International Journal of Breast Cancer,
Journal Year:
2024,
Volume and Issue:
2024(1)
Published: Jan. 1, 2024
Background
:
Trastuzumab
resistance
is
associated
with
overexpressing
the
human
epidermal
growth
factor
receptor
2
(HER‐2),
which
results
from
altered
phosphoinositide
3‐kinase
(PI3K)
pathway
in
breast
cancer
patients.
Objective
We
quantified
frequency
of
PI3K
enzyme
single
and
double‐point
mutations
Mexican
patients
HER‐2
its
association
clinical‐pathological
variables.
Methods
embedded
samples
paraffin
60
patients,
extracted
their
DNA,
evaluated
49
HER‐2‐positive
tumors.
focused
on
for
one
exon
20
(H1047R)
two
9
(E545K,
E542K)
hotspots
characterized
them
as
mutations.
The
mean
patient
follow‐up
was
86
months.
Results
Of
who
tested
positive
cancer,
14.28%
showed
PI3K,
71.42%
single‐point,
28.56%
found
single‐point
H1047R
(42.85%)
E545K
(28.57%).
Only
exhibited
mutations:
E542K/E545K
another
H1047R/E545K
(14.28%
each).
Although
we
observed
lower
survival
did
not
find
a
significant
between
these
factors
(
p
=
0.191).
However,
were
significantly
clinical
stages
diagnosis
tumor
size
0.027
0.04,
respectively).
Conclusion
Single
are
related
to
advanced
clinical–pathological
traits
overexpression,
future
molecular
studies
necessary
understand
findings.
Clinical & Translational Oncology,
Journal Year:
2024,
Volume and Issue:
26(8), P. 1856 - 1871
Published: April 6, 2024
Abstract
Latin
American
populations,
characterized
by
intricate
admixture
patterns
resulting
from
the
intermingling
of
ancestries
European,
Native
(NA)
Asian,
and
African
which
result
in
a
vast
complex
genetic
landscape,
harboring
unique
combinations
novel
variants.
This
diversity
not
only
poses
challenges
traditional
population
genetics
methods
but
also
opens
avenues
for
deeper
understanding
its
implications
health.
In
cancer,
interplay
between
ancestry,
lifestyle
factors,
healthcare
disparities
adds
layer
complexity
to
varying
incidence
mortality
rates
observed
across
different
subpopulations.
interdependence
has
been
unveiled
through
numerous
studies,
whether
conducted
on
patients
residing
continent
or
abroad,
revealing
discernible
differences
germline
composition
that
influence
divergent
disease
phenotypes
such
as
higher
Luminal
B
Her2
breast
tumors,
EGFR
KRAS
mutated
lung
adenocarcinomas
addition
an
enrichment
BRCA1/2
pathogenic
variants
than
expected
prevalence
colorectal
cancer
associated
genes
APC
MLH1.
prostate
risk
have
solely
identified
populations.
Due
divergence,
inputs
each
individual
ancestry
seem
carry
independent
contributions
development
these
phenotypes.
By
characteristics,
genomic
hold
promising
avenue
tailoring
prognostic
assessments
optimizing
responses
oncological
interventions.
Cancer Research,
Journal Year:
2023,
Volume and Issue:
83(15), P. 2600 - 2613
Published: May 5, 2023
Abstract
Somatic
mutational
profiling
is
increasingly
being
used
to
identify
potential
targets
for
breast
cancer.
However,
limited
tumor-sequencing
data
from
Hispanic/Latinas
(H/L)
are
available
guide
treatment.
To
address
this
gap,
we
performed
whole-exome
sequencing
(WES)
and
RNA
on
146
tumors
WES
of
matched
germline
DNA
140
H/L
women
in
California.
Tumor
intrinsic
subtype,
somatic
mutations,
copy-number
alterations,
expression
profiles
the
were
characterized
compared
with
non-Hispanic
White
(White)
The
Cancer
Genome
Atlas
(TCGA).
Eight
genes
significantly
mutated
including
PIK3CA,
TP53,
GATA3,
MAP3K1,
CDH1,
CBFB,
PTEN,
RUNX1;
prevalence
mutations
these
was
similar
that
observed
TCGA.
Four
previously
reported
Catalogue
Mutations
(COSMIC)
mutation
signatures
(1,
2,
3,
13)
found
dataset,
along
signature
16
has
not
been
other
cancer
datasets.
Recurrent
amplifications
drivers
MYC,
FGFR1,
CCND1,
ERBB2,
as
well
a
recurrent
amplification
17q11.2
associated
high
KIAA0100
gene
implicated
aggressiveness.
In
conclusion,
study
identified
higher
COSMIC
affecting
women.
These
results
highlight
necessity
studying
underrepresented
populations.
