Cellular
Automata
and
Boolean
Networks
are
generalizations
of
one
another
because
algorithms
to
compute
the
preimage
cellular
automata
reveal
underlying
network,
i.e.,
global
dynamics
in
terms
basins
attraction.
Therefore,
we
hypothesize
can
local
from
basin
attraction
an
inferred
boolean
network.
Our
motivation
was
observation
that
human
keratinocytes
melanoma
stick
together
form
clusters
after
eight
days
co-culture.
This
cluster
formation
would
be
attractor
population
dynamics,
cell
seeding
initial
condition
Hence,
propose
a
method
estimate
rules
automata,
which
consist
comparing
density
states
within
each
state
transition
reaching
consensus
among
transitions
belonging
aim:
(1)
infer
network
\emph{in
vitro}
co-culture
growth
curve;
(2)
automata;
(3)
implement
for
spatial
simulations.
The
binarization
curve
shows
high
four
days;
estimated
were
compatible
with
proliferation
migration
agreement
experimental
observations.
Spatial
that:
exhibit
higher
neighborhoods
where
is
present;
chance
keratinocyte
increases
until
fourth
day,
but
probability
survival
increases;
space
freed
cells
maximum
capacity
through
compensated
by
death.
approach
suggests
induced
increase
survival,
as
well
balance
death
concerning
melanoma.
has
potential
offer
valuable
clues
about
microenvironmental
interactions
or
configurations
drive
dynamics.
Cancers,
Journal Year:
2024,
Volume and Issue:
16(5), P. 913 - 913
Published: Feb. 23, 2024
Melanoma
progression
is
a
multistep
evolution
from
common
melanocytic
nevus
through
radial
superficial
growth
phase,
the
invasive
vertical
phase
finally
leading
to
metastatic
dissemination
into
distant
organs.
aggressiveness
largely
depends
on
propensity
metastasize,
which
means
capacity
escape
physiological
microenvironment
since
tissue
damage
due
primary
melanoma
lesions
generally
modest.
Physiologically,
epidermal
melanocytes
are
attached
basement
membrane,
and
their
adhesion/migration
under
control
of
surrounding
keratinocytes.
Thus,
compartment
represents
first
responsible
for
spread.
This
complex
process
involves
cell-cell
contact
broad
range
secreted
bioactive
molecules.
Invasion,
or
at
beginning
microinvasion,
implies
breakdown
dermo-epidermal
membrane
followed
by
migration
neoplastic
cells
in
papillary
dermis.
Correspondingly,
several
experimental
evidences
documented
structural
functional
rearrangement
entire
neoplasm
that
some
way
reflects
atypia
tumor
cells.
Lastly,
must
support
proliferation
survival
outside
normal
epidermal-melanin
units.
task
presumably
mostly
delegated
fibroblasts
ultimately
self-autonomous
review
will
discuss
remodeling
occurs
epidermis
during
formation
as
well
skin
changes
occur
independently
hyperproliferation
having
possible
pro-tumoral
features.
Abstract
Background
One
of
the
factors
that
affect
progression
melanoma
is
tumor
microenvironment,
which
consists
cellular
elements,
extracellular
matrix,
acidification,
and
a
hypoxic
state.
Adipocytes
are
one
types
cell
present
in
niche
localized
deepest
layer
skin.
However,
relationship
between
fat
cells
remains
unclear.
Methods
We
assessed
influence
on
adipocytes
using
an
indirect
coculture
system.
estimated
level
cancer-associated
adipocyte
(CAA)
markers
through
quantitative
PCR
analysis.
The
fibroblastic
phenotype
CAAs
was
confirmed
by
staining
western
blotting
lipid
content
detection
LipidSpot
analysis
Oil
Red
O.
expression
proteins
involved
synthesis,
delipidation,
metabolic
processes
were
or
Lactate
secretion
established
Lactate-Glo™
assay.
Proteins
secreted
identified
cytokine
angiogenesis
arrays.
proliferation
cocultured
with
XTT
Statistical
performed
one-way
ANOVA
followed
Tukey’s
test
GraphPad
Prism
7
software.
Results
Obtained
decreased
levels
leptin,
adiponectin,
resistin,
FABP4.
presented
features,
such
as
similar
proteolytic
pattern
to
3T3L1
fibroblasts
increased
vimentin
TGFβRIII.
