Journal of Clinical Medicine,
Год журнала:
2024,
Номер
13(11), С. 3337 - 3337
Опубликована: Июнь 5, 2024
Cancer
cells,
like
all
other
organisms,
are
adept
at
switching
their
phenotype
to
adjust
the
changes
in
environment.
Thus,
phenotypic
plasticity
is
a
quantitative
trait
that
confers
fitness
advantage
cancer
cell
by
altering
its
suit
environmental
circumstances.
Until
recently,
new
traits,
especially
cancer,
were
thought
arise
due
genetic
factors;
however,
it
now
amply
evident
such
traits
could
also
emerge
non-genetically
plasticity.
Furthermore,
of
cells
contributes
heterogeneity
population,
which
major
impediment
treating
disease.
Finally,
impacts
group
behavior
since
competition
and
cooperation
among
multiple
clonal
groups
within
population
interactions
they
have
with
tumor
microenvironment
contribute
evolution
drug
resistance.
understanding
mechanisms
exploit
tailor
phenotypes
systems
level
can
aid
development
novel
therapeutics
treatment
strategies.
Here,
we
present
our
perspective
on
team
medicine-based
approach
gain
deeper
phenomenon
develop
therapeutic
npj Systems Biology and Applications,
Год журнала:
2025,
Номер
11(1)
Опубликована: Май 23, 2025
Abstract
Resistance
to
treatment,
which
comes
from
the
heterogeneity
of
cell
types
within
tumors,
is
a
leading
cause
poor
treatment
outcomes
in
cancer
patients.
Previous
mathematical
work
modeling
over
time
has
neither
emphasized
relationship
between
and
resistance
nor
depicted
with
sufficient
nuance.
To
respond
need
depict
wide
range
levels,
we
develop
random
differential
equation
model
tumor
growth.
Random
equations
are
parameters
variables.
In
inverse
problem,
aim
recover
sensitivity
as
probability
mass
function.
This
allows
us
observe
what
proportions
cells
exist
at
different
levels.
After
validating
method
synthetic
data,
apply
it
monoclonal
mixture
population
data
isogenic
Ba/F3
murine
lines
uncover
each
tumor’s
levels
PLoS Computational Biology,
Год журнала:
2023,
Номер
19(11), С. e1011208 - e1011208
Опубликована: Ноя. 20, 2023
Low-grade
gliomas
are
primary
brain
tumors
that
arise
from
glial
cells
and
usually
treated
with
temozolomide
(TMZ)
as
a
chemotherapeutic
option.
They
often
incurable,
but
patients
have
prolonged
survival.
One
of
the
shortcomings
treatment
is
eventually
develop
drug
resistance.
Recent
findings
show
persisters,
enter
dormancy
state
to
resist
treatment,
play
an
important
role
in
development
resistance
TMZ.
In
this
study
we
constructed
mathematical
model
low-grade
glioma
response
TMZ
incorporating
persister
population.
The
was
able
describe
volumetric
longitudinal
dynamics,
observed
routine
FLAIR
3D
sequences,
acquiring
We
used
explore
different
administration
protocols,
first
on
virtual
clones
real
afterwards
preserving
relationships
between
parameters
patients.
silico
clinical
trials
showed
deferred
by
protocols
which
individual
doses
administered
after
rest
periods,
rather
than
28-days
cycle
standard
protocol.
This
led
median
survival
gains
more
15
months
when
using
resting
periods
two
three
weeks
agreed
recent
experimental
observations
animal
models.
Additionally,
tested
adaptive
variations
these
new
what
potential
reduction
toxicity,
no
gain.
Our
computational
results
highlight
need
further
could
obtain
better
low
grade
gliomas.
New Journal of Physics,
Год журнала:
2023,
Номер
25(12), С. 123010 - 123010
Опубликована: Ноя. 16, 2023
Abstract
Microbial
populations
generally
evolve
in
volatile
environments,
under
conditions
fluctuating
between
harsh
and
mild,
e.g.
as
the
result
of
sudden
changes
toxin
concentration
or
nutrient
abundance.
Environmental
variability
(EV)
thus
shapes
long-time
population
dynamics,
notably
by
influencing
ability
different
strains
microorganisms
to
coexist.
Inspired
evolution
antimicrobial
resistance,
we
study
dynamics
a
community
consisting
two
competing
subject
twofold
EV.
The
level
varies
time,
favouring
growth
one
strain
low
drug
other
when
is
high.
We
also
model
time-changing
resource
abundance
randomly
switching
carrying
capacity
that
drives
size
community.
While
dominates
static
environment,
show
species
coexistence
possible
presence
By
computational
analytical
means,
determine
environmental
which
long-lived
it
almost
certain.
Notably,
circumstances
demographic
fluctuations
promote,
hinder,
coexistence.
how
make-up
phase
average
each
depend
on
Journal of Clinical Medicine,
Год журнала:
2024,
Номер
13(11), С. 3337 - 3337
Опубликована: Июнь 5, 2024
Cancer
cells,
like
all
other
organisms,
are
adept
at
switching
their
phenotype
to
adjust
the
changes
in
environment.
Thus,
phenotypic
plasticity
is
a
quantitative
trait
that
confers
fitness
advantage
cancer
cell
by
altering
its
suit
environmental
circumstances.
Until
recently,
new
traits,
especially
cancer,
were
thought
arise
due
genetic
factors;
however,
it
now
amply
evident
such
traits
could
also
emerge
non-genetically
plasticity.
Furthermore,
of
cells
contributes
heterogeneity
population,
which
major
impediment
treating
disease.
Finally,
impacts
group
behavior
since
competition
and
cooperation
among
multiple
clonal
groups
within
population
interactions
they
have
with
tumor
microenvironment
contribute
evolution
drug
resistance.
understanding
mechanisms
exploit
tailor
phenotypes
systems
level
can
aid
development
novel
therapeutics
treatment
strategies.
Here,
we
present
our
perspective
on
team
medicine-based
approach
gain
deeper
phenomenon
develop
therapeutic