Significance:
Comprehensive
characterization
genomic
transcriptomic
alterations
Hispanic/Latina
patients
reveals
distinct
genetic
signatures,
demonstrating
importance
inclusive
studies
ensure
equitable
care
patients.
See
related
commentary
by
Schmit
et
al.,
p.
2443
JAMA Network Open,
Journal Year:
2023,
Volume and Issue:
6(10), P. e2339584 - e2339584
Published: Oct. 25, 2023
Black
women
in
the
United
States
have
higher
breast
cancer
(BC)
mortality
rates
than
White
women.
The
combined
role
of
multiple
factors,
including
body
mass
index
(BMI),
age,
and
tumor
subtype,
remains
unclear.To
assess
association
race
ethnicity
with
survival
among
clinical
trial
participants
early-stage
BC
(eBC)
according
to
BMI.This
cohort
study
analyzed
data,
as
November
12,
2021,
from
enrolled
between
1997
2010
4
randomized
adjuvant
chemotherapy
trials:
Cancer
Leukemia
Group
B
(CALGB)
9741,
49907,
40101
well
North
Central
Treatment
(NCCTG)
N9831,
legacy
groups
Alliance
Clinical
Trials
Oncology.
Median
follow-up
was
9.8
years.Non-Hispanic
Hispanic
were
compared
non-Hispanic
within
subgroups
subtype
(hormone
receptor
positive
[HR+]/ERBB2
[formerly
HER2]
negative
[ERBB2-],
ERBB2+,
HR-/ERBB2-),
age
(<50,
50
<65,
≥65
years),
BMI
(<18.5,
18.5
<25.0,
25.0
<30.0,
≥30.0).Recurrence-free
(RFS)
overall
(OS).Of
9479
participants,
436
(4.4%)
Hispanic,
871
(8.8%)
Black,
7889
(79.5%)
White.
median
(range)
52
(19.0-89.7)
years.
Among
HR+/ERBB2-
tumors,
individuals
had
worse
RFS
(hazard
ratio
[HR],
1.49;
95%
CI,
1.04-2.12;
5-year
RFS,
88.5%
vs
93.2%)
individuals,
although
global
test
for
not
significant
any
subtype.
There
no
OS
differences
by
Race
associated
young
(age
<50
years;
P
=
.008);
(HR,
1.34;
1.04-1.71;
OS,
86.6%
92.0%)
1.62;
1.16-2.29;
86.2%
participants.
BMIs
25
less
30,
having
1.81;
1.23-2.68;
83.2%
87.3%)
participants.In
this
study,
racial
ethnic
disparities
identified
patients
eBC
receiving
standardized
initial
care,
potentially
at-risk
subgroups,
whom
focused
interventions
may
improve
outcomes,
found.
JCO Global Oncology,
Journal Year:
2025,
Volume and Issue:
11
Published: Feb. 1, 2025
Variations
in
somatic
genetic
alterations
can
be
observed
across
different
cancer
types
and
diverse
populations.
Understanding
the
frequency
of
oncogenic
variants
specific
populations
helps
elucidate
carcinogenesis
risk
factors,
with
often
serving
as
treatment
markers.
Data
regarding
landscape
main
tumor
subtypes
patients
from
Latin
America
Caribbean
(LAC)
have
increased
recently,
highlighting
important
differences
contrasting
North
America,
Europe,
Asia.
Many
these
pressing
implications
screening,
factor
management,
targeted
therapies,
health
care
policy.
This
review
aims
to
synthesize
existing
information
on
patients'
tumors
LAC.
We
included
most
frequent
LAC:
prostate
cancer,
female
breast
colon
gastric
lung
cancer.
Furthermore,
we
add
that
are
relevant
LAC
because
their
high
incidence,
subtypes,
or
aggressive
phenotypes,
namely
gallbladder
acral
melanoma,
hematologic
neoplasms,
respectively.
The
data
highlight
distinct
reported
prevalences
various
a
spectrum
neoplasms.
Moreover,
it
demonstrates
an
extensive
number
molecular
studies
been
carried
out
region,
improving
level
characterization
for
this
complex,
admixed
population.
Nonetheless,
many
individual
countries
still
scarce
altogether
missing,
underscoring
need
establish
collaborative
groups
further
advance
progress
comprehensive
research
area
should
not
substituted
other
regions
seek
empower
choices
improve
our
outlook.
Nature Communications,
Journal Year:
2025,
Volume and Issue:
16(1)
Published: March 10, 2025
Gold
standard
genomic
datasets
severely
under-represent
non-European
populations,
leading
to
inequities
and
a
limited
understanding
of
human
disease.
Therapeutics
outcomes
remain
hidden
because
we
lack
insights
that
could
be
gained
from
analyzing
ancestrally
diverse
data.
