Medicine International,
Journal Year:
2024,
Volume and Issue:
5(2)
Published: Dec. 20, 2024
The
limitations
of
two‑dimensional
(2D)
models
in
cancer
research
have
hindered
progress
fully
understanding
the
complexities
drug
resistance
and
therapeutic
failures.
However,
three‑dimensional
(3D)
provide
a
more
accurate
representation
in
vivo
environments,
capturing
critical
cellular
interactions
dynamics
that
are
essential
evaluating
efficacy
toxicity
tyrosine
kinase
inhibitors
(TKIs).
These
advanced
enable
researchers
to
explore
mechanisms
with
greater
precision,
optimizing
treatment
strategies
improving
predictive
accuracy
clinical
outcomes.
By
leveraging
3D
models,
it
will
be
possible
deepen
current
TKIs
drive
forward
innovations
treatment.
present
review
discusses
2D
transformative
impact
on
oncology
research,
highlighting
their
roles
addressing
challenges
systems
advancing
TKI
studies.
Pharmaceutics,
Journal Year:
2024,
Volume and Issue:
16(5), P. 654 - 654
Published: May 14, 2024
Breast
cancer,
a
multifaceted
and
heterogeneous
disease,
poses
significant
challenges
in
terms
of
understanding
its
intricate
resistance
mechanisms
devising
effective
therapeutic
strategies.
This
review
provides
comprehensive
overview
the
landscape
extracellular
vesicles
(EVs)
context
breast
highlighting
their
diverse
subtypes,
biogenesis,
roles
intercellular
communication
within
tumour
microenvironment
(TME).
The
discussion
spans
various
aspects,
from
EVs
stromal
cells
cancer
to
influence
on
angiogenesis,
immune
response,
chemoresistance.
impact
EV
production
different
culture
systems,
including
two
dimensional
(2D),
three
(3D),
organoid
models,
is
explored.
Furthermore,
this
delves
into
potential
presenting
emerging
strategies
such
as
engineered
for
gene
delivery,
nanoplatforms
targeted
chemotherapy,
disrupting
derived
treatment
approach.
Understanding
these
complex
interactions
milieu
crucial
identifying
developing
new
targets.
Cell Transplantation,
Journal Year:
2025,
Volume and Issue:
34
Published: Jan. 1, 2025
Colorectal
cancer
(CRC)
represents
a
significant
cause
of
cancer-related
mortality
on
global
scale.
It
is
highly
heterogeneous
cancer,
and
the
response
patients
to
homogeneous
drug
therapy
varies
considerably.
Patient-derived
tumor
organoids
(PDTOs)
represent
an
optimal
preclinical
model
for
research.
A
substantial
body
evidence
from
numerous
studies
has
demonstrated
that
PDTOs
can
accurately
predict
patient’s
different
treatments.
This
article
outlines
utilization
in
management
CRC
across
range
therapeutic
contexts,
including
postoperative
adjuvant
chemotherapy,
palliative
neoadjuvant
chemoradiotherapy,
targeted
therapy,
third-line
follow-up
treatment,
treatment
elderly
patients.
delineates
manner
which
inform
decisions
at
all
stages
CRC,
thereby
assisting
clinicians
selecting
options
reducing
risk
toxicity
resistance
associated
with
clinical
drugs.
Moreover,
it
identifies
shortcomings
existing
PDTOs,
absence
consistent
criteria
assessing
sensitivity
tests,
lack
vascular
microenvironment
models,
high
cost
technology.
In
conclusion,
despite
their
inherent
limitations,
offer
several
advantages,
rapid
culture,
success
rate,
consistency,
throughput,
be
employed
as
personalized
option
CRC.
The
use
allows
prediction
responses
modalities
various
disease
progression.
potential
reduce
adverse
reactions
emergence
drugs,
facilitate
evidence-based
decision-making,
guide
selection
medications,
advancing
individualized
Frontiers in Immunology,
Journal Year:
2025,
Volume and Issue:
16
Published: March 21, 2025
Metabolic
reprogramming
is
a
hallmark
of
ovarian
cancer,
enabling
tumor
progression,
immune
evasion
and
drug
resistance.
