Fructose-1,6-bisphosphatase 1 in cancer: Dual roles, mechanistic insights, and therapeutic potential – A comprehensive review
International Journal of Biological Macromolecules,
Год журнала:
2025,
Номер
unknown, С. 139273 - 139273
Опубликована: Янв. 1, 2025
Язык: Английский
Exploring Aerobic Energy Metabolism in Breast Cancer: A Mutational Profile of Glycolysis and Oxidative Phosphorylation
International Journal of Molecular Sciences,
Год журнала:
2024,
Номер
25(23), С. 12585 - 12585
Опубликована: Ноя. 23, 2024
Energy
metabolism
is
a
fundamental
aspect
of
the
aggressiveness
and
invasiveness
breast
cancer
(BC),
neoplasm
that
most
affects
women
worldwide.
Nonetheless,
impact
genetic
somatic
mutations
on
glycolysis
oxidative
phosphorylation
(OXPHOS)
genes
in
BC
remains
unclear.
To
fill
these
gaps,
mutational
profiles
205
screened
related
to
OXPHOS
968
individuals
with
from
The
Cancer
Genome
Atlas
(TCGA)
project
were
performed.
We
carried
out
analyses
characterize
profile
BC,
assess
clonality
tumors,
identify
mutation
co-occurrence,
predict
pathogenicity
alterations.
In
total,
408
132
pathways
detected.
Язык: Английский
PMAIP1-mediated glucose metabolism and its impact on the tumor microenvironment in breast cancer: Integration of multi-omics analysis and experimental validation
Translational Oncology,
Год журнала:
2024,
Номер
52, С. 102267 - 102267
Опубликована: Дек. 30, 2024
Язык: Английский
Comprehensive analysis of the metabolomics and transcriptomics uncovers the dysregulated network and potential biomarkers of Triple Negative Breast Cancer
Research Square (Research Square),
Год журнала:
2024,
Номер
unknown
Опубликована: Июнь 7, 2024
Abstract
Triple-negative
breast
cancer
(TNBC)
is
recognized
for
its
aggressive
nature,
lack
of
effective
diagnosis
and
treatment,
generally
poor
prognosis.
The
objective
this
study
was
to
investigate
the
metabolic
changes
in
TNBC
using
metabolomics
approaches
explore
underlying
mechanisms
through
integrated
analysis
with
transcriptomics.
In
study,
serum
untargeted
profiles
were
firstly
explored
between
18
21
healthy
controls
(HC)
by
liquid
chromatography-mass
spectrometry
(LC-MS),
identifying
a
total
22
significantly
altered
metabolites
(DMs).
Subsequently,
receiver
operating
characteristic
revealed
that
7-methylguanine
could
serve
as
potential
biomarker
both
discovery
validation
sets.
Additionally,
transcriptomic
datasets
retrieved
from
GEO
database
identify
differentially
expressed
genes
(DEGs)
normal
tissues.
An
integrative
DMs
DEGs
subsequently
conducted,
uncovering
molecular
TNBC.
Notably,
three
pathways—tyrosine
metabolism,
phenylalanine
glycolysis/gluconeogenesis—were
enriched,
explaining
energy
metabolism
disorders
Within
these
pathways,
two
(4-hydroxyphenylacetaldehyde
oxaloacetic
acid)
six
(MAOA,
ADH1B,
ADH1C,
AOC3,
TAT,
PCK1)
identified
critical
components.
summary,
highlights
biomarkers
potentially
be
utilized
screening
comprehensive
transcriptomics
data
provides
validated
in-depth
understanding
metabolism.
Язык: Английский
PMAIP1-Mediated Glucose Metabolism and its Impact on the Tumor Microenvironment in Breast Cancer: Integration of Multi-Omics Analysis and Experimental Validation
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 1, 2024
Abstract
Background
Glucose
metabolism
in
breast
cancer
has
a
potential
effect
on
tumor
progression
and
is
related
to
the
immune
microenvironment.
Thus,
this
study
aimed
develop
glucose
metabolism–
microenvironment
score
provide
new
perspectives
treatment.
Method
Data
were
acquired
from
Gene
Expression
Omnibus
UCSC
Xena
databases,
glucose-metabolism-related
genes
Set
Enrichment
Analysis
database.
Genes
with
significant
prognostic
value
identified,
infiltration
analysis
was
conducted,
model
constructed
based
results
of
these
analyses.
The
validated
by
vitro
experiments
MCF-7
MCF-10A
cell
lines,
including
expression
validation,
functional
experiments,
bulk
sequencing.
Single-cell
also
conducted
explore
role
specific
clusters
cancer,
Bayes
deconvolution
used
further
investigate
associations
between
phenotypes
cancer.
Results
Four
(PMAIP1,
PGK1,
SIRT7,
SORBS1)
and,
through
analysis,
combined
established.
classify
clinical
subtypes
PMAIP1
identified
as
critical
gene
jointly
confirmed
protective
PMAIP1+
luminal
cluster.
Язык: Английский
Comprehensive analysis of the metabolomics and transcriptomics uncovers the dysregulated network and potential biomarkers of Triple Negative Breast Cancer
Journal of Translational Medicine,
Год журнала:
2024,
Номер
22(1)
Опубликована: Ноя. 11, 2024
Triple-negative
breast
cancer
(TNBC)
is
known
for
its
aggressive
nature,
lack
of
effective
diagnostic
tools
and
treatments,
generally
poor
prognosis.
The
objective
this
study
was
to
investigate
metabolic
changes
in
TNBC
using
metabolomics
approaches
explore
the
underlying
mechanisms
through
integrated
analysis
with
transcriptomics.
In
study,
serum
untargeted
profiles
were
first
examined
between
18
patients
21
healthy
control
(HC)
subjects
liquid
chromatography-mass
spectrometry
(LC-MS),
identifying
a
total
22
significantly
differential
metabolites
(DMs).
Subsequently,
receiver
operating
characteristic
revealed
that
7-methylguanine
could
serve
as
potential
biomarker
both
discovery
validation
sets.
Additionally,
transcriptomic
datasets
retrieved
from
GEO
database
identify
differentially
expressed
genes
(DEGs)
normal
tissues.
An
integrative
DMs
DEGs
conducted,
uncovering
molecular
TNBC.
Notably,
three
pathways—tyrosine
metabolism,
phenylalanine
glycolysis/gluconeogenesis—were
enriched,
providing
insight
into
energy
metabolism
disorders
Within
these
pathways,
two
(4-hydroxyphenylacetaldehyde
oxaloacetic
acid)
six
(MAOA,
ADH1B,
ADH1C,
AOC3,
TAT,
PCK1)
identified
key
components.
summary,
highlights
biomarkers
potentially
be
used
diagnosis
screening
comprehensive
transcriptomics
data
offers
validated
in-depth
understanding
metabolism.
Язык: Английский