medRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2023,
Номер
unknown
Опубликована: Окт. 15, 2023
Abstract
Background
Temozolomide
(TMZ)
treatment
has
demonstrated,
but
variable,
impact
on
glioma
prognosis.
This
study
examines
associations
of
survival
with
DNA
repair
gene
germline
polymorphisms
among
patients
who
did
and
not
have
TMZ
treatment.
Identifying
genetic
markers
which
sensitize
tumor
cells
to
could
personalize
therapy
improve
outcomes.
Methods
We
evaluated
TMZ-related
pathogenic
SNPs
genetically
predicted
transcript
levels
within
34
genes
1504
from
the
UCSF
Adult
Glioma
Study
Mayo
Clinic
whose
diagnoses
spanned
pre-
post-TMZ
eras
major
known
prognostic
molecular
subtypes.
Results
Among
those
received
TMZ,
5
were
associated
overall
survival,
in
receive
TMZ.
Only
rs2308321-G,
MGMT
,
was
decreased
(HR=1.21,
p=0.019)
for
all
Rs73191162-T
(near
UNG
),
rs13076508-C
PARP3
rs7840433-A
NEIL2
rs3130618-A
MSH5
)
only
certain
subtypes,
suggesting
subtype-specific
chemo-sensitization.
Genetically
elevated
compared
normal
brain
expression
PNKP
dramatically
worse
TMZ-treated
IDH
-mutant
1p/19q
non-codeleted
gliomas
(p=0.015).
Similarly,
TDG
expressions
altered
Conclusions
Functional
alterations
sensitivity,
measured
by
adults
glioma,
these
variants
should
be
prospective
analyses
functional
studies.
Key
points
observed
specific
cases
receiving
An
variant
may
reduce
indirectly
through
myelosuppression
Decreased
Importance
The
introduction
temozolomide
as
a
part
standard-of-care
marked
last
notable
increase
patient
survival.
However,
effectiveness
is
universal,
can
result
serious
complications.
mechanism
action
behind
drug
damaging
methyl
groups
across
genome
leveraging
damage
(DDR)
mechanisms
signal
programmed
cell
death.
Previous
literature
identified
that
defects
DDR
alter
sensitivity.
Using
unique
dataset
spans
eras,
we
demonstrate
variation
DDR-related
significant
treated
no
effects
pre-TMZ
era.
suggests
used
Alimentary Pharmacology & Therapeutics,
Год журнала:
2024,
Номер
60(6), С. 787 - 795
Опубликована: Июль 10, 2024
Azithromycin
(AZ)
is
a
widely
used
antibiotic.
The
aim
of
this
study
was
to
characterise
the
clinical
features,
outcomes,
and
HLA
association
in
patients
with
drug-induced
liver
injury
(DILI)
due
AZ.
Abstract
Background
Glioma
is
one
of
the
leading
types
brain
tumor,
but
few
etiologic
factors
primary
glioma
have
been
identified.
Previous
observational
research
has
shown
an
association
between
viral
infection
and
risk.
In
this
study,
we
used
Mendelian
randomization
(MR)
analysis
to
explore
direction
magnitude
causal
relationship
glioma.
Methods
We
conducted
a
two-sample
bidirectional
MR
using
genome-wide
study
(GWAS)
data.
Summary
statistics
data
were
collected
from
largest
meta-analysis
GWAS,
involving
12,488
cases
18,169
controls.
Single-nucleotide
polymorphisms
(SNPs)
associated
with
exposures
as
instrumental
variables
estimate
twelve
infections
corresponding
GWAS
addition,
sensitivity
analyses
performed.
Results
After
correcting
for
multiple
tests
analysis,
detected
that
genetically
predicted
herpes
zoster
(caused
by
Varicella
virus
(VZV)
infection)
significantly
decreased
risk
low-grade
(LGG)
development
(OR
=
0.85,
95%
CI:
0.76–0.96,
P
0.01,
FDR
0.04).
No
effects
other
eleven
on
reverse
causality
detected.
Conclusions
This
first
studies
in
field.
show
robust
evidence
supporting
caused
VZV
reduces
LGG.
The
findings
our
advance
understanding
etiology
Neuro-Oncology,
Год журнала:
2023,
Номер
25(6), С. 1047 - 1057
Опубликована: Янв. 4, 2023
Abstract
Background
Lifetime
exposure
to
the
varicella-zoster
virus
(VZV)
has
been
consistently
inversely
associated
with
glioma
risk,
however,
relationship
of
VZV
survival
in
adults
not
investigated.
In
this
study,
we
analyzed
relation
their
antibody
measurements
4
common
herpes
viral
infections,
including
VZV,
measured
post-diagnosis.
Methods
We
IgG
cytomegalovirus
(CMV),
simplex
1/2
(HSV),
and
Epstein-Barr
(EBV)
collected
from
1378
diagnosed
between
1991
2010.
