Medicina,
Journal Year:
2025,
Volume and Issue:
61(4), P. 709 - 709
Published: April 12, 2025
Cancer
medications
can
cause
cardiac
issues,
which
are
difficult
to
treat
in
oncologic
patients
because
of
the
risk
complications.
In
some
cases,
this
may
significantly
impact
their
well-being
and
treatment
outcomes.
Overall,
these
complications
fall
under
term
“drug
induced
cardiotoxicity”,
mainly
due
chemotherapy
drugs
being
specifically
toxic
heart,
causing
a
decrease
heart’s
capacity
pump
blood
efficiently
leading
reduction
left
ventricular
ejection
fraction
(LVEF),
subsequently
possibly
heart
failure.
Anthracyclines,
alkylating
agents,
targeted
therapies
for
cancer
hold
potential
harmful
effects
on
heart.
The
incidence
heart-related
issues
varies
from
patient
depends
multiple
factors,
including
type
medication,
dosage,
duration
treatment,
pre-existing
conditions.
underlying
mechanism
oncologic-drug-induced
cardiovascular
is
quite
complex.
One
particular
group
drugs,
called
anthracyclines,
have
garnered
attention
oxidative
stress
ability
direct
harm
muscle
cells.
Reactive
oxygen
species
(ROS)
by
inducing
damage
programmed
cell
death
Conventional
biomarkers
alone
only
indicate
degree
that
has
already
occurred
and,
therefore,
early
detection
key.
Novel
methods
like
genetic
profiling
developed
detect
individuals
at
risk,
prior
onset
clinical
symptoms.
Key
management
strategies—including
detection,
personalized
medicine
approaches,
use
novel
biomarkers—play
crucial
role
mitigating
cardiotoxicity
improving
Identification
generated
alterations
association
an
increased
likelihood
will
allow
more
approach,
aiming
decreasing
rates
events
while
maintaining
high
oncological
efficacy.
Oncology
drug-induced
managed
through
combination
preventive
strategies
therapeutic
interventions
union
knowledge.
Circulation Cardiovascular Quality and Outcomes,
Journal Year:
2024,
Volume and Issue:
18(1)
Published: Sept. 2, 2024
Risk
stratification
strategies
for
cancer
therapeutics-related
cardiac
dysfunction
(CTRCD)
rely
on
serial
monitoring
by
specialized
imaging,
limiting
their
scalability.
We
aimed
to
examine
an
application
of
artificial
intelligence
(AI)
ECG
images
as
a
surrogate
imaging
risk
biomarkers
and
its
association
with
early
CTRCD.
Across
US-based
health
system
(2013-2023),
we
identified
1550
patients
(aged,
60
[interquartile
range,
51-69]
years,
1223
[78.9%]
women)
without
cardiomyopathy
who
received
anthracyclines
or
trastuzumab
breast
non-Hodgkin
lymphoma
had
performed
≤12
months
before
treatment.
deployed
validated
AI
model
left
ventricular
systolic
baseline
defined
low-,
intermediate-,
high-risk
groups
based
AI-ECG
probabilities
<0.01,
0.01
0.1,
≥0.1
(positive
screen),
respectively.
explored
the
CTRCD
(new
cardiomyopathy,
heart
failure,
ejection
fraction
<50%),
<40%,
up
12
after
In
mechanistic
analysis,
assessed
between
global
longitudinal
strain
in
studies
within
15
days
each
other.
Among
known
(median
follow-up,
14.1
13.4-17.1]
months),
83
(5.4%),
562
(36.3%),
905
(58.4%)
were
classified
high,
intermediate,
low
risk,
respectively,
AI-ECG.
A
versus
low-risk
screen
(≥0.1
<0.01)
was
associated
3.4-fold
13.5-fold
higher
incidence
(adjusted
hazard
ratio,
3.35
[95%
CI,
2.25-4.99])
<40%
13.52
5.06-36.10]),
Post
hoc
analyses
supported
increases
6
event.
