bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2017,
Volume and Issue:
unknown
Published: Sept. 20, 2017
SUMMARY
The
advance
of
personalized
cancer
medicine
requires
the
accurate
identification
mutations
driving
each
patient’s
tumor.
However,
to
date,
we
have
only
been
able
obtain
partial
insights
into
contribution
genomic
events
tumor
development.
Here,
design
a
comprehensive
approach
identify
driver
in
and
whole-genome
panorama
across
more
than
2,500
tumors
from
37
types
cancer.
This
includes
coding
non-coding
point
mutations,
copy
number
alterations
other
rearrangements
somatic
origin,
potentially
predisposing
germline
variants.
We
demonstrate
that
are
at
root
virtually
all
tumors,
with
carrying
on
average
4.6
events.
Most
individual
harbor
unique
combination
drivers,
uncover
most
frequent
co-occurring
Half
genes
affected
by
several
mutations.
In
summary,
described
here
provides
answers
fundamental
questions
genomics
bridges
gap
between
medicine.
Cancer Discovery,
Journal Year:
2022,
Volume and Issue:
12(12), P. 2930 - 2953
Published: Sept. 15, 2022
Systematically
investigating
the
scores
of
genes
mutated
in
cancer
and
discerning
disease
drivers
from
inconsequential
bystanders
is
a
prerequisite
for
precision
medicine
but
remains
challenging.
Here,
we
developed
somatic
CRISPR/Cas9
mutagenesis
screen
to
study
215
recurrent
"long-tail"
breast
genes,
which
revealed
epigenetic
regulation
as
major
tumor-suppressive
mechanism.
We
report
that
components
BAP1
COMPASS-like
complexes,
including
KMT2C/D,
KDM6A,
BAP1,
ASXL1/2
("EpiDrivers"),
cooperate
with
PIK3CAH1047R
transform
mouse
human
epithelial
cells.
Mechanistically,
find
activation
concomitant
EpiDriver
loss
triggered
an
alveolar-like
lineage
conversion
basal
mammary
cells
accelerated
formation
luminal-like
tumors,
suggesting
origin
luminal
tumors.
mutations
are
found
∼39%
cancers,
∼50%
ductal
carcinoma
situ
express
casein,
infidelity
alveogenic
mimicry
may
significantly
contribute
early
steps
etiology.
Infrequently
comprise
most
mutational
burden
tumors
poorly
understood.
In
vivo
CRISPR
screening
identified
functional
tumor
suppressors
converged
on
regulation.
Loss
regulators
tumorigenesis
aberrant
expression
alveogenesis
potential
events
tumorigenesis.
This
article
highlighted
Issue
feature,
p.
2711.
PLoS Computational Biology,
Journal Year:
2023,
Volume and Issue:
19(7), P. e1011289 - e1011289
Published: July 10, 2023
Stochastic
models
of
sequential
mutation
acquisition
are
widely
used
to
quantify
cancer
and
bacterial
evolution.
Across
manifold
scenarios,
recurrent
research
questions
are:
how
many
cells
there
with
n
alterations,
long
will
it
take
for
these
appear.
For
exponentially
growing
populations,
have
been
tackled
only
in
special
cases
so
far.
Here,
within
a
multitype
branching
process
framework,
we
consider
general
mutational
path
where
mutations
may
be
advantageous,
neutral
or
deleterious.
In
the
biologically
relevant
limiting
regimes
large
times
small
rates,
derive
probability
distributions
number,
arrival
time,
mutations.
Surprisingly,
two
quantities
respectively
follow
Mittag-Leffler
logistic
regardless
mutations’
selective
effects.
Our
results
provide
rapid
method
assess
altering
fundamental
division,
death,
rates
impacts
mutant
cells.
We
highlight
consequences
rate
inference
fluctuation
assays.
Biological reviews/Biological reviews of the Cambridge Philosophical Society,
Journal Year:
2023,
Volume and Issue:
98(5), P. 1668 - 1686
Published: May 8, 2023
Cancers
rely
on
multiple,
heterogeneous
processes
at
different
scales,
pertaining
to
many
biomedical
fields.
Therefore,
understanding
cancer
is
necessarily
an
interdisciplinary
task
that
requires
placing
specialised
experimental
and
clinical
research
into
a
broader
conceptual,
theoretical,
methodological
framework.
Without
such
framework,
oncology
will
collect
piecemeal
results,
with
scant
dialogue
between
the
scientific
communities
studying
cancer.
We
argue
one
important
way
forward
in
service
of
more
successful
through
greater
integration
applied
sciences
(experimental
clinical)
conceptual
theoretical
approaches,
informed
by
philosophical
methods.
By
illustration,
we
explore
six
central
themes:
(i)
role
mutations
cancer;
(ii)
clonal
evolution
cells;
(iii)
relationship
multicellularity;
(iv)
tumour
microenvironment;
(v)
immune
system;
(vi)
stem
cells.
In
each
case,
examine
open
questions
literature
methodology
show
benefit
synergy
for
medical
Nature Communications,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: Feb. 28, 2024
Abstract
Exploring
the
molecular
basis
of
disease
severity
in
rare
scenarios
is
a
challenging
task
provided
limitations
on
data
availability.
Causative
genes
have
been
described
for
Congenital
Myasthenic
Syndromes
(CMS),
group
diverse
minority
neuromuscular
junction
(NMJ)
disorders;
yet
explanation
phenotypic
differences
remains
unclear.
Here,
we
present
workflow
to
explore
functional
relationships
between
CMS
causal
and
altered
from
each
patient,
based
multilayer
network
community
detection
analysis
complementary
biomedical
information
by
relevant
sources,
namely
protein-protein
interactions,
pathways
metabolomics.
Our
results
show
that
can
be
ascribed
personalized
impairment
extracellular
matrix
components
postsynaptic
modulators
acetylcholine
receptor
(AChR)
clustering.
This
work
showcases
how
coupling
with
-omics
provides
explanations
varying
diseases;
paving
way
sorting
out
similar
cases
other
diseases.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2017,
Volume and Issue:
unknown
Published: Sept. 20, 2017
SUMMARY
The
advance
of
personalized
cancer
medicine
requires
the
accurate
identification
mutations
driving
each
patient’s
tumor.
However,
to
date,
we
have
only
been
able
obtain
partial
insights
into
contribution
genomic
events
tumor
development.
Here,
design
a
comprehensive
approach
identify
driver
in
and
whole-genome
panorama
across
more
than
2,500
tumors
from
37
types
cancer.
This
includes
coding
non-coding
point
mutations,
copy
number
alterations
other
rearrangements
somatic
origin,
potentially
predisposing
germline
variants.
We
demonstrate
that
are
at
root
virtually
all
tumors,
with
carrying
on
average
4.6
events.
Most
individual
harbor
unique
combination
drivers,
uncover
most
frequent
co-occurring
Half
genes
affected
by
several
mutations.
In
summary,
described
here
provides
answers
fundamental
questions
genomics
bridges
gap
between
medicine.