Molecular insights to therapeutic in cancer: role of exosomes in tumor microenvironment, metastatic progression and drug resistance
Drug Discovery Today,
Год журнала:
2024,
Номер
29(8), С. 104061 - 104061
Опубликована: Июнь 18, 2024
Язык: Английский
Targeting STAT3 potentiates CDK4/6 inhibitors therapy in head and neck squamous cell carcinoma
Cancer Letters,
Год журнала:
2024,
Номер
593, С. 216956 - 216956
Опубликована: Май 11, 2024
Язык: Английский
Cancer-associated fibroblasts in breast cancer in the single-cell era: Opportunities and challenges
Biochimica et Biophysica Acta (BBA) - Reviews on Cancer,
Год журнала:
2025,
Номер
unknown, С. 189291 - 189291
Опубликована: Фев. 1, 2025
Язык: Английский
MicroRNAs and lysosomal membrane proteins: Critical interactions in tumor progression and therapy
Biochimica et Biophysica Acta (BBA) - Reviews on Cancer,
Год журнала:
2025,
Номер
unknown, С. 189303 - 189303
Опубликована: Март 1, 2025
Язык: Английский
Non-Coding RNAs: Key Regulators of CDK and Wnt/β-catenin signaling in Cancer
Pathology - Research and Practice,
Год журнала:
2024,
Номер
263, С. 155659 - 155659
Опубликована: Окт. 16, 2024
Язык: Английский
TFAP2C-DDR1 Axis Regulates Resistance to CDK4/6 Inhibitor in Breast Cancer
Cancer Letters,
Год журнала:
2024,
Номер
unknown, С. 217356 - 217356
Опубликована: Ноя. 1, 2024
Язык: Английский
Exploring the molecular interface of gene expression dynamics and prostate cancer susceptibility in response to HBCD exposure
Toxicology Research,
Год журнала:
2024,
Номер
14(1)
Опубликована: Дек. 31, 2024
Abstract
Hexabromocyclododecane
(HBCD),
a
brominated
flame
retardant,
is
linked
to
various
health
implications,
including
prostate
cancer.
This
study
explored
the
molecular
mechanisms
and
potential
biomarkers
associated
with
HBCD
exposure
using
data
from
Comparative
Toxicogenomics
Database
(CTD)
The
Cancer
Genome
Atlas
(TCGA).
A
total
of
7,147
differentially
expressed
genes
(DEGs)
46
miRNAs
were
identified,
significant
enrichment
in
cancer-related
pathways
xenobiotic
metabolism.
Protein–protein
interaction
(PPI)
network
construction
analyses
revealed
four
hub
genes:
DNAJC12,
PKMYT1,
RRM2,
SLC12A5.
These
displayed
notable
expression
changes
response
strongly
correlated
survival
outcomes
cancer
patients,
as
demonstrated
by
Cox
regression
ROC
curve
analyses.
Additionally,
miRNA
correlation
indicated
robust
positive
associations,
highlighting
coordinated
regulatory
network.
Experimental
on
HBCD-treated
cell
lines
further
validated
these
findings.
sheds
light
impact
gene
cancer,
emphasizing
identified
prognostic
therapeutic
targets.
By
elucidating
networks
influenced
HBCD,
findings
provide
foundation
for
developing
strategies
mitigate
its
carcinogenic
effects
improve
patients.
Язык: Английский