International Journal of Nanomedicine,
Journal Year:
2024,
Volume and Issue:
Volume 19, P. 10699 - 10710
Published: Oct. 1, 2024
Oral
squamous
cell
carcinoma
(OSCC)
is
the
most
prevalent
and
deadly
malignancy
of
head
neck.
The
standard
treatments
for
OSCC
are
surgery,
radiotherapy,
chemoradiotherapy,
which
can
cause
severe
cosmetic
functional
damage
to
oral
cavity
impair
patients'
quality
life.
Photodynamic
therapy
(PDT)
a
promising
alternative
that
uses
light-activated
photosensitizers
induce
selective
phototoxicity
necrosis
in
target
tissues.
PDT
has
several
advantages
over
conventional
treatments,
such
as
minimal
invasion,
low
side
effects,
high
selectivity
preservation
function
appearance.
This
review
explores
principles,
mechanisms,
current
applications
OSCC.
We
address
challenges,
depth
light
penetration
tissue
hypoxia,
underscore
progressive
innovations
photosensitizer
enhancement,
nanotechnological
integration,
precision
therapy.
exploration
biomarkers
refining
patient
selection
tailoring
individualized
treatment
regimens
also
undertaken.
holds
promise
secure
efficacious
modality
management.
Nonetheless,
additional
investigation
imperative
refine
protocols
validate
sustained
therapeutic
success.
Periodontology 2000,
Journal Year:
2023,
Volume and Issue:
96(1), P. 250 - 280
Published: Dec. 10, 2023
The
oral
squamous
cell
carcinoma
(OSCC)
5
year
survival
rate
of
41%
has
marginally
improved
in
the
last
few
years,
with
less
than
a
1%
improvement
per
from
2005
to
2017,
higher
rates
when
detected
at
early
stages.
Based
on
histopathological
grading
dysplasia,
it
is
estimated
that
severe
dysplasia
malignant
transformation
7%-50%.
Despite
these
numbers,
does
not
reliably
predict
its
clinical
behavior.
Thus,
more
accurate
markers
predicting
progression
cancer
would
enable
better
targeting
lesions
for
closer
follow-up,
especially
stages
disease.
In
this
context,
molecular
biomarkers
derived
genetics,
proteins,
and
metabolites
play
key
roles
oncology.
These
signatures
can
help
likelihood
OSCC
development
and/or
have
potential
detect
disease
an
stage
and,
support
treatment
decision-making
responsiveness.
Also,
identifying
reliable
detection
be
obtained
non-invasively
enhance
management
OSCC.
This
review
will
discuss
emerged
different
biological
areas,
including
genomics,
transcriptomics,
proteomics,
metabolomics,
immunomics,
microbiomics.
Current Oncology,
Journal Year:
2023,
Volume and Issue:
31(1), P. 168 - 182
Published: Dec. 28, 2023
Microorganisms
in
the
oral
cavity
are
abundant
human
body.
At
present,
more
than
700
species
of
microorganisms
have
been
identified.
Recently,
a
lot
literature
has
indicated
that
microbiota
plays
an
important
role
occurrence,
development,
and
prognosis
squamous
cell
carcinoma
(OSCC)
through
various
mechanisms.
And
researchers
now
trying
to
utilize
cancer
diagnosis
treatment.
However,
few
articles
systematically
summarize
effects
microbes
diagnosis,
treatment,
disease
outcomes
cancer.
Herein,
we
made
summary
microbial
changes
at
cancerous
sites
placed
emphasis
on
mechanisms
by
which
microbiome
promotes
cancerization.
Moreover,
aimed
find
out
clinical
value
OSCC.
Tissue Engineering Part A,
Journal Year:
2024,
Volume and Issue:
30(19-20), P. 640 - 651
Published: July 23, 2024
Oral
squamous
cell
carcinoma
(OSCC)
is
a
highly
unpredictable
disease
with
devastating
mortality
rates
that
have
not
changed
over
the
past
decades,
in
face
of
advancements
treatments
and
biomarkers,
which
improved
survival
for
other
cancers.
Delays
diagnosis
are
frequent,
leading
to
more
disfiguring
poor
outcomes
patients.
The
clinical
challenge
lies
identifying
those
patients
at
highest
risk
developing
OSCC.
epithelial
dysplasia
(OED)
precursor
OSCC
variable
behavior
across
There
no
reliable
clinical,
pathological,
histological,
or
molecular
biomarker
determine
individual
OED
Similarly,
there
robust
biomarkers
predict
treatment
This
review
aims
highlight
artificial
intelligence
(AI)-based
methods
develop
predictive
transformation
response.
