Heliyon,
Год журнала:
2024,
Номер
10(8), С. e30123 - e30123
Опубликована: Апрель 1, 2024
BackgroundTumor
genetic
anomalies
and
immune
dysregulation
are
pivotal
in
the
progression
of
multiple
myeloma
(MM).
Accurate
patient
stratification
is
essential
for
effective
MM
management,
yet
current
models
fail
to
comprehensively
incorporate
both
molecular
profiles.MethodsWe
examined
776
samples
from
MMRF
CoMMpass
database,
employing
univariate
regression
with
LASSO
CIBERSORT
algorithms
identify
15
p53-related
genes
six
cells
prognostic
significance
MM.
A
p53-TIC
(tumor-infiltrating
cells)
classifier
was
constructed
by
calculating
scores
using
bootstrap-multicox
method,
which
further
validated
externally
(GSE136337)
through
ten-fold
internal
cross-validation
its
predictive
reliability
robustness.ResultsThe
demonstrated
excellent
performance
predicting
prognosis
Specifically,
patients
p53low/TIChigh
subgroup
had
most
favorable
lowest
tumor
mutational
burden
(TMB).
Conversely,
those
p53high/TIClow
subgroup,
least
highest
TMB,
were
predicted
have
best
anti-PD1
anti-CTLA4
response
rate
(40%),
can
be
explained
their
higher
expression
PD1
CTLA4.
The
three-year
area
under
curve
(AUC)
0.80
total
sample.ConclusionsOur
study
highlights
potential
an
integrated
analysis
p53-associated
TIC
aiding
clinical
decision-making
patients.
This
finding
underscores
comprehending
intricate
interplay
between
abnormalities
dysfunction
Further
research
into
this
may
lead
development
more
treatment
strategies.
