Patient‐derived ovarian cancer organoid carries immune microenvironment and blood vessel keeping high response to cisplatin
MedComm,
Journal Year:
2024,
Volume and Issue:
5(9)
Published: Aug. 28, 2024
Ovarian
cancer
is
high
recurrence
and
mortality
malignant
tumor.
The
most
common
ovarian
was
High-Grade
Serous
Cancer.
However,
Cancer
organoid
rare,
which
with
patient
immune
microenvironment
blood
vessels
even
absence.
Here,
we
report
a
novel
system
derived
from
samples.
These
organoids
recapitulate
organoids'
histological
molecular
heterogeneity
while
preserving
the
critical
vessels,
as
evidenced
by
presence
of
Language: Английский
Advancing precision medicine: strategies from organoids research
Chenzhong Li,
No information about this author
Qionglin Liang,
No information about this author
Zhong Li
No information about this author
et al.
Cell organoid (Print),
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 1, 2025
Language: Английский
The pros and cons of mechanical dissociation and enzymatic digestion in patient-derived organoid cultures for solid tumor
Jing Ren,
No information about this author
Mengli Liu,
No information about this author
Mingjie Rong
No information about this author
et al.
Cell organoid (Print),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 1, 2024
Patient-derived
organoids
(PDOs)
are
revolutionizing
cancer
research,
serving
as
invaluable
models
for
tumor
biology
and
therapeutic
screening.
The
fidelity
applicability
of
these
fundamentally
shaped
by
the
tissue
dissociation
techniques
employed,
namely
mechanical
enzymatic
digestion.
This
comprehensive
review
delves
into
nuances
two
methods,
scrutinizing
their
effects
on
solid
organoid
properties,
including
stemness,
heterogeneity,
long-term
culturing.
We
discuss
advantages
limitations
each
technique,
with
a
focus
impact
microenvironment
preservation,
application
in
drug
screening
modeling.
Moreover,
we
examine
how
recent
technological
breakthroughs
have
bolstered
efficiency
scalability
production
through
methods.
Our
analysis
is
designed
to
assist
researchers
choosing
optimal
strategy
research
objectives
fuel
evolution
organoid-based
models.
Language: Английский