PubMed,
Год журнала:
2023,
Номер
15(4), С. 2443 - 2459
Опубликована: Янв. 1, 2023
To
investigate
the
role
of
DNA
methylation
regulators
in
prognosis
clear
cell
renal
carcinoma
(ccRCC)
and
to
construct
a
regulator-based
signature
for
predicting
patient
outcome.Data
from
TCGA
dataset
were
downloaded
analyzed
identify
differentially
expressed
their
interaction
as
well
correlation.
Consensus
clustering
was
used
establish
groups
ccRCC
with
distinct
clinical
outcomes.
A
prognostic
based
on
two
sets
established
validated
an
independent
cohort.Our
analysis
revealed
that
expression
levels
DNMT3B,
MBD1,
SMUG1,
DNMT1,
DNMT3A,
TDG,
TET3,
MBD2,
UHRF2,
MBD3,
UHRF1,
TET2
significantly
upregulated
samples,
while
UNG,
ZBTB4,
TET1,
ZBTB38,
MECP2
markedly
downregulated.
UHRF1
identified
hub
gene
regulator
network.
Significant
differences
found
regarding
overall
survival,
gender,
tumor
status,
grade
between
patients
risk
groups.
The
signature,
regulators,
indicator,
these
findings
external,
cohort.The
study
provides
evidence
play
significant
developed
could
effectively
predict
outcome.
International Journal of Cancer,
Год журнала:
2023,
Номер
152(10), С. 2186 - 2205
Опубликована: Янв. 17, 2023
Abstract
The
aim
of
this
review
was
to
explore
the
status
urine
sampling
as
a
liquid
biopsy
for
noninvasive
cancer
research
by
reviewing
used
preanalytical
parameters
and
protocols.
We
searched
two
main
health
sciences
databases,
PubMed
Web
Science.
From
all
eligible
publications
(2010‐2022),
information
extracted
regarding:
(a)
study
population
characteristics,
(b)
type,
(c)
preanalytics,
(d)
analyte
class,
(e)
isolation
method,
(f)
detection
(g)
comparator
used,
(h)
biomarker
(i)
conclusion
(j)
sensitivity
specificity.
search
query
identified
7835
records,
which
924
unique
remained
after
screening
title,
abstract
full
text.
Our
analysis
demonstrated
that
many
did
not
report
about
their
samples,
even
though
several
other
studies
have
shown
importance
standardization
sample
handling.
Interestingly,
it
noted
is
types
just
cancers
originating
from
urogenital
tract.
Many
different
relevant
analytes
been
be
found
in
urine.
Additionally,
future
considerations
recommendations
are
discussed:
heterogeneous
nature
urine,
need
standardized
practice
protocols
road
toward
clinic.
Urine
an
emerging
with
broad
applicability
types.
However,
standard
handling
processing
would
help
elaborate
clinical
utility
research,
disease
monitoring.
G
protein-coupled
receptors
(GPCRs)
are
a
class
of
on
cell
membranes
that
regulate
various
biological
processes
in
cells,
such
as
proliferation,
differentiation,
migration,
apoptosis,
and
metabolism,
by
interacting
with
proteins.
However,
the
role
predicting
prognosis
renal
clear
carcinoma
is
still
unknown.
The
transcriptome
data
clinical
profiles
patients,
were
downloaded
from
TCGA
databases,
validation
group
number
GSE167573,
including
63
tumor
samples
14
normal
samples.
Single-cell
RNA
sequencing
GEO
database,
No.
GSE152938
selected
used
for
GSEA
enrichment
analysis,
WGCNA
subgroup
single-cell
mutation
analysis
to
explore
receptor-related
genes
diagnosis
verify
their
reliability
cellular
experiments.
Finally,
this
study
establishes
disease
model
based
genes,
which
may
help
propose
targeted
therapeutic
regimens
different
strata
patients.Author
names:
Please
confirm
if
author
names
presented
accurately
correct
sequence
(given
name,
middle
name/initial,
family
name).
Author:
Given
name
[Lisa
Jia]
Last
[Tran].It's
ok!
Abstract
Clear
cell
renal
carcinoma
(ccRCC)
is
a
common
and
aggressive
subtype
of
kidney
cancer.
Many
patients
are
diagnosed
at
advanced
stages,
making
early
detection
crucial.
Unfortunately,
there
currently
no
noninvasive
tests
for
ccRCC,
emphasizing
the
need
new
biomarkers.
Additionally,
ccRCC
often
develops
resistance
to
treatments
like
radiotherapy
chemotherapy.
Identifying
biomarkers
that
predict
treatment
outcomes
vital
personalized
care.
The
integration
artificial
intelligence
(AI),
multi‐omics
analysis,
computational
biology
holds
promise
in
bolstering
precision
resilience,
opening
avenues
future
investigations.
amalgamation
radiogenomics
biomaterial‐basedimmunomodulation
signifies
revolutionary
breakthrough
diagnostic
medicine.
This
review
summarizes
existing
literature
highlights
emerging
enhance
diagnostic,
predictive,
prognostic
capabilities
setting
stage
clinical
research.
Exploration of Targeted Anti-tumor Therapy,
Год журнала:
2023,
Номер
unknown, С. 941 - 961
Опубликована: Окт. 25, 2023
Renal
cell
carcinoma
(RCC)
is
one
of
the
most
life-threatening
urinary
malignancies
displaying
poor
response
to
radiotherapy
and
chemotherapy.
