarkers
to
improve
diagnosis
enable
personalized
treatment
options.
Language: Английский