TY  - GEN
Y1  - 2018///
ID  - heidok23724
UR  - https://archiv.ub.uni-heidelberg.de/volltextserver/23724/
AV  - public
A1  - Huichalaf Carbonell, Mariela
TI  - Metabolic Profiling of Cancer Cells and Correlations
between Metabolism, Gene Expression and Drug Sensitivity
N2  - Detailed
metabolic
characterization
of
cancer
cells
provides
an
important
cellular
footprint
in
addition
to
well-­?studied
genomic
features
and
could
play
an
important
role
for
understanding
sensitivity
of
cancer
cells
to
drug
treatment.
Thus,
detailed
understanding
of
metabolism
and
gene
expression
profiles
of
cancer
cells
could
be
an
important
guideline
supporting
the
steps
of
drug
selection
and
a
determining
factor
for
designing
treatment
strategies
with
available
anticancer
drugs.
The
aim
of
the
presented
study
was
to
analyze
the
metabolic
activities
and
cell-­?cell
interaction
and
cell-­?matrix
adhesion
properties
of
a
large
number
of
cancer
cell
lines
and
correlate
these
cellular
characteristics
with
drug
sensitivity
and
compare
this
relation
to
established
knowledge
using
gene
expression
and
drug
sensitivity
prediction.
For
this,
correlations
among
these
different
set
of
analytical
information
were
analyzed
to
obtain
cancer
cell
profiles
linking
metabolism,
gene
expression
and
drug
IC50
values,
by
calculating
Pearson
correlation
coefficients.
The
results
obtained
clearly
corroborate
well-­?known
relations
but
also
provide
important
novel
findings
underlying
the
importance
of
cancer
cell
metabolism
in
drug
sensitivity.
As
expected,
the
proliferation
rate
correlates
well
with
the
glycolytic
activity
of
cancer
cells
(r
=
0.71**)
as
well
as
with
HOXA7
expression
(r
=
0.95***).
The
metabolism-­?related
candidate
genes
are
PGLS,
COX5B,
RHBDL2,
IFI16,
GCN1L1,
INPP5B,
and
LGALS8.
Furthermore,
the
calculated
Pearson
product-­?moment
correlation
coefficients
show
that
the
sensitivity
of
seven
known
drugs
correlate
with
some
of
the
analyzed
cellular
features
of
cancer
cells.
These
compounds
are
elesclomol,
Nutlin
3a,
PF
4708671,
EHT
1864,
IPA3,
RDEA119,
and
methotrexate.
The
detailed
metabolic
and
electrochemical
profiling
of
cancer
cells
carried
out
for
this
study
reveals
new
relationships
between
genes
expression,
drug
sensitivity/tolerance,
and
basic
metabolic
features
of
cancer
cells.
New
insights
are
provided
into
cancer
metabolism,
genomic
regulation,
and
a
potential
application
to
designing
new
chemotherapeutic
strategies.
ER  -