Diseases,
Journal Year:
2025,
Volume and Issue:
13(1), P. 24 - 24
Published: Jan. 20, 2025
Background:
Cancer
remains
a
leading
cause
of
morbidity
and
mortality
worldwide.
Traditional
treatments
like
chemotherapy
radiation
often
result
in
significant
side
effects
varied
patient
outcomes.
Immunotherapy
has
emerged
as
promising
alternative,
harnessing
the
immune
system
to
target
cancer
cells.
However,
complexity
responses
tumor
heterogeneity
challenges
its
effectiveness.
Objective:
This
mini-narrative
review
explores
role
artificial
intelligence
[AI]
enhancing
efficacy
immunotherapy,
predicting
responses,
discovering
novel
therapeutic
targets.
Methods:
A
comprehensive
literature
was
conducted,
focusing
on
studies
published
between
2010
2024
that
examined
application
AI
immunotherapy.
Databases
such
PubMed,
Google
Scholar,
Web
Science
were
utilized,
articles
selected
based
relevance
topic.
Results:
significantly
contributed
identifying
biomarkers
predict
immunotherapy
by
analyzing
genomic,
transcriptomic,
proteomic
data.
It
also
optimizes
combination
therapies
most
effective
treatment
protocols.
AI-driven
predictive
models
help
assess
response
guiding
clinical
decision-making
minimizing
effects.
Additionally,
facilitates
discovery
targets,
neoantigens,
enabling
development
personalized
immunotherapies.
Conclusions:
holds
immense
potential
transforming
related
data
privacy,
algorithm
transparency,
integration
must
be
addressed.
Overcoming
these
hurdles
will
likely
make
central
component
future
offering
more
treatments.
Cancer Letters,
Journal Year:
2024,
Volume and Issue:
593, P. 216960 - 216960
Published: May 17, 2024
Extracellular
vesicles
(EVs)
have
been
the
subject
of
an
exponentially
growing
number
studies
covering
their
biogenesis
mechanisms,
isolation
and
analysis
techniques,
physiological
pathological
roles,
clinical
applications,
such
as
biomarker
therapeutic
uses.
Nevertheless,
heterogeneity
EVs
both
challenges
our
understanding
them
presents
new
opportunities
for
potential
application.
Recently,
EV
field
experienced
a
wide
range
advances.
However,
also
remain
huge.
This
review
focuses
on
recent
progress
difficulties
encountered
in
practical
use
settings.
In
addition,
we
explored
concept
to
acquire
more
thorough
involvement
cancer,
specifically
focusing
fundamental
nature
EVs.
Expert Review of Molecular Diagnostics,
Journal Year:
2024,
Volume and Issue:
24(4), P. 299 - 310
Published: Feb. 5, 2024
Introduction
Tumor-infiltrating
lymphocytes
(TILs)
have
been
investigated
as
prognostic
factors
in
melanoma.
Recent
advancements
assessing
the
tumor
microenvironment
setting
of
more
widespread
use
immune
checkpoint
blockade
reignited
interest
identifying
predictive
biomarkers.
This
review
examines
function
and
significance
TILs
cutaneous
melanoma,
evaluating
their
potential
markers.
Molecular Oncology,
Journal Year:
2024,
Volume and Issue:
18(4), P. 969 - 987
Published: Feb. 7, 2024
Immunotherapies
for
malignant
melanoma
seek
to
boost
the
anti‐tumoral
response
of
CD8
+
T
cells,
but
have
a
limited
patient
rate,
in
part
due
tumoral
immune
cell
infiltration.
Genetic
or
pharmacological
inhibition
pannexin
1
(PANX1)
channel‐forming
protein
is
known
decrease
tumorigenic
properties
vitro
and
ex
vivo
.
Here,
we
crossed
Panx1
knockout
(
−/−
)
mice
with
inducible
model
Braf
CA
,
Pten
loxP
Tyr::CreER
T2
(BPC).
We
found
that
deleting
gene
does
not
reduce
BRAF(V600E)/Pten‐driven
primary
tumor
formation
improve
survival.
However,
tumors
BPC‐
exhibited
significant
increase
infiltration
lymphocytes,
no
changes
expression
early
T‐cell
activation
marker
CD69,
lymphocyte
3
(LAG‐3)
checkpoint
receptor,
programmed
death
ligand‐1
(PD‐L1)
when
compared
+/+
genotype.
