Current trends and future prospects of drug repositioning in gastrointestinal oncology
Frontiers in Pharmacology,
Journal Year:
2024,
Volume and Issue:
14
Published: Jan. 4, 2024
Gastrointestinal
(GI)
cancers
comprise
a
significant
number
of
cancer
cases
worldwide
and
contribute
to
high
percentage
cancer-related
deaths.
To
improve
survival
rates
GI
patients,
it
is
important
find
implement
more
effective
therapeutic
strategies
with
better
prognoses
fewer
side
effects.
The
development
new
drugs
can
be
lengthy
expensive
process,
often
involving
clinical
trials
that
may
fail
in
the
early
stages.
One
strategy
address
these
challenges
drug
repurposing
(DR).
Drug
developmental
involves
using
existing
approved
for
other
diseases
leveraging
their
safety
pharmacological
data
explore
potential
use
treating
different
diseases.
In
this
paper,
we
outline
associated
DR
as
promising
alternative
approach.
We
have
presented
an
extensive
review
methodologies,
research
efforts
examples
repurposed
within
various
types,
such
colorectal,
pancreatic
liver
cancers.
Our
aim
provide
comprehensive
overview
employing
approach
inform
future
endeavors
field.
Language: Английский
The Effects of Nebivolol-Gefitinib-Loratadine Against Lung Cancer Cell Lines
JOSÉ LUIS MARTÍNEZ-LIRA,
No information about this author
Elisabeth Hernández-Gallegos,
No information about this author
María de Guadalupe Chávez-López
No information about this author
et al.
In Vivo,
Journal Year:
2024,
Volume and Issue:
38(6), P. 2688 - 2695
Published: Oct. 29, 2024
Background/Aim:
Non-small-cell
lung
cancer
(NSCLC)
is
the
most
frequently
diagnosed
malignancy
and
first
cause
of
cancer-related
death.
Thus,
finding
alternative
therapeutic
options
crucial.
Drug
repurposing
offers
in
a
simplified
affordable
manner,
especially
to
patients
developing
countries.
Several
drugs
including
antihistamines
beta-adrenergic
receptor
blockers
(beta-blockers)
display
antiproliferative
properties
on
cells.
Interestingly,
NSCLC
who
had
used
either
or
beta-blockers
showed
improved
response
chemotherapy
reduced
mortality
comparison
non-users
any
these
drugs.
However,
combination
therapy
gaining
substantial
interest
many
cancers
non-EGFR
mutated
NSCLC.
Here,
we
investigated
antineoplastic
effect
antihistamine
loratadine,
beta-blocker
nebivolol,
tyrosine-kinase
inhibitor
gefitinib
cell
lines.
Materials
Methods:
A-549
NCI-H1975
lines
were
used.
The
gefitinib,
loratadine
metabolic
activity
was
studied
using
MTT
assay.
inhibitory
concentrations
(IC20
IC50)
calculated
drug-combination
experiments.
Apoptosis
flow
cytometry;
survival
colony
formation
Results:
nebivolol-loratadine-gefitinib
produced
significant
synergistic
inhibiting
formation,
as
well
promoting
apoptosis
both
Noteworthy,
line
carrying
EGFR
mutation
(NCI-H1975)
very
similar
that
does
not
exhibit
such
(A-549
cells).
Conclusion:
nebivolol-gefitinib-loratadine
may
be
promising
for
treatment.
Language: Английский
STADS: Spatial Transcriptomics to Aid Drug-reposition Recommendation
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM),
Journal Year:
2023,
Volume and Issue:
unknown, P. 2737 - 2740
Published: Dec. 5, 2023
Drug
repurposing
is
a
promising
strategy
to
find
new
usage
for
existing
drugs
outside
of
their
original
purpose.
We
have
recently
developed
computational
framework
ASGARD
that
employs
single
cell
RNA-sequencing
(scRNA-seq)
repurpose
drugs.
However,
scRNA-seq
lacks
the
spatial
information
tissue,
an
important
determinant
heterogeneity
within
tissue
micro-environment.
In
this
paper,
we
propose
Spatial
Transcriptomics
Aid
Drug-reposition
Recommendation
(STADS)
framework,
drug
(ST)
datasets
with
gene
expression
in
situ.
STADS
reduces
ST
by
spatially-aware
embedding,
integrates
multiple
healthy
and
diseased
samples,
identifies
matched
domains
between
disease
controls,
then
repurposes
novel
score
considers
differentially
expressed
genes
control
samples
among
all
domains.
apply
dataset
patients
Hepatocellular
Carcinoma
demonstrate
its
superior
performance
ASGARD.
personalized
prediction
method
using
data.
Language: Английский