Pharmaceuticals,
Journal Year:
2024,
Volume and Issue:
17(2), P. 210 - 210
Published: Feb. 6, 2024
The
integration
of
artificial
intelligence
(AI)
and
positron
emission
tomography
(PET)
imaging
has
the
potential
to
become
a
powerful
tool
in
drug
discovery.
This
review
aims
provide
an
overview
current
state
research
highlight
for
this
alliance
advance
pharmaceutical
innovation
by
accelerating
development
deployment
novel
therapeutics.
We
previously
performed
scoping
three
databases
(Embase,
MEDLINE,
CENTRAL),
identifying
87
studies
published
between
2018
2022
relevant
medical
(e.g.,
CT,
PET,
MRI),
immunotherapy,
intelligence,
radiomics.
Herein,
we
reexamine
identified
studies,
performing
subgroup
analysis
on
articles
specifically
utilizing
AI
PET
discovery
purposes
immunotherapy-treated
oncology
patients.
Of
original
identified,
15
met
our
updated
search
criteria.
In
these
radiomics
features
were
primarily
extracted
from
PET/CT
images
combination
(n
=
9,
60.0%)
rather
than
alone
6,
40.0%),
patient
cohorts
mostly
recruited
retrospectively
single
institutions
10,
66.7%).
models
used
prognostication
40.0%)
or
assisting
tumor
phenotyping
4,
26.7%).
About
half
stress-tested
their
using
validation
sets
26.7%)
both
test
26.7%),
while
remaining
six
(40.0%)
either
no
at
all
less
stringent
methods
such
as
cross-validation
training
set.
Overall,
represents
paradigm
shift
discovery,
offering
new
avenues
more
efficient
By
leveraging
algorithms
analysis,
researchers
could
gain
deeper
insights
into
disease
mechanisms,
identify
targets,
optimize
treatment
regimens.
However,
further
is
needed
validate
findings
address
challenges
data
standardization
algorithm
robustness.
Cancers,
Journal Year:
2023,
Volume and Issue:
15(3), P. 841 - 841
Published: Jan. 30, 2023
The
development
of
tyrosine
kinase
inhibitors
(TKIs)
targeting
the
mutant
epidermal
growth
factor
receptor
(EGFR)
protein
initiated
success
story
targeted
therapies
in
non-small-cell
lung
cancer
(NSCLC).
Osimertinib,
a
third-generation
EGFR-TKI,
is
currently
indicated
as
first-line
therapy
patients
with
NSCLC
sensitizing
EGFR
mutations,
second-line
who
present
resistance-associated
mutation
T790M
after
treatment
previous
EGFR-TKIs,
and
adjuvant
for
early
stage
resected
NSCLC,
harboring
mutations.
Despite
durable
responses
advanced
resistance
to
osimertinib,
similar
other
therapies,
inevitably
develops.
Understanding
mechanisms
resistance,
including
both
EGFR-dependent
-independent
molecular
pathways,
well
their
therapeutic
potential,
represents
an
unmet
need
thoracic
oncology.
Interestingly,
differential
develop
when
osimertinib
administered
versus
setting,
indicating
importance
selection
pressure
clonal
evolution
tumor
cells.
Standard
approaches
progression
include
targetable
genetic
alteration
detected,
cytotoxic
chemotherapy
or
without
antiangiogenic
immunotherapeutic
agents.
Deciphering
how
use
agents
EGFR-positive
current
challenge
clinical
research.
Emerging
options
involve
combinations
different
novel
EGFR-TKI
inhibitors.
Research
should
also
be
focused
on
standardization
liquid
biopsies
order
facilitate
monitoring
alterations
osimertinib.
Journal of Clinical Oncology,
Journal Year:
2024,
Volume and Issue:
42(34), P. 4029 - 4039
Published: Aug. 22, 2024
PURPOSE
Epidermal
growth
factor
receptor
(
EGFR
)
tyrosine
kinase
inhibitors
(TKIs)
are
standard
first-line
therapy
for
-mutant,
metastatic
non–small
cell
lung
cancer
(NSCLC);
however,
most
patients
experience
disease
progression.
We
report
results
from
the
randomized,
double-blind,
phase
III
KEYNOTE-789
study
of
pemetrexed
and
platinum–based
chemotherapy
with
or
without
pembrolizumab
TKI-resistant,
nonsquamous
NSCLC
(ClinicalTrials.gov
identifier:
NCT03515837
).
METHODS
Adults
pathologically
confirmed
stage
IV
NSCLC,
documented
DEL19
L858R
mutation,
progression
after
EGFR-TKI
treatment
were
randomly
assigned
1:1
to
35
cycles
200
mg
placebo
once
every
3
weeks
plus
four
carboplatin
cisplatin
then
maintenance
pemetrexed.
Dual
primary
end
points
progression-free
survival
(PFS)
overall
(OS).
Final
PFS
testing
was
completed
at
second
interim
analysis
(IA2;
data
cutoff,
December
3,
2021);
OS
tested
final
(FA;
January
17,
2023).
