Identification and validation of PANoptosis-based HNSCPAN-index as a prognostic model for head and neck squamous cell carcinoma
Abstract
PANoptosis,
a
recently
characterized
form
of
programmed
cell
death,
remains
incompletely
understood
in
the
context
Head
and
Neck
Squamous
Cell
Carcinoma
(HNSCC).
In
this
study,
we
identified
prognostically
relevant
set
PANoptosis
genes
within
The
Cancer
Genome
Atlas
(TCGA)
database
for
HNSCC
uncovered
three
molecular
subtypes
based
on
their
expression
profiles.
Each
subtype
exhibited
distinct
prognostic
outcomes
immune
infiltration
patterns.
To
further
elucidate
clinical
relevance,
constructed
risk
score
model,
termed
HNSCPAN-index,
using
least
absolute
shrinkage
selection
operator
(LASSO)
Cox
regression
differentially
expressed
across
subtypes.
Patients
were
stratified
into
high-risk
low-risk
groups
according
to
HNSCPAN-index.
predictive
power
model
was
evaluated
Kaplan-Meier
analysis,
ROC,
nomogram
validated
an
external
dataset.
A
lower
HNSCPAN-index
correlated
with
longer
overall
survival
enhanced
immunotherapy
responses,
whereas
higher
indicated
increased
sensitivity
small-molecule
targeted
therapies.
Moreover,
demonstrated
strong
correlation
chemotherapeutic
drug
sensitivity.
Finally,
DSCAM
as
key
regulator
HNSCC,
where
silencing
death
mediated
by
pyroptosis
inducers.
conclusion,
revealed
its
potential
role
prognosis,
TME,
chemotherapy.
These
findings
may
provide
deeper
understanding
pave
way
development
more
personalized
therapeutic
strategies.
Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 16, 2024
Language: Английский