The
microenvironment
(TME)
further
shapes
metabolic
adaptations,
cancer
cells
to
withstand
hypoxia
nutrient
deprivation.
While
organoid
models
provide
physiologically
relevant
platform
for
studying
these
processes,
they
still
lack
vascular
components,
limiting
their
ability
fully
recapitulate
metabolism
responses.
In
this
study,
we
investigated
the
key
mechanisms
involved
in
focusing
on
glycolysis,
lipid
amino
acid
metabolism.
We
integrated
metabolomic
analyses
sensitivity
assays
explore
metabolic-TME
interactions
using
patient-derived,
adult
stem
cell-derived
iPSC-derived
organ
tissues.
Among
these,
found
that
play
central
role
progression
chemotherapy
identified
methylglyoxal
(MGO)-mediated
BRCA2
dysfunction
as
driver
escape,
sphingolipid
signaling
proliferation
kynurenine
CD8+
T
cell
suppression.
addition,
PI3K/AKT/mTOR
Wnt/β-catenin
pathways
promote
chemoresistance
through
adaptation.
By
elucidating
link
between
evasion,
study
identifies
vulnerabilities
potential
targets
cancer.
Our
findings
support
development
metabolically
targeted
therapies
increase
utility
organoid-based
precision
medicine
models.
Cancers,
Journal Year:
2025,
Volume and Issue:
17(7), P. 1179 - 1179
Published: March 31, 2025
Background:
Most
newly
developed
anticancer
treatments
trigger
tumor
cell
death
through
apoptosis,
for
which
involvement
of
caspases
activity
is
essential.
However,
numerous
mutations
in
apoptotic
pathways
that
lead
to
cancer
and
favor
resistance
apoptosis
are
known;
most
related
caspase-dependent
thus
have
low
efficacy.
To
overcome
these
limitations,
we
constructed
a
novel
chimeric
protein,
GnRH-AIF,
using
gonadotropin-releasing
hormone
(GnRH)
analog
as
targeting
moiety
the
apoptosis-inducing
factor
(AIF)
its
cleaved
form
killing
moiety,
fused
at
cDNA
level.
AIF
has
crucial
role
caspase-independent
pathway.
A
wide
variety
solid
tumors
overexpress
GnRH-receptors
(GnRH-R)
targeted
by
new
GnRH-AIF
protein.
Methods
Results:
In
this
study,
constructed,
expressed,
highly
purified
proteins.
We
demonstrated
ability
chimera
enter
specifically
very
efficiently
kill
lines
overexpressing
GnRH-R.
importantly,
upon
entry,
GnRH-AIFs
translocate
nucleus
where
it
causes
DNA
fragmentation
leading
direct
death.
As
AIFs
lack
nuclease
activity,
our
findings
also
emphasize
induced
dependent
on
presence
ENDOG
PPIA
proteins,
known
participate
formation
DNA-degradosome
complex.
Finally,
high
anti-tumor
efficacy
ex
vivo,
human,
colon
organoid
model.
Conclusions:
Our
study
shows
potential
protein
approach
treat
cancers
GnRH-R,
via
Research Square (Research Square),
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 16, 2025
Abstract
Epithelial
ovarian
cancer
(EOC)
is
a
leading
cause
of
gynecological
mortality,
driven
largely
by
late
diagnosis
and
chemo-resistant
disease.
While
autophagy
plays
critical
role
in
the
survival
EOC
spheroids
during
metastasis,
ULK1,
key
regulator
autophagy,
progression
remains
unclear.
To
investigate
this,
we
utilized
CRISPR/Cas9
technology
to
delete
ULK1
cell
lines
OVCAR8
HEYA8,
immortalized
fallopian
tube
epithelial
line
FT190.
Immunoblotting
confirmed
loss
its
associated
disruption
spheroids,
evidenced
reduced
Beclin-1
phosphorylation,
impaired
LC3
processing,
p62
accumulation.
Culture-based
assays
revealed
that
knockout
decreased
spheroid
viability
due
increased
apoptosis
and,
notably,
matrix-bound
organoid
growth,
offering
new
insights
into
potential
ULK1
affecting
tumor
growth
spread.