Although
in
recent
past
there
have
been
tremendous
advancements
using
targeted
therapies
for
RCC,
despite
that
it
remains
lethal
urogenital
cancer
with
a
5-year
survival
rate
roughly
76%.
Timely
diagnosis
still
key
prevent
progression
RCC
into
metastatic
stages
as
well
treat
it.
But
due
lack
definitive
specific
diagnostic
biomarkers
its
asymptomatic
nature
early
stages,
becomes
very
difficult
diagnose
Reliable
distinct
molecular
markers
can
not
only
refine
but
also
classifies
tumors
thier
sub-types
which
escort
subsequent
management
possible
treatment
patients.
Potential
permit
greater
degree
stratification
patients
affected
by
help
tailor
novel
therapies.
The
review
summarizes
promising
epigenetic
[DNA
methylation,
microRNA
(miRNA;
miR),
long
noncoding
RNA
(lncRNA)]
protein
known
be
specifically
involved
diagnosis,
progression,
metastasis
thereby
highlighting
their
utilization
non-invasive
RCC.
Also,
rationale
development
drugs
immunotherapy
[such
tyrosine
kinase
inhibitors
immune
checkpoint
(ICIs)]
potential
therapeutics
along
proposed
implication
these
predicting
will
discussed.
Renal
cell
carcinoma
(RCC)
refers
to
a
group
of
tumors
that
develop
from
the
epithelium
kidney
tubes,
including
clear
RCC,
papillary
and
chromophobe
RCC.
Most
renal
carcinomas
have
large
histologic
subtype,
genetic
or
epigenetic
von
Hippel-Lindau
(VHL).
A
comprehensive
analysis
modification
genome
suggested
chromosome
3p
loss
gains
5q
7
may
be
significant
copy
defects
in
development
more
potent
RCC
if
1p,
4,
9,
13q,
14q
is
also
lost.
carcinogenesis
not
associated
with
chronic
inflammation
histological
changes.
However,
regional
hypermethylation
DNA
CpG
C-type
islands
has
already
accumulated
cancer-free
tissue,
it
implies
presence
malignant
lesions
detected
by
modified
methylation.
Modification
methylation
cancerous
tissue
advance
mutations
genes,
leading
serious
cancers
even
determining
patient's
outcome.
The
profile
provides
accurate
predictors
for
patients
cancer.
New
technologies
will
help
speed
up
identification
vital
cells
cancer
prevention,
diagnosis,
treatment.
Abstract
Background
Early
studies
indicated
that
the
androgen
receptor
(AR)
could
promote
renal
cell
carcinoma
(RCC)
development
and
metastasis,
but
its
linkage
to
RCC
progression
under
hypoxia,
remains
unclear.
Results
Here
we
found
AR
expression
in
cells
decreased
response
which
might
then
lead
increase
cancer
stem
(CSC)
phenotype
through
lncTCFL5-2-modulated
YBX1/SOX2
signals.
The
consequences
of
such
hypoxia-modulated
AR/lncTCFL5-2/YBX1/SOX2
signals
ablity
alter
CSC
render
more
resistant
targeted
therapy
with
Sunitinib.
Mechanism
dissection
revealed
lncTCFL5-2/YBX1/SOX2
signaling
transcriptional
suppression
lncTCFL5-2
via
AR-response-elements
(AREs)
on
promoter.
interacts
YBX1
stability,
turn
increases
SOX2
at
a
level
YBX1-response-elements
(YBX1Es)
vivo
mouse
model
orthotopic
xenografts
also
validates
vitro
data,
human
sample
survey
demonstrated
clinical
significance
axis
for
prognosis,
likely
as
result
regulating
phenotypes.
Conclusions
Together,
these
findings
suggest
hypoxia
may
altering
potential
target
this
newly
identified
signal
perhaps
help
improve
Sunitinib
better
suppress
progression.
IntechOpen eBooks,
Год журнала:
2023,
Номер
unknown
Опубликована: Ноя. 8, 2023
DNA
methylation
is
one
of
the
most
important
epigenetic
modifications
next
to
acetylation
or
histone
modifications,
as
it
has
a
role
in
homeostatic
control
cell
and
strongly
involved
genome
expression.
methylation,
which
catalyzed
by
methyltransferases
(DNMTs),
primary
mechanisms
that
proliferation,
apoptosis,
differentiation,
cycle,
transformation
eukaryotes.
Hypomethylation
hypermethylation
result
activation
repression
genes
normal
there
strict
balance
between
these
processes.
Abnormal
well-known
feature
cancer
development
progression
can
turn
stem
cells
into
cells.
Studies
clearly
show
regulates
gene
transcription
functions
pathogenesis.
In
cells,
patterns
are
largely
modified,
therefore,
used
distinguish
from
normal,
healthy
However,
underlying
changes
remain
unexplored.
known
oxidative
stress
(OS)
key
mechanism
carcinogenesis,
active
at
OS
may
play
development.
also
mediated
long
noncoding
RNA
(lncRNA)
under
both
physiological
pathological
conditions.
How
cell-specific
established
disrupted
question
developmental
biology
epigenetics.