Efficacy
boundaries
one-sided
P
=
.0117
OS.
RESULTS
Four
hundred
ninety-two
(n
245)
247).
At
IA2,
median
5.6
months
versus
5.5
(hazard
ratio
[HR],
0.80
[95%
CI,
0.65
0.97];
.0122).
FA,
15.9
14.7
months,
respectively
(HR,
0.84
0.69
1.02];
.0362).
Grade
≥3
treatment-related
adverse
events
occurred
in
43.7%
recipients
38.6%
recipients.
CONCLUSION
Addition
did
not
significantly
prolong
KEYNOTE-789.
JAMA,
Journal Year:
2024,
Volume and Issue:
332(7), P. 561 - 561
Published: May 31, 2024
Importance
For
patients
with
non–small
cell
lung
cancer
whose
disease
progressed
while
receiving
EGFR
tyrosine
kinase
inhibitor
(EGFR-TKI)
therapy,
particularly
third-generation
TKIs,
optimal
treatment
options
remain
limited.
Objective
To
compare
the
efficacy
of
ivonescimab
plus
chemotherapy
alone
for
relapsed
advanced
or
metastatic
epidermal
growth
factor
receptor
(
)
variant.
Design,
Setting,
and
Participants
Double-blind,
placebo-controlled,
randomized,
phase
3
trial
at
55
sites
in
China
enrolled
participants
from
January
2022
to
November
2022;
a
total
322
eligible
were
enrolled.
Interventions
received
(n
=
161)
placebo
pemetrexed
carboplatin
once
every
weeks
4
cycles,
followed
by
maintenance
therapy
pemetrexed.
Main
Outcomes
Measures
The
primary
end
point
was
progression-free
survival
intention-to-treat
population
assessed
an
independent
radiographic
review
committee
(IRRC)
per
Response
Evaluation
Criteria
Solid
Tumors
version
1.1.
results
first
planned
interim
analysis
are
reported.
Results
Among
groups,
median
age
59.6
vs
59.4
years
52.2%
50.9%
female.
As
March
10,
2023,
follow-up
time
7.89
months.
Median
7.1
(95%
CI,
5.9-8.7)
months
group
4.8
4.2-5.6)
(difference,
2.3
months;
hazard
ratio
[HR],
0.46
[95%
0.34-0.62];
P
<
.001).
prespecified
subgroup
showed
benefit
favoring
over
across
almost
all
subgroups,
including
EGFR-TKI
(HR,
0.48
CI
0.35-0.66])
those
brain
metastases
0.40
0.22-0.73]).
objective
response
rate
50.6%
42.6%-58.6%)
35.4%
28.0%-43.3%)
15.6%
5.3%-26.0%];
.006).
overall
data
not
mature;
cutoff,
69
(21.4%)
had
died.
Grade
higher
treatment-emergent
adverse
events
occurred
99
(61.5%)
79
(49.1%)
group,
most
common
which
chemotherapy-related.
immune-related
10
(6.2%)
(2.5%)
group.
vascular
endothelial
factor–related
5
(3.1%)
Conclusions
Ivonescimab
significantly
improved
tolerable
safety
profile
TKI-treated
cancer.
Trial
Registration
ClinicalTrials.gov
Identifier:
NCT05184712
Signal Transduction and Targeted Therapy,
Journal Year:
2024,
Volume and Issue:
9(1)
Published: Aug. 14, 2024
Abstract
Receptor
tyrosine
kinases
(RTKs),
a
category
of
transmembrane
receptors,
have
gained
significant
clinical
attention
in
oncology
due
to
their
central
role
cancer
pathogenesis.
Genetic
alterations,
including
mutations,
amplifications,
and
overexpression
certain
RTKs,
are
critical
creating
environments
conducive
tumor
development.
Following
discovery,
extensive
research
has
revealed
how
RTK
dysregulation
contributes
oncogenesis,
with
many
subtypes
showing
dependency
on
aberrant
signaling
for
proliferation,
survival
progression.
These
findings
paved
the
way
targeted
therapies
that
aim
inhibit
crucial
biological
pathways
cancer.
As
result,
RTKs
emerged
as
primary
targets
anticancer
therapeutic
Over
past
two
decades,
this
led
synthesis
validation
numerous
small
molecule
kinase
inhibitors
(TKIs),
now
effectively
utilized
treating
various
types.
In
manuscript
we
provide
comprehensive
understanding
context
We
explored
alterations
specific
receptors
across
different
malignancies,
special
dedicated
examination
current
inhibitors,
highlighting
potential
therapies.
By
integrating
latest
evidence,
seek
elucidate
pivotal
biology
efficacy
inhibition
promising
treatment
outcomes.
Pharmacological Research,
Journal Year:
2024,
Volume and Issue:
202, P. 107123 - 107123
Published: March 2, 2024
Epithelial
growth
factor
receptor
(EGFR)
tyrosine
kinase
inhibitors
(TKIs)
have
significantly
enhanced
the
treatment
outcomes
in
non-small
cell
lung
cancer
(NSCLC)
patients
harboring
EGFR
mutations.
