medRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 15, 2024
Abstract
PURPOSE
Tissue-agnostic
biomarkers
that
capture
the
commonality
in
cancer
biology,
may
provide
a
new
avenue
for
treatment
development
and
optimization
across
types.
Here,
we
aimed
to
evaluate
validate
clinical
value
of
tissue-agnostic
cellular
morphometrics
biomarker
(CMB)
signature,
which
was
discovered
by
artificial
intelligence
(AI)
from
H&E-stained
whole-slide
images
(WSI)
diagnostic
slides
colon
cancers,
pan-gastrointestinal
(pan-GI)
pre-cancer
lesions
cancers.
METHODS
We
CMBs
WSI
using
our
well-established
CMB-ML
pipeline
established
CMB
risk
score
(CMBRS)
multivariate
regression
models.
Based
on
CMBRS,
assigned
individual
patients
The
Cancer
Genome
Atlas
Colon
Adenocarcinoma
Cohort
(TCGA-COAD)
(n=430)
groups
(CMBRG).
then
extensively
evaluated
CMBRS
CMBRG
multi-cohorts
with
different
types
GI
(n=2,219)
assessment
precancerous
(n=1,016).
unraveled
each
CMB-related
biological
function
bulk
RNA-sequencing,
single-cell
RNA-sequencing
(scRNA-seq)
opal
multiplex
immunohistochemistry
(IHC)
techniques.
RESULTS
From
TCGA-COAD
cohort,
developed
13-CMB
signature
constructed
CMBRS/CMBRG
predict
prognosis
patients.
Importantly,
this
proved
prognostic
predictive
values
TCGA
rectal,
gastric
esophageal
independent
traditional
factors.
These
findings
were
independently
validated
multiple
cohorts
Drum
Tower
Hospital.
Moreover,
exhibited
power
stratification
adenoma
early
neoplastic
lesion
predicting
progression.
In
addition,
demonstrated
impacts
gene
signatures
significant
increase
integration
Correlations
between
expression
levels
revealed
association
functions
including
cell
proliferation,
epithelial-to-mesenchymal
transition
immune
microenvironment.
microenvironment
prospectively
scRNA-seq
further
confirmed
Opal
IHC
staining
cancer.
CONCLUSION
This
study
demonstrates
AI-empowered
defined
functions,
can
be
used
settings
assess
risk,
diagnose
disease,
guide
interventions.
potentially
rapid,
robust
cost-effective
cross-cancer
prediction
is
essential
developing
common
strategy
Journal for ImmunoTherapy of Cancer,
Год журнала:
2025,
Номер
13(2), С. e010311 - e010311
Опубликована: Фев. 1, 2025
Background
There
is
uncertainty
around
clinical
applicability
of
tumor
mutational
burden
(TMB)
across
cancer
types,
in
part
because
inconsistency
between
TMB
measurements
from
different
platforms.
The
KEYNOTE
158
trial
supported
United
States
Food
and
Drug
Administration
(FDA)
approval
the
Foundation
Medicine
test
(FoundationOneCDx)
at
TMB≥10
mut/Mb
as
a
companion
diagnostic
(CDx)
for
single-agent
pembrolizumab
second+line.
Using
large
real-world
dataset
with
validated
survival
endpoint
data,
we
evaluated
validity
measurement
by
over
8000
patients
24
types
who
received
immune
checkpoint
inhibitor
(ICI).
Methods
Patients
advanced-stage
cancers
treated
anti-PD(L)1
therapy
standard-of-care
settings
were
included.
Deidentified
data
electronic
health
records
approximately
280
treatment
facilities
captured
into
clinico-genomic
database.
This
study
used
algorithm
FDA-approved
supporting
solid
CDx
composite
mortality
variable
against
national
death
index:
overall
(rwOS).
Following
prespecified
analysis
plan,
rwOS
level
was
assessed
using
Cox
PH
models
adjusted
Eastern
Cooperative
Oncology
Group
performance
status,
prior
treatment,
microsatellite
instability,
sex,
age,
opioid
rx
pretherapy,
socioeconomic
assessment.
Results
8440
met
inclusion
criteria.
Adjusting
aforementioned
factors,
increasing
significantly
associated
types;
HRs
(95%
CIs)
relative
to
TMB<5:
5
<10:
0.95
(0.89
1.02),
10
<20:
0.79
(0.73
0.85),
TMB≥20:
0.52
(0.47
0.58).
