Cellular and Molecular Immunology,
Journal Year:
2022,
Volume and Issue:
19(9), P. 1012 - 1029
Published: Aug. 12, 2022
Cancer
is
a
complex
disease,
and
despite
incredible
progress
over
the
last
decade,
it
remains
leading
cause
of
death
worldwide.
Liver
cancers,
including
hepatocellular
carcinoma
(HCC),
liver
metastases
are
distinct
from
other
cancers
in
that
they
typically
emerge
as
consequence
long-term
low-grade
inflammation.
Understanding
mechanisms
underpin
inflammation-driven
tissue
remodeling
hepatic
immune
environment
likely
to
provide
new
insights
into
much
needed
treatments
for
this
devastating
disease.
Group
1
innate
lymphoid
cells
(ILCs),
which
include
natural
killer
(NK)
ILC1s,
particularly
enriched
thought
contribute
pathogenesis
number
diseases,
cancer.
NK
an
attractive,
but
underexplored,
therapeutic
target
disease
due
their
role
immunosurveillance
ability
recognize
eliminate
malignant
cells.
ILC1s
closely
related
share
many
phenotypic
features
with
less
well
studied.
Thus,
utility
immunotherapeutic
approaches
not
yet
understood.
Here,
we
review
our
current
understanding
ILCs
cancer
particular
focus
on
liver-related
diseases.
Cancers,
Journal Year:
2022,
Volume and Issue:
14(16), P. 3972 - 3972
Published: Aug. 17, 2022
Cancer
immunotherapy
has
revolutionized
the
field
of
oncology
in
recent
years.
Harnessing
immune
system
to
treat
cancer
led
a
large
growth
number
novel
immunotherapeutic
strategies,
including
checkpoint
inhibition,
chimeric
antigen
receptor
T-cell
therapy
and
vaccination.
In
this
review,
we
will
discuss
current
landscape
immuno-oncology
research,
with
focus
on
elements
that
influence
outcomes.
We
also
highlight
advances
basic
aspects
tumor
immunology,
particular,
role
immunosuppressive
cells
within
microenvironment
regulating
antitumor
immunity.
Lastly,
how
understanding
immunology
can
lead
development
new
strategies.
Nature Communications,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: March 18, 2024
The
potential
of
immune
checkpoint
inhibitors
(ICI)
may
be
limited
in
situations
where
cell
fitness
is
impaired.
Here,
we
show
that
the
efficacy
cancer
immunotherapies
compromised
by
accumulation
senescent
cells
mice
and
context
therapy-induced
senescence
(TIS).
Resistance
to
immunotherapy
associated
with
a
decrease
activation
CD8
T
within
tumors.
Elimination
restores
homeostasis
tumor
micro-environment
(TME)
increases
survival
response
immunotherapy.
Using
single-cell
transcriptomic
analysis,
observe
injection
ABT263
(Navitoclax)
reverses
exacerbated
immunosuppressive
profile
myeloid
TME.
these
also
proliferation
vitro
abrogates
resistance
vivo.
Overall,
our
study
suggests
use
senolytic
drugs
before
ICI
constitute
pharmacological
approach
improve
effectiveness
immunotherapies.
npj Precision Oncology,
Journal Year:
2024,
Volume and Issue:
8(1)
Published: March 14, 2024
At
least
40%
of
human
cancers
are
associated
with
aberrant
ERK
pathway
activity
(ERKp).
Inhibitors
targeting
various
effectors
within
the
ERKp
have
been
developed
and
explored
for
over
two
decades.
Conversely,
a
substantial
body
evidence
suggests
that
both
normal
cells
and,
notably
to
greater
extent,
cancer
exhibit
susceptibility
hyperactivation
ERKp.
However,
this
vulnerability
remains
relatively
unexplored.
In
review,
we
reexamine
on
selective
lethality
highly
elevated
in
varying
backgrounds.
We
synthesize
insights
proposed
harnessing
ERK-associated
therapeutical
approaches
contextualize
these
established
pharmacological
cancer-targeting
models.
Moreover,
compile
intriguing
preclinical
findings
agonism
diverse
Lastly,
present
conceptual
framework
target
discovery
regarding
agonism,
emphasizing
utilization
mutual
exclusivity
among
oncogenes
develop
novel
targeted
therapies
precision
oncology.
iScience,
Journal Year:
2024,
Volume and Issue:
27(6), P. 109979 - 109979
Published: May 15, 2024
This
review
explores
the
hallmarks
of
cancer
resistance,
including
drug
efflux
mediated
by
ATP-binding
cassette
(ABC)
transporters,
metabolic
reprogramming
characterized
Warburg
effect,
and
dynamic
interplay
between
cells
mitochondria.
The
role
stem
(CSCs)
in
treatment
resistance
regulatory
influence
non-coding
RNAs,
such
as
long
RNAs
(lncRNAs),
microRNAs
(miRNAs),
circular
(circRNAs),
are
studied.
chapter
emphasizes
future
directions,
encompassing
advancements
immunotherapy,
strategies
to
counter
adaptive
integration
artificial
intelligence
for
predictive
modeling,
identification
biomarkers
personalized
treatment.
comprehensive
exploration
these
provides
a
foundation
innovative
therapeutic
approaches,
aiming
navigate
complex
landscape
enhance
patient
outcomes.
