International Journal of Medical Sciences,
Journal Year:
2021,
Volume and Issue:
18(12), P. 2521 - 2531
Published: Jan. 1, 2021
Developing
treatment
strategies
for
triple-negative
breast
cancer
(TNBC)
has
become
an
important
clinical
challenge.
Currently,
taxane-based
chemotherapy
is
one
of
the
standard
treatments
TNBC.
However,
determining
key
factor
taxane-resistance
urgently
in
need
cancer.
We
used
GEO
data
to
generate
paclitaxel
resistance
two
basal-like
TNBC
cell
lines
(SUM149
and
MDA-MB-468).
Seventy-one
common
upregulated
differentially
expressed
genes
(DEGs)
11
downregulated
DEGs
were
found
be
related
resistance.
By
constructing
protein-protein
interactions,
28
hub
proteins
with
a
degree
cutoff
criterion
≥1
found.
Nine
(
Environmental Toxicology,
Journal Year:
2024,
Volume and Issue:
39(6), P. 3448 - 3472
Published: March 7, 2024
Globally,
breast
cancer,
with
diverse
subtypes
and
prognoses,
necessitates
tailored
therapies
for
enhanced
survival
rates.
A
key
focus
is
glutamine
metabolism,
governed
by
select
genes.
This
study
explored
genes
associated
T
cells
linked
them
to
metabolism
construct
a
prognostic
staging
index
cancer
patients
more
precise
medical
treatment.
Cancer Cell International,
Journal Year:
2018,
Volume and Issue:
18(1)
Published: Nov. 12, 2018
Some
progresses
have
been
made
in
research
of
long
non-coding
RNA
(hereunder
referred
to
as
LncRNA)
related
breast
cancer.
Lots
data
about
LncRNA
transcription
concerning
cancer
obtained
from
large-scale
omics
(e.g.
transcriptomes
and
chips).
LncRNAs
would
become
indices
for
detecting
judging
its
development
prognosis.
may
affect
genesis
multiple
ways.
Perhaps
they
could
develop
into
potential
targets
treating
if
are
carcinogenic.
Like
those
other
studies
cancer,
many
gained
remain
be
validated
by
much
experimental
work.
For
instance,
it
is
still
necessary
demonstrate
reliability
diagnosing
prognosis
(particularly
various
subtypes
cancer),
effectiveness
feasibility
these
genes
targets.
In
this
paper,
recent
years’
literatures
which
summarized
sorted
out
review
the
relationships
between
Cell Proliferation,
Journal Year:
2020,
Volume and Issue:
54(2)
Published: Dec. 13, 2020
Triple-negative
breast
cancer
(TNBC)
is
a
type
of
that
has
higher
risk
distant
recurrence
and
metastasis,
leading
to
relatively
aggressive
biological
behaviour
poor
outcome.
So
far,
the
clinical
management
TNBC
challenging
because
its
heterogeneity
paucity
specific
targeted
therapy.
Recently,
various
studies
have
identified
lot
differently
expressed
long
non-coding
RNAs
(lncRNAs)
in
TNBC.
Those
lncRNAs
been
reported
play
important
roles
multistep
process
tumorigenesis.
Here,
we
review
characteristics
lncRNAs,
present
current
state
knowledge
concerning
expression,
function
regulation
Accumulating
explored
potential
lncRNAs-based
therapeutics
TNBC,
including
techniques
genetic
modification
using
antisense
oligonucleotides,
locked
nucleic
acid
RNA
nanotechnology.
In
review,
also
discuss
future
prospects
about
development
lncRNA-based
strategies
for
patients.
Cell Proliferation,
Journal Year:
2020,
Volume and Issue:
53(5)
Published: April 6, 2020
Abstract
Triple‐negative
breast
cancer
(TNBC)
is
one
of
the
most
aggressive
subtypes
with
negativity
for
oestrogen
receptor
(ER),
progesterone
(PR)
and
human
epidermal
growth
factor
(HER2).
Non‐coding
RNAs
(ncRNAs)
make
up
transcriptome
are
widely
present
in
eukaryotic
cells.
In
recent
years,
emerging
evidence
suggests
that
ncRNAs,
mainly
microRNAs
(miRNAs),
long
ncRNAs
(lncRNAs)
circular
(circRNAs),
play
prominent
roles
tumorigenesis
development
TNBC,
but
functions
have
not
been
fully
described.
this
review,
we
systematically
elucidate
general
characteristics
biogenesis
miRNAs,
lncRNAs
circRNAs,
discuss
these
TNBC
future
perspectives
clinical
practice.
International Journal of General Medicine,
Journal Year:
2024,
Volume and Issue:
Volume 17, P. 1773 - 1787
Published: May 1, 2024
Abstract:
Collagen,
the
predominant
protein
constituent
of
mammalian
extracellular
matrix
(ECM),
comprises
a
diverse
family
28
members
(I–XXVIII).
Beyond
its
structural
significance,
collagen
is
implicated
in
various
diseases
or
cancers,
notably
breast
cancer,
where
it
influences
crucial
cellular
processes
including
proliferation,
metastasis,
apoptosis,
and
drug
resistance,
intricately
shaping
cancer
progression
prognosis.
In
distinct
collagens
exhibit
differential
expression
profiles,
with
some
showing
heightened
diminished
levels
cancerous
tissues
cells
compared
to
normal
counterparts,
suggesting
specific
pivotal
biological
functions.
this
review,
we
meticulously
analyze
individual
utilizing
Transcripts
Per
Million
(TPM)
data
sourced
from
GEPIA2
database.
