Cancer Control,
Journal Year:
2025,
Volume and Issue:
32
Published: Jan. 1, 2025
Objective
To
develop
personalized
treatment
strategies
for
maintenance
therapy
in
patients
with
extensive-stage
small
cell
lung
cancer
(ES-SCLC).
Materials
and
Methods
We
analyzed
data
from
ES-SCLC
who
achieved
stable
disease
(SD)
following
initial
chemotherapy
combined
immunotherapy.
These
subsequently
received
(MT)
a
combination
of
anlotinib
PD-1/L1
inhibitors.
The
primary
endpoints
included
progression-free
survival
(PFS),
overall
(OS),
objective
response
rate
(ORR),
control
(DCR),
treatment-related
adverse
events
(AEs).
Results
Preliminary
findings
suggest
that
this
regimen
is
highly
effective,
median
PFS
6
months
OS
13.5
months,
alongside
DCR
exceeding
60%.
Subgroup
analysis
revealed
enhanced
efficacy
fewer
than
three
metastatic
sites
those
experienced
hypertension,
proteinuria,
or
hand-foot
syndrome
during
MT.
Mechanistic
studies
showed
notable
increase
the
proportion
CD8+
T
cells
peripheral
blood
post-MT,
correlating
improved
outcomes.
imply
therapeutic
effect
MT
may
be
partly
due
to
direct
activation
cells,
producing
synergistic
anti-tumor
response.
Despite
prevalence
AEs,
AEs
were
generally
manageable,
underscoring
anlotinib’s
potential
context.
Conclusion
inhibitors
offers
promising
manageable
MT,
making
it
viable
option
achieve
SD
post-initial
therapy.
results
justify
further
prospective
validate
approach.
Journal of Hematology & Oncology,
Journal Year:
2025,
Volume and Issue:
18(1)
Published: April 1, 2025
Small
cell
lung
cancer
(SCLC)
is
an
aggressive
malignancy
characterized
by
rapid
proliferation
and
high
metastatic
potential.
It
universal
inactivation
of
RB1,
overexpression
the
MYC
family
dysregulation
multiple
oncogenic
signaling
pathways.
Among
different
patients,
SCLCs
are
similar
at
genetic
level
but
exhibit
significant
heterogeneity
molecular
level.
The
classification
SCLC
has
evolved
from
a
simple
neuroendocrine
(NE)/non-neuroendocrine
(non-NE)
system
to
transcription
factor-based
subtype
system;
lineage
plasticity
adds
further
complexity
poses
challenges
for
therapeutic
development.
While
initially
sensitive
platinum-based
chemotherapy,
resistance
develops
rapidly,
leading
dismal
prognosis.
Various
antibodies,
including
PD-1/PD-L1
inhibitors
antibody‒drug
conjugates,
have
been
introduced
into
clinical
practice
or
being
evaluated
in
trials.
However,
their
benefits
patients
remain
limited.
This
review
summarizes
carcinogenic
mechanisms,
tumor
heterogeneity,
immune
microenvironment
SCLC,
with
focus
on
recent
advances
metastasis
mechanisms.
Additionally,
corresponding
progress
tackling
these
discussed.
Frontiers in Immunology,
Journal Year:
2024,
Volume and Issue:
15
Published: March 28, 2024
Despite
undeniable
advances
in
modern
medicine,
lung
cancer
still
has
high
morbidity
and
mortality
rates.
Lung
is
preventable
treatable,
it
important
to
identify
new
risk
factors
for
cancer,
especially
those
that
can
be
treated
or
reversed.
Obstructive
sleep
apnea
(OSA)
a
very
common
sleep-breathing
disorder
grossly
underestimated
clinical
practice.
It
cause,
exacerbate,
worsen
adverse
outcomes,
including
death
various
diseases,
but
its
relationship
with
unclear.
A
possible
causal
between
OSA
the
onset
progression
of
been
established
biologically.
The
pathophysiological
processes
associated
OSA,
such
as
fragmentation,
intermittent
hypoxia,
increased
sympathetic
nervous
excitation,
may
affect
normal
neuroendocrine
regulation,
impair
immune
function
(especially
innate
cellular
immunity),
ultimately
contribute
occurrence
accelerate
progression,
induce
treatment
resistance.
contributor
cause
cancer.
