Biomarkers
have
the
potential
to
play
a
crucial
role
in
managing
gallbladder
cancer
post-surgery.
They
can
identify
patients
more
likely
experience
recurrence,
allowing
oncologists
tailor
intensive
surveillance
plan
and
consider
additional
therapies.
Some
biomarkers
even
predict
how
well
patient
will
respond
specific
chemotherapy
or
targeted
treatments.
By
monitoring
these
biomarkers,
clinicians
track
effective
ongoing
treatment
is
detect
any
signs
of
early
recurrence.
Various
like
tumor
markers,
genetic
genomic
epigenetic
are
being
investigated.
The
goal
find
most
reliable
accurate
enhance
care
outcomes.
Integrating
biomarker
data
into
plans
help
personalize
therapy
make
better
informed
decisions.
identifying
which
benefit
from
treatments,
improve
long-term
survival
rates
significantly.
This
scoping
review
discusses
newer
carcinoma;
some
them
clinical
use,
while
used
research
settings.
provides
broad
insight
practicing
about
present
futuristic
biomarkers.
International Journal of Molecular Sciences,
Год журнала:
2024,
Номер
25(14), С. 7974 - 7974
Опубликована: Июль 21, 2024
Gliomas,
particularly
glioblastoma
(GBM),
represent
the
most
prevalent
and
aggressive
tumors
of
central
nervous
system
(CNS).
Despite
recent
treatment
advancements,
patient
survival
rates
remain
low.
The
diagnosis
GBM
traditionally
relies
on
neuroimaging
methods
such
as
magnetic
resonance
imaging
(MRI)
or
computed
tomography
(CT)
scans
postoperative
confirmation
via
histopathological
molecular
analysis.
Imaging
techniques
struggle
to
differentiate
between
tumor
progression
treatment-related
changes,
leading
potential
misinterpretation
delays.
Similarly,
tissue
biopsies,
while
informative,
are
invasive
not
suitable
for
monitoring
ongoing
treatments.
These
challenges
have
led
emergence
liquid
biopsy,
through
blood
samples,
a
promising
alternative
monitoring.
Presently,
cerebrospinal
fluid
(CSF)
sampling
offers
minimally
means
obtaining
tumor-related
information
guide
therapy.
idea
that
any
biofluid
tests
can
be
used
screen
many
cancer
types
has
huge
potential.
Tumors
release
various
components
into
bloodstream
other
biofluids,
including
cell-free
nucleic
acids
microRNAs
(miRNAs),
circulating
DNA
(ctDNA),
cells
(CTCs),
proteins,
extracellular
vesicles
(EVs)
exosomes,
metabolites,
factors.
factors
been
shown
cross
blood-brain
barrier
(BBB),
presenting
an
opportunity
well
real-time
assessment
distinct
genetic,
epigenetic,
transcriptomic,
proteomic,
metabolomic
changes
associated
with
brain
tumors.
their
potential,
clinical
utility
biopsy-based
biomarkers
is
somewhat
constrained
by
limitations
absence
standardized
methodologies
CSF
collection,
analyte
extraction,
analysis
methods,
small
cohort
sizes.
Additionally,
biopsies
offer
more
precise
insights
morphology
microenvironment.
Therefore,
objective
biopsy
should
complement
enhance
diagnostic
accuracy
patients
providing
additional
alongside
traditional
biopsies.
Moreover,
utilizing
combination
diverse
biomarker
may
effectiveness
compared
solely
relying
one
category,
potentially
improving
sensitivity
specificity
addressing
some
existing
GBM.
This
review
presents
overview
latest
research
found
in
discusses
diagnostic,
predictive,
prognostic
indicators,
future
perspectives.
Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Июнь 3, 2024
Abstract
Multiomics
analyses
have
identified
multiple
potential
biomarkers
of
the
incidence
and
prevalence
complex
diseases.
However,
it
is
not
known
which
type
biomarker
optimal
for
clinical
purposes.
Here,
we
make
a
systematic
comparison
90
million
genetic
variants,
1453
proteins,
325
metabolites
from
500,000
individuals
with
diseases
UK
Biobank.
A
machine
learning
pipeline
consisting
data
cleaning,
imputation,
feature
selection,
model
training
using
cross-validation
results
on
holdout
test
sets
showed
that
proteins
were
most
predictive,
followed
by
metabolites,
variants.
Only
five
per
disease
resulted
in
median
(min–max)
areas
under
receiver
operating
characteristic
curves
0.79
(0.65–0.86)
0.84
(0.70–0.91)
prevalence.
In
summary,
our
work
suggests
predicting
based
limited
number
proteins.
We
provide
an
interactive
atlas
(macd.shinyapps.io/ShinyApp/)
to
find
genomic,
proteomic,
or
metabolomic
different
Journal of Proteome Research,
Год журнала:
2025,
Номер
24(2), С. 729 - 741
Опубликована: Янв. 8, 2025
Non-small
cell
lung
cancer
(NSCLC)
is
frequently
diagnosed
late
and
has
poor
survival.
The
two
predominant
subtypes
of
NSCLC,
adenocarcinoma
(LUAD)
squamous
carcinoma
(LUSC),
are
currently
differentially
using
immunohistochemical
markers;
however,
they
increasingly
recognized
as
very
different
types
suggestive
potential
for
new,
more
targeted
therapies.