Melanoma
led
reduction
CAAs,
possibly
downregulation
synthesis
pathways
(lower
FADS,
SC4MOL,
FASN)
enhancement
lipolysis
(higher
phosphorylation
ERK
STAT3).
higher
IL6
SerpinE1
produced
less
CCL2,
CXCL1,
angiogenic
molecules.
also
showed
changes
comprising
lactate
enhanced
production
glucose,
lactate,
ion
transporters.
In
addition,
observed
following
resulted
rate
cancer
cells.
Conclusions
adipocytes,
might
be
related
delipidation
synthesis.
Fibroblast-like
may
reason
for
accelerated
Archives of Dermatological Research,
Journal Year:
2025,
Volume and Issue:
317(1)
Published: Jan. 18, 2025
Abstract
Melanoma
is
an
immunogenic
tumor.
The
melanoma
tumor
immune
microenvironment
(TIME)
made
up
of
a
heterogenous
mix
both
and
non-immune
cells
as
well
multitude
signaling
molecules.
interactions
between
cells,
molecules
affect
progression
therapeutic
responses.
Understanding
the
composition
function
TIME
in
primary
cutaneous
useful
for
prognostication
decisions.
This
review
provides
overview
components
melanoma,
their
influence
on
clinical
outcomes.
Trends in Immunology,
Journal Year:
2023,
Volume and Issue:
44(9), P. 724 - 743
Published: Aug. 10, 2023
The
natural
history
of
advanced
malignant
melanoma
demonstrates
that,
in
most
cases,
widespread
tumor
dissemination
is
preceded
by
regional
metastases
involving
tumor-draining
lymph
nodes
[sentinel
(SLNs)].
Under
physiological
conditions,
LNs
play
a
central
role
immunosurveillance
to
non-self-antigens
which
they
are
exposed
via
afferent
lymph.
dysfunctional
immunity
SLNs
mediated
secretory
factors
that
allow
the
survival
metastatic
cells
within
LN
creating
premetastatic
niche
(PMN).
Recent
studies
outline
altered
microenvironment
shaped
mediators.
Here,
we
discuss
involved
subverting
and
remodeling
highlight
emerging
therapeutic
strategies
reinvigorate
antitumoral
SLNs.
Cell Communication and Signaling,
Journal Year:
2024,
Volume and Issue:
22(1)
Published: Aug. 23, 2024
Abstract
Background
BRAF
(v-raf
murine
sarcoma
viral
oncogene
homolog
B1)/MEK
(mitogen-activated
protein
kinase
kinase)
inhibitors
are
used
for
melanoma
treatment.
Unfortunately,
patients
treated
with
this
combined
therapy
develop
resistance
to
treatment
quite
quickly,
but
the
mechanisms
underlying
phenomenon
not
yet
fully
understood.
Here,
we
report
and
characterize
two
cell
lines
(WM9
Hs294T)
resistant
(vemurafenib)
MEK
(cobimetinib)
inhibitors.
Methods
Cell
viability
was
assessed
via
XTT
test.
The
level
of
selected
proteins
as
well
activation
signaling
pathways
were
evaluated
using
Western
blotting.
expression
chosen
genes
by
RT-PCR.
distribution
cycle
phases
analyzed
flow
cytometry,
confocal
microscopy
take
photos
spheroids.
composition
cytokines
secreted
cells
determined
a
human
cytokine
array.
Results
had
increased
survival
ERK
in
presence
BRAF/MEK
IC
50
values
these
over
1000
times
higher
than
controls.
Resistant
also
exhibited
elevated
AKT,
p38,
JNK
EGFR,
ErbB2,
MET,
PDGFRβ
receptors
reduced
ErbB3
receptor.
Furthermore,
demonstrated
encoding
involved
drug
transport
metabolism.
features
epithelial-mesenchymal
transition
cancer
stem
proliferation
rate
secretion.
Conclusions
In
summary,
work
describes
BRAF/MEK-inhibitor-resistant
cells,
allowing
better
understanding
resistance.
results
may
thus
contribute
development
new,
more
effective
therapeutic
strategies.