However,
occurrence
of
acquired
resistance
to
EGFR-TKIs
is
an
unavoidable
outcome
observed
these
patients.
Disruption
PI3K/AKT/mTOR
signaling
pathway
can
contribute
emergence
TKIs
cancer.
The
PIK3CA
mutations
following
with
lead
against
EGFR-TKIs.
This
review
provides
overview
current
perspectives
regarding
involvement
development
Furthermore,
we
outline
state-of-the-art
therapeutic
strategies
targeting
We
highlight
role
mutation
as
mechanism
EGFR-mutant
NSCLC.
Crucially,
explore
PIK3CA-mediated
cancer,
aiming
optimize
effectiveness
treatment.
Current Medicinal Chemistry,
Journal Year:
2023,
Volume and Issue:
31(5), P. 595 - 619
Published: March 9, 2023
Epidermal
growth
factor
receptor
(EGFR/HER-1)
and
its
role
in
tumor
development
progression
through
the
mechanism
of
angiogenesis
is
prevalent
non-small
lung
cancer,
head
neck
cholangiocarcinoma
&
glioblastoma.
Previous
treatments
targeting
oncogenic
activity
EGFR's
kinase
domain
have
been
hindered
by
acquired
mutational
resistance
side
effects
from
existing
drugs
like
erlotinib,
highlighting
need
for
new
EGFR
inhibitors
structure-
based
drug
designing.The
research
aims
to
develop
novel
quinazoline
derivatives
structure-based
virtual
screening,
molecular
docking,
dynamics
simulation
potentially
interact
with
impede
angiogenic
phenomenon.Quinazoline
were
retrieved
filtered
PubChem
database
using
screening
Lipinski
rule
five
drug-likeness
studies.
Molecular
docking-based
methods
then
carried
out
identify
top
leads.A
total
1000
retrieved,
671
compounds
possessing
druglike
properties
after
applying
filters.
Further
filtration
ADME
toxicity
filters
yielded
28
good
pharmacokinetic
profiles.
Docking-based
identified
seven
better
binding
scores
than
control
drug,
dacomitinib.
After
cross-checking
scores,
three
QU524,
QU571,
QU297
selected
study
100
ns
interval
Desmond
module
Schrodinger
maestro
understand
their
conformational
stability.The
results
showed
that
leads
exhibited
affinity
stability
erlotinib.
These
also
had
pharmacodynamic
profiles
did
not
violate
Lipinski's
limits.
The
findings
suggest
these
potential
target
inhibit
EGFR-associated
phenomenon
angiogenesis.
Drug Resistance Updates,
Journal Year:
2023,
Volume and Issue:
71, P. 101002 - 101002
Published: Aug. 22, 2023
Adenocarcinoma
is
a
common
type
of
malignant
tumor,
originating
from
glandular
epithelial
cells
in
various
organs,
such
as
pancreas,
breast,
lung,
stomach,
colon,
rectus,
and
prostate.
For
patients
who
lose
the
opportunity
for
radical
surgery,
medication
available
to
provide
potential
clinical
benefits.
However,
drug
resistance
big
obstacle
obtain
desired
prognosis.
In
this
review,
we
summary
treatment
strategies
mechanisms
adenocarcinoma
different
including
pancreatic
cancer,
gastric
adenocarcinoma,
colorectal
lung
prostate
cancer.
Although
underlying
molecular
involved
vary
one
organ
other,
there
are
several
targets
that
universal
targeting
these
molecules
could
potentially
reverse
adenocarcinomas.
Frontiers in Immunology,
Journal Year:
2024,
Volume and Issue:
14
Published: Jan. 4, 2024
Receptor
tyrosine
kinases
(RTKs)
play
a
crucial
role
in
cellular
signaling
and
oncogenic
progression.
Epidermal
growth
factor
receptor
kinase
inhibitors
(EGFR
TKIs)
have
become
the
standard
treatment
for
advanced
non-small
cell
lung
cancer
(NSCLC)
patients
with
EGFR-sensitizing
mutations,
but
resistance
frequently
emerges
between
10
to
14
months.
A
significant
this
is
of
human
EGFR
3
(HER3),
an
family
member.
Despite
its
significance,
effective
targeting
HER3
still
developing.
This
review
aims
bridge
gap
by
deeply
examining
HER3’s
pivotal
contribution
TKI
spotlighting
emerging
HER3-centered
therapeutic
avenues,
including
monoclonal
antibodies
(mAbs),
TKIs,
antibody-drug
conjugates
(ADCs).
Preliminary
results
indicate
combining
HER3-specific
treatments
TKIs
enhances
antitumor
effects,
leading
increased
objective
response
rate
(ORR)
prolonged
overall
survival
(OS)
resistant
cases.
Embracing
HER3-targeting
therapies
represents
transformative
approach
against
emphasizes
importance
further
research
optimize
patient
stratification
understand
mechanisms.