The Potential of Peptide-Based Inhibitors in Disrupting Protein–Protein Interactions for Targeted Cancer Therapy
International Journal of Molecular Sciences,
Journal Year:
2025,
Volume and Issue:
26(7), P. 3117 - 3117
Published: March 28, 2025
Protein-protein
interactions
(PPIs)
form
an
intricate
cellular
network
known
as
the
interactome,
which
is
essential
for
various
processes,
such
gene
regulation,
signal
transduction,
and
metabolic
pathways.
The
dysregulation
of
this
has
been
closely
linked
to
disease
states.
In
cancer,
these
aberrant
PPIs,
termed
oncogenic
PPIs
(OncoPPIs),
are
involved
in
tumour
formation
proliferation.
Therefore,
inhibition
OncoPPIs
becomes
a
strategy
targeted
cancer
therapy.
Small
molecule
inhibitors
have
dominant
PPI
owing
their
small
size
ability
cross
cell
membranes.
However,
peptide-based
emerged
compelling
alternatives,
offering
distinct
advantages
over
inhibitors.
Peptides,
with
larger
flexible
backbones,
can
effectively
engage
broad
interfaces
PPIs.
Their
high
specificity,
lower
toxicity,
ease
modification
make
them
promising
candidates
Over
past
decade,
significant
advancements
made
developing
This
review
discusses
critical
aspects
targeting
emphasizes
significance
therapy,
explores
using
therapeutic
agents.
It
also
highlights
recent
progress
peptide
design
aimed
at
overcoming
limitations
therapeutics,
comprehensive
overview
current
landscape
potential
treatment.
Language: Английский
Circulating Biomarkers of Thyroid Cancer: An Appraisal
Journal of Clinical Medicine,
Journal Year:
2025,
Volume and Issue:
14(5), P. 1582 - 1582
Published: Feb. 26, 2025
Thyroid
cancer
is
the
most
prevalent
endocrine
cancer.
The
prognosis
depends
on
type
and
stage
at
diagnosis.
treatments
involve
surgery,
possibly
followed
by
additional
therapeutic
options
such
as
hormone
therapy,
radiation
targeted
therapy
chemotherapy.
Besides
well-known
thyroid
tumor
biomarkers,
new
circulating
biomarkers
are
now
emerging.
Advances
in
genomic,
transcriptomic
proteomic
technologies
have
allowed
development
of
novel
biomarkers.
This
review
explores
current
literature
data
to
critically
analyze
benefits
limitations
routinely
measured
for
diagnosis
monitoring
also
sheds
light
focusing
challenges
their
use
clinical
management
cancer,
underlining
need
identification
a
generation
Language: Английский
Identification of thyroid cancer biomarkers using WGCNA and machine learning
Gaofeng Hu,
No information about this author
Wenyuan Niu,
No information about this author
Jiaming Ge
No information about this author
et al.
European journal of medical research,
Journal Year:
2025,
Volume and Issue:
30(1)
Published: April 5, 2025
Language: Английский
Machine Learning for Thyroid Cancer Detection, Presence of Metastasis, and Recurrence Predictions—A Scoping Review
Cancers,
Journal Year:
2025,
Volume and Issue:
17(8), P. 1308 - 1308
Published: April 12, 2025
Thyroid
Cancer
(TC)
is
one
of
the
most
prevalent
endocrine
malignancies,
with
early
detection
being
critical
for
patient
management.
The
motivation
integrating
Machine
Learning
(ML)
in
thyroid
cancer
research
stems
from
limitations
conventional
diagnostic
and
monitoring
approaches,
as
ML
offers
transformative
potential
reducing
human
errors
improving
prediction
outcomes
accuracy,
risk
stratification,
treatment
options,
recurrence
prognosis,
quality
life.
This
scoping
review
maps
existing
literature
on
applications
TC,
particularly
those
leveraging
clinical
data,
Electronic
Medical
Records
(EMRs),
synthesized
findings.
study
analyzed
1231
papers,
evaluated
203
full-text
articles,
selected
21
detailed
three
themes:
(1)
malignancy
nodule
classification;
(2)
other
metastases
derived
TC
prediction;
(3)
survival
prediction.
work
examined
case
studies’
characteristics
objectives
identified
key
trends
challenges
ML-driven
research.