To
address
this
significant
gap,
present
PhyloFrame,
machine
learning
method
for
equitable
precision
medicine.
PhyloFrame
corrects
ancestral
bias
by
integrating
functional
interaction
networks
population
genomics
data
with
transcriptomic
training
Application
breast,
thyroid,
uterine
cancers
shows
marked
improvements
in
predictive
power
across
all
ancestries,
less
model
overfitting,
higher
likelihood
identifying
known
cancer-related
genes.
Validation
fourteen
demonstrates
is
better
able
adjust
ancestry
populations.
The
ability
provide
accurate
predictions
underrepresented
groups,
particular,
substantially
increased.
Analysis
performance
the
most
continental
group,
African,
illustrates
how
phylogenetic
distance
negatively
impacts
performance,
as
well
PhyloFrame's
capacity
mitigate
these
effects.
These
results
demonstrate
artificial
intelligence
(AI)
approaches
can
contribute
representation
medical
research.
Ancestral
cancer
limits
effectiveness
Here,
authors
introduce
framework
adjusts
disease
signatures
based
on
data,
improve
medicine
ancestries
cancers.
JCO Global Oncology,
Journal Year:
2025,
Volume and Issue:
11
Published: April 1, 2025
The
importance
of
having
region-specific
data
when
planning
health
interventions
has
become
evident
in
recent
years.
Nonetheless,
several
world
regions,
including
Latin
America
and
the
Caribbean
(LAC),
still
face
significant
challenges.
These
regions
need
to
develop
strategies
specifically
designed
consider
inherent
characteristics
their
population
composite
sociodemographic
characteristics.
More
than
20%
global
cancer
incidence
arises
LAC.
Yet,
treatment,
prevention,
follow-up
guidelines
area
are
frequently
based
on
studies
that
mainly
include
patients
from
North
America,
Europe,
Asia.
As
personalized
approaches
ubiquitous
medical
practice,
amount
information
emerging
LAC
risen
considerably.
In
this
review,
we
seek
present
a
comprehensive
summary
frequency
germline
genetic
variants
hereditary
syndromes
highlight
relevant
differences
associated
with
patients,
founder
recurrent
variants,
while
showcasing
potential
features
might
be
oncology
practices.
Patients
diagnosed
with
basal-like
(also
known
as
basal)
subtype
breast
cancer
face
a
more
aggressive
disease
course
and
dismal
prognosis
than
patients
luminal
A
B
molecular
subtypes
(1-4).
We
mined
published
microarray
data
(5,
6)
to
understand
in
an
unbiased
fashion
the
most
distinguishing
genetic
transcriptional
features
of
tumors
from
basal
or
cancer.
identified
single
nucleotide
polymorphism,
rs158923,
residing
within
NDUFAF2,
among
significant
differences
In
separate
cohort
cancer,
we
observed
transcriptome-wide
differential
expression
NDUFAF2
transcript.
Analysis
patient
survival
revealed
that
primary
tumor
was
correlated
distant
metastasis-free
Sequence
variation
gene
may
be
important
understanding
background
favor
development
human
Patients
diagnosed
with
basal-like
(also
known
as
basal)
subtype
breast
cancer
face
a
more
aggressive
disease
course
and
dismal
prognosis
than
patients
luminal
A
B
molecular
subtypes
(1-4).
We
mined
published
microarray
data
(5,
6)
to
understand
in
an
unbiased
fashion
the
most
distinguishing
genetic
transcriptional
features
of
tumors
from
basal
or
cancer.
identified
single
nucleotide
polymorphism,
rs10942856,
residing
within
SCAMP1,
among
significant
differences
In
separate
cohort
cancer,
we
observed
transcriptome-wide
differential
expression
SCAMP1
transcript.
Analysis
patient
survival
revealed
that
primary
tumor
was
correlated
distant
metastasis-free
Sequence
variation
gene
may
be
important
understanding
background
favor
development
human
Patients
diagnosed
with
basal-like
(also
known
as
basal)
subtype
breast
cancer
face
a
more
aggressive
disease
course
and
dismal
prognosis
than
patients
luminal
A
B
molecular
subtypes
(1-4).
We
mined
published
microarray
data
(5,
6)
to
understand
in
an
unbiased
fashion
the
most
distinguishing
genetic
transcriptional
features
of
tumors
from
basal
or
cancer.
identified
single
nucleotide
polymorphism,
rs15009,
residing
within
PLK2,
among
significant
differences
In
separate
cohort
cancer,
we
observed
transcriptome-wide
differential
expression
PLK2
transcript.
Analysis
patient
survival
revealed
that
primary
tumor
was
correlated
distant
metastasis-free
Sequence
variation
gene
may
be
important
understanding
background
favor
development
human