However,
whether
this
effect
exists
independently
other
Therefore,
by
reviewing
literature
on
epidemiology,
pathogenesis,
we
hope
understand
relationships
two
promote
interdisciplinary
exchange
ideas
basic
respiratory
oncology.
Scientific Reports,
Journal Year:
2023,
Volume and Issue:
13(1)
Published: Aug. 3, 2023
Abstract
Lung
cancer
ranks
as
one
of
the
top
malignancies
and
leading
cause
death
in
both
males
females
US.
Using
a
database
covering
entire
population,
this
study
was
to
determine
gender
disparities
lung
incidence
during
2001–2019.
Cancer
patients
were
obtained
from
National
Program
Registries
(NPCR)
Surveillance,
Epidemiology
End
Results
(SEER)
database.
The
SEER*Stat
software
applied
calculate
age-adjusted
rates
(AAIR).
Temporal
changes
analyzed
by
Joinpoint
software.
A
total
4,086,432
(53.3%
males)
diagnosed
with
cancer.
Among
them,
52.1%
70
years
or
older,
82.7%
non-Hispanic
white,
39.7%
South,
72.6%
non-small
cell
(NSCLC).
AAIR
continuously
reduced
91.0
per
100000
59.2
period,
while
it
increased
55.0
2001
56.8
2006
females,
then
decreased
48.1
2019.
female
male
rate
ratio
Gender
observed
among
age
groups,
races,
histological
types.
In
those
aged
0–54
years,
had
higher
overall
than
recent
which
all
races
(except
black),
regions,
adenocarcinoma
small
(but
not
squamous
cell).
Non-Hispanic
black
faster
decline
since
2013.
API
demonstrated
an
trend
period.
continues
decrease
Continuous
anti-smoking
programs
plus
reduction
related
risk
factors
are
necessary
lower
further.
Histopathology,
Journal Year:
2023,
Volume and Issue:
84(1), P. 67 - 85
Published: Oct. 4, 2023
Lung
neuroendocrine
neoplasms
(NENs)
are
a
heterogeneous
group
of
pulmonary
showing
different
morphological
patterns
and
clinical
biological
characteristics.
The
World
Health
Organisation
(WHO)
classification
lung
NENs
has
been
recently
updated
as
part
the
broader
attempt
to
uniform
NENs.
This
much-needed
update
come
at
time
when
insights
from
seminal
molecular
characterisation
studies
revolutionised
our
understanding
pathological
architecture
NENs,
paving
way
for
development
novel
diagnostic
techniques,
prognostic
factors
therapeutic
approaches.
In
this
challenging
rapidly
evolving
landscape,
relevance
2021
WHO
questioned,
particularly
in
terms
its
morphology-orientated
approach
implications.
Here,
we
provide
state-of-the-art
review
on
contemporary
NEN
morphology
potential
contribution
artificial
intelligence,
advances
profiling
with
their
impact
system
and,
finally,
key
current
upcoming
factors.
Pharmaceutics,
Journal Year:
2024,
Volume and Issue:
16(8), P. 969 - 969
Published: July 23, 2024
Lung
cancer
is
the
leading
cause
of
cancer-related
mortality
worldwide,
largely
due
to
limited
efficacy
anticancer
drugs,
which
primarily
attributed
insufficient
doses
reaching
lungs.
Additionally,
patients
undergoing
treatment
experience
severe
systemic
adverse
effects
distribution
drugs
non-targeted
sites.
In
light
these
challenges,
there
has
been
a
growing
interest
in
pulmonary
administration
for
lung
cancer.
This
route
allows
be
delivered
directly
lungs,
resulting
high
local
concentrations
that
can
enhance
antitumor
while
mitigating
toxic
effects.
However,
poses
challenge
overcoming
mechanical,
chemical,
and
immunological
defenses
respiratory
tract
prevent
inhaled
drug
from
properly
penetrating
To
overcome
drawbacks,
use
nanoparticles
inhaler
formulations
may
promising
strategy.
Nanoparticles
assist
minimizing
clearance,
increasing
penetration
into
epithelium,
enhancing
cellular
uptake.
