Combining single-cell analysis and molecular docking techniques to construct a prognostic model for colon adenocarcinoma and uncovering inhibin subunit βb as a novel therapeutic target
Qinqing Wu,
No information about this author
Ye Lu,
No information about this author
Yuwei Wu
No information about this author
et al.
Frontiers in Immunology,
Journal Year:
2025,
Volume and Issue:
15
Published: Jan. 9, 2025
Colon
adenocarcinoma
(COAD)
is
a
malignancy
with
high
mortality
rate
and
complex
biological
characteristics
heterogeneity,
which
poses
challenges
for
clinical
treatment.
Anoikis
type
of
programmed
cell
death
that
occurs
when
cells
lose
their
attachment
to
the
extracellular
matrix
(ECM),
it
plays
crucial
role
in
tumor
metastasis.
However,
specific
link
between
anoikis
COAD,
as
well
its
mechanisms
progression,
remains
unclear,
making
potential
new
direction
therapeutic
strategy
research.
We
employed
transcriptomic
data
information
from
The
Cancer
Genome
Atlas
(TCGA)
Gene
Expression
Omnibus
(GEO)
pinpoint
differentially
expressed
anoikis-related
genes
(ARGs)
COAD.
Using
Cox
proportional
hazards
models
Lasso
regression
analysis,
we
developed
prognostic
signature
derived
these
ARGs.
also
investigated
roles
interactions
microenvironment
by
analyzing
single-cell
RNA
sequencing
data.
Additionally,
molecular
docking
techniques
evaluate
inhibin
subunit
beta
B
(INHBB)
targets
assess
binding
affinity
candidate
drugs.
Finally,
used
gene
knockout
silence
key
INHBB
explored
functions
vitro.
In
our
study,
expression
differences
ARGs,
successfully
classified
patients
Kaplan-Meier
survival
analysis
demonstrated
elevated
risk
scores
experienced
poorer
prognosis,
finding
was
confirmed
both
training
validation
cohorts.
immune
infiltration
revealed
notable
increase
presence
within
high-risk
patients.
Molecular
identified
drug
candidates
INHBB,
including
risperidone.
Furthermore,
vitro
experiments
showed
downregulation
COAD
lines
significantly
reduced
cellular
viability
migration
capacity.
summary,
research,
based
on
provides
insights
into
precise
classification,
prognosis
assessment,
identification
It
validates
progression
establishing
foundation
future
personalized
treatment
strategies.
Language: Английский
Identification of new HLA-A*0201-restricted cytotoxic T lymphocyte epitopes from LDHC in lung adenocarcinoma
Ruifang Zhong,
No information about this author
Xiaohong Guo,
No information about this author
Chuncai Wu
No information about this author
et al.
Frontiers in Immunology,
Journal Year:
2025,
Volume and Issue:
16
Published: April 9, 2025
Background
Lactate
dehydrogenase
C
(LDHC)
is
a
kind
of
cancer-testis
antigen
(CTA)
that
has
been
reported
to
be
biomarker
for
diagnosis,
efficacy
evaluation,
and
recurrence
monitoring
lung
adenocarcinoma
(LUAD).
This
study
aims
assess
the
value
LDHC
in
peptide-based
vaccines
LUAD
immunotherapy.
Methods
The
recombinant
protein
was
purified
its
effect
on
PC9
cells
evaluated
by
wound
healing
assay,
Transwell
invasion,
migration
assay.
Ten
HLA-A2-restricted
LDHC-derived
peptides
were
predicted
synthesized,
affinity
HLA-A2
molecule
analyzed
T2
binding
assay
docking.
Enzyme-linked
immunospot
(ELISpot)
LDH
cytotoxicity
performed
determine
interferon-γ
(IFN-γ)
release
level
tumor
cell
lysis
ability
peptide-induced
specific
cytotoxic
T
lymphocytes
(CTLs).
Results
promoted
invasion
cells.
Three
P2
(LDHC
170–180
,
FRYLIGEKLGV),
P5
116–124
IMKSIIPAI),
P6
172–180
YLIGEKLGV)
had
high
at
50
μg/mL.
elicited
strongest
IFN-γ-secreting
lymphocyte
(CTL)
response
exhibited
potent
against
HLA-A2-positive
with
expression.
Conclusions
may
serve
as
targetable
immunotherapy
LUAD.
Language: Английский