SPP1 macrophages across diseases: A call for reclassification?
The FASEB Journal,
Journal Year:
2025,
Volume and Issue:
39(5)
Published: March 6, 2025
SPP1+
macrophages,
characterized
by
elevated
expression
of
the
osteopontin
gene
(secreted
phosphoprotein
1,
SPP1),
have
emerged
as
key
players
in
various
pathological
contexts,
including
aging,
chronic
inflammatory
diseases,
and
cancer.
While
frequently
classified
a
subclass
tumor-associated
macrophages
oncological
settings,
their
presence
noncancer
conditions,
such
aging-related
disorders
muscular
suggests
broader
role
beyond
tumors.
These
share
conserved
traits,
fibrosis
promotion,
extracellular
matrix
remodeling,
immune
modulation,
often
linked
to
poor
clinical
outcomes.
This
perspective
explores
multifaceted
roles
across
diseases
advocates
for
reclassification
distinct
macrophage
subtype
associated
with
or
prolonged
inflammation.
Recognizing
cross-disease
relevance
could
reshape
biology
inform
targeted
therapeutic
strategies.
Language: Английский
Single‐cell transcriptome sequencing reveals SPP1‐CD44‐mediated macrophage–tumor cell interactions drive chemoresistance in TNBC
Fuzhong Liu,
No information about this author
Junfeng Zhang,
No information about this author
Xiaowei Gu
No information about this author
et al.
Journal of Cellular and Molecular Medicine,
Journal Year:
2024,
Volume and Issue:
28(13)
Published: July 1, 2024
Abstract
Triple‐negative
breast
cancer
(TNBC)
is
often
considered
one
of
the
most
aggressive
subtypes
cancer,
characterized
by
a
high
recurrence
rate
and
low
overall
survival
(OS).
It
notorious
for
posing
challenges
related
to
drug
resistance.
While
there
has
been
progress
in
TNBC
research,
mechanisms
underlying
chemotherapy
resistance
remain
largely
elusive.
We
collect
single‐cell
RNA
sequencing
(scRNA‐seq)
data
from
five
patients
susceptible
resistant
cases.
Comprehensive
analyses
involving
copy
number
variation
(CNV),
pseudotime
trajectory,
cell–cell
interactions,
pseudospace
analysis,
as
well
transcription
factor
functional
enrichment
are
conducted
specifically
on
macrophages
malignant
cells.
Furthermore,
we
performed
validation
experiments
clinical
samples
using
multiplex
immunofluorescence.
identified
subset
SPP1
+
that
secrete
signals
interacting
with
CD44
cell
surfaces,
potentially
activating
PDE3B
pathway
within
cells
via
integrin
pathway,
leading
The
abnormally
enhanced
signal
between
may
serve
promoting
patients.
Therefore,
could
therapeutic
target
reduce
Language: Английский
Identification of cancer cell-intrinsic biomarkers associated with tumor progression and characterization of SFTA3 as a tumor suppressor in lung adenocarcinomas
BMC Cancer,
Journal Year:
2025,
Volume and Issue:
25(1)
Published: Jan. 8, 2025
Recent
advancements
in
contemporary
therapeutic
approaches
have
increased
the
survival
rates
of
lung
cancer
patients;
however,
long-term
benefits
remain
constrained,
underscoring
pressing
need
for
novel
biomarkers.
Surfactant-associated
3
(SFTA3),
a
long
non-coding
RNA
predominantly
expressed
normal
epithelial
cells,
plays
crucial
role
development.
Nevertheless,
its
function
adenocarcinoma
(LUAD)
remains
inadequately
understood.
Single-cell
sequencing
data
were
utilized
to
identify
cell-intrinsic
gene
signatures
associated
with
progression
LUAD,
and
their
roles
LUAD
comprehensively
analyzed.
Serum
samples
collected
quantify
expression
levels
SFTA3
patients.
Furthermore,
series
biological
experiments,
including
cell
viability
assays,
scratch
wound
healing
colony
formation
conducted
demonstrate
tumor-suppressive
effects
SFTA3.
was
performed
elucidate
molecular
mechanisms
underlying
cells.
We
constructed
prognostic
model
comprising
eight
genes:
ALDOA,
ATP5MD,
SERPINH1,
SFTA3,
SLK,
U2SURP,
SCGB1A1,
SCGB1A3.
The
effectively
stratified
patients
into
high-
low-risk
categories,
revealing
that
experienced
superior
clinical
outcomes,
exhibited
an
immunologically
hot
tumor
microenvironment
(TME),
had
greater
probability
responding
immunotherapy.
In
contrast,
high-risk
group
cold
TME
may
benefit
more
from
chemotherapy.
our
study
revealed
progressive
decrease
cells
correlated
advancement.
Notably,
serum
significantly
decreased
suggesting
potential
utility
liquid
biopsy
diagnosis.
