Exploring the prognostic and predictive potential of bacterial biomarkers in non-gastrointestinal solid tumors
Expert Review of Molecular Diagnostics,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 20, 2025
Standard
clinical
parameters
like
tumorsize,
age,
lymph
node
status,
and
molecular
markers
are
used
to
predictprogression
risk
treatment
response.
However,
exploring
additional
markersthat
reflect
underlying
biology
could
offer
a
more
comprehensive
understandingof
the
tumor
microenvironment
(TME).
The
TME
influences
development,progression,
disease
severity,
survival,
with
tumor-associated
bacteriaposited
play
significant
roles.
Studies
on
microbiota
havefocused
high
bacterial-load
sites
such
as
gut,
oral
cavity,
stomach,but
interest
is
growing
in
non-gastrointestinal
(GI)
solid
tumors,
asbreast,
lung,
pancreas.
Microbe-based
biomarkers,
including
Helicobacter
pylori,
humanpapillomavirus
(HPV),
hepatitis
B
C
viruses,
have
proven
valuable
inpredicting
gastric,
cervical,
renal
cancers.
Potential
of
prognostic
andpredictive
bacterial
biomarkers
non-GI
tumors
methodologiesused.
Advances
techniques
16SrRNA
gene
sequencing,
qPCR,
immunostaining,
situ
hybridization
enabled
detailed
analysis
ofdifficult-to-culture
microbes
tumors.
ensure
reliableresults,
it
critical
standardize
protocols,
accurately
align
reads,address
contamination,
maintain
proper
sample
handling.
This
will
pave
theway
for
developing
reliable
that
enhance
prognosis,prediction,
personalized
planning.
Language: Английский
Reducing the availability of endogenous copper and glucose for cascade starvation therapy and chemodynamic therapy
Chunhui Wang,
No information about this author
Pingting Ye,
No information about this author
Mengyao Chen
No information about this author
et al.
Materials Today Bio,
Journal Year:
2025,
Volume and Issue:
unknown, P. 101702 - 101702
Published: March 1, 2025
Language: Английский
Three-Dimensional Visualization of Breast Cancer Pathology Evolution in Clinical Patient Tissues with NIR-II Imaging
Shasha Li,
No information about this author
Xin Qi,
No information about this author
Yuan Li
No information about this author
et al.
Nano Letters,
Journal Year:
2024,
Volume and Issue:
24(33), P. 10337 - 10347
Published: Aug. 9, 2024
Breast
cancer
(BC)
is
the
most
common
tumor
worldwide
and
requires
crucial
molecular
typing
for
treatment
prognosis
assessment.
Currently,
approaches
like
pathological
staining,
immunohistochemistry
(IHC),
immunofluorescence
(IF)
face
limitations
due
to
low
signal-to-background
ratio
(SBR)
high
heterogeneity,
resulting
in
a
misdiagnosis
rate.
Fluorescent
assay
second
near-infrared
region
(NIR-II,
1000–1700
nm)
exhibits
ultrahigh
SBR
owing
diminished
scattering
tissue
autofluorescence.
Here,
we
present
NIR-II
strategy
accurate
BC
three-dimensional
(3D)
visualization
based
on
atomically
precise
fluorescent
Au24Pr1
clusters.
Single-atom
Pr
doping
results
3.9-fold
fluorescence
enhancement
long-term
photostability.
The
clusters
possess
centered
at
∼1100
nm
section
diagnosis
was
4
times
higher
than
that
of
NIR-I
imaging.
This
enables
spatial
resolution
3D
biopsy
specimens,
which
can
surmount
heterogeneity
clinical
BC.
Language: Английский