Biochimica et Biophysica Acta (BBA) - Molecular Cell Research,
Journal Year:
2023,
Volume and Issue:
1870(7), P. 119549 - 119549
Published: July 27, 2023
Microenvironment
of
the
melanoma
consists
cellular
elements
like
fibroblasts,
adipocytes,
and
keratinocytes
as
well
extracellular
matrix
physicochemical
conditions.
In
our
previous
research,
we
have
established
that
influences
strongly
above
mentioned
cells
present
in
tumor
niche
recruits
them
to
support
cancer
progression.
this
work,
evaluated
impact
cancer-associated
cells,
namely
fibroblasts
(CAFs),
adipocytes
(CAAs),
(CAKs)
on
proliferation,
signaling
pathways
activation,
metabolism
effectiveness
used
anti-cancer
therapy.
Obtained
results
indicated
elevated
phosphorylation
STAT3,
upregulated
GLUT1
GLUT3
downregulated
MCT-1
expression
level
under
influence
all
examined
niche.
The
proliferation
was
increased
after
co-culture
with
CAFs
CAKs,
while
epithelial-mesenchymal
transition
markers'
raised
presence
CAAs.
perilipin
2
lipid
content
Moreover,
CYP1A1,
gene
encoding
drug
metabolizing
protein,
co-cultured
CAKs
prompted
us
verify
previously
proposed
by
anti-melanoma
therapy
based
combination
EGFR
MET
inhibitors.
indicate
designed
is
still
efficient,
even
if
keratinocytes,
are
vicinity.
Human
keratinocytes
and
melanoma
can
stick
together
to
form
clusters
after
eight
days
in
co-culture.
As
dynamic
system
concepts,
one
consider
cluster
formation
as
the
attractor,
cell
seeding
initial
condition,
density
change
over
time
a
path
within
basin
of
attraction.
Herein,
Cellular
Automata,
which
is
class
Agent-Based
Models,
Boolean
Networks
are
discrete
modeling
methods
used
population
dynamics
such
that
running
cellular
automata
backward
reveals
an
underlying
network
terms
attraction,
also
known
global
dynamics.
Thus,
we
hypothesize
estimate
local
agent-based
model
from
attraction
boolean
network.
Here,
propose
approach
estimating
these
rules,
consists
comparing
states
each
state
transition
reaching
consensus
among
transitions
belonging
The
objectives
this
study
are:
(1)
infer
co-culture
growth
curve;
(2)
rules
models;
(3)
implement
spatial
simulations.
binarization
curve
shows
high
four
days;
estimated
were
compatible
with
proliferation
migration
agreement
literature,
so
had
individual
for
survival
death.
Spatial
exhibit
higher
neighborhoods
where
present;
chance
keratinocyte
increases
until
fourth
day,
then
decreases,
probability
substantially
cells
low
capacity
die
free
space
those
ones.
Our
suggests
attractor
induced
mainly
by
increase
survival.
has
potential
offer
valuable
clues
about
microenvironmental
interactions
or
configurations
drive
Cellular
Automata
and
Boolean
Networks
are
generalizations
of
one
another
because
algorithms
to
compute
the
preimage
cellular
automata
reveal
underlying
network,
i.e.,
global
dynamics
in
terms
basins
attraction.
Therefore,
we
hypothesize
can
local
from
basin
attraction
an
inferred
boolean
network.
Our
motivation
was
observation
that
human
keratinocytes
melanoma
stick
together
form
clusters
after
eight
days
co-culture.
This
cluster
formation
would
be
attractor
population
dynamics,
cell
seeding
initial
condition
Hence,
propose
a
method
estimate
rules
automata,
which
consist
comparing
density
states
within
each
state
transition
reaching
consensus
among
transitions
belonging
aim:
(1)
infer
network
\emph{in
vitro}
co-culture
growth
curve;
(2)
automata;
(3)
implement
for
spatial
simulations.
The
binarization
curve
shows
high
four
days;
estimated
were
compatible
with
proliferation
migration
agreement
experimental
observations.
Spatial
that:
exhibit
higher
neighborhoods
where
is
present;
chance
keratinocyte
increases
until
fourth
day,
but
probability
survival
increases;
space
freed
cells
maximum
capacity
through
compensated
by
death.
approach
suggests
induced
increase
survival,
as
well
balance
death
concerning
melanoma.
has
potential
offer
valuable
clues
about
microenvironmental
interactions
or
configurations
drive
dynamics.