Review: Cancer and neurodevelopmental disorders: multi-scale reasoning and computational guide
Frontiers in Cell and Developmental Biology,
Год журнала:
2024,
Номер
12
Опубликована: Июль 2, 2024
The
connection
and
causality
between
cancer
neurodevelopmental
disorders
have
been
puzzling.
How
can
the
same
cellular
pathways,
proteins,
mutations
lead
to
pathologies
with
vastly
different
clinical
presentations?
And
why
do
individuals
disorders,
such
as
autism
schizophrenia,
face
higher
chances
of
emerging
throughout
their
lifetime?
Our
broad
review
emphasizes
multi-scale
aspect
this
type
reasoning.
As
these
examples
demonstrate,
rather
than
focusing
on
a
specific
organ
system
or
disease,
we
aim
at
new
understanding
that
be
gained.
Within
framework,
our
calls
attention
computational
strategies
which
powerful
in
discovering
connections,
causalities,
predicting
outcomes,
are
vital
for
drug
discovery.
Thus,
centering
features,
draw
rapidly
increasing
data
molecular
level,
including
mutations,
isoforms,
three-dimensional
structures,
expression
levels
respective
disease-associated
genes.
Their
integrated
analysis,
together
chromatin
states,
delineate
how,
despite
being
connected,
differ,
how
symptoms.
Here,
seek
uncover
cancer,
pediatric
tumors,
tantalizing
questions
raises.
Язык: Английский
The Role of Proteomics and Genomics in the Development of Colorectal Cancer Diagnostic Tools and Potential New Treatments
ACS Pharmacology & Translational Science,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 10, 2025
Язык: Английский
Exploring the potential of multiomics liquid biopsy testing in the clinical setting of lung cancer
Cytopathology,
Год журнала:
2024,
Номер
35(6), С. 664 - 670
Опубликована: Июнь 1, 2024
The
transformative
role
of
artificial
intelligence
(AI)
and
multiomics
could
enhance
the
diagnostic
prognostic
capabilities
liquid
biopsy
(LB)
for
lung
cancer
(LC).
Despite
advances,
transition
from
tissue
biopsies
to
more
sophisticated,
non-invasive
methods
like
LB
has
been
impeded
by
challenges
such
as
heterogeneity
biomarkers
low
concentration
tumour-related
analytes.
advent
-
enabled
deep
learning
algorithms
offers
a
solution
allowing
simultaneous
analysis
various
analytes
across
multiple
biological
fluids,
presenting
paradigm
shift
in
diagnostics.
Through
multi-marker,
multi-analyte
multi-source
approaches,
this
review
showcases
how
AI
are
identifying
clinically
valuable
biomarker
combinations
that
correlate
with
patients'
health
statuses.
However,
path
towards
clinical
implementation
is
fraught
challenges,
including
study
reproducibility
lack
methodological
standardization,
thus
necessitating
urgent
solutions
solve
these
common
issues.
Язык: Английский
Review: Merging from traditional to potential novel breast cancer biomarkers
Journal of King Saud University - Science,
Год журнала:
2024,
Номер
36(11), С. 103551 - 103551
Опубликована: Ноя. 24, 2024
Язык: Английский
Integrated explainable machine learning and multi-omics analysis for survival prediction in cancer with immunotherapy response
APOPTOSIS,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 4, 2024
Язык: Английский
The Role of Integrated Bioinformatics in Cancer Research: Transforming Genomic Insights into Precision Medicine
Interdisciplinary cancer research,
Год журнала:
2024,
Номер
unknown
Опубликована: Янв. 1, 2024
Язык: Английский
Whole Genome Sequencing Analysis of Model Organisms Elucidates the Association Between Environmental Factors and Human Cancer Development
International Journal of Molecular Sciences,
Год журнала:
2024,
Номер
25(20), С. 11191 - 11191
Опубликована: Окт. 17, 2024
Determining
a
novel
etiology
and
mechanism
of
human
cancer
requires
extraction
characteristic
mutational
signatures
derived
from
chemical
substances.
This
study
explored
the
N-nitroso
bile
acid
conjugates
using
Salmonella
strains.
Exposing
S.
typhimurium
TA1535
to
N-nitroso-glycine/taurine
induced
predominance
C:G
T:A
transitions.
Two
signatures,
B1
B2,
were
extracted.
Signature
is
associated
with
N-nitroso-glycine
conjugates,
while
B2
linked
N-nitroso-taurine
conjugates.
revealed
strong
transcribed
strand
bias
GCC
GCT
contexts,
mutation
pattern
in
YG7108,
which
lacks
O6-methylguanine
DNA
methyltransferases,
matched
that
wild-type
strain
TA1535,
suggesting
O6-methyl-deoxyguanosine
contributes
mutations
relevant
regions.
COSMIC
database-based
similarity
analysis
closely
resembled
SBS42,
occupational
cholangiocarcinoma
caused
by
overexposure
1,2-dichlolopropane
(1,2-DCP)
and/or
dichloromethane
(DCM).
Moreover,
inflammatory
response
pathway
was
1,2-DCP
exposure
cholangiocyte
cell
line,
iNOS
expression
positive
cholangiocarcinomas.
These
results
suggest
triggers
an
biliary
epithelial
cells
upregulating
conjugate
production,
resulting
via
adduct
formation.
Язык: Английский