Frontiers in Oncology,
Journal Year:
2018,
Volume and Issue:
8
Published: Nov. 2, 2018
Resistance
to
therapeutic
agents,
either
intrinsic
or
acquired,
is
currently
a
major
problem
in
the
treatment
of
cancers
and
occurs
virtually
every
type
anti-cancer
therapy.
Therefore,
understanding
how
resistance
can
be
prevented,
targeted
predicted
becomes
increasingly
important
improve
cancer
In
last
decade,
it
has
become
apparent
that
alterations
cellular
metabolism
are
hallmark
cells
rewired
essential
for
rapid
tumor
growth
proliferation.
Recently,
metabolic
have
been
shown
play
role
sensitivity
widely-used
first-line
chemotherapeutics.
This
suggests
pathways
mediators
toward
anticancer
agents.
this
review,
we
highlight
associated
with
different
agents
discuss
may
exploited
overcome
drug
classical
chemotherapy.
Cell,
Journal Year:
2018,
Volume and Issue:
173(2), P. 338 - 354.e15
Published: April 1, 2018
Cancer
progression
involves
the
gradual
loss
of
a
differentiated
phenotype
and
acquisition
progenitor
stem-cell-like
features.
Here,
we
provide
novel
stemness
indices
for
assessing
degree
oncogenic
dedifferentiation.
We
used
an
innovative
one-class
logistic
regression
(OCLR)
machine-learning
algorithm
to
extract
transcriptomic
epigenetic
feature
sets
derived
from
non-transformed
pluripotent
stem
cells
their
progeny.
Using
OCLR,
were
able
identify
previously
undiscovered
biological
mechanisms
associated
with
dedifferentiated
state.
Analyses
tumor
microenvironment
revealed
unanticipated
correlation
cancer
immune
checkpoint
expression
infiltrating
cells.
found
that
was
generally
most
prominent
in
metastatic
tumors.
Application
our
single-cell
data
patterns
intra-tumor
molecular
heterogeneity.
Finally,
allowed
identification
targets
possible
targeted
therapies
aimed
at
differentiation.
Frontiers in Oncology,
Journal Year:
2019,
Volume and Issue:
9
Published: Nov. 1, 2019
Tumor
cells
must
generate
sufficient
ATP
and
biosynthetic
precursors
in
order
to
maintain
cell
proliferation
requirements.
Otto
Warburg
showed
that
tumor
uptake
high
amounts
of
glucose
producing
large
volumes
lactate
even
the
presence
oxygen,
this
process
is
known
as
"Warburg
effect
or
aerobic
glycolysis".
As
a
consequence
such
there
an
acidification
extracellular
pH
microenvironment,
ranging
between
6.0-6.5.
This
acidosis
favors
processes
metastasis,
angiogenesis
more
importantly,
immunosuppression,
which
has
been
associated
worse
clinical
prognosis.
Thus,
should
be
thought
important
oncometabolite
metabolic
reprogramming
cancer.
In
review,
we
summarized
role
regulating
microenvironment
cancer
discuss
its
relevance
up-regulation
enzymes
dehydrogenase
(LDH)
monocarboxilate
transporters
(MCTs)
tumors.
The
goal
review
expose
not
only
secondary
product
cellular
waste
cells,
but
also
key
molecule
involved
carcinogenesis
well
immune
evasion.
Finally,
possible
targeting
production
treatment
discussed.
CA A Cancer Journal for Clinicians,
Journal Year:
2021,
Volume and Issue:
71(4), P. 333 - 358
Published: May 13, 2021
Abstract
Cancer
has
myriad
effects
on
metabolism
that
include
both
rewiring
of
intracellular
to
enable
cancer
cells
proliferate
inappropriately
and
adapt
the
tumor
microenvironment,
changes
in
normal
tissue
metabolism.
With
recognition
fluorodeoxyglucose‐positron
emission
tomography
imaging
is
an
important
tool
for
management
many
cancers,
other
metabolites
biological
samples
have
been
spotlight
diagnosis,
monitoring,
therapy.
Metabolomics
global
analysis
small
molecule
like
‐omics
technologies
can
provide
critical
information
about
state
are
otherwise
not
apparent.
Here,
authors
review
how
therapies
interact
with
at
cellular
systemic
levels.
An
overview
metabolomics
provided
a
focus
currently
available
they
applied
clinical
translational
research
setting.
The
also
discuss
could
be
further
leveraged
future
improve
patients
cancer.
Cancer
cell
metabolism
is
heavily
influenced
by
microenvironmental
factors,
including
nutrient
availability.
Therefore,
knowledge
of
levels
essential
to
understand
tumor
metabolism.
To
measure
the
extracellular
available
tumors,
we
utilized
quantitative
metabolomics
methods
absolute
concentrations
>118
metabolites
in
plasma
and
interstitial
fluid,
fluid
that
perfuses
tumors.
Comparison
revealed
nutrients
tumors
differ
from
those
present
circulation.
Further,
comparing
between
autochthonous
transplant
models
murine
pancreatic
lung
adenocarcinoma,
found
type,
anatomical
location
animal
diet
affect
local
These
data
provide
a
comprehensive
characterization
microenvironment
widely
used
cancer
identify
factors
influence
metabolite
Nature Communications,
Journal Year:
2019,
Volume and Issue:
10(1)
Published: Aug. 21, 2019
The
tumor
milieu
consists
of
numerous
cell
types
each
existing
in
a
different
environment.
However,
characterization
metabolic
heterogeneity
at
single-cell
resolution
is
not
established.
Here,
we
develop
computational
pipeline
to
study
programs
single
cells.
In
two
representative
human
cancers,
melanoma
and
head
neck,
apply
this
algorithm
define
the
intratumor
landscape.
We
report
an
overall
discordance
between
analyses
cells
those
bulk
tumors
with
higher
activity
malignant
than
previously
appreciated.
Variation
mitochondrial
found
be
major
contributor
heterogeneity.
Surprisingly,
expression
both
glycolytic
strongly
correlates
hypoxia
all
types.
Immune
stromal
could
also
distinguished
by
their
features.
Taken
together
analysis
establishes
framework
for
characterizing
metabolism
using
data
defines
principles
microenvironment.
