International Journal of Community Medicine and Public Health,
Journal Year:
2023,
Volume and Issue:
11(1), P. 424 - 428
Published: Dec. 19, 2023
In
years,
there
have
been
advancements
in
laboratory
methods
for
detecting
and
monitoring
cancer
at
its
earliest
stages.
These
breakthroughs
revolutionized
the
field
of
care
with
a
focus
on
treatment
strategies.
This
review
explores
range
laboratory-based
approaches,
including
biopsies,
advanced
imaging
technologies
like
PET,
MRI,
CT
scans,
genomic
profiling
techniques
such
as
next-generation
sequencing
novel
biomarkers,
innovative
assay
platforms,
use
artificial
intelligence-driven
analytics.
Liquid
biopsies
are
particularly
valuable
they
provide
real-time
insights
into
tumor
dynamics
responses
to
by
analyzing
circulating
cells
cell-free
DNA.
Advanced
modalities
offer
enhanced
sensitivity
resolution
detection
tumors.
Genomic
help
unravel
complexities
tumors
guide
therapies.
Novel
biomarkers
show
promise
types
aiding
screening
prognosis
determination
monitoring.
Innovative
platforms
allow
analysis
improve
diagnosis.
The
integration
intelligence
(AI)
machine
learning
has
instrumental
interpreting
clinical
molecular
data
alongside
traditional
techniques.
However,
despite
progress
made
far
challenges
related
standardization,
cost
effectiveness,
ethical
considerations
persist.
It
is
crucial
integrate
these
practice
fully
exploit
their
potential
enhancing
care.
Cancer Treatment Reviews,
Journal Year:
2024,
Volume and Issue:
129, P. 102791 - 102791
Published: June 23, 2024
Liquid
biopsy
is
a
minimally
invasive
method
for
biomarkers
detection
in
body
fluids,
particularly
blood,
which
offers
an
elevated
and
growing
number
of
clinical
applications
oncology.
As
result
the
improvement
techniques
DNA
analysis,
above
all
next-generation
sequencing
(NGS)
assays,
circulating
tumor
(ctDNA)
has
become
most
informing
tumor-derived
material
types
cancer,
including
non-small
cell
lung
cancer
(NSCLC).
Although
ctDNA
concentration
higher
patients
with
advanced
tumors,
it
can
be
detected
even
early-stage
disease.
Therefore,
numerous
management
are
emerging,
such
as
screening,
identification
minimal
residual
disease
(MRD),
prediction
relapse
before
radiologic
progression.
Moreover,
high
trials
ongoing
to
better
define
impact
evaluation
this
setting.
Aim
his
review
offer
comprehensive
overview
on
relevant
implementations
addressing
available
data,
technical
aspects,
limitations,
future
perspectives.
IntechOpen eBooks,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 27, 2025
Metastatic
cancer
remains
a
major
challenge
in
oncology,
often
diagnosed
late
with
limited
intervention
options.
This
chapter
highlights
the
role
of
circulating
tumor
cells
(CTCs)
and
DNA
(ctDNA)
as
biomarkers
for
early
detection,
diagnosis,
prognosis.
Liquid
biopsy,
non-invasive
method,
analyzes
blood
components
like
CTCs,
which
provide
insights
into
heterogeneity
metastatic
potential,
ctDNA,
reflects
genetic
mutations
burden.
These
enable
real-time
monitoring,
aiding
understanding
progression,
treatment
response,
residual
disease,
resistance
mechanisms.
Advances
detection
methods
emphasize
their
clinical
relevance
personalized
treatment.
Integrating
CTCs
ctDNA
oncology
could
revolutionize
management
through
individualized
strategies,
enhancing
outcomes.
The
concludes
challenges
future
directions
implementing
these
precision
oncology.
Analytical Chemistry,
Journal Year:
2024,
Volume and Issue:
96(13), P. 5195 - 5204
Published: March 23, 2024
The
detection
of
multiple
single
nucleotide
polymorphisms
(SNPs)
circulating
tumor
DNA
(ctDNA)
is
still
a
great
challenge.
In
this
study,
we
designed
enzyme-assisted
nucleic
acid
strand
displacement
amplification
combined
with
high-performance
liquid
chromatography
(HPLC)
for
the
simultaneous
three
ctDNA
SNPs.
First,
trace
could
be
hybridized
to
specially
template
strand,
which
initiated
process
under
synergistic
action
polymerase
and
restriction
endonuclease.
Then,
targets
would
replaced
G-quadruplex
fluorescent
probes
different
tail
lengths.
Finally,
HPLC-fluorescence
assay
enabled
separation
quantification
signals.
Notably,
method
can
simultaneously
detect
both
wild
type
(WT)
mutant
(MT)
Within
linear
range
0.1
fM–0.1
nM,
limits
BRAF
V600E-WT,
EGFR
T790M-WT,
KRAS
134A-WT
V600E-MT,
T790M-MT,
134A-MT
were
29,
31,
11
aM
22,
33
aM,
respectively.