These
findings
were
further
demonstrated
in
vivo
xenograft
models,
which
significantly
burden
metastatic
potential.
The
for
requirement
properties
was
supported
diminished
invasive
capacity
cells
mesothelial
clearance
assays.
mechanisms
contributes
conducted
proteomic
analyses
disrupted
signaling
pathways,
including
MEK-MAPK,
PI3K-AKT-mTOR,
regulation.
Although
failed
synergize
with
standard-of-care
chemotherapeutics,
it
enhanced
sensitivity
MEK
mTOR
inhibition,
revealing
therapeutic
combinations
target
via
MAPK
PI3K-AKT-mTOR
pathway
vulnerabilities
EOC.
Overall,
this
study
highlights
as
multiple
steps
underscoring
novel
advanced
cancer.
Journal of Experimental & Clinical Cancer Research,
Journal Year:
2025,
Volume and Issue:
44(1)
Published: April 24, 2025
Abstract
Background
Lung
cancer
remains
one
of
the
most
challenging
diseases
to
treat
due
its
heterogeneity.
Kirsten
Rat
Sarcoma
Viral
Oncogene
Homolog
(KRAS)
mutations
are
genetic
drivers
in
numerous
types
including
lung
adenocarcinoma
(LUAD).
Despite
recent
advances
KRAS-targeted
therapies,
treatment
resistance
and
limited
therapeutic
options
necessitate
advanced
preclinical
models,
such
as
organoids,
identify
personalized
therapies
by
screening
novel
strategies
synergistic
drug
combinations.
Results
We
established
LUAD
genetically
engineered
mouse
(GEM)
models
Kras
G12V
&
Trp53
Δex2−10
(KP)
KP
with
Ctnnb1
Δex3
mutation
(KPC).
Tumor-derived
organoids
from
these
recapitulated
genomic
landscape
histopathological
characteristics
their
parental
tumors.
The
displayed
tumorigenic
potential
when
implanted
immunocompromised
mice,
forming
tumors
contrast
unlike
healthy
lung-derived
organoids.
Drug
identified
effective
kinase
inhibitors
DNA
methyltransferase
(DNMT)
against
Notably,
combination
drugs
exhibited
highest
synergy
KPC
Conclusion
successfully
developed
harboring
multiple
agents
targeting
cells.
Furthermore,
we
demonstrated
effectiveness
a
DNMT
inhibitor-based
therapy,
presenting
promising
strategy
for
this
subtype.
Cellular and Molecular Gastroenterology and Hepatology,
Journal Year:
2024,
Volume and Issue:
18(3), P. 101366 - 101366
Published: Jan. 1, 2024
Type
2
innate
lymphoid
cells
(ILC2s)
and
interleukin-13
(IL-13)
promote
the
onset
of
spasmolytic
polypeptide-expressing
metaplasia
(SPEM)
cells.
However,
little
is
known
about
molecular
effects
IL-13
in
SPEM
We
now
sought
to
establish
a
reliable
organoid
model,
Meta1
gastroids,
model
vitro.
evaluated
cellular
ILC2s
on
maturation
proliferation
Cancer Cell International,
Journal Year:
2024,
Volume and Issue:
24(1)
Published: Nov. 5, 2024
Abstract
Cholangiocarcinoma
(CCA)
presents
a
formidable
therapeutic
challenge
due
to
its
extensive
heterogeneity
and
plasticity,
which
inevitably
lead
acquired
resistance
current
treatments.
However,
recent
evidence
suggests
that
drug
is
associated
with
fitness
cost
resulting
from
the
myriad
of
alterations
under
selective
pressure
primary
treatment.
Consequently,
CCA
patients
are
more
susceptible
alternative
therapies
ineffective
as
monotherapies.
This
phenomenon,
termed
“acquired
vulnerability,”
has
garnered
significant
interest
in
development,
could
potentially
be
exploited
therapeutically.
review
elucidates
modes
vulnerability,
methods
for
identifying
exploiting
vulnerabilities
cancer
(particularly
CCA),
strategies
enhance
clinical
efficacy
combinations
by
leveraging
principle
vulnerability.
Identifying
may
pave
way
novel
effectively
treat
highly
heterogeneous
adaptable
malignancies
such
CCA.