They
also
facilitate
increased
stability,
promote
controlled
release,
delivery
target
sites,
such
as
tumor
environment.
Among
them,
chitosan-based
demonstrate
advantages
over
other
polymeric
nanocarriers
their
unique
biological
properties,
including
activity
mucoadhesive
capacity.
These
properties
have
potential
when
administered
via
route.
view
above,
this
paper
provides
an
overview
research
conducted
on
drug-loaded
incorporated
devices
Furthermore,
article
addresses
emerging
technologies,
siRNA
(small
interfering
RNA),
context
therapy.
Particularly,
recent
studies
employing
are
described.
Cancers,
Journal Year:
2023,
Volume and Issue:
15(22), P. 5368 - 5368
Published: Nov. 10, 2023
Small-cell
lung
cancer
(SCLC)
is
a
highly
aggressive
disease,
accounting
for
about
15%
of
all
cases.
Despite
initial
responses
to
chemoimmunotherapy,
SCLC
recurs
and
becomes
resistant
treatment.
Recently,
antibody-drug
conjugates
(ADCs)
have
emerged
as
promising
therapeutic
option
SCLC.
ADCs
consist
an
antibody
that
specifically
targets
tumor
antigen
linked
cytotoxic
drug.
The
delivers
the
drug
directly
cells,
minimizing
off-target
toxicity
improving
index.
Several
targeting
different
antigens
are
currently
being
evaluated
in
clinical
trials
negative
results
rovalpituzumab
tesirine
(Rova-T),
other
antigens,
such
B7-H3,
seizure-related
homolog
6
(SEZ6),
CEACAM5,
also
been
investigated
trials,
including
SCLC,
their
suggest
preliminary
activity,
either
alone
or
combination
with
therapies.
More
recently,
sacituzumab
govitecan,
anti-TROP2
ADC,
demonstrated
activity
cancer,
Furthermore,
anti-B7-H3
(CD276),
ifinatamab
deruxtecan
(DS7300A),
showed
high
response
rate
durable
heavily
pretreated
Overall,
represent
intriguing
approach
treating
particularly
relapsed
refractory
setting.
Further
studies
needed
determine
efficacy
safety
best
location
treatment
algorithm
In
this
review,
we
aim
collect
describe
regarding
past,
present,
future
Frontiers in Medicine,
Journal Year:
2025,
Volume and Issue:
12
Published: Jan. 21, 2025
Objective
Lung
cancer—with
its
global
prevalence
and
critical
need
for
early
diagnosis
treatment—is
the
focus
of
our
study.
This
study
aimed
to
develop
a
nomogram
based
on
acoustic–clinical
features—a
tool
that
could
significantly
enhance
clinical
prediction
lung
cancer.
Methods
We
reviewed
voice
data
information
350
individuals:
189
pathologically
confirmed
cancer
patients
161
non-lung
patients,
which
included
77
with
benign
pulmonary
lesions
84
healthy
volunteers.
First,
acoustic
features
were
extracted
from
all
participants,
optimal
selected
by
least
absolute
shrinkage
selection
operator
(LASSO)
regression.
Subsequently,
integrating
features,
predicting
was
developed
using
multivariate
logistic
regression
model.
The
performance
evaluated
area
under
receiver
operating
characteristic
curve
(AUC)
calibration
curve.
utility
estimated
decision
analysis
(DCA)
confirm
predictive
value
nomogram.
Furthermore,
model
compared
models
six
additional
machine-learning
(ML)
methods.
Results
Our
demonstrated
strong
discriminative
ability,
AUCs
0.774
(95%
confidence
interval
[CI],
0.716–0.832)
0.714
CI:
0.616–0.811)
in
training
test
sets,
respectively.
achieved
an
accuracy
0.642,
sensitivity
0.673,
specificity
0.611
set.
showed
excellent
agreement
between
predicted
actual
values,
DCA
underscored
usefulness
Notably,
outperformed
other
terms
AUC,
accuracy,
specificity.
Conclusion
this
demonstrates
robust
discrimination,
calibration,
application
value.
nomogram,
unique
contribution
field,
provides
reliable