Blood
was
obtained
a
median
3
months
after
surgery.
Associations
patient
levels
overall
were
estimated
using
Cox
models
adjusted
for
age,
sex,
self-reported
race,
surgery
type,
dexamethasone
usage
at
blood
draw,
tumor
grade.
Models
stratified
by
recruitment
series
meta-analyzed
account
time-dependent
treatment
effects.
Results
seropositivity
improved
outcomes
(Hazard
ratio,
HR
=
0.70,
95%
Confidence
Interval
0.54–0.90,
P
.006).
Amongst
cases
who
seropositive
antibodies,
significantly
those
above
25th
percentile
continuous
reactivity
versus
below
(HR
0.76,
0.66–0.88,
.0003).
Antibody
EBV
separately
0.71,
0.53–0.96,
.028).
positivity
2
other
viruses
(CMV,
HSV)
altered
survival.
Conclusions
Low
or
antibodies
are
poorer
glioma.
Differential
immune
response
rather
than
may
explain
these
findings.
Neuro-Oncology,
Год журнала:
2024,
Номер
26(10), С. 1933 - 1944
Опубликована: Июнь 25, 2024
Abstract
Background
Polygenic
risk
scores
(PRS)
aggregate
the
contribution
of
many
variants
to
provide
a
personalized
genetic
susceptibility
profile.
Since
sample
sizes
glioma
genome-wide
association
studies
(GWAS)
remain
modest,
there
is
need
efficiently
capture
using
available
data.
Methods
We
applied
method
based
on
continuous
shrinkage
priors
(PRS-CS)
model
joint
effects
over
1
million
common
disease
and
compared
this
an
approach
(PRS-CT)
that
only
selects
limited
set
independent
reach
significance
(P
<
5
×
10–8).
PRS
models
were
trained
GWAS
stratified
by
histological
(10
346
cases
14
687
controls)
molecular
subtype
(2632
2445
controls),
validated
in
2
cohorts.
Results
PRS-CS
was
generally
more
predictive
than
PRS-CT
with
median
increase
explained
variance
(R2)
24%
(interquartile
range
=
11–30%)
across
subtypes.
Improvements
pronounced
for
glioblastoma
(GBM),
yielding
larger
odds
ratios
(OR)
per
standard
deviation
(SD)
(OR
1.93,
P
2.0
10–54
vs.
OR
1.83,
9.4
10–50)
higher
(R2
2.82%
R2
2.56%).
Individuals
80th
percentile
distribution
had
significantly
GBM
(0.107%)
at
age
60
those
average
(0.046%,
2.4
10–12).
Lifetime
absolute
reached
1.18%
0.76%
IDH
wildtype
tumors
individuals
95th
percentile.
augmented
classification
mutation
status
when
added
demographic
factors
(AUC
0.839
AUC
0.895,
PΔAUC
6.8
10–9).
Conclusions
Genome-wide
has
potential
enhance
detection
high-risk
help
distinguish
between
prognostic
Radiation Oncology,
Год журнала:
2023,
Номер
18(1)
Опубликована: Июль 11, 2023
Abstract
Background
High
HLA-DQA1
expression
is
associated
with
a
better
prognosis
in
many
cancers.
However,
the
association
between
and
of
breast
cancer
noninvasive
assessment
are
still
unclear.
This
study
aimed
to
reveal
investigate
potential
radiomics
predict
cancer.
Methods
In
this
retrospective
study,
transcriptome
sequencing
data,
medical
imaging
clinical
follow-up
data
were
downloaded
from
TCIA
(
https://www.cancerimagingarchive.net/
)
TCGA
https://portal.gdc.cancer.gov/
databases.
The
characteristic
differences
high
group
(HHD
group)
low
explored.
Gene
set
enrichment
analysis,
Kaplan‒Meier
survival
analysis
Cox
regression
performed.
Then,
107
dynamic
contrast-enhanced
magnetic
resonance
features
extracted,
including
size,
shape
texture.
Using
recursive
feature
elimination
gradient
boosting
machine,
model
was
established
expression.
Receiver
operating
(ROC)
curves,
precision-recall
calibration
decision
curves
used
for
evaluation.
Results
HHD
had
outcomes.
differentially
expressed
genes
significantly
enriched
oxidative
phosphorylation
(OXPHOS)
estrogen
response
early
late
signalling
pathways.
radiomic
score
(RS)
output
area
under
ROC
(95%
CI),
accuracy,
sensitivity,
specificity,
positive
predictive
value,
negative
value
0.866
(0.775–0.956),
0.825,
0.939,
0.7,
0.775,
0.913
training
0.780
(0.629–0.931),
0.659,
0.81,
0.5,
0.63,
0.714
validation
set,
respectively,
showing
good
prediction
effect.
