Cell Reports,
Journal Year:
2018,
Volume and Issue:
25(5), P. 1304 - 1317.e5
Published: Oct. 1, 2018
Hippo
signaling
has
been
recognized
as
a
key
tumor
suppressor
pathway.
Here,
we
perform
comprehensive
molecular
characterization
of
19
core
genes
in
9,125
samples
across
33
cancer
types
using
multidimensional
"omic"
data
from
The
Cancer
Genome
Atlas.
We
identify
somatic
drivers
among
and
the
related
microRNA
(miRNA)
regulators,
functional
genomic
approaches,
experimentally
characterize
YAP
TAZ
mutation
effects
miR-590
miR-200a
regulation
for
TAZ.
pathway
activity
is
best
characterized
by
YAP/TAZ
transcriptional
target
signature
22
genes,
which
shows
robust
prognostic
power
types.
Our
elastic-net
integrated
modeling
further
reveals
cancer-type-specific
regulators
associated
drivers.
results
highlight
importance
squamous
cell
cancers,
frequent
amplification
YAP/TAZ,
high
expression
heterogeneity,
significant
patterns.
This
study
represents
systems-biology
approach
to
characterizing
pathways
post-genomic
era.
Physiological Reviews,
Journal Year:
2014,
Volume and Issue:
94(4), P. 1287 - 1312
Published: Oct. 1, 2014
The
transcriptional
regulators
YAP
and
TAZ
are
the
focus
of
intense
interest
given
their
remarkable
biological
properties
in
development,
tissue
homeostasis
cancer.
activity
is
key
for
growth
whole
organs,
amplification
tissue-specific
progenitor
cells
during
renewal
regeneration,
cell
proliferation.
In
tumors,
YAP/TAZ
can
reprogram
cancer
into
stem
incite
tumor
initiation,
progression
metastasis.
As
such,
appealing
therapeutic
targets
regenerative
medicine.
Just
like
function
offers
a
molecular
entry
point
mysteries
biology,
regulation
by
upstream
cues
equally
captivating.
well
known
being
effectors
Hippo
signaling
cascade,
mouse
mutants
pathway
components
display
phenotypes
organ
overgrowth,
enhanced
content
reduced
cellular
differentiation.
primary
sensors
cell's
physical
nature,
as
defined
structure,
shape
polarity.
activation
also
reflects
“social”
behavior,
including
adhesion
mechanical
signals
that
receives
from
architecture
surrounding
extracellular
matrix
(ECM).
At
same
time,
entertain
relationships
with
morphogenetic
signals,
such
Wnt
factors,
regulated
Rho,
GPCRs
mevalonate
metabolism.
thus
appear
at
centerpiece
nexus
which
take
control
behavior
according
to
own
shape,
spatial
location
factor
context.
Cold Spring Harbor Perspectives in Medicine,
Journal Year:
2015,
Volume and Issue:
5(4), P. a006098 - a006098
Published: April 1, 2015
Richard
Sever1
and
Joan
S.
Brugge2
1Cold
Spring
Harbor
Laboratory,
Cold
Harbor,
New
York
11724
2Harvard
Medical
School,
Department
of
Cell
Biology,
Boston,
Massachusetts
02115
Correspondence:
joan_brugge{at}hms.harvard.edu
Bioinformatics,
Journal Year:
2018,
Volume and Issue:
34(21), P. 3771 - 3772
Published: May 17, 2018
The
availability
of
cancer
genomic
data
makes
it
possible
to
analyze
genes
related
cancer.
Cancer
is
usually
the
result
a
set
and
signal
single
gene
could
be
covered
by
background
noise.
Here,
we
present
web
server
named
Gene
Set
Analysis
(GSCALite)
in
cancers
with
following
functional
modules.
(i)
Differential
expression
tumor
versus
normal,
survival
analysis;
(ii)
Genomic
variations
their
(iii)
associated
pathway
activity;
(iv)
miRNA
regulatory
network
for
genes;
(v)
Drug
sensitivity
(vi)
Normal
tissue
eQTL
genes.
GSCALite
user-friendly
dynamic
analysis
visualization
drug
correlation,
which
will
broad
utilities
researchers.GSCALite
available
on
http://bioinfo.life.hust.edu.cn/web/GSCALite/.Supplementary
are
at
Bioinformatics
online.