For
individual
statistical
power,
comparing
vs
TMB<10
favored
9
types.
In
stable
subcohorts
(except
colorectal
cancer),
remained
enriched
ICI
benefit.
Exploratory
assessments
receiving
ICI+chemotherapy
(n=4369)
observed
more
favorable
only
TMB≥20.
Conclusions
Across
>8000
ICI,
within
sufficient
elevated
based
on
compared
similar
lower
levels.
biomarker
deserves
further
investigation
potentially
guide
use
immunotherapy
expanded
contexts.
Cellular and Molecular Immunology,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 10, 2024
While
immunotherapy
with
immune
checkpoint
inhibitors
(ICIs)
has
revolutionized
the
clinical
management
of
various
malignancies,
a
large
fraction
patients
are
refractory
to
ICIs
employed
as
standalone
therapeutics,
necessitating
development
combinatorial
treatment
strategies.
Immunogenic
cell
death
(ICD)
inducers
have
attracted
considerable
interest
partners
for
ICIs,
at
least
in
part
owing
their
ability
initiate
tumor-targeting
adaptive
response.
However,
compared
either
approach
alone,
regimens
involving
ICD
and
not
always
shown
superior
activity.
Here,
we
discuss
accumulating
evidence
on
therapeutic
interactions
between
oncological
settings,
identify
key
factors
that
may
explain
discrepancies
preclinical
findings,
propose
strategies
address
existing
challenges
increase
efficacy
these
combinations
cancer.
CA A Cancer Journal for Clinicians,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 9, 2025
Despite
the
advances
in
cancer
prevention,
early
detection,
and
treatments,
all
of
which
have
led
to
improved
survival,
globally,
there
is
an
increased
incidence
cancer-related
deaths.
Although
each
patient
tumor
wholly
unique,
tipping
point
incurable
disease
common
across
patients:
dual
capacity
for
cancers
metastasize
resist
systemic
treatment.
The
discovery
genetic
mutations
epigenetic
variation
that
emerges
during
progression
highlights
evolutionary
ecology
principles
can
be
used
understand
how
evolves
a
lethal
phenotype.
By
applying
such
eco-evolutionary
framework,
authors
reinterpret
our
understanding
metastatic
process
as
one
ecologic
invasion
define
paths
evolving
therapy
resistance.
With
this
understanding,
draw
from
successful
strategies
optimized
strategic
interventions
with
goal
altering
trajectory
cancer.
Ultimately,
studying,
treating
using
provides
opportunity
improve
lives
patients
Frontiers in Cell and Developmental Biology,
Год журнала:
2025,
Номер
13
Опубликована: Апрель 10, 2025
Background
Colon
adenocarcinoma
(COAD)
remains
a
major
global
health
challenge
with
poor
prognosis
despite
advances
in
treatment,
underscoring
the
need
for
new
biomarkers.
As
novel
mode
of
cell
death,
cuproptosis
is
thought
to
be
potentially
involved
development
cancer.
However,
particularly
as
role
cuproptosis-related
genes
(CRGs)
COAD
and
therapy
unclear.
Methods
We
analyzed
RNA
sequencing
data
from
The
Cancer
Genome
Atlas
COAD,
focusing
on
CRG
expression
patterns
their
clinicopathological
correlations.
Using
Weighted
Gene
Co-expression
Network
Analysis
(WGCNA)
method,
we
identified
gene
module
most
strongly
linked
conducted
functional
enrichment
analysis
explore
roles
within
this
tumorigenesis.
A
prognostic
risk
model
based
four
CRGs
(ORC1,
PTTG1,
DLAT,
PDHB)
was
developed
stratify
patients
into
high-risk
low-risk
groups,
assessing
overall
survival,
tumor
microenvironment,
mutational
landscape
differences.
also
evaluated
therapeutic
effects
ferredoxin
1
(FDX1)
elesclomol
promoting
HCT116
LoVo
lines
through
various
experiments,
including
proliferation,
apoptosis
assessment,
mitochondrial
membrane
potential
evaluation,
DLAT
lipoylation
detection
via
Western
blot.
Results
Certain
showed
different
expressions
versus
normal
tissues.
WGCNA
cuproptosis,
crucial
pathways
like
cycle
regulation,
citrate
(TCA
cycle),
DNA
replication.
stratified
high
groups
scores,
revealing
that
had
shorter
survival
distinct
immune
infiltration,
while
were
more
sensitive
immunotherapy.
