Journal of Cellular and Molecular Medicine,
Journal Year:
2024,
Volume and Issue:
28(24)
Published: Dec. 1, 2024
ABSTRACT
Clear
cell
renal
carcinoma
(ccRCC)
characterised
by
its
diversity
and
a
tendency
to
defy
standard
therapeutic
approaches.
Amidst
the
advent
of
immunotherapy,
it
has
become
imperative
pinpoint
prognostic
indicators
tumour
microenvironment
(TME)
influence
efficacy
treatments.
Employing
single‐cell
RNA
sequencing
(scRNA‐seq),
this
research
delved
into
diverse
landscape
ccRCC,
uncovering
complex
underpinnings
pinpointing
molecular
avenues
for
intervention.
We
constructed
model
using
101
machine
learning
algorithms
integrated
data
from
multiple
cohorts,
including
TCGA,
ICGC,
microarray
datasets.
The
model's
was
assessed
Concordance
Index
(C‐index),
further
analyses
included
pseudotime
analysis
cells,
mutation
correlation
between
immunity.
model,
combining
Lasso
regression
survival
Support
Vector
Machine
(SVM),
demonstrated
robust
discrimination
with
C‐index
0.650.
Investigation
TME
uncovered
pronounced
associations
presence
immune
infiltrates
patient
outcomes,
notable
emphasis
on
impact
CCL2‐expressing
neoplastic
cells.
GO
Biological
Processes
(GOBP)
encompass
regulation
endothelial
maturation,
formation
layers,
enhancement
gene
expression
controlled
Notch
receptors,
development
barriers.
effectively
pinpointed
critical
markers
crafted
forecasting
that
achieved
0.650,
highlighting
significant
infiltration,
especially
CCL2+
ccRCC
prognosis.
Current Oncology,
Journal Year:
2025,
Volume and Issue:
32(2), P. 64 - 64
Published: Jan. 26, 2025
Belzutifan
is
a
new
HIF-α
inhibitor
mainly
used
in
two
different
indications:
von
Hippel–Lindau
syndrome-associated
renal
cell
carcinoma,
haemangioblastomas
and
pancreatic
neuroendocrine
tumours,
as
well
sporadic
advanced
pre-treated
carcinoma.
Although
efficacy
has
been
demonstrated
phase
II
III
studies,
belzutifan
still
not
approved
many
countries.
In
addition,
syndrome
rare
disease.
Therefore,
there
virtually
no
real-world
experience
data
of
available.
We
aim
to
determine
the
tolerability
patients
with
tumours
tyrosine
kinase-
immune
checkpoint
inhibitors
for
A
retrospective
analysis
five
treated
between
2023
2024
at
Swiss
cancer
centre
was
conducted.
this
case
series,
all
consistently
benefitted
from
response
treatment.
This
series
provides
evidence
that
an
effective
well-tolerated
treatment
option
Frontiers in Endocrinology,
Journal Year:
2025,
Volume and Issue:
16
Published: March 3, 2025
Background
Clear
cell
renal
carcinoma
is
the
most
predominant
type
of
malignancies,
characterized
by
high
aggressiveness
and
probability
distant
metastasis.
Renin
angiotensin
system
(RAS)
plays
a
crucial
role
in
maintaining
fluid
balance
within
human
body,
its
involvement
tumorigenesis
increasingly
being
uncovered,
while
ccRCC
remains
unclear.
Methods
WGCNA
was
used
to
identify
RAS
related
genes.
Machine
learning
applied
screen
hub
genes
for
constructing
risk
model,
E-MTAB-1980
dataset
external
validation.
Transwell
CCK8
assays
were
investigate
impact
SLC6A19
cells.
Results
SLC6A19,
SLC16A12
SMIM24
eventually
screened
construct
model
predictive
efficiency
prognosis
validated
internal
cohorts.
Moreover,
differences
found
pathway
enrichment,
immune
infiltration,
mutational
landscapes
drug
prediction
between
low
groups.
Experimental
results
indicated
that
could
inhibit
invasion
proliferation
cells
GSEA
pinpointed
intimately
correlated
with
fatty
acid
metabolism
CPT1A.
Conclusion
The
based
on
three
RAS-related
have
robust
ability
predict
sensitivity
patients,
further
providing
valid
instruction
clinical
care.
Cancers,
Journal Year:
2025,
Volume and Issue:
17(8), P. 1361 - 1361
Published: April 18, 2025
Background/Objectives:
Clear-cell
renal
cell
carcinoma
(ccRCC)
is
a
heterogenous
disease
that
can
be
classified
into
multiple
molecular
subtypes
with
differential
prognosis
and
sensitivities
to
treatments
based
on
their
genomic,
transcriptomic,
proteomic,
metabolic
profiles.
Patient-derived
xenografts
(PDXs)
are
high-fidelity
cancer
models
because
they
maintain
similar
genotypes
immunohistologic
phenotypes
the
parental
tumors
respond
standard-of-care
therapies
as
expected.
However,
whether
identified
in
ccRCC
patient
samples
preserved
PDX
not
clear.
Our
objective
compare
transcriptional
proteomic
profiles
of
our
those
patients
identify
both
similarities
distinctions
between
corresponding
subtypes,
so
proper
used
when
investigating
subtypes.
Methods:
To
match
PDXs
human
we
compared
transcriptomic
five
established
lab
reported
by
group,
well
other
groups,
using
hierarchical
analysis,
Principal
Component
Analysis
(PCA),
Permutation
Correlation
Analysis.
The
enrichment
key
pathways
was
determined
Gene
Set
Enrichment
Results:
We
found
each
resembles
one
closely
at
transcript
protein
levels.
In
addition,
representing
different
show
unique
characteristics.
Moreover,
correlated
pathway
activities
implicated
progression
therapy
resistance.
Conclusions:
results
suggest
should
mechanism
resistance
for
This
“matching”
strategy
will
greatly
facilitate
clinical
translation
positive
findings
optimal
management
patients.