Biomarkers
such
as
S100A7
demonstrate
promising
appraisal
malignant
OED.
Machine
learning-enhanced
multiplex
immunohistochemistry
workflows
examine
immune
patterns
organization
within
tumor
microenvironment
generate
outcome
predictions
immunotherapy.
Deep
learning
(DL)
an
AI-based
method
using
extended
neural
network
related
architecture
multiple
"hidden"
layers
simulated
neurons
combine
simple
visual
features
into
complex
patterns.
DL-based
digital
pathology
currently
being
developed
assess
outcomes.
integration
machine
epigenomics
epigenetic
modification
diseases
improve
our
ability
detect,
classify,
associated
marks.
Collectively,
these
tools
showcase
discovery
technology,
may
provide
potential
solution
addressing
current
limitations
predicting
behavior,
both
challenges
must
be
addressed
order
survival.
Frontiers in Oral Health,
Journal Year:
2025,
Volume and Issue:
6
Published: Feb. 7, 2025
Oral
squamous
cell
carcinoma
(OSCC)
is
a
prevalent
and
devastating
malignancy
of
the
oral
cavity
that
profoundly
affects
patient
survival
quality
life
(QOL).
Cleavage
Stimulation
Factor
Subunit
2
(CSTF2)
known
to
influence
tumor
development
across
multiple
cancer
types.
However,
its
specific
association
with
prognosis
immune
infiltration
in
OSCC
remains
insufficiently
understood.
To
assess
expression
levels
prognostic
implications
CSTF2
OSCC,
comprehensive
data
were
acquired
from
The
Cancer
Genome
Atlas
(TCGA)
subsequently
normalized.
Immunohistochemical
staining
tissue
microarrays
was
performed
analyze
samples.
Differences
between
adjacent
non-cancerous
samples
evaluated
using
Wilcoxon
rank-sum
test.
Functional
enrichment
analyses
have
been
identify
biological
pathways
functions
associated
CSTF2.
relationship
various
cells
assessed
single-sample
gene
set
analysis
(ssGSEA).
Ultimately,
significance
through
Kaplan-Meier
analysis,
conjunction
univariate
multivariate
Cox
regression
analyses,
as
well
receiver
operating
characteristic
(ROC)
curves.
High
observed
unfavorable
clinicopathological
variables,
including
histological
grade
lymphnode
neck
dissection.
indicated
plays
role
epidermal
differentiation,
immunoglobulin
complexes,
peptidases
endopeptidase
inhibitor
activity,
cytochrome
P450
metabolic
processes.
Additionally,
overexpression
exhibited
negative
correlation
immature
dendritic
(iDCs),
cytotoxic
cells,
plasmacytoid
(pDCs).
Notably,
elevated
significantly
reduced
outcomes.
Elevated
poor
outcomes,
highlighting
capacity
function
an
innovative
biomarker
target
for
therapeutic
interventions.
Cancer Science,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 27, 2025
ABSTRACT
Oral
squamous
cell
carcinoma
(OSCC)
is
a
prevalent
type
of
head
and
neck
neoplasm
distinguished
by
high
risk
metastasis
poor
prognosis.
Nevertheless,
the
fundamental
mechanisms
OSCC
proliferation
remain
poorly
understood.
Autophagy,
as
principal
intracellular
degradation
system,
has
been
implicated
in
progression;
however,
its
underlying
mechanism
remains
unclear.
In
this
study,
transcriptomic
sequencing
analysis
was
performed
using
both
The
Cancer
Genome
Atlas
(TCGA)
database
samples
from
patients
revealed
significant
upregulation
EPHB2
expression,
which
positively
correlated
with
subsequent
studies,
we
observed
that
knockdown
resulted
blockade
autophagic
flux
due
to
impaired
lysosomal
function,
leading
inhibited
proliferation,
migration,
invasion
cells.
Furthermore,
significantly
suppressed
expression
VPS4A,
key
mediator
facilitates
autolysosomal
degradation.
overexpression
VPS4A
restored
function
flux,
thereby
attenuating
inhibitory
effects
on
progression.
findings
study
demonstrate
molecular
regulation
promote
progression
regulating
activity
may
be
diagnostic
biomarker
therapeutic
target
for
prevention
treatment.
