Identification of cancer stem cell-related genes through single cells and machine learning for predicting prostate cancer prognosis and immunotherapy
Frontiers in Immunology,
Год журнала:
2024,
Номер
15
Опубликована: Авг. 29, 2024
Background
Cancer
stem
cells
(CSCs)
are
a
subset
of
within
tumors
that
possess
the
unique
ability
to
self-renew
and
give
rise
diverse
tumor
cells.
These
crucial
in
driving
metastasis,
recurrence,
resistance
treatment.
The
objective
this
study
was
pinpoint
essential
regulatory
genes
associated
with
CSCs
prostate
adenocarcinoma
(PRAD)
assess
their
potential
significance
diagnosis,
prognosis,
immunotherapy
patients
PRAD.
Method
utilized
single-cell
analysis
techniques
identify
cell-related
evaluate
relation
patient
prognosis
PRAD
through
cluster
analysis.
By
utilizing
datasets
employing
various
machine
learning
methods
for
clustering,
diagnostic
models
were
developed
validated.
random
forest
algorithm
pinpointed
HSPE1
as
most
prognostic
gene
among
genes.
Furthermore,
delved
into
association
between
immune
infiltration,
employed
molecular
docking
investigate
relationship
its
compounds.
Immunofluorescence
staining
60
tissue
samples
confirmed
expression
correlation
Result
This
identified
15
analysis,
highlighting
importance
diagnosing,
prognosticating,
potentially
treating
patients.
specifically
linked
response
immunotherapy,
experimental
data
supporting
upregulation
poorer
prognosis.
Conclusion
Overall,
our
findings
underscore
significant
role
unveil
novel
target
related
cell.
Язык: Английский
Targeting breast cancer: the promise of phage-based nanomedicines
Breast Cancer Research and Treatment,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 17, 2025
Язык: Английский
From microscopes to molecules: The evolution of prostate cancer diagnostics
Junyue Tao,
Xiaokang Bian,
Jun Zhou
и другие.
CytoJournal,
Год журнала:
2024,
Номер
21, С. 29 - 29
Опубликована: Авг. 29, 2024
In
the
ever-evolving
landscape
of
oncology,
battle
against
prostate
cancer
(PCa)
stands
at
a
transformative
juncture,
propelled
by
integration
molecular
diagnostics
into
traditional
cytopathological
frameworks.
This
synthesis
not
only
heralds
new
epoch
precision
medicine
but
also
significantly
enhances
our
understanding
disease's
genetic
intricacies.
Our
comprehensive
review
navigates
through
latest
advancements
in
biomarkers
and
their
detection
technologies,
illuminating
potential
these
innovations
hold
for
clinical
realm.
With
PCa
persisting
as
one
most
common
malignancies
among
men
globally,
quest
early
precise
diagnostic
methods
has
never
been
more
critical.
The
spotlight
this
endeavor
shines
on
that
reveal
underpinnings
PCa,
offering
insights
its
onset,
progression,
resistance
to
conventional
therapies.
Among
aberrations,
TMPRSS2-ERG
fusion
mutations
genes
such
phosphatase
tensin
homolog
(PTEN)
myelocytomatosis
viral
oncogene
(MYC)
are
identified
significant
players
pathology,
providing
markers
therapeutic
targets.
underscores
multimodal
approach,
merging
with
cytopathology,
cornerstone
managing
effectively.
strategy
promises
future
where
treatment
is
tailored
individual's
makeup
anticipates
trajectory,
hope
improved
prognosis
quality
life
patients.
Язык: Английский