Mechanical signatures in cancer metastasis
npj Biological Physics and Mechanics.,
Год журнала:
2025,
Номер
2(1)
Опубликована: Фев. 4, 2025
Abstract
The
cancer
metastatic
cascade
includes
a
series
of
mechanical
barrier-crossing
events,
involving
the
physical
movement
cells
from
their
primary
location
to
distant
organ.
This
review
describes
changes
that
influence
tumour
proliferation,
progression,
and
metastasis.
We
identify
potential
signatures
at
every
step
discuss
some
latest
mechanobiology-based
therapeutic
interventions
highlight
importance
interdisciplinary
approaches
in
diagnosis
treatment.
Язык: Английский
Patient Specific Colorectal Cancer-Associated Fibroblasts Modulate Tumour Microenvironment Mechanics
iScience,
Год журнала:
2024,
Номер
27(6), С. 110060 - 110060
Опубликована: Май 21, 2024
Highlights•Patient-specific
CAFs
exhibited
heterogeneity
in
tissue
remodeling
capabilities•Tissue
stiffening
was
mainly
attributed
to
the
contraction
of
matrix
by
cells•Tissue
softening
due
enzymatic
activity
matrix-cleaving
proteins•Interplay
between
cancer
cells
and
critical
as
it
stopped
heterogeneitySummaryCancer-associated
fibroblasts
(CAFs)
play
a
major
role
reorganizing
physical
tumor
micro-environment
changing
stiffness.
Herein,
using
an
engineered
three-dimensional
(3D)
model
that
mimics
tumor's
native
biomechanical
environment,
we
characterized
changes
stiffness
caused
six
patient-specific
colorectal
CAF
populations.
After
21
days
culture,
atomic
force
microscopy
(AFM)
performed
precisely
measure
local
Each
population
capabilities,
with
some
patient-derived
others
it.
Tissue
active
cells,
whereas
proteins.
This
measured
lost
when
were
cocultured
all
samples
significantly
soften
tissue.
The
interplay
altered
any
alone.Graphical
abstract
Язык: Английский
Quantitative characterization of the 3D self-organization of PDAC tumor spheroids reveals cell type and matrix dependence through advanced microscopy analysis
APL Bioengineering,
Год журнала:
2025,
Номер
9(1)
Опубликована: Март 1, 2025
Pancreatic
ductal
adenocarcinoma
(PDAC)
is
characterized
by
an
abundant
tumor-associated
stroma
composed
from
pancreatic
stellate
cells,
which
play
a
critical
role
in
tumor
progression.
Developing
accurate
vitro
models
requires
understanding
the
complex
interactions
between
cells
and
their
microenvironment.
In
this
study,
we
present
quantitative
imaging-based
characterization
of
three
dimensional
(3D)
self-organization
PDAC
tumour
spheroids
using
microfluidic
platform
that
mimics
key
aspects
Our
model
incorporates
collagen
type
I
hydrogels
to
recreate
extracellular
matrix,
activated
human
(HPSCs),
various
cell
types.
Advanced
imaging
techniques,
including
Lattice
Lightsheet
Microscopy,
allowed
us
analyze
3D
growth
spatial
organization
spheroids,
revealing
intricate
biomechanical
interactions.
results
indicate
alterations
matrix
properties-such
as
stiffness,
pore
size,
hydraulic
permeability-due
variations
concentration
significantly
influence
patterns
depending
on
subtype
epithelial-mesenchymal
phenotype.
Higher
concentrations
promoted
larger
epithelial-like
lines,
while
mesenchymal-type
required
increased
for
into
smaller
spheroids.
Furthermore,
coculture
with
HPSCs
affected
spheroid
formation
distinctly
based
each
line's
genetic
phenotypic
traits.
had
opposing
effects
lines:
one
line
exhibited
enhanced
growth,
another
showed
inhibited
formation,
whereas
mesenchymal-like
minimal
impact.
These
provide
insights
tumor-stroma
interactions,
emphasizing
importance
cell-specific
matrix-dependent
factors
advancing
our
progression
informing
future
therapeutic
strategies.
Язык: Английский
Automated Quality Control of Time-Course Imaging from 3D in vitro cultures
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 5, 2025
Longitudinal
imaging
of
3D
cell
cultures
like
tumor
organoids
and
spheroids
offers
crucial
insights
into
cancer
progression
treatment.
However,
spatial
displacement
during
time-course
imaging,
caused
by
matrix
detachment
or
experimental
artifacts,
can
confound
analyses.
Existing
computational
methods
struggle
to
address
this
issue.
We
present
a
new
algorithm
evaluate
data
integrity
rectify
mislabeling
in
longitudinal
culture.
