The Role of CENPK Splice Variant in Abiraterone Response in Metastatic Castration-Resistant Prostate Cancer
Cells,
Год журнала:
2024,
Номер
13(19), С. 1622 - 1622
Опубликована: Сен. 28, 2024
Most
patients
with
metastatic
prostate
cancer
eventually
develop
resistance
to
primary
androgen
deprivation
therapy.
To
identify
predictive
biomarker
for
Abiraterone
acetate/prednisone
resistance,
we
screened
alternative
splice
variants
between
responders
and
non-responders
from
the
PROMOTE
clinical
study
pinned
down
most
significant
variant,
CENPK–delta8.
Through
preclinical
patient-derived
mouse
xenograft
(PDX)
3D
organoids
obtained
non-responders,
as
well
in
vitro
models,
aberrant
CENPK–delta8
expression
was
determined
link
drug
via
enhanced
migration
proliferation.
The
FLNA
FLOT1
were
observed
specifically
bind
CENK–delta8
rather
than
wild-type
CENPK,
underscoring
role
of
cytoskeleton
organization
cell
migration.
Our
study,
leveraging
data
TCGA,
TCGA
SpliceReq
databases,
highlights
important
function
response
their
potential
be
prognostic
biomarkers
improving
individual
therapeutic
outcomes
precision
medicine.
Язык: Английский
Synergistic Strategies for Castration-Resistant Prostate Cancer: Targeting AR-V7, Exploring Natural Compounds, and Optimizing FDA-Approved Therapies
Cancers,
Год журнала:
2024,
Номер
16(16), С. 2777 - 2777
Опубликована: Авг. 6, 2024
Castration-resistant
prostate
cancer
(CRPC)
remains
a
significant
therapeutic
challenge
due
to
its
resistance
standard
androgen
deprivation
therapy
(ADT).
The
emergence
of
receptor
splice
variant
7
(AR-V7)
has
been
implicated
in
CRPC
progression,
contributing
treatment
resistance.
Current
treatments,
including
first-generation
chemotherapy,
blockers,
radiation
therapy,
immune
and
PARP
inhibitors,
often
come
with
substantial
side
effects
limited
efficacy.
Natural
compounds,
particularly
those
derived
from
herbal
medicine,
have
garnered
increasing
interest
as
adjunctive
agents
against
CRPC.
This
review
explores
the
role
AR-V7
highlights
promising
benefits
natural
compounds
complementary
treatments
conventional
drugs
reducing
overcoming
We
delve
into
mechanisms
action
underlying
anti-CRPC
showcasing
their
potential
enhance
outcomes
while
mitigating
associated
therapies.
exploration
offers
avenues
for
developing
novel
strategies
that
reduce
adverse
These
provide
safer,
more
effective
approach
managing
CRPC,
representing
advancement
improving
patient
care.
Язык: Английский
Identification of a novel alternative splicing isoform of the Hippo kinase STK3/MST2 with impaired kinase and cell growth suppressing activities
Oncogene,
Год журнала:
2024,
Номер
43(39), С. 2938 - 2950
Опубликована: Авг. 22, 2024
Язык: Английский
Comprehensive analysis of the RBP regulome reveals functional modules and drug candidates in liver cancer
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Сен. 6, 2024
Abstract
RNA
binding
proteins
(RBPs)
are
essential
components
of
the
transcriptomic
regulome.
Identifying
RBP
regulome
in
cancer
cells
is
crucial
to
discovering
and
understanding
carcinogenesis
mechanisms
providing
new
therapeutic
targets.
Here,
we
aimed
reveal
liver
upon
specific
perturbations.
To
this
end,
applied
a
consensus
Gene
Regulatory
Network
(GRN)
approach
using
knockdown
data
for
cell
line
HepG2.
By
incorporating
multiple
GRNs
from
diverse
inference
methods,
constructed
highly
precise
GRN.
validate
our
results,
comprehensively
evaluated
GRN,
focusing
on
characterizing
most
relevant
aspects
This
included
utilizing
eCLIP-seq
RAPseq
verify
interactions
sites.
In
addition,
performed
an
enrichment
analysis
network
modules
drug
repurposing
based
inferred
Taken
together,
findings
demonstrate
critical
roles
regulatory
that
can
be
employed
improve
treatment
strategies.
Язык: Английский
Molecular Perspectives on Prostate Cancer: The Role of microRNAs in Androgen Receptor Regulation
Receptors,
Год журнала:
2024,
Номер
3(4), С. 494 - 512
Опубликована: Ноя. 12, 2024
Prostate
cancer
(PCa)
is
the
most
prevalent
among
men
globally.
In
addition
to
environmental
risk
factors,
genetic
factors
play
a
crucial
role
in
its
development
and
progression,
highlighting
regulation
of
key
genes
as
an
essential
aspect.
The
androgen
receptor
gene
(AR)
plays
pivotal
this
disease,
so
post-transcriptional
must
be
meticulously
coordinated.
review,
we
explore
microRNAs
(miRNAs)
AR
PCa,
field
not
yet
fully
investigated.
We
note
that
AR,
due
extensive
3′UTR
region,
targeted
by
numerous
miRNAs,
can
occur
at
different
levels:
directly,
indirectly,
through
mutual
regulation,
thus
amplifying
influence
these
molecules
on
regulation.
Язык: Английский
Defining the clinical value of circulating splicing factors in prostate cancer: SRRM1 as a novel predictive biomarker and exploitable therapeutic target
Deleted Journal,
Год журнала:
2024,
Номер
32(4), С. 200910 - 200910
Опубликована: Ноя. 23, 2024
Prostate
cancer
(PCa)
is
the
second
most
common
among
men
worldwide.
The
main
screening
tool
remains
prostate-specific
antigen
(PSA),
which
shows
significant
limitations,
including
poor
sensitivity/specificity.
Therefore,
establishing
accurate
non-invasive
diagnostic
biomarkers
an
unmet
clinical
need
in
PCa.
In
this
context,
splicing
process
dysregulation
represents
a
PCa
hallmark.
Here,
plasma
SRRM1,
SNRNP200,
and
SRSF3
levels,
previously
identified
to
play
pathophysiological
role
PCa,
were
determined
control
individuals
(
Язык: Английский
Bioinformatic Analysis of Alternative Splicing
Elsevier eBooks,
Год журнала:
2024,
Номер
unknown
Опубликована: Янв. 1, 2024
Язык: Английский
CellPie: a fast spatial transcriptomics topic discovery method via joint factorization of gene expression and imaging data
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2023,
Номер
unknown
Опубликована: Окт. 2, 2023
Spatially
resolved
transcriptomics
has
enabled
the
study
of
expression
genes
within
tissues
while
retaining
their
spatial
identity.
Most
technologies
generate
a
matched
histopathological
image
as
part
standard
pipeline,
providing
morphological
information
that
can
complement
data.
Here
we
present
CellPie
,
fast,
unsupervised
factor
discovery
method,
based
on
joint
non-negative
matrix
factorisation
RNA
transcripts
and
histological
features.
employs
accelerated
hierarchical
least
squares
method
to
significantly
reduce
computational
time,
enabling
efficient
application
high-dimensional
datasets.
We
assessed
two
different
human
cancer
types
resolutions,
showing
an
improved
performance
against
published
methods.
Additionally,
applied
highly
Visium
HD
dataset,
demonstrating
its
high
efficiency
compared
other
existing
Availability
https://github.com/ManchesterBioinference/CellPie
Язык: Английский