By
using
method,
mutation
rates
SNPs
in
blood
samples
from
patients
lung
or
breast
cancer
obtained
simple
way,
providing
convenient
highly
sensitive
analytical
early
screening
monitoring
cancer.
International Journal of Molecular Sciences,
Journal Year:
2025,
Volume and Issue:
26(5), P. 1889 - 1889
Published: Feb. 22, 2025
Globally,
ovarian
cancer
(OC)
is
the
eighth
most
common
malignant
tumour
in
women.
Unfortunately,
its
symptoms-especially
at
early
stages-are
vague
and
non-specific,
and,
thus,
patients
are
diagnosed
advanced
stages
of
disease
(stage
III
IV)
when
treatment
not
curative.
The
currently
available
approved
biomarkers
sufficient
for
effective
screening,
prognosis,
or
monitoring
OC.
Liquid
biopsy
tests
such
as
circulating
DNA
(ctDNA)
analysis
has
advantage
response
to
real
time
providing
a
comprehensive
genotypic
profile
primary,
metastatic,
recurrent
tumours.
Thus,
ctDNA
can
be
used
complementary
test
diagnosis
We
comprehensively
review
current
studies
(2019-2024)
on
OC,
critically
highlighting
recent
developments
applications
management
disease.
Cancers,
Journal Year:
2025,
Volume and Issue:
17(5), P. 783 - 783
Published: Feb. 25, 2025
Background/Objectives:
Circulating
tumor
DNA
(ctDNA)
analysis
is
a
powerful
tool
for
non-invasive
monitoring
of
burden
and
treatment
response.
Reliable
quantification
methods
are
critical
the
effective
use
ctDNA
as
biomarker.
Digital
PCR
(dPCR)
offers
high
sensitivity
quantification,
but
requires
prior
knowledge
tumor-specific
genomic
alterations.
Next-generation
sequencing
(NGS)
provides
more
comprehensive
approach
semi-quantitative,
relying
on
variant
allelic
fraction
(VAF),
which
can
be
influenced
by
non-tumor
cell-free
DNA.
Methods:
We
developed
novel
quantitative
NGS
(qNGS)
method
absolute
nucleotide
variants,
utilizing
unique
molecular
identifiers
(UMIs)
standards
(QSs),
short
synthetic
sequences
modified
to
include
characteristic
mutations
identification
in
data.
evaluated
performance
this
using
plasma
samples
spiked
with
mutated
pools
from
cancer
patients.
further
applied
our
technique
four
non-small
cell
lung
(NSCLC)
patients
enrolled
ELUCID
trial.
Results:
Our
qNGS
demonstrated
robust
linearity
correlation
dPCR
both
patient-derived
samples.
Notably,
clinical
trial
revealed
ability
simultaneously
quantify
multiple
variants
single
sample.
Significant
differences
levels
were
observed
between
baseline
post-treatment
collected
after
three
weeks
front-line
therapy.
Conclusions:
introduce
that
enables
ctDNA,
independent
circulating
variations.
This
was
first
time
serial
NSCLC
patients,
demonstrating
its
monitor
making
it
versatile
precision
oncology.
Discover Oncology,
Journal Year:
2025,
Volume and Issue:
16(1)
Published: March 13, 2025
Cancer
remains
a
significant
health
issue,
resulting
in
around
10
million
deaths
per
year,
particularly
developing
nations.
Demographic
changes,
socio-economic
variables,
and
lifestyle
choices
are
responsible
for
the
rise
cancer
cases.
Despite
potential
to
mitigate
adverse
effects
of
by
early
detection
implementation
prevention
methods,
several
nations
have
limited
screening
facilities.
In
oncology,
use
artificial
intelligence
(AI)
represents
transformative
advancement
diagnosis,
prognosis,
treatment.
The
AI
biomarker
discovery
improves
precision
medicine
uncovering
signatures
that
essential
treatment
diseases
within
vast
diverse
datasets.
Deep
learning
machine
diagnostics
two
examples
technologies
changing
way
biomarkers
made
finding
patterns
large
datasets
making
new
make
it
possible
deliver
accurate
effective
therapies.
Existing
gaps
include
data
quality,
algorithmic
transparency,
ethical
concerns
privacy,
among
others.
methodologies
with
seeks
transform
improving
patient
survival
rates
through
enhanced
diagnosis
targeted
therapy.
This
commentary
aims
clarify
how
is
identification
novel
optimal
focused
treatment,
improved
clinical
outcomes,
while
also
addressing
certain
obstacles
issues
related
application
oncology.
Data
from
reputable
scientific
databases
such
as
PubMed,
Scopus,
ScienceDirect
were
utilized.