Therapeutic Advances in Medical Oncology,
Год журнала:
2018,
Номер
10
Опубликована: Янв. 1, 2018
Over
the
last
decades,
concept
of
precision
medicine
has
dramatically
renewed
field
medical
oncology;
introduction
patient-tailored
therapies
significantly
improved
all
measurable
outcomes.
Liquid
biopsy
is
a
revolutionary
technique
that
opening
previously
unexpected
perspectives.
It
consists
detection
and
isolation
circulating
tumor
cells,
DNA
exosomes,
as
source
genomic
proteomic
information
in
patients
with
cancer.
Many
technical
hurdles
have
been
resolved
thanks
to
newly
developed
techniques
next-generation
sequencing
analyses,
allowing
broad
application
liquid
wide
range
settings.
Initially
correlated
prognosis,
data
are
now
being
studied
for
cancer
diagnosis,
hopefully
including
screenings,
most
importantly
prediction
response
or
resistance
given
treatments.
In
particular,
identification
specific
mutations
target
genes
can
aid
therapeutic
decisions,
both
appropriateness
treatment
advanced
secondary
resistance,
aiming
early
diagnose
disease
progression.
Still
far
from
reality
but
ongoing
research
leading
way
new
era
oncology.
This
review
summarizes
main
applications
CA A Cancer Journal for Clinicians,
Год журнала:
2019,
Номер
69(2), С. 127 - 157
Опубликована: Фев. 5, 2019
Abstract
Judgement,
as
one
of
the
core
tenets
medicine,
relies
upon
integration
multilayered
data
with
nuanced
decision
making.
Cancer
offers
a
unique
context
for
medical
decisions
given
not
only
its
variegated
forms
evolution
disease
but
also
need
to
take
into
account
individual
condition
patients,
their
ability
receive
treatment,
and
responses
treatment.
Challenges
remain
in
accurate
detection,
characterization,
monitoring
cancers
despite
improved
technologies.
Radiographic
assessment
most
commonly
visual
evaluations,
interpretations
which
may
be
augmented
by
advanced
computational
analyses.
In
particular,
artificial
intelligence
(AI)
promises
make
great
strides
qualitative
interpretation
cancer
imaging
expert
clinicians,
including
volumetric
delineation
tumors
over
time,
extrapolation
tumor
genotype
biological
course
from
radiographic
phenotype,
prediction
clinical
outcome,
impact
treatment
on
adjacent
organs.
AI
automate
processes
initial
images
shift
workflow
management
whether
or
administer
an
intervention,
subsequent
observation
yet
envisioned
paradigm.
Here,
authors
review
current
state
applied
describe
advances
4
types
(lung,
brain,
breast,
prostate)
illustrate
how
common
problems
are
being
addressed.
Although
studies
evaluating
applications
oncology
date
have
been
vigorously
validated
reproducibility
generalizability,
results
do
highlight
increasingly
concerted
efforts
pushing
technology
use
future
directions
care.
Cell Communication and Signaling,
Год журнала:
2020,
Номер
18(1)
Опубликована: Апрель 7, 2020
Abstract
The
dynamic
interactions
of
cancer
cells
with
their
microenvironment
consisting
stromal
(cellular
part)
and
extracellular
matrix
(ECM)
components
(non-cellular)
is
essential
to
stimulate
the
heterogeneity
cell,
clonal
evolution
increase
multidrug
resistance
ending
in
cell
progression
metastasis.
reciprocal
cell-cell/ECM
interaction
tumor
hijacking
non-malignant
force
lose
function
acquire
new
phenotypes
that
promote
development
invasion
cells.
Understanding
underlying
cellular
molecular
mechanisms
governing
these
can
be
used
as
a
novel
strategy
indirectly
disrupt
interplay
contribute
efficient
safe
therapeutic
strategies
fight
cancer.
Furthermore,
tumor-derived
circulating
materials
also
diagnostic
tools
precisely
predict
monitor
outcome
therapy.
This
review
evaluates
such
potentials
various
advanced
models,
focus
on
3D
systems
well
lab-on-chip
devices.
Nature Communications,
Год журнала:
2018,
Номер
9(1)
Опубликована: Ноя. 23, 2018
Abstract
Methylation
patterns
of
circulating
cell-free
DNA
(cfDNA)
contain
rich
information
about
recent
cell
death
events
in
the
body.
Here,
we
present
an
approach
for
unbiased
determination
tissue
origins
cfDNA,
using
a
reference
methylation
atlas
25
human
tissues
and
types.
The
method
is
validated
silico
simulations
as
well
vitro
mixes
from
different
sources
at
known
proportions.
We
show
that
plasma
cfDNA
healthy
donors
originates
white
blood
cells
(55%),
erythrocyte
progenitors
(30%),
vascular
endothelial
(10%)
hepatocytes
(1%).
Deconvolution
patients
reveals
contributions
agree
with
clinical
findings
sepsis,
islet
transplantation,
cancer
colon,
lung,
breast
prostate,
unknown
primary.
propose
procedure
which
can
be
easily
adapted
to
study
cellular
contributors
many
settings,
opening
broad
window
into
pathologic
dynamics.
