Rare Diseases Symptoms Automatic Extraction
Home
A random Abstract
Our Project
Our Team
ZNF695 methylation predicts a response of esophageal squamous cell carcinoma to definitive chemoradiotherapy.
[esophageal squamous cell carcinoma]
Definitive
chemoradiotherapy
(
dCRT
)
is
one
of
the
standard
treatments
for
esophageal
squamous
cell
carcinoma
.
Patients
with
a
response
to
dCRT
have
a
better
prognosis
than
those
resistant
to
dCRT
while
survival
benefits
for
patients
with
residual
tumors
are
limited
.
Nevertheless
,
few
molecular
markers
to
predict
the
response
to
dCRT
are
currently
available
.
Here
,
we
aimed
to
establish
a
DNA
methylation
marker
to
predict
the
response
to
dCRT
.
A
total
of
104
patients
were
divided
into
screening
(
n
Â
=
Â
43
)
and
validation
(
n
Â
=
Â
61
)
sets
.
A
genome-
wide
DNA
methylation
analysis
was
performed
using
an
Infinium
HumanMethylation
450
BeadChip
array
.
Methylation
levels
were
measured
by
quantitative
methylation-
specific
PCR
and
normalized
by
the
fraction
of
cancer
cells
in
a
sample
.
The
genome-
wide
methylation
analysis
of
seven
responders
and
eight
non-responders
identified
18
genomic
regions
specifically
(
un
)
methylated
in
the
responders
.
Among
these
,
methylation
of
the
promoter
CpG
island
of
ZNF
695
was
significantly
associated
with
the
response
to
dCRT
in
the
screening
set
(
P
Â
=
Â
0
.
004
)
,
and
a
cutoff
value
was
determined
.
In
the
validation
set
,
the
association
was
successfully
validated
(
P
Â
=
Â
0
.
021
)
,
and
a
high
specificity
(
90
Â
%
)
for
the
prediction
of
responders
was
obtained
using
the
prefixed
cutoff
value
.
In
addition
,
a
multivariate
analysis
showed
that
ZNF
695
methylation
was
an
independent
predictive
factor
for
the
response
to
dCRT
(
OR
7
.
55
,
95
Â
%
CI
2
.
12
-
26
.
9
,
P
Â
=
Â
0
.
002
)
.
ZNF
695
methylation
was
significantly
associated
with
the
response
to
dCRT
and
is
a
promising
predictive
marker
for
the
response
to
dCRT
.
Diseases
Validation
Diseases presenting
"wide methylation analysis"
symptom
esophageal squamous cell carcinoma
You can validate or delete this automatically detected symptom
Validate the Symptom
Delete the Symptom