A Multi-Omics-Based Exploration of the Predictive Role of MSMB in Prostate Cancer Recurrence: A Study Using Bayesian Inverse Convolution and 10 Machine Learning Combinations
Biomedicines,
Год журнала:
2025,
Номер
13(2), С. 487 - 487
Опубликована: Фев. 16, 2025
Background:
Prostate
cancer
(PCa)
is
a
prevalent
malignancy
among
elderly
men.
Biochemical
recurrence
(BCR),
which
typically
occurs
after
radical
treatments
such
as
prostatectomy
or
radiation
therapy,
serves
critical
indicator
of
potential
disease
progression.
However,
reliable
and
effective
methods
for
predicting
BCR
in
PCa
patients
remain
limited.
Methods:
In
this
study,
we
used
Bayesian
deconvolution
combined
with
10
machine
learning
algorithms
to
build
five-gene
model
The
the
five
selected
genes
were
externally
validated.
Various
analyses
prognosis,
clinical
subgroups,
tumor
microenvironment,
immunity,
genetic
variants,
drug
sensitivity
performed
on
MSMB/Epithelial_cells
subgroups.
Results:
Our
outperformed
102
previously
published
prognostic
features.
Notably,
high
proportion
MSMB/epithelial
cells
characterized
by
greater
progression-free
Interval
(PFI),
higher
early-stage
tumors,
lower
stromal
component,
reduced
presence
tumor-associated
fibroblasts
(CAF).
was
also
associated
frequencies
SPOP
TP53
mutations.
Drug
analysis
revealed
that
poorer
prognosis
cell
ratio
showed
increased
cyclophosphamide,
cisplatin,
dasatinib.
Conclusions:
developed
study
provides
robust
accurate
tool
It
offers
significant
enhancing
risk
stratification
informing
personalized
treatment
strategies
patients.
Язык: Английский
Comparative Analysis of Serum C-reactive Protein Levels and Respiratory Diagnostic Test Results in Active Tuberculosis Patients and Latent Tuberculosis Infection Groups
Journal of Experimental & Biomedical Sciences/Biomedical Science Letters,
Год журнала:
2024,
Номер
30(4), С. 255 - 263
Опубликована: Дек. 31, 2024
Objectives:
Tuberculosis
(TB)
is
an
infectious
disease
caused
by
Mycobacterium
tuberculosis
(MTB)
bacteria.According
to
a
World
Health
Organization
report,
third
of
the
world'
s
population
has
latent
TB
infection
(LTBI),
and
5%-10%
people
with
LTBI
are
at
risk
developing
active
(ATB)
in
their
lifetime.Therefore,
it
important
quickly
accurately
distinguish
between
ATB
LTBI.Methods:
In
present
study,
serum
C-reactive
protein
(CRP)
levels
from
total
110
samples
28
patients,
29
LTBI,
53
healthy
individual
groups
were
analyzed
using
quantitative
suspension
bead
array.The
results
compared
those
acid-fast
bacilli
staining,
mycobacterial
cultures,
MTB-polymerase
chain
reaction
(PCR),
chest
X-ray
(CXR),
complete
blood
count,
white
cell
(WBC)
differential
erythrocyte
sedimentation
rate
(ESR)
examination.
Results:The
showed
that
CRP
group
significantly
higher
than
groups.Serum
patients
positive
for
culture,
MTB-PCR,
CXR
examinations
individuals
who
negative
these
examinations.In
addition,
WBC,
neutrophil,
lymphocyte
counts,
ESR
correlations
levels.
Conclusion:We
evaluated
feasibility
as
potential
marker
diagnosis
samples,
could
provide
baseline
data
comparing
expression
patterns
whole
ATB,
individuals.
Язык: Английский