Conclusions
Quantitative
as
biomarker
has
predicting
medRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Янв. 11, 2024
ABSTRACT
Background
Polygenic
risk
scores
(PRS)
aggregate
the
contribution
of
many
variants
to
provide
a
personalized
genetic
susceptibility
profile.
Since
sample
sizes
glioma
genome-wide
association
studies
(GWAS)
remain
modest,
there
is
need
find
efficient
ways
capturing
factors
using
available
germline
data.
Methods
We
developed
novel
PRS
(PRS-CS)
that
uses
continuous
shrinkage
priors
model
joint
effects
over
1
million
polymorphisms
on
disease
and
compared
it
an
approach
(PRS-CT)
selects
limited
set
independent
reach
significance
(P<5×10
-8
).
models
were
trained
GWAS
results
stratified
by
histological
(10,346
cases,
14,687
controls)
molecular
subtype
(2,632
2,445
controls),
validated
in
two
cohorts.
Results
PRS-CS
was
consistently
more
predictive
than
PRS-CT
across
subtypes
with
average
increase
explained
variance
(R
2
)
21%.
Improvements
particularly
pronounced
for
glioblastoma
tumors,
yielding
larger
effect
(odds
ratio
(OR)=1.93,
P=2.0×10
-54
vs.
OR=1.83,
P=9.4×10
-50
higher
=2.82%
R
=2.56%).
Individuals
95
th
percentile
distribution
had
3-fold
lifetime
absolute
IDH
mutant
(0.63%)
wildtype
(0.76%)
relative
individuals
PRS.
also
showed
high
classification
accuracy
mutation
status
among
cases
(AUC=0.895).
Conclusions
Our
may
improve
identification
high-risk
help
distinguish
between
prognostic
subtypes,
increasing
potential
clinical
utility
genetics
patient
management.
IMPORTANCE
OF
THE
STUDY
Inherited
variation
one
only
few
known
contribute
gliomagenesis.
leverage
largest
collection
show
correlated
genome
yields
improved
prediction
risk.
improves
according
status.
Additionally,
we
refined
estimates
individual
highest
percentiles
confer
significant
increases
Taken
together,
our
findings
further
evidence
genotyping
be
used
as
biomarker
assessment
non-invasive
management
patients
newly
diagnosed
brain
tumors.
medRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Июль 17, 2024
ABSTRACT
Gliomas
are
highly
fatal
and
heterogeneous
brain
tumors.
Molecular
subtyping
is
critical
for
accurate
diagnosis
prediction
of
patient
outcomes,
with
isocitrate
dehydrogenase
(
IDH
)
mutations
being
the
most
informative
tumor
feature.
currently
relies
on
resected
samples,
highlighting
need
non-invasive,
preoperative
biomarkers.
We
investigated
integration
glioma
polygenic
risk
scores
(PRS)
radiomic
features
mutation
status.
The
elastic
net
classifier
was
trained
a
panel
256
from
MRI
scans,
germline
PRS
demographic
information
159
cases
in
Cancer
Genome
Atlas.
Combining
radiomics
increased
area
under
receiver
operating
characteristic
curve
(AUC)
distinguishing
IDH-wildtype
vs.
IDH-mutant
0.824
to
0.890
(P
ΔAUC
=0.0016).
Incorporating
age
at
sex
further
improved
(AUC=0.920).
Our
multimodal
also
predicted
survival.
Patients
have
tumors
had
significantly
lower
mortality
(hazard
ratio
(HR)=0.27,
95%
CI:
0.14-0.51,
P=6.3×10
−5
),
comparable
prognostic
trajectories
observed
biopsy-confirmed
In
conclusion,
our
study
shows
that
augmenting
imaging-based
classifiers
genetic
profiles
may
help
delineate
molecular
subtypes
improve
timely,
non-invasive
clinical
assessment
patients.
Neuroscience Insights,
Год журнала:
2023,
Номер
18
Опубликована: Янв. 1, 2023
Previous
research
has
documented
elevated
risk
of
brain
cancer
in
patients
with
multiple
sclerosis
(MS).
Separately,
human
leukocyte
antigen
(HLA)
been
implicated
protection
or
susceptibility
for
both
conditions.
The
aim
the
current
study
was
to
assess
a
possible
role
shared
immunogenetic
influence
on
MS
and
cancer.
We
first
identified
an
profile
each
condition
based
covariance
between
population
frequency
127
high-resolution
HLA
alleles
prevalence
14
Continental
Western
European
countries
then
evaluated
correspondence
profiles.
Also,
since
individual
carries
12
(2
×
6
genes),
we
estimated
at
level.
found
that
profiles
were
highly
correlated
overall
(P
<
.001)
across
all
genes
strongest
association
observed
DRB1,
followed
by
DQB1
HLA-A.
These
findings
overlap
are
discussed
light
immune
system
response
viruses
other
foreign
antigens.