Finally,
this
addressed
related
highlighted
directions
to
enhance
domain
while
emphasizing
its
capability
transform
care
into
advanced
precision
medicine.
Language: Английский
Identification of oxidative stress-related subgroups and signature genes for the prediction of prognosis and immune microenvironment in thyroid cancer
Zhiquan Qiu,
No information about this author
Jing Li,
No information about this author
Mei Tian
No information about this author
et al.
Molecular Genetics and Genomics,
Journal Year:
2025,
Volume and Issue:
300(1)
Published: April 30, 2025
Language: Английский
Advances in the Diagnosis and Treatment of Follicular Thyroid Carcinoma: A Comprehensive Review
Vasundara Gopalan,
No information about this author
Swati G Deshpande,
No information about this author
Anup A Zade
No information about this author
et al.
Cureus,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 5, 2024
Follicular
thyroid
carcinoma
(FTC)
is
the
second
most
common
type
of
cancer,
presenting
unique
diagnostic
and
therapeutic
challenges.
This
review
provides
a
comprehensive
analysis
recent
advancements
in
diagnosis
treatment
FTC,
emphasizing
significance
these
developments
improving
patient
outcomes.
We
discuss
evolution
techniques,
including
imaging
modalities,
fine
needle
aspiration
biopsy,
molecular
diagnostics,
which
have
enhanced
accuracy
FTC
detection
differentiation
from
benign
conditions.
The
also
evaluates
current
strategies,
surgical
interventions,
radioactive
iodine
therapy,
targeted
therapies,
examining
their
effectiveness
impact
on
prognosis.
Additionally,
we
address
ongoing
challenges
management,
such
as
variability
guidelines
disparities
care.
Finally,
explores
emerging
therapies
future
research
directions,
highlighting
innovations
that
may
further
optimize
management.
By
synthesizing
knowledge
identifying
opportunities,
this
aims
to
contribute
refining
approaches
for
FTC.
Language: Английский
The Impact of NF-κB on Inflammatory and Angiogenic Processes in Age-Related Macular Degeneration
Experimental Eye Research,
Journal Year:
2024,
Volume and Issue:
248, P. 110111 - 110111
Published: Sept. 24, 2024
Language: Английский
Editorial: Molecular targets in oncological and hematological disease management: innovations in precision medicine
Adrian Bogdan Țigu,
No information about this author
Gregory Wiedman,
No information about this author
Stefan Eugen Szedlacsek
No information about this author
et al.
Frontiers in Pharmacology,
Journal Year:
2024,
Volume and Issue:
15
Published: Sept. 20, 2024
Language: Английский
DLK1 Is Associated with Stemness Phenotype in Medullary Thyroid Carcinoma Cell Lines
International Journal of Molecular Sciences,
Journal Year:
2024,
Volume and Issue:
25(22), P. 11924 - 11924
Published: Nov. 6, 2024
Medullary
thyroid
carcinoma
(MTC)
is
a
rare
and
aggressive
tumor,
often
requiring
systemic
treatment
in
advanced
or
metastatic
stages,
where
drug
resistance
presents
significant
challenge.
Given
the
role
of
cancer
stem
cells
(CSCs)
recurrence
resistance,
we
aimed
to
identify
CSC
subpopulations
within
two
MTC
cell
lines
harboring
pathogenic
variants
most
common
MEN2-associated
codons.
We
analyzed
15
stemness-associated
markers,
along
with
well-established
markers
(CD133,
CD44,
ALDH1),
novel
candidate
(DLK1),
multidrug
proteins
(MRP1
MRP3).
The
ability
efflux
fluorescent
dye
Hoechst
3342
form
spheroids,
representing
behavior,
was
also
assessed.
MZ-CRC-1
(p.M918T)
displayed
higher
expressions
canonical
DLK1,
MRP
than
TT
(p.C634W).
formed
more
spheroids
showed
less
accumulation
(p
<
0.0001).
Finally,
observed
that
DLK1+
(those
expressing
DLK1)
both
exhibited
significantly
levels
stemness
compared
DLK1−
lacking
DLK1
expression).
These
findings
underscore
DLK1’s
enhancing
phenotype,
providing
valuable
insights
into
progression
suggesting
potential
therapeutic
implications.
Language: Английский