Additionally,
knockdown
enhances
proliferation
migration
whereas
overexpression
inhibits
these
phenotypes.
epithelial-mesenchymal
transition
pathway
enriched
following
silencing,
impact
by
modulating
this
process.
also
identified
key
transcription
factors
epigenetic
implicated
downregulation
LUAD.
developed
robust
as
biomarker
applications
diagnosis,
prognosis,
personalized
treatment
findings
offer
new
insights
tumorigenesis
immune
evasion.
Language: Английский
Analysis of single-cell and spatial transcriptomics in TNBC cell-cell interactions
Yan Xin,
No information about this author
Qiji Ma,
No information about this author
Qiang Deng
No information about this author
et al.
Frontiers in Immunology,
Journal Year:
2025,
Volume and Issue:
16
Published: Feb. 26, 2025
Triple-negative
breast
cancer
(TNBC)
is
a
highly
malignant
tumor
in
women,
characterized
by
high
morbidity,
mortality,
and
recurrence
rates.
Although
surgical
treatment,
radiotherapy,
chemotherapy
are
the
mainstays
of
current
treatment
methods,
heterogeneity
TNBC
results
unsatisfactory
outcomes
with
low
5-year
survival
Rapid
advancements
omics
technology
have
propelled
understanding
molecular
biology.
The
emergence
single-cell
RNA
sequencing
(scRNA-seq)
spatial
transcriptomics
(ST)
has
significantly
enhanced
knowledge
distribution,
functionality,
intercellular
interactions
various
cell
types
within
microenvironment,
including
cells,
T
B
macrophages,
fibroblasts.
present
study
provides
an
overview
technical
characteristics
scRNA-seq
ST,
highlighting
their
applications
exploring
heterogeneity,
distribution
patterns,
interactions.
This
review
aims
to
enhance
comprehension
at
cellular
level
for
development
effective
therapeutic
targets.
Language: Английский
InfoScan: A New Transcript Identification Tool Based on scRNA-Seq and Its Application in Glioblastoma
Shi-Qiang Mei,
No information about this author
Jinjin Huang,
No information about this author
Zhen Zhang
No information about this author
et al.
International Journal of Molecular Sciences,
Journal Year:
2025,
Volume and Issue:
26(5), P. 2208 - 2208
Published: Feb. 28, 2025
InfoScan
is
a
novel
bioinformatics
tool
designed
for
the
comprehensive
analysis
of
full-length
single-cell
RNA
sequencing
(scRNA-seq)
data.
It
enables
identification
unannotated
transcripts
and
rare
cell
populations,
providing
powerful
platform
transcriptome
characterization.
In
this
study,
was
applied
to
glioblastoma
multiforme
(GBM),
identifying
"neoplastic-stemness"
subpopulation
exhibiting
cancer
stem
cell-like
features.
Functional
analyses
suggested
that
tumor-associated
macrophages
(TAMs)
secrete
SPP1,
which
binds
CD44
on
neoplastic-stemness
cells,
activating
PI3K/AKT
pathway
driving
lncRNA
transcription
promote
metastasis.
Integration
TCGA
CGGA
datasets
further
supported
these
findings,
highlighting
key
mutations
associated
with
subpopulation.
Drug
sensitivity
assays
indicated
cells
might
be
sensitive
omipalisib,
PI3K
inhibitor,
pointing
potential
therapeutic
target.
offers
robust
framework
exploring
complex
transcriptomic
landscapes
characterizing
valuable
insights
into
GBM
biology
advancing
precision
therapy.
Language: Английский
Decoding the Tumor Microenvironment of Myoepithelial Cells in Triple‐Negative Breast Cancer Through Single‐Cell and Transcriptomic Sequencing and Establishing a Prognostic Model Based on Key Myoepithelial Cell Genes
International Journal of Genomics,
Journal Year:
2025,
Volume and Issue:
2025(1)
Published: Jan. 1, 2025
Background:
Triple‐negative
breast
cancer
(TNBC)
is
an
aggressive
subtype
with
high
malignancy,
rapid
progression,
and
a
poor
5‐year
survival
rate
of
~77%.
Due
to
the
lack
targeted
therapies,
treatment
options
are
limited,
highlighting
urgent
need
for
novel
therapeutic
strategies.
Myoepithelial
cells
(MECs)
in
tumor
microenvironment
may
significantly
influence
TNBC
development
progression.
Methods:
This
study
used
single‐cell
RNA
sequencing
compare
MEC
gene
expression
normal
versus
tissues.
TNBC‐associated
MECs
showed
increased
proliferation‐
immune‐related
genes
(e.g.,
FDCSP,
KRT14,
KRT17)
decreased
inflammatory
extracellular
matrix‐related
CXCL8,
SRGN,
DCN).
Copy
number
variation
pseudotime
analyses
revealed
genomic
alterations
phenotypic
dynamics
MECs.
