Faculty Reviews,
Journal Year:
2021,
Volume and Issue:
10
Published: Nov. 10, 2021
Osteoarthritis
(OA)
is
a
chronic
musculoskeletal
disease
with
polygenic
and
heterogeneous
nature.
In
addition,
when
clinical
manifestations
appear,
the
evolution
of
usually
already
irreversible.
Therefore,
efforts
on
OA
research
are
focused
mainly
discovery
therapeutic
targets
reliable
biomarkers
that
permit
early
identification
different
OA-related
parameters
such
as
diagnosis,
prognosis,
or
phenotype
identification.
To
date,
potential
candidate
protein
have
been
associated
aspects
disease;
however,
there
currently
no
gold
standard.
this
sense,
genomic
data
could
act
complementary
diagnosis
prognosis
even
help
to
identify
disease.
review,
we
will
describe
most
recent
advances
in
genetic
over
past
three
years.
Biocell,
Journal Year:
2022,
Volume and Issue:
46(10), P. 2177 - 2193
Published: Jan. 1, 2022
Osteosarcoma
is
one
of
the
most
genomically
complex
cancers
and
as
result,
it
has
been
difficult
to
assign
genomic
aberrations
that
contribute
disease
progression
patient
outcome
consistently
across
samples.
One
potential
source
for
correlating
osteosarcoma
biomarkers
within
non-coding
regions
RNA
are
differentially
expressed.
However,
unsurprising
a
cancer
classification
fraught
with
instability
likely
have
numerous
studies
expression
function
published
on
subject.
This
review
undertakes
formidable
task
evaluating
literature
noncoding
RNAs
in
osteosarcoma.
not
first
this
topic
will
certainly
be
last.
The
organized
an
introduction
into
epigenetic
control
gene
before
reviewing
molecular
long
RNAs,
circular
short
such
microRNAs,
piwi
short-interfering
RNAs.
concludes
how
biology
can
used
therapeutically
treat
cancers,
especially
We
conclude
equally
understanding
differences
coding
proteins;
however,
added
lens
both
sequence,
researchers
begin
identify
patterns
associate
aggressive
Faculty Reviews,
Journal Year:
2021,
Volume and Issue:
10
Published: Nov. 10, 2021
Osteoarthritis
(OA)
is
a
chronic
musculoskeletal
disease
with
polygenic
and
heterogeneous
nature.
In
addition,
when
clinical
manifestations
appear,
the
evolution
of
usually
already
irreversible.
Therefore,
efforts
on
OA
research
are
focused
mainly
discovery
therapeutic
targets
reliable
biomarkers
that
permit
early
identification
different
OA-related
parameters
such
as
diagnosis,
prognosis,
or
phenotype
identification.
To
date,
potential
candidate
protein
have
been
associated
aspects
disease;
however,
there
currently
no
gold
standard.
this
sense,
genomic
data
could
act
complementary
diagnosis
prognosis
even
help
to
identify
disease.
review,
we
will
describe
most
recent
advances
in
genetic
over
past
three
years.