Pharmaceutics,
Journal Year:
2023,
Volume and Issue:
15(9), P. 2349 - 2349
Published: Sept. 19, 2023
Gold
nanoparticles
(AuNPs)
have
received
great
attention
for
various
medical
applications
due
to
their
unique
physicochemical
properties.
AuNPs
with
tunable
optical
properties
in
the
visible
and
near-infrared
regions
been
utilized
a
variety
of
such
as
vitro
diagnostics,
vivo
imaging,
therapeutics.
Among
applications,
this
review
will
pay
more
recent
developments
diagnostic
therapeutic
based
on
photothermal
(PT)
effect
AuNPs.
In
particular,
PT
has
played
an
important
role
utilizing
light,
photoacoustic
photon
polymerase
chain
reaction
(PCR),
hyperthermia
therapy.
First,
we
discuss
fundamentals
detail
understand
background
For
ability
efficiently
convert
absorbed
light
energy
into
heat
generate
enhanced
acoustic
waves
can
lead
significant
enhancements
signal
intensity.
Integration
PCR
may
open
new
opportunities
technological
innovation
called
photonic
PCR,
where
is
used
enable
fast
accurate
temperature
cycling
DNA
amplification.
Additionally,
beyond
existing
thermotherapy
AuNPs,
be
further
applied
cancer
immunotherapy.
Controlled
damage
cells
triggers
immune
response,
which
useful
obtaining
better
outcomes
combination
checkpoint
inhibitors
or
vaccines.
Therefore,
examines
nanomedicine
among
understands
basic
principles,
advantages
disadvantages
each
technology,
importance
multidisciplinary
approach.
Based
this,
it
expected
that
help
current
status
development
direction
nanoparticle-based
disease
diagnosis
methods
treatment
methods,
hope
inspire
innovative
technologies.
Frontiers in Oncology,
Journal Year:
2023,
Volume and Issue:
13
Published: June 22, 2023
The
efficacy
of
cancer
therapies
is
limited
to
a
great
extent
by
immunosuppressive
mechanisms
within
the
tumor
microenvironment
(TME).
Numerous
immune
escape
have
been
identified.
These
include
not
only
processes
associated
with
tumor,
or
stromal
cells,
but
also
humoral,
metabolic,
genetic
and
epigenetic
factors
TME.
identification
has
enabled
development
small
molecules,
nanomedicines,
checkpoint
inhibitors,
adoptive
cell
that
can
reprogram
TME
shift
host
response
towards
promoting
an
antitumor
effect.
approaches
translated
into
series
breakthroughs
in
therapies,
some
which
already
implemented
clinical
practice.
In
present
article
authors
provide
overview
most
important
immunosuppression
implications
for
targeted
against
different
cancers.
Frontiers in Immunology,
Journal Year:
2024,
Volume and Issue:
15
Published: March 8, 2024
Numerous
studies
have
shown
that
immune
checkpoint
inhibitor
(ICI)
immunotherapy
has
great
potential
as
a
cancer
treatment,
leading
to
significant
clinical
improvements
in
numerous
cases.
However,
it
benefits
minority
of
patients,
underscoring
the
importance
discovering
reliable
biomarkers
can
be
used
screen
for
beneficiaries
and
ultimately
reduce
risk
overtreatment.
Our
comprehensive
review
focuses
on
latest
advancements
predictive
ICI
therapy,
particularly
emphasizing
those
enhance
efficacy
programmed
cell
death
protein
1
(PD-1)/programmed
death-ligand
(PD-L1)
inhibitors
cytotoxic
T-lymphocyte
antigen-4
(CTLA-4)
immunotherapies.
We
explore
derived
from
various
sources,
including
tumor
cells,
microenvironment
(TIME),
body
fluids,
gut
microbes,
metabolites.
Among
them,
cells-derived
include
mutational
burden
(TMB)
biomarker,
neoantigen
(TNB)
microsatellite
instability
(MSI)
PD-L1
expression
mutated
gene
pathways,
epigenetic
biomarkers.
TIME-derived
landscape
TIME
biomarkers,
inhibitory
checkpoints
repertoire
also
discuss
techniques
detect
assess
these
detailing
their
respective
datasets,
strengths,
weaknesses,
evaluative
metrics.
Furthermore,
we
present
computer
models
predicting
response
therapy.
The
knowledge-based
mechanistic
data-based
machine
learning
(ML)
models.
are
pharmacokinetic/pharmacodynamic
(PK/PD)
models,
partial
differential
equation
(PDE)
signal
networks-based
quantitative
systems
pharmacology
(QSP)
agent-based
(ABMs).
ML
linear
regression
logistic
support
vector
(SVM)/random
forest/extra
trees/k-nearest
neighbors
(KNN)
artificial
neural
network
(ANN)
deep
Additionally,
there
hybrid
biology
ML.
summarized
details
outlining
datasets
they
utilize,
evaluation
methods/metrics,
strengths
limitations.
By
summarizing
major
advances
research
therapeutic
effect
utility
ICI,
aim
assist
researchers
choosing
appropriate
or
exploration
help
clinicians
conduct
precision
medicine
by
selecting
best