Spatial and single‐cell transcriptomic analysis reveals fibroblasts dependent immune environment in colorectal cancer
Hang Jia,
No information about this author
Xianglin Liu,
No information about this author
Guimin Wang
No information about this author
et al.
BioFactors,
Journal Year:
2025,
Volume and Issue:
51(2)
Published: March 1, 2025
Abstract
Colorectal
cancer
(CRC)
exhibits
a
complex
tumor
microenvironment
with
significant
cellular
heterogeneity,
particularly
involving
cancer‐associated
fibroblasts
that
influence
behavior
and
metastasis.
This
study
integrated
single‐cell
RNA
sequencing
spatial
transcriptomics
to
dissect
fibroblast
heterogeneity
in
CRC.
Data
processing
employed
Seurat
for
quality
control,
principal
component
analysis
dimensionality
reduction,
t‐Distributed
Stochastic
Neighbor
Embedding
visualization.
Differentially
expressed
genes
were
identified
using
DESeq2.
Immune
infiltration
was
assessed
via
Single‐Sample
Gene
Set
Enrichment
Analysis,
CIBERSORT,
xCell
algorithms.
Prognostic
through
univariate
Cox
regression,
followed
by
consensus
clustering
survival
analysis.
Metabolic
pathways
explored
scMetabolism.
Experimental
validation
involved
CCK8,
scratch,
Transwell
assays
evaluate
the
roles
of
key
BGN
CERCAM
CRC
cell
proliferation
Machine
learning‐driven
four
fibroblast‐associated
(TRIP6,
TIMP1,
BGN,
CERCAM)
demonstrating
prognostic
relevance
Consensus
based
on
these
biomarkers
stratified
patients
into
three
distinct
molecular
subtypes
(Clusters
A–C).
Notably,
Cluster
C
exhibited
most
unfavorable
clinical
outcomes
coupled
marked
upregulation
all
fibroblast‐related
genes.
Comprehensive
immune
profiling
revealed
paradoxical
features
C:
heightened
global
activation
(characterized
substantial
leukocyte
infiltration)
coexisted
specific
immunosuppressive
elements,
including
enrichment
pro‐tumorigenic
M0
macrophages,
depletion
anti‐tumor
plasma
cells,
resting
memory
CD4+
T
along
coordinated
multiple
checkpoint
molecules.
Computational
prediction
TIDE
platform
suggested
enhanced
immunotherapy
responsiveness
patients.
Functional
demonstrated
knockdown
or
significantly
impaired
malignant
phenotypes,
reducing
proliferative
capacity,
migration
potential,
invasive
ability.
Fibroblasts
demonstrate
within
microenvironment,
impacting
prognosis
therapeutic
responses.
Key
emerge
as
potential
immunotherapeutic
targets,
offering
new
strategies
precision
treatment
Language: Английский
UBE2R2-AS1, as a prognostic marker of gastric cancer, promotes the malignant phenotype of gastric cancer cells.
Jie Xu,
No information about this author
Meiqin Xiao,
No information about this author
Zhijun Huang
No information about this author
et al.
PubMed,
Journal Year:
2024,
Volume and Issue:
39(6), P. 739 - 745
Published: June 1, 2024
This
study
aimed
to
unveil
the
potential
of
UBE2R2-AS1
dysregulation
in
gastric
cancer.
In
addition,
its
biological
function
was
assessed.
Language: Английский
Inhibiting the expression of spindle appendix cooled coil protein 1 can suppress tumor cell growth and metastasis and is associated with cancer immune cells in esophageal squamous cell carcinoma
PLoS ONE,
Journal Year:
2024,
Volume and Issue:
19(8), P. e0302312 - e0302312
Published: Aug. 28, 2024
Inhibiting
the
expression
of
spindle
appendix
cooled
coil
protein
1
(SPDL1)
can
slow
down
disease
progression
and
is
related
to
poor
prognosis
in
patients
with
esophageal
cancer.
However,
specific
roles
molecular
mechanisms
SPDL1
squamous
cell
carcinoma
(ESCC)
have
not
been
explored
yet.
The
current
study
aimed
investigate
levels
ESCC
via
transcriptome
analysis
using
data
from
Cancer
Genome
Atlas
(TCGA)
Gene
Expression
Omnibus
databases.
Moreover,
biological
roles,
mechanisms,
networks
involved
were
identified
machine
learning
bioinformatics.
counting
kit-8
assay,
EdU
staining,
transwell
assay
used
effects
inhibiting
on
proliferation,
migration,
invasion.
Finally,
correlation
between
cancer
immune
infiltrating
cells
was
evaluated
by
analyzing
TCGA
database.
Results
showed
that
overexpressed
tissues.
age
ESCC.
co-expressed
genes
included
those
division,
cycle,
DNA
repair
replication,
aging,
other
processes.
high-risk
scores
SPDL1-related
long
non-coding
RNAs
significantly
correlated
overall
survival
(P
<
0.05).
effective
suppressing
invasion
TE-1
overexpression
positively
Th2
T-helper
cells,
negatively
plasmacytoid
dendritic
mast
cells.
In
conclusion,
associated
Further,
could
effectively
growth
migration.
a
promising
biomarker
for
treating
Language: Английский