Through
analysis,
identify
that
deviate
patterns
providing
comprehensive
overview
their
dynamics,
functional
roles,
underlying
mechanisms.
Our
findings
shed
light
on
recent
advancements
understanding
intricate
interplay
between
these
aberrantly
expressed
cancer.
This
exploration
aims
offer
valuable
insights
for
identification
potential
biomarkers
therapeutic
targets,
thereby
advancing
prospects
more
effective
interventions
treatment.
Keywords:
collagen,
matrix,
prognostic
marker
Journal of Cellular Physiology,
Journal Year:
2020,
Volume and Issue:
235(6), P. 5059 - 5071
Published: Jan. 17, 2020
Abstract
Breast
cancer
is
a
major
clinical
challenge
that
affects
wide
range
of
the
female
population
and
heavily
burdens
health
system.
In
past
few
decades,
attempts
have
been
made
to
understand
etiology
breast
cancer,
possible
environmental
risk
factors,
genetic
predispositions,
pathogenesis,
molecular
aberrations
involved
in
process.
Studies
shown
heterogeneous
entity;
each
subtype
has
its
specific
set
different
cell
signaling
pathways,
such
as
Notch,
Wnt/β‐catenin,
transforming
growth
factor‐β,
mitogen‐activated
protein
kinase
pathways.
One
novel
group
molecules
be
inducted
regulation
multiple
pathways
long
noncoding
RNAs
(lncRNAs).
These
important
implications
by
interacting
with
various
genes,
affecting
transcription
process,
finally,
playing
roles
posttranslational
control
these
genes.
There
growing
evidence
lncRNAs
are
process
formation
effecting
aforementioned
this
involvement
can
significant
diagnostic
prognostic
values
contexts.
The
present
review
aims
elicit
significance
resulting
changes
survival,
proliferation,
invasion,
which
hallmarks
cancer.
Biomedicine & Pharmacotherapy,
Journal Year:
2021,
Volume and Issue:
141, P. 111812 - 111812
Published: June 11, 2021
Long
noncoding
RNAs
(lncRNAs)
are
more
than
200
nucleotides
in
length.
A
growing
number
of
reports
indicate
that
lncRNAs
play
a
key
role
multiple
cancers
by
serving
as
oncogenes
or
tumor
suppressor
genes.
MAGI2
antisense
RNA
3
(MAGI2-AS3)
is
ubiquitously
expressed
human
cancers,
and
the
level
MAGI2-AS3
expression
associated
with
progression
prognosis
cancers.
Moreover,
dysregulation
has
been
found
to
regulate
cancer
cell
proliferation,
death,
invasion
metastasis
treatment
resistance
competing
endogenous
(ceRNA),
epigenomic
regulator,
transcriptional
regulator.
increasing
evidence
shows
may
be
potential
biomarker
for
target
therapy.
In
this
review,
we
summarize
current
research
on
functions,
mechanisms
clinical
significance
lncRNA
development.
Clinical Genetics,
Journal Year:
2019,
Volume and Issue:
95(5), P. 558 - 568
Published: Jan. 8, 2019
Breast
Cancer
(BC)
is
the
most
commonly
diagnosed
cancer
and
leading
cause
of
deaths
in
women.
BC
a
heterogeneous
disease
with
different
clinical
genetic
features.
According
to
immunohistochemical
markers,
subdivided
into
four
main
subtypes:
luminal
A,
B,
ERBB2
positive
triple
negative.
Long
non‐coding
RNAs
(lncRNAs)
are
transcripts
more
than
200
nucleotides
deregulated
lncRNAs
associated
human
diseases,
including
BC.
In
order
improve
molecular
classification,
(ncRNAs),
lncRNAs,
have
been
used.
this
review,
we
focus
on
differential
expression
subtypes
how
these
may
act
contribute
heterogeneity.
We
also
emphasize
potential
as
biomarkers.
Cancer Cell International,
Journal Year:
2019,
Volume and Issue:
19(1)
Published: June 28, 2019
Triple
negative
breast
cancer
(TNBC)
is
a
specific
subtype
of
with
poor
prognosis
due
to
its
aggressive
biological
behaviour
and
lack
therapeutic
targets.
We
aimed
explore
some
novel
genes
pathways
related
TNBC
through
bioinformatics
methods
as
well
potential
initiation
progression
mechanisms.Breast
mRNA
data
were
obtained
from
The
Cancer
Genome
Atlas
database
(TCGA).
Differential
expression
analysis
adjacent
cancer,
as,
triple
non-triple
performed
using
R
software.
key
the
pathogenesis
identified
by
functional
pathway
enrichment
protein-protein
interaction
network
analysis.
Based
on
univariate
multivariate
Cox
proportional
hazards
model
analyses,
gene
signature
was
established
predict
overall
survival.
Receiver
operating
characteristic
curve
used
evaluate
prognostic
performance
our
model.Based
profiling
patients
TCGA
database,
755
differentially
expressed
overlapping
mRNAs
detected
between
TNBC/non-TNBC
samples
normal
tissue.
found
eight
hub
associated
cell
cycle
highly
in
TNBC.
Additionally,
six-gene
(TMEM252,
PRB2,
SMCO1,
IVL,
SMR3B
COL9A3)
constructed
significantly
an
independent
signature.
high-risk
scores
based
6-mRNAs
had
shorter
survival
times
compared
low-risk
(P
<
0.0001).The
we
might
be
tightly
correlated
pathogenesis.
6-mRNA
act
biomarker
potentially
good
predicting