1428
temporally
linked
echocardiograms
ECGs,
worse
(global
strain,
-19%
-21%
-17%]
<0.1,
-15%
-9%]
≥0.5
[P<0.001]).
applied
can
stratify
anthracycline
exposure
setting
therapy.
medRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: March 15, 2024
ABSTRACT
Background
Risk
stratification
strategies
for
cancer
therapeutics-related
cardiac
dysfunction
(CTRCD)
rely
on
serial
monitoring
by
specialized
imaging,
limiting
their
scalability.
Objectives
To
examine
an
artificial
intelligence
(AI)-enhanced
electrocardiographic
(AI-ECG)
surrogate
imaging
risk
biomarkers,
and
its
association
with
CTRCD.
Methods
Across
a
five-hospital
U.S.-based
health
system
(2013-2023),
we
identified
patients
breast
or
non-Hodgkin
lymphoma
(NHL)
who
received
anthracyclines
(AC)
and/or
trastuzumab
(TZM),
control
cohort
receiving
immune
checkpoint
inhibitors
(ICI).
We
deployed
validated
AI
model
of
left
ventricular
systolic
(LVSD)
to
ECG
images
(≥0.1,
positive
screen)
explored
i)
global
longitudinal
strain
(GLS)
measured
within
15
days
(
n
=7,271
pairs);
ii)
future
CTRCD
(new
cardiomyopathy,
heart
failure,
ejection
fraction
[LVEF]<50%),
LVEF<40%.
In
the
ICI
correlated
baseline
AI-ECG-LVSD
predictions
downstream
myocarditis.
Results
Higher
AI-ECG
LVSD
were
associated
worse
GLS
(−18%
[IQR:-20
−17%]
predictions<0.1,
−12%
[IQR:-15
−9%]
≥0.5
p
<0.001)).
1,308
AC/TZM
(age
59
[IQR:49-67]
years,
999
[76.4%]
women,
80
[IQR:42-115]
follow-up
months)
screen
was
∼2-fold
∼4.8-fold
increase
in
incidence
composite
endpoint
(adj.HR
2.22
[95%CI:1.63-3.02]),
LVEF<40%
4.76
[95%CI:2.62-8.66]),
respectively.
Among
2,056
65
[IQR:57-73]
913
[44.4%]
63
[IQR:28-99]
not
myocarditis
1.36
[95%CI:0.47-3.93]).
Conclusion
applied
can
stratify
anthracycline
exposure.
CONDENSED
There
is
unmet
need
scalable
affordable
biomarkers
(CTRCD).
this
hospital
system-based,
decade-long
without
cardiomyopathy
trastuzumab,
algorithm
individuals
2-fold
4.8-fold
developing
any
<40%,
This
supports
role
interpretation
as
approach
initiating
cardiotoxic
chemotherapy.
Cardio-Oncology,
Journal Year:
2025,
Volume and Issue:
11(1)
Published: Feb. 22, 2025
Cancer
and
cardiovascular
diseases
are
the
leading
causes
of
mortality
worldwide,
as
they
share
common
risk
factors
exacerbate
outcomes
when
coexist.
This
study
aimed
to
assess
clinical
characteristics
patients
with
a
history
cancer
myocardial
injury
(MI)
presenting
suspected
acute
coronary
syndrome
(ACS)
in
an
emergency
setting.
retrospective
cohort
included
3,626
admitted
department
ACS
between
2012
2013.
Patients
were
categorized
on
basis
their
presence
MI.
Clinical
variables
associations
MI
all-cause
analyzed
over
four-year
follow-up
period
via
univariate
multivariate
Cox
regression
models.
Of
cohort,
10.6%
(n
=
384)
had
cancer.
Compared
other
groups,
older,
more
comorbidities,
presented
higher
incidence
type
2
infarction
(T2MI).
At
follow-up,
was
significantly
greater
among
(68.8%)
than
without
(32.4%)
noncancer
or
(42.5%
vs.
11.3%,
respectively).
Multivariate
analysis
identified
patients,
particularly
those
MI,
independent
predictors
mortality.
who
present
departments
ACS,
cancer,
face
do.
The
prevalence
T2MI
this
population
underscores
need
for
tailored
management
strategies.
Circulation Genomic and Precision Medicine,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 24, 2025
Artificial
intelligence
is
poised
to
transform
cardio-oncology
by
enabling
personalized
care
for
patients
with
cancer,
who
are
at
a
heightened
risk
of
cardiovascular
disease
due
both
the
and
its
treatments.
