Journal of Translational Medicine,
Journal Year:
2024,
Volume and Issue:
22(1)
Published: Dec. 27, 2024
Recent
studies
have
highlighted
the
distinct
ratio
of
PD-1
+
Treg/PD-1
CD8
for
prognosis
prediction.
However,
it
remains
unclear
about
association
this
and
tertiary
lymphoid
structures
(TLS)
with
response
to
neoadjuvant
or
conversion
therapy
in
advanced
gastric
cancer.
Firstly,
fresh
postoperative
samples
from
68
cancer
patients
Renji
Hospital
were
collected.
Meanwhile,
immune
cell
infiltration
as
well
clinical
analysis
conducted.
Subsequently,
we
further
systematically
evaluated
flow
cytometry
tumor
TLS
expression
38
different
situations
after
therapy.
Also,
a
cohort
including
10
complete
matching
before
treatment
was
established
receive
RNA
sequencing
multiplex
immunohistochemistry
(mIHC)
tests.
The
corresponding
score
compared
based
on
therapeutic
variations.
In
general,
CD8>1
could
be
regarded
an
independent
predictor
patients.
Moreover,
<
1
high
indicate
better
extended
survival
time
advanved
Besides,
low
&TLS
group
predict
progression
free
(PFS)
(CR)
subgroup.
therapy,
number
T
cells
significantly
increased,
mainly
occurring
outside
TLSs.
TLSs
also
considerably
activated
observed.
This
study
underlined
that
combining
associated
preoperative
Inspiringly,
these
indicators
potential
elucidate
balance
can
accurately
guide
subsequent
strategies.
Journal for ImmunoTherapy of Cancer,
Journal Year:
2025,
Volume and Issue:
13(3), P. e011126 - e011126
Published: March 1, 2025
Intratumoral
tertiary
lymphoid
structures
(iTLS)
in
hepatocellular
carcinoma
(HCC)
are
associated
with
improved
survival
and
may
influence
treatment
decisions.
However,
their
non-invasive
detection
remains
challenging
HCC.
We
aim
to
develop
a
model
using
baseline
contrast-enhanced
MRI
predict
the
iTLS
status.
A
total
of
660
patients
HCC
who
underwent
surgery
were
retrospectively
recruited
from
four
centers
between
October
2015
January
2023
divided
into
training,
internal
test,
external
validation
sets.
After
features
dimensionality
selection,
corresponding
used
construct
transfer
learning
radiomic
(TLR)
models
for
diagnosing
iTLS,
interpretability
was
explored
pathway
analysis
The
Cancer
Genome
Atlas-Liver
performances
assessed
area
under
receiver
operating
characteristic
curve
(AUC).
log-rank
test
evaluate
prognostic
value
TLR
model.
combination
therapy
set
101
advanced
treated
first-line
anti-programmed
death
1
or
ligand
plus
antiangiogenic
2021
2024
investigate
evaluating
response.
presence
identified
46.0%
(n=308)
patients.
demonstrated
excellent
performance
predicting
training
(AUC=0.91,
95%
CI:
0.87,
0.94),
(AUC=0.85,
0.77,
0.93)
0.81,
0.90).
model-predicted
group
has
favorable
overall
(HR=0.66;
0.48,
0.90;
p=0.007)
relapse-free
(HR=0.64;
0.85;
p=0.001)
set.
status
inflammatory
response
specific
tumor-associated
signaling
activation
(all
p<0.001).
proportion
responders
significantly
higher
than
without
(36%
vs
13.73%,
p=0.009).
indicated
accurate
prediction
status,
which
assist
risk
stratification
clinical
practice.
Journal of Hepatocellular Carcinoma,
Journal Year:
2025,
Volume and Issue:
Volume 12, P. 383 - 398
Published: Feb. 1, 2025
To
explore
the
value
of
intravoxel
incoherent
motion
(IVIM)
sequences
in
predicting
intra-tumoral
tertiary
lymphoid
structures
(TLSs).
This
prospective
study
pre-operatively
enrolled
hepatocellular
carcinoma
(HCC)
patients
who
underwent
magnetic
resonance
imaging
including
IVIM
sequences,
between
January
2019
and
April
2021.
Intra-tumoral
TLSs
presence
was
assessed
on
pathological
slide
images.
Clinical
radiological
characteristics
were
collected.
quantitative
parameters
radiomics
features
obtained
based
whole
delineated
tumor
volume.
By
using
feature
selection
techniques,
22
features,
clinical-radiological
(lymphocyte
count
satellite
nodules),
(apparent
diffusion
coefficient
(ADC_90Percentile),
perfusion
fraction
(f_Maximum))
selected.
The
logistic
regression
algorithm
used
to
construct
prediction
model
combination
these
features.
diagnostic
performance
area
under
receiver
operating
characteristic
(AUC).
recurrence-free
survival
(RFS)
evaluated
with
Kaplan-Meier
curves.
A
total
168
divided
into
training
(n=128)
testing
(n=40)
cohorts
(mean
age:
56.83±14.43
years;
149
[88.69%]
males;
130
TLSs+).
In
cohort,
combining
multimodal
demonstrated
a
good
(AUC:
0.86)
significantly
outperformed
models
single-modality
0.80)
had
better
than
other
parameter
maps
(ADC_90Percentile
f_Maximum,
AUC:
0.72)
(satellite
nodules
lymphocyte
counts,
0.59).
TLSs+
higher
RFS
TSLs-
(all
p
<0.05).
nomogram
proposed
can
be
as
pre-operative
predictive
biomarker
TLSs.
incorporating
may
serve
structure
(TLS)
status.
Proceedings of the National Academy of Sciences,
Journal Year:
2025,
Volume and Issue:
122(18)
Published: May 2, 2025
Immune
checkpoint
inhibitors
such
as
anti-Programmed
Death-1
antibodies
(aPD-1)
can
be
effective
in
treating
advanced
cancers.
However,
many
patients
do
not
respond,
and
the
mechanisms
underlying
these
differences
remain
incompletely
understood.
In
this
study,
we
profile
a
cohort
of
with
locally
or
metastatic
basal
cell
carcinoma
undergoing
aPD-1
therapy
using
single-cell
RNA
sequencing,
high-definition
spatial
transcriptomics
tumors
draining
lymph
nodes,
immunoreceptor
profiling,
long-term
clinical
follow-up.
We
find
that
successful
responses
to
PD-1
inhibition
are
characterized
by
an
induction
B
receptor
(BCR)
clonal
diversity
after
treatment
initiation.
These
induced
BCR
clones
spatially
colocalize
T
clones,
facilitate
their
activation,
traffic
alongside
them
between
tumor
nodes
enhance
clearance.
Furthermore,
validated
aPD-1-induced
predictor
response
larger
glioblastoma,
melanoma,
head
neck
squamous
patients,
suggesting
is
generalizable
across
types
pretreatment
harbor
characteristic
gene
expression
signature
portends
higher
probability
inducing
therapy,
develop
machine
learning
model
predicts
PD-1-induced
from
baseline
sequencing.
findings
underscore
dynamic
role
during
immunotherapy,
highlighting
its
importance
prognostic
marker
potential
target
for
intervention
non-responders.