There
extensive
efforts
to
find
precise
noninvasive
differential
diagnostic
tools.
Here,
we
examined
these
NSCLC
differences
that
may
inform
treatment
identify
novel
therapeutic
pathways.
We
presented
a
comparative
analysis
transcriptomic
proteomic
expression
in
tumors
from
cohort
22
patients:
8
LUSC
14
LUAD.
Comparing
subtypes,
found
gene
related
differentiation
cellular
structure
immune
response
regulation
Differential
protein
between
was
extracellular
metabolic
processes,
including
glucose
metabolism
This
direct
comparison
informative
about
subtype-specific
pathways
than
each
subtype
control
(nontumor)
tissues.
Many
our
observations
support
existing
reveal
aid
research
seeking
validate
biomarkers
or
druggable
targets.
Research Square (Research Square),
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 13, 2025
Abstract
Tumour
promoting
inflammation
and
the
ability
to
evade
immune
destruction
are
two
of
hallmarks
cancer,
but
there
is
limited
prospective
evidence
for
role
specific
immune-related
pathways
protein
markers
in
development
prostate
cancer.
This
study
used
data
on
circulating
levels
368
proteins
(Olink
Explore
Inflammation
I
panel)
from
a
nested
case-control
design
within
European
Prospective
Investigation
into
Cancer
Nutrition
(EPIC),
including
1,434
men
who
developed
cancer
matched
controls
−
488
cases
also
had
clinically
aggressive
disease.
Conditional
logistic
regression
was
estimate
associations
with
risk
EPIC,
per
standard
deviation
effective
number
tests
(ENT)
control
multiple
testing.
We
additionally
performed
an
inverse-variance
weighted
meta-analysis
combining
these
estimated
EPIC
those
21,481
UK
Biobank
(UKBB),
whom
1,147
Logistic
exome
score
association
UKBB
replication
analyses
were
Multiethnic
Cohort
(MEC).
Mendelian
randomisation
colocalisation
using
79,148
overall
PRACTICAL
consortium
conducted
aid
triangulation.
In
no
inflammatory
associated
or
more
subtypes
after
correction
+
meta-analyses,
FLT3LG
CNTNAP2
significantly
(RRMeta:0.88,
95%CI:0.84–0.92
RRMeta:1.10,
95%CI:1.05–1.16,
respectively),
stratified
by
time
diagnosis,
IL15
diagnosed
than
seven
years
blood
draw
(RRMeta:0.86,
95%CI:0.81–0.93),
along
five
other
(FLT3LG,
BCL2L11,
PGF,
CKAP4,
TNFRSF11A).
Exome
scores
provided
some
support
identified
PARP1
as
increased
(OR:1.05,
95%CI:1.02–1.07),
which
replicated
MEC
(OR:1.04,
95%CI:1.01–1.08).
MR
SPINT2
(OR:2.11,
95%CI:1.70–2.63)
NME3
(OR:1.25,
95%CI:1.11–1.41)
being
overall.
Our
findings
suggest
higher
involved
immunosurveillance
pathways,
recruitment
activation
natural
killer
T
cells,
may
be
linked
lower
developing
while
inhibition
relevant
prevention.
Although
previous
observational
studies
have
highlighted
a
possible
association
between
the
gut
microbiota
(GM)
and
head
neck
cancer
(HNC),
causal
relationships
remain
unclear,
particularly
regarding
role
of
plasma
proteins
as
potential
mediators.
Clarifying
these
connections
is
essential
for
uncovering
underlying
mechanisms
HNC
progression
may
lead
to
new
therapeutic
strategies.
First,
we
examined
link
GM
via
two-sample
Mendelian
randomization
(MR)
approach.
We
then
investigated
causative
same
MR
technique.
The
coefficient
product
approach
was
used
clarify
in
pathway
HNC.
Finally,
sensitivity
investigations
were
performed
assess
robustness
coherence
results.
analyses
revealed
protective
effects
one
family
six
genera
on
(Lachnospiraceae,
Parabacteroides,
Phascolarctobacterium,
Alistipes,
Sutterella,
Roseburia
Alloprevotella).
In
contrast,
three
(Ruminococcus,
Prevotella
Bacteroides)
significantly
positively
associated
with
risk.
Through
further
examination,
researchers
discovered
18
that
relationship
Notably,
mediation
illustrated
effect
OTU97_86
(Phascolarctobacterium)
(total
IVW:
OR
=
0.879,
95%
0.810–0.954,
p
0.002)
mediated
by
Proteasome
subunit
alpha
type-1
(PSMA1)
(−
0.020,
CI
−
0.039
~
0.001,
0.036),
accounting
15.25%
total
effect.
Similarly,
OTU99_35
(Ruminococcus)
risk
1.109,
1.027–1.198,
0.008)
protein
FAM107B
(0.015,
0.001–0.029,
0.031),
14.69%
analysis
specific
GMs
influence
through
proteins:
Phascolarctobacterium
protects
against
PSMA1,
whereas
Ruminococcus
increases
FAM107B.
These
pathways
suggest
preventative
factor
factor.
This
highlights
possibility
using
biomarkers
or
targets
prevention,
diagnosis,
treatment.