The
rising
prevalence
cancer
availability
multiple
new
therapeutic
options
has
resulted
in
improved
survival
among
expanded
scope
not
only
short-term
but
also
long-term
risks
resulting
from
However,
there
considerable
heterogeneity
risk,
driven
nature
malignancy
as
well
each
individual’s
unique
characteristics.
use
novel
therapies,
such
targeted
therapies
immune
checkpoint
inhibitors,
across
groups
broadened
populations
which
cardiotoxicity
become
an
important
consideration
therapy.
Therefore,
ability
understand
personalize
management
key
target
artificial
intelligence,
can
deduce
respond
complex
patterns
within
data.
These
advances
necessitate
overview
established
biomarkers
spanning
advanced
imaging,
diagnostic
testing,
multi-omics,
evidence
supporting
their
use,
proven
proposed
role
refining
this
attain
greater
precision
prediction
cardio-oncologic
care.
Archive of Clinical Cases,
Journal Year:
2025,
Volume and Issue:
12(1), P. 44 - 50
Published: March 17, 2025
Cardiac
metastases
are
rare
but
devastating
complications
of
malignancies.
Squamous
cell
carcinoma
(SCC),
particularly
from
non-pulmonary
origins,
infrequently
metastasizes
to
the
heart,
making
its
cardiac
involvement
an
unusual
and
underreported
phenomenon.
We
present
a
case
series
four
patients
diagnosed
with
myocardial
endocardial
SCC
at
our
center
over
two
years.
Clinical
presentation,
imaging
modalities,
suspected
metastatic
pathways,
management
strategies,
outcomes
were
analyzed.
Patients
(ages
41-74,
three
males,
one
female)
had
primary
in
vulva,
tongue,
buccal
mucosa,
lung.
Symptoms
varied,
including
dyspnea,
hypotension,
chest
pain,
stroke.
All
elevated
troponin
levels.
Echocardiography
was
crucial
for
initial
detection,
while
PET/CT
confirmed
metastases,
patient
undergoing
MRI.
Hematogenous
spread
likely
pathway
most
cases.
Treatment
primarily
palliative;
only
received
chemotherapy
post-diagnosis.
Survival
post-cardiac
metastasis
diagnosis
ranged
few
days
six
months.
Myocardial
often
indicate
advanced
disease
poor
prognosis.
Early
recognition
through
multimodal
biomarkers
such
as
may
facilitate
timely
palliative
interventions.
Increased
collaboration
between
oncology
cardiology
improve
supportive
care
symptom
these
patients.
Journal of the American Heart Association,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 27, 2025
Background
Allostatic
load
(AL)
is
a
measurement
of
physiological
burden
chronic
stress,
operationalized
using
composite
score
derived
from
biomarkers
multiple
physiologic
systems.
The
relationship
between
AL
and
anthracycline
cardiotoxicity
unclear.
Methods
Results
We
included
consecutive
adult
patients
who
underwent
anthracycline‐based
chemotherapy
2016
to
2019
for
any
type
cancer.
Patients
with
preexisting
heart
failure
lack
measures
were
excluded
the
analysis.
A
was
calculated
9
tested
before
initiating
chemotherapy.
end
point
development
(defined
as
clinical
or
drop
in
left
ventricular
ejection
fraction≥10%
<50%).
total
718
analysis
(29%
Non‐Hispanic
White,
31%
Black,
40%
Hispanic).
mean
2.4±1.4
it
significantly
higher
Black
Hispanic
compared
White
(2.5±1.3
versus
2.4±1.3
2.1±1.5
P
=0.031).
In
developed
cardiotoxicity,
than
without
(2.7±1.4
2.3±1.3,
=0.006).
independently
associated
incident
after
adjusting
race
ethnicity,
age,
sex,
cardiovascular
risk
factors,
dose,
baseline
fraction,
cancer
type,
metastasis
(hazard
ratio
1.20
per
1
increase
[95%
CI,
1.02–1.43],
=0.033).
remained
additional
adjustment
social
determinants
health.
Conclusions
can
be
potential
important
prognostic
marker
prediction
undergoing
cardiotoxic
treatment
independent