A
CoxBoost‐based
prognostic
model
was
developed
validated
across
20
cohorts,
integrating
immune
profiling,
pathway
enrichment,
drug
sensitivity
analyses.
Mendelian
randomization
identified
TPD52
as
risk–associated
gene.
siRNA
knockdown
performed
cell
lines
evaluate
its
effects
on
proliferation
migration.
Results:
displayed
significant
changes
integrity,
impacting
responses
invasion.
The
effectively
predicted
1‐,
3‐,
outcomes,
stratifying
high‐risk
patients
enriched
cycle
DNA
replication
pathways,
reduced
checkpoint
expression,
chemotherapy
resistance.
tumor‐promoting
gene,
suppressed
Conclusion:
highlights
MECs’
role
provides
CoxBoost
personalized
treatment,
identifies
potential
target
intervention.
Language: Английский
SPP1 mRNA Expression Is Associated with M2 Macrophage Infiltration and Poor Prognosis in Triple-Negative Breast Cancer
Current Issues in Molecular Biology,
Journal Year:
2024,
Volume and Issue:
46(12), P. 13499 - 13513
Published: Nov. 25, 2024
(1):
Triple-negative
breast
cancer
(TNBC)
is
an
especially
aggressive
form
of
defined
by
a
poor
prognosis
and
lack
effective
treatment
options.
There
pressing
need
for
validated
predictive
prognostic
biomarkers
to
assist
in
making
decisions
improve
the
accuracy
patients
with
this
challenging
disease.
(2):
We
analyzed
RNA-seq
data
from
three
TNBC
tissue
samples
alongside
their
corresponding
normal
tissues.
Gene
set
enrichment
analysis
(GSEA)
identified
potential
pathways.
Additionally,
we
examined
SPP1
mRNA
expression
datasets
available
Kaplan–Meier
plotter
investigated
protein
patterns
our
own
microarray
cohort
via
immunohistochemistry.
(3):
The
results
revealed
that
genes
associated
Toll-like
receptor
signaling
pathway
showed
significant
increase
activity
tissues
when
compared
Furthermore,
was
found
be
elevated
TCGA
dataset
correlated
prognosis.
This
pattern
corroborated
at
level
cohort;
however,
did
not
demonstrate
impact
on
survival.
Notably,
strongly
linked
tumor-associated
macrophages
(TAMs),
particularly
M2
macrophage
subtype,
indicating
substantial
association
context
TNBC.
(4):
Our
research
highlights
significance
as
key
indicator
molecular
responder
utilizing
targeted
therapies
focus
Language: Английский
Single-cell Atlas reveals core function of CPVL/MSR1 expressing macrophages in the prognosis of triple-negative breast cancer
Xin’an Wang,
No information about this author
Lin Li,
No information about this author
Xue Zhang
No information about this author
et al.
Frontiers in Immunology,
Journal Year:
2024,
Volume and Issue:
15
Published: Dec. 24, 2024
Background
Triple-negative
breast
cancer
(TNBC)
is
the
most
aggressive
subtype
of
cancer,
with
worst
prognosis
among
all
subtypes.
The
impact
distinct
cell
subpopulations
within
tumor
microenvironment
(TME)
on
TNBC
patient
has
yet
to
be
clarified.
Methods
Utilizing
single-cell
RNA
sequencing
(scRNA-seq)
integrated
bulk
(bulk
RNA-seq),
we
applied
Cox
regression
models
compute
hazard
ratios,
and
cross-validated
prognostic
scoring
using
a
GLMNET-based
model.
Cell
communication
analysis
was
used
elucidate
potential
mechanisms
CPVL
MSR1.
Ultimately,
interference-mediated
gene
knockdown
utilized
validate
specific
genes
polarization
tumor-associated
macrophages
(TAMs).
Results
Our
findings
revealed
that
function
immune
cells
more
pivotal
in
prognosis,
TAMs
showing
strongest
correlation
outcomes,
compared
other
cells.
Additionally,
identified
MSR1
as
critical
TAMs,
expression
positively
correlated
favorable
outcomes
associated
poorer
prognosis.
Mechanistically,
may
contribute
by
inhibiting
SPP1-CD44
ligand-receptor
promoting
CXCL9-CXCR3,
C3-C3AR1
ligand-receptor,
through
which
interact
such
monocytes,
neutrophils,
T
Moreover,
cytokines
including
IL-18,
IFNγR1,
CCL20,
CCL2,
along
complement-related
like
TREM2
complement
component
CFD,
participate
process
or
regulating
macrophage
polarization.
Furthermore,
RT-PCR
experiments
confirmed
M1-like
TAM
polarization,
while
linked
M2-like
Finally,
significance
these
two
also
validated
HER2-positive
Conclusions
are
biomarkers
for
macrophage-mediated
suggesting
therapeutic
targeting
TNBC.
Language: Английский