Journal for ImmunoTherapy of Cancer,
Год журнала:
2025,
Номер
13(3), С. e010547 - e010547
Опубликована: Март 1, 2025
Checkpoint
inhibitors
have
led
to
remarkable
benefits
in
non-small
cell
lung
cancer
(NSCLC),
yet
response
rates
remain
below
expectations.
High-dimensional
analysis
and
mechanistic
experiments
clinical
samples
relevant
NSCLC
models
uncovered
the
immune
composition
of
tissues,
providing
invaluable
insights
into
functional
properties
tumor-infiltrating
T
cells
myeloid
cells.
Among
cells,
type
1
conventional
dendritic
(cDC1s)
stand
out
for
their
unique
ability
induce
effector
CD8
against
neoantigens
coordinate
antitumoral
immunity.
Notably,
resident
cDC1
are
particularly
abundant
long-lived
express
a
tissue-specific
gene
program,
underscoring
central
role
Here,
we
discuss
recent
on
induction
regulation
responses
cancer,
separating
it
from
tissue-agnostic
knowledge
generated
heterogeneous
tumor
models.
We
focus
most
studies
dissecting
states
spatial
distribution
across
stages
impact
neoantigens.
Finally,
highlight
gaps
emerging
strategies
harness
immunostimulatory
potential.
Immunity,
Год журнала:
2023,
Номер
56(10), С. 2270 - 2295
Опубликована: Окт. 1, 2023
Immune
evasion
is
a
hallmark
of
cancer,
enabling
tumors
to
survive
contact
with
the
host
immune
system
and
evade
cycle
recognition
destruction.
Here,
we
review
current
understanding
cancer
cell-intrinsic
factors
driving
evasion.
We
focus
on
T
cells
as
key
effectors
anti-cancer
immunity
argue
that
destruction
by
gaining
control
over
pathways
usually
serve
maintain
physiological
tolerance
self.
Using
this
framework,
place
recent
mechanistic
advances
in
into
broad
categories
cell
localization,
antigen
recognition,
acquisition
optimal
effector
function.
discuss
redundancy
involved
identify
knowledge
gaps
must
be
overcome
better
target
evasion,
including
need
for
better,
routinely
available
tools
incorporate
growing
mechanisms
stratify
patients
therapy
trials.
Abstract
Tertiary
lymphoid
structures
(TLS)
are
organized
aggregates
of
immune
cells
that
form
under
pathological
conditions.
However,
the
predictive
value
TLS
in
clear
cell
renal
carcinoma
(ccRCC)
for
immunotherapies
remains
unclear.
We
comprehensively
assessed
implications
prognosis
and
immunological
responses
spatial
maturation
heterogeneity
655
ccRCC
patients.
A
higher
proportion
early‐TLS
was
found
peritumoral
TLS,
while
intratumoral
mainly
comprised
secondary
follicle‐like
(SFL‐TLS),
indicating
markedly
better
survival.
Notably,
presence
especially
SFL‐TLS,
significantly
correlated
with
survival
objective
reflection
rate
patients
receiving
anti‐Programmed
Cell
Death
Protein‐1
(PD‐1)/Programmed
Death‐Ligand‐1
(PD‐L1)
immunotherapies.
In
cluster,
primary
tumor‐associated
macrophages,
Treg
infiltration
regions
increased
prominently,
suggesting
an
immunosuppressive
tumor
microenvironment.
Interestingly,
transcriptome
annotation
multispectral
fluorescence
showed
abundance
mature
plasma
within
has
capacity
to
produce
IgA
IgG,
which
demonstrate
response
rates
a
superior
subjected
immunotherapy.
conclusion,
this
study
revealed
on
status
clinical
responses,
allowing
improvement
precise
ccRCC.
The Journal of Open Source Software,
Год журнала:
2024,
Номер
9(97), С. 6604 - 6604
Опубликована: Май 29, 2024
Multiplexed
imaging
data
are
revolutionizing
our
understanding
of
the
composition
and
organization
tissues
tumors
("Catching
up
with
Tissue
Imaging,"
2022).A
critical
aspect
such
"tissue
profiling"
is
quantifying
spatial
relationships
among
cells
at
different
scales
from
interaction
neighboring
to
recurrent
communities
multiple
types.This
often
involves
statistical
analysis
10
7
or
more
in
which
100
biomolecules
(commonly
proteins)
have
been
measured.While
software
tools
currently
cater
transcriptomics
(Liu
et
al.,
2022),
there
remains
a
need
for
toolkits
explicitly
tailored
complexities
multiplexed
including
seamlessly
integrate
image
visualization
exploration.We
introduce
SCIMAP,
Python
package
specifically
crafted
address
these
challenges.With
users
can
efficiently
preprocess,
analyze,
visualize
large
datasets,
facilitating
exploration
their
significance.SCIMAP's
modular
design
enables
integration
new
algorithms,
enhancing
its
capabilities
analysis.