Experimental
results
indicated
FDX1
exerted
an
inhibitory
effect
its
combination
significantly
reduced
promoted
apoptosis,
increased
lipoylation,
lowered
cells.
Conclusion
findings
study
provided
perspective
research
biomarkers
strategies
value
patients,
laid
theoretical
foundation
future
clinical
application
CRGs.
Antibodies,
Год журнала:
2025,
Номер
14(2), С. 35 - 35
Опубликована: Апрель 11, 2025
Monoclonal
antibodies
(mAbs)
targeting
various
pathways
in
cancer
therapy
play
crucial
roles
enhancing
the
immune
system’s
ability
to
recognise
and
eliminate
tumour
cells.
These
therapies
are
designed
either
block
inhibitory
checkpoint
or
target
specific
cell
markers
for
direct
destruction.
Additionally,
mAbs
can
modulate
microenvironment,
enhance
antibody-dependent
cellular
cytotoxicity,
inhibit
angiogenesis,
further
amplifying
their
therapeutic
impact.
Below
is
a
summary
of
monoclonal
key
pathways,
along
with
indications
mechanisms
action,
which
reviewed
based
on
mechanisms.
Targeted Oncology,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 7, 2025
Tumour
mutational
burden
(TMB)
is
an
established
biomarker
for
patients
treated
with
immune
checkpoint
inhibitors
(ICIs).
The
optimal
TMB
cut-off
uncertain.
It
also
uncertain
whether
there
a
sharp
threshold
or
more
graduated
change
in
clinical
outcomes
as
increases.
We
aimed
to
determine
the
relationship
between
and
ICI
treatment
using
alternative
statistical
approaches
non-small
cell
lung
cancer.
was
evaluated
prognostic
predictive
advanced
cancer
utilising
data
from
two
real-world
cohorts
of
use
(n
=
968)
three
randomised
controlled
trials
evaluating
ICIs
1588).
non-linear
continuous
response/survival/efficacy
methods
that
do
not
require
specifying
cut-off.
Median
all
seven
mutations/megabase,
excluding
MYSTIC,
where
median
13
mutations/megabase.
Progressively
higher
significantly
associated
progressively
objective
response
rate
progression-free
survival
ICI-treated
Memorial
Sloan
Kettering-Integrated
Mutation
Profiling
Actionable
Cancer
Targets
[MSK-IMPACT]
(objective
rate:
p
<
0.001,
survival:
0.001),
Strata
Clinical
Molecular
Database
[SCMD]
(progression-free
0.023)
OAK/POPLAR
0.017,
0.001)
This
apparent
chemotherapy.
There
no
obvious
response.
overall
complex
heterogeneous.
Using
single
analyse
may
hide
important
information.
Methods
provide
nuance
underlying
enable
readers
judge
themselves
value
limitations
cut-offs
proposed
practice.
Frontiers in Immunology,
Год журнала:
2025,
Номер
15
Опубликована: Янв. 20, 2025
Tumor
mutation
burden
(TMB),
defined
as
the
number
of
somatic
mutations
tumor
DNA,
is
a
well-recognized
immunotherapy
biomarker
endorsed
by
regulatory
agencies
and
pivotal
in
stratifying
patients
for
clinical
decision-making.
However,
measurement
errors
can
compromise
accuracy
TMB
assessments
reliability
outcomes,
introducing
bias
into
statistical
inferences
adversely
affecting
thresholds
through
cumulative
magnified
effects.
Given
unavoidable
with
current
technologies,
it
essential
to
adopt
modeling
methods
determine
optimal
TMB-positive
threshold.
Therefore,
we
proposed
universal
framework,
TMBocelot,
which
accounts
pairwise
data
stabilize
determination
hierarchical
thresholds.
TMBocelot
utilizes
Bayesian
approach
based
on
stationarity
principle
Markov
chains
implement
an
enhanced
error
control
mechanism,
utilizing
moderately
informative
priors.
Simulations
retrospective
from
438
reveal
that
outperforms
conventional
terms
accuracy,
consistency
parameter
estimations,
threshold
determination.
enables
precise
reliable
delineation
thresholds,
facilitating
implementation
immunotherapy.
The
source
code
publicly
available
at
https://github.com/YixuanWang1120/TMBocelot
.