TDMFS: Tucker decomposition multimodal fusion model for pan-cancer survival prediction
Artificial Intelligence in Medicine,
Journal Year:
2025,
Volume and Issue:
162, P. 103099 - 103099
Published: March 1, 2025
Language: Английский
Improving neuroblastoma risk prediction through a polygenic risk score derived from genome-wide association study-identified loci
Chinese Journal of Cancer Research,
Journal Year:
2025,
Volume and Issue:
37(1), P. 1 - 11
Published: Jan. 1, 2025
Neuroblastoma
is
the
most
common
extracranial
solid
tumor
in
children
and
has
complex
genetic
underpinnings.
Previous
genome-wide
association
studies
(GWASs)
have
identified
many
loci
associated
with
neuroblastoma
susceptibility;
however,
their
application
risk
prediction
for
Chinese
not
been
systematically
explored.
This
study
seeks
to
enhance
by
validating
these
evaluating
performance
polygenic
models.
We
validated
35
GWAS-identified
susceptibility
a
cohort
of
children,
consisting
402
patients
473
healthy
controls.
Genotyping
polymorphisms
was
conducted
via
TaqMan
method.
Univariable
multivariable
logistic
regression
analyses
revealed
significantly
risk.
constructed
models
combining
assessed
predictive
area
under
curve
(AUC)
analysis.
also
established
scoring
(PRS)
model
adopting
PLINK
Fourteen
loci,
including
ten
protective
from
CASC15,
BARD1,
LMO1,
HSD17B12,
HACE1,
four
variants
RSRC1,
CPZ
MMP20
were
Compared
single-gene
model,
8-gene
(AUC=0.72)
13-gene
(AUC=0.73)
demonstrated
superior
performance.
Additionally,
PRS
incorporating
six
significant
achieved
an
AUC
0.66,
effectively
stratifying
individuals
into
distinct
categories
regarding
susceptibility.
A
higher
advanced
International
Staging
System
(INSS)
stages,
suggesting
its
potential
clinical
stratification.
Our
findings
validate
multiple
as
factors
demonstrate
utility
models,
particularly
PRS,
improving
prediction.
These
results
suggest
that
integrating
can
stratification
potentially
improve
early
diagnosis
guiding
targeted
screening
programs
high-risk
children.
Language: Английский
Editorial: ‘Risk‐Adapted Starting Ages of Colorectal Cancer Screening for People With Diabetes or Metabolic Syndrome’. Authors' Reply
Alimentary Pharmacology & Therapeutics,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 2, 2025
Language: Английский
Colon Cancer: Overview on Improved Therapeutic Potential of Plant-Based Compounds Using Nanotechnology
Scientia Pharmaceutica,
Journal Year:
2024,
Volume and Issue:
93(1), P. 1 - 1
Published: Dec. 24, 2024
Colon
cancer
(CC)
is
the
third
most
frequent
neoplasm,
with
a
considerably
high
mortality
rate.
Due
to
side
effects
of
conventional
forms
CC
treatment
(surgery,
chemotherapy,
and
radiotherapy),
several
studies
have
focused
on
use
medicinal
plant
derivatives
provide
green
therapy
for
CC;
although
phytochemicals
shown
promising
results
against
CC,
translating
obtained
in
vitro
vivo
clinical
setting
remains
challenge.
Indeed,
like
other
orally
applied
medicines,
cross
different
physiological
barriers
reach
microenvironment,
which
limits
their
dose-dependent
therapeutic
efficacy.
On
hand,
phytocompounds
are
not
free
from
biopharmaceutical
drawbacks,
so
novel
strategies
using
nanoparticles
(NPs)
been
proposed
overcome
body
controlled
release
actives
interest.
Accordingly,
current
review
provides
an
overview
discussion
predisposing
factors
treatment,
plants
advantages
provided
by
NPs
CC.
Language: Английский