Our
integrates
permutation-based
optimization
with
Procrustes
analysis.
By
using
X
Y
coordinates
images,
it
accurately
reorders,
matches,
aligns
object
positions
across
time
points,
correcting
for
rotation,
translation,
small
movements.
Validation
simulated
confirmed
its
accuracy
robustness.
Applied
spheroids,
our
revealed
frequent
amongst
the
between
points
corrected
many
mislabeled
images.
This
computationally
efficient
adaptable
method
needs
no
adjustments
presents
readily
accessible
solution
quality
control.
Three-dimensional
(3D)
vitro
models,
such
as
embedded
an
extracellular
matrix,
are
increasingly
vital
studying
normal
disease
biology,
including
drug
responses.
1-3
A
key
advantage
these
models
is
that
platforms
perform
continuous
track
phenotypic
changes.
common
issues
techniques,
shifts
setup
image
capture,
introduce
technical
artifacts
affect
downstream
Currently,
automated
analytical
approaches
exist
assessing
artifacts.
Here,
we
robust,
and,
some
cases,
enable
accurate
tracking
individual
over
time.
approach
relies
only
on
metadata,
requiring
modifications.
It
implementable
improving
reproducibility
enhancing
reliability
culture
studies.
Язык: Английский
Multicellular tumor spheroids: A convenient in vitro model for translational cancer research
Life Sciences,
Год журнала:
2024,
Номер
358, С. 123184 - 123184
Опубликована: Окт. 28, 2024
Язык: Английский
Regularization techniques and inverse approaches in 3D Traction Force Microscopy
International Journal of Mechanical Sciences,
Год журнала:
2024,
Номер
283, С. 109592 - 109592
Опубликована: Июль 30, 2024
The
conception
of
inverse
methods
in
the
context
Traction
Force
Microscopy
(TFM)
is
influenced
by
multiple
factors,
such
as
nonlinear
effects,
dimensionality
(2D/3D),
and
regularization/constraints,
amongst
others.
Solving
problem
often
requires
inversion
a
matrix,
presence
noise
measured
displacements
can
lead
to
unrealistic
reconstructed
tractions.
To
address
this
issue,
Tikhonov
regularization
commonly
used,
penalizing
high
norm
values
computed
aim
study
compare
performance
different
methodologies
(including
some
original
variations)
3D
TFM,
considering
constraint
imposition
along
formulation.
are
numerically
elaborated
within
novel
combined
Newton–Raphson/Finite
Element
Method
scheme
that
provides
converged
solutions
few
iterations.
impact
traction
reconstruction
evaluated
terms
accuracy,
efficiency
(CPU
time),
inherent
characteristics
methodology.
Results
show
that,
applying
constraints
(based
on
fulfillment
fundamental
principles)
best
reconstruction,
while
simultaneously
ensuring
an
optimum
estimate
maximum
traction,
at
cost
CPU
time
low
efficiency.
Moreover,
regularization-based
introduce
challenge
calibrating
parameter,
usually
done
under
subjective
criteria.
On
other
hand,
non-regularized
but
constrained
may
represent
nice
compromise
between
accuracy
efficiency,
avoiding
pre-processing
calibration
parameter.
It
emphasized
importance
not
only
quality
also
complexity
implementation
(intrusiveness)
when
selecting
appropriate
method
for
TFM
analysis.
Язык: Английский
Controlling cellular packing and hypoxia in 3D tumor spheroids via DNA interactions
Sven A. Saemundsson,
Shane D. Curry,
Bryce M. Bower
и другие.
Biomaterials Science,
Год журнала:
2024,
Номер
12(18), С. 4759 - 4769
Опубликована: Янв. 1, 2024
Tumor
spheroids
represent
valuable
in
vitro
models
for
studying
cancer
biology
and
evaluating
therapeutic
strategies.
In
this
study,
we
investigated
the
impact
of
varying
lengths
DNA-modified
cell
surfaces
on
spheroid
formation,
cellular
adhesion
molecule
expression,
hypoxia
levels
within
4T1
mouse
breast
spheroids.
Through
a
series
experiments,
demonstrated
that
modifying
with
biotinylated
DNA
strands
different
facilitated
formation
without
significantly
altering
expression
fibronectin
e-cadherin,
key
molecules.
However,
our
findings
revealed
notable
influence
length
As
increased,
decreased,
indicating
enhanced
intercellular
spacing
porosity
structure.
These
results
contribute
to
better
understanding
how
modification
can
modulate
architecture
microenvironmental
conditions.
Such
insights
may
have
implications
developing
interventions
targeting
tumor
microenvironment
improve
treatment
efficacy.
Язык: Английский