Knowledge of the genetics of human pain gained over the last decade from next-generation sequencing
Pharmacological Research,
Journal Year:
2025,
Volume and Issue:
unknown, P. 107667 - 107667
Published: Feb. 1, 2025
Language: Английский
Molecular characterization of colorectal cancer (CRC) using next generation sequencing (NGS) in bridging the gap between research and clinical practice: from biomarker discovery to clinical implementation
Discover Oncology,
Journal Year:
2025,
Volume and Issue:
16(1)
Published: March 6, 2025
Colorectal
cancer
(CRC)
is
the
second
most
common
in
men
and
third
females,
a
heterogeneous
disease
involving
multistep
mechanisms
that
represents
10%
of
all
cancers
globally.
This
study
investigates
gene
mutation
profiling
CRC
using
Next-Generation
sequencing
machine.
Formalin-fixed
paraffin-embedded
tissues
30
patients
were
retrieved
reviewed.
DNA
was
isolated
from
selected
tissues.
Desirable
quality
check
Qubit
Nanoquant
machine
done,
desirable
libraries
prepared
loaded
into
sequencer
for
sequencing.
Using
Illumina
BaseSpace
Variant
interpreter,
generated
FastQ
data
treated
annotation,
alignment,
mapping
with
reference
genome.
Sequencing-runs
Phred-score
≥
as
runs.
Finally,
variants
validated
on
NCBI-dsSNP
Ensembl
databases
clinical
consequence
interpretations.
Overall,
patient
distribution
consists
12(40%)
females
18
(60%)
males
mean
age
(53.2
+
5.3).
TNM
stage-3:
53.3%
(15/30)
least
Stage-4:
20%(6/30)
respectively.
73.3%:
(22/30)
completed
sequencing,
552
mutations
29
genes
12
chromosomes
detected.
The
upregulated
are
KIT:68(12.3%),
FGFR4:61(11.1%),
EGFR:60(10.9%),
ALK:53(9.6%),
DCUN1