Our
results
suggest
that,
although
deletion
overturn
aggressive
BRAF
/
‐driven
progression
it
effector
populations
microenvironment.
propose
PANX1‐targeted
therapy
could
be
explored
as
strategy
tumor‐infiltrating
lymphocytes
anti‐tumor
immunity.
Journal of Translational Medicine,
Journal Year:
2025,
Volume and Issue:
23(1)
Published: Jan. 22, 2025
Cutaneous
melanoma
is
one
of
the
most
aggressive
skin
cancers
originating
from
pigment
cells.
Patients
with
advanced
suffer
a
poor
prognosis
and
generally
cannot
benefit
well
surgical
resection
chemo/target
therapy
due
to
metastasis
drug
resistance.
Thus,
adoptive
cell
(ACT),
employing
immune
cells
specific
tumor-recognizing
receptors,
has
emerged
as
promising
therapeutic
approach
display
on-tumor
toxicity.
This
review
discusses
application,
efficacy,
limitations,
future
prospects
four
commonly
utilized
approaches
-including
tumor-infiltrating
lymphocytes,
chimeric
antigen
receptor
(CAR)
T
cell,
engineered
T-cell
cells,
NK
cells-
in
context
malignant
melanoma.
Expert Review of Molecular Diagnostics,
Journal Year:
2024,
Volume and Issue:
24(5), P. 379 - 392
Published: May 3, 2024
Over
the
past
decade,
significant
advancements
in
field
of
melanoma
have
included
introduction
a
new
staging
system
and
development
immunotherapy
targeted
therapies,
leading
to
changes
substage
classification
impacting
patient
prognosis.
Despite
these
strides,
early
detection
remains
paramount.
The
quest
for
dependable
prognostic
biomarkers
is
ongoing,
given
melanoma's
unpredictable
nature,
especially
identifying
patients
at
risk
relapse.
Reliable
are
critical
informed
treatment
decisions.
Health Science Reports,
Journal Year:
2024,
Volume and Issue:
7(7)
Published: July 1, 2024
Abstract
Background
and
Aims
The
tumor
microenvironment
(TME)
exerts
an
important
role
in
carcinogenesis
progression.
Several
investigations
have
suggested
that
immune
cell
infiltration
(ICI)
is
of
high
prognostic
importance
for
progression
patient
survival
many
tumors,
particularly
prostate
cancer.
pattern
PCa,
on
the
other
hand,
has
not
been
thoroughly
understood.
Methods
Cancer
Genome
Atlas
(TCGA)
Gene
Expression
Omnibus
(GEO)
datasets
PCa
were
obtained,
several
merged
into
one
data
set
using
“ComBat”
algorithm.
ICI
profiles
patients
then
to
be
uncovered
by
two
computer
techniques.
unsupervised
clustering
method
was
utilized
identify
three
patterns
samples,
Principal
Component
Analysis
(PCA)
conducted
estimate
score.
Results
Three
different
clusters
ICIs
identified
1341
which
also
correlated
with
clinical
features/characteristics
biological
pathways.
Patients
are
classified
low
subtypes
based
scores
extracted
from
immune‐associated
signature
genes.
High
score
associated
a
worse
prognosis,
may
intrigue
activation
cancer‐related
immune‐related
pathways
such
as
involving
Toll‐like
receptors,
T‐cell
JAK‐STAT,
natural
killer
cells.
linked
mutation
load
immune/cancer‐relevant
signaling
pathways,
explain
cancer's
poor
prognosis.
Conclusion
findings
this
study
only
advanced
our
knowledge
mechanism
response
but
provided
novel
biomarker,
is,
score,
disease
prognosis
guiding
precision
immunotherapy.
Cancer Medicine,
Journal Year:
2024,
Volume and Issue:
13(16)
Published: Aug. 1, 2024
Immune-checkpoint
inhibitors
are
now
used
more
commonly
in
combination
than
monotherapy
as
the
first-line
choice
patients
with
unresectable
advanced
melanoma.
Nevertheless,
for
cases
that
progressed
after
initial
therapy,
subsequent
regimen
option
can
be
very
difficult.
Herein,
we
reported
efficacy
and
safety
of
a
triple
Chinese
melanoma
who
had
poor
responses
to
immune
therapy.