Single-cell profiling transcriptomic reveals cellular heterogeneity and cellular crosstalk in breast cancer lymphatic node, bone, and brain metastases
Longyu Zhu,
No information about this author
Miao Liu,
No information about this author
Yuguang Shang
No information about this author
et al.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Jan. 17, 2025
Breast
cancer
is
the
most
common
malignant
tumor
in
world,
and
its
metastasis
main
cause
of
death
breast
patients.
However,
differences
between
primary
tissue
lymphatic
node,
bone,
brain
metastases
at
single-cell
level
are
not
fully
understood.
We
analyzed
microenvironment
heterogeneity
samples
(n
=
4),
node
3),
bone
2)
using
sequencing
data
from
GEO
database.
The
epithelial
cells
were
characterized
by
InferCNV
algorithm.
cell-cell
communication
was
CellChat
package.
biological
function
cell
subpopulations
gene
set
variation
analysis.
expression
STMN1
immunohistochemical
staining.
proportion
pCAFs
explored
multispectral
identified
seven
clusters
metastatic
(Lymphatic
brain,
metastases)
analyzing
transcriptomic
profiles.
T-NK
B
dominated
with
metastasis,
whereas
fibroblasts
prevalent
cancer.
five
T
(T
memory,
CD8
+
cells,
regulatory
natural
killer
CD4
cells),
three
(naïve
memory
plasma
cancer-associated
(CAFs)
(Smooth
muscle
(SMC),
pericyte,
antigen-presenting
CAFs
(apCAFs),
proliferative
(pCAFs),
matrix
(mCAFs)).
Notably.
metastasis.
Furthermore,
we
four
subpopulations:
G0,
G1,
G2,
G3.
G2
population
exhibited
strong
invasion
ability,
it
can
differentiate
into
G3
ability
proliferation-related
G1
after
Cell-cell
demonstrated
an
interaction
metastasis-associated
cells.
Finally,
discovered
that
advanced
cancer,
pCAF
increased
associated
a
poor
prognosis
This
study
elucidated
potential
cellular
origins
drivers
to
nodes,
utilizing
prognosis.
Language: Английский
Thiazolidinedione derivatives in cancer therapy: exploring novel mechanisms, therapeutic potentials, and future horizons in oncology
Naunyn-Schmiedeberg s Archives of Pharmacology,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 2, 2024
Language: Английский
Single-Cell RNA-Sequencing: Opening New Horizons for Breast Cancer Research
Lingyan Xiang,
No information about this author
Jie Rao,
No information about this author
Jingping Yuan
No information about this author
et al.
International Journal of Molecular Sciences,
Journal Year:
2024,
Volume and Issue:
25(17), P. 9482 - 9482
Published: Aug. 31, 2024
Breast
cancer
is
the
most
prevalent
malignant
tumor
among
women
with
high
heterogeneity.
Traditional
techniques
frequently
struggle
to
comprehensively
capture
intricacy
and
variety
of
cellular
states
interactions
within
breast
cancer.
As
global
precision
medicine
rapidly
advances,
single-cell
RNA
sequencing
(scRNA-seq)
has
become
a
highly
effective
technique,
revolutionizing
research
by
offering
unprecedented
insights
into
heterogeneity
complexity
This
cutting-edge
technology
facilitates
analysis
gene
expression
profiles
at
level,
uncovering
diverse
cell
types
microenvironment.
By
dissecting
composition
transcriptional
signatures
cells,
scRNA-seq
provides
new
perspectives
for
understanding
mechanisms
behind
therapy,
drug
resistance
metastasis
in
In
this
review,
we
summarized
working
principle
workflow
emphasized
major
applications
discoveries
research,
highlighting
its
impact
on
our
comprehension
biology
potential
guiding
personalized
treatment
strategies.
Language: Английский
The development of the occurrence and metastasis of breast cancer by single-cell sequencing
Man Chen,
No information about this author
Mengya Feng,
No information about this author
Hai Lei
No information about this author
et al.
Cancer Cell International,
Journal Year:
2024,
Volume and Issue:
24(1)
Published: Oct. 26, 2024
Breast
cancer
is
currently
the
most
frequent
malignant
tumor
and
leading
cause
of
death
among
women
globally.
Although
five-year
survival
rate
for
early
breast
has
risen
to
more
than
90%,
medication
resistance
persists
in
advanced
some
intractable
cancer,
resulting
a
poor
prognosis,
high
recurrence
rate,
low
rate.
Single-cell
sequencing
(SCS)
study
single
cell's
gene
structure
expression
level
differences
order
discover
unusual
molecular
subgroups,
disease
development,
variety
mechanisms.
This
review
briefly
discusses
single-cell
its
application,
lists
research
on
development
metastasis
bring
fresh
ideas
comprehensive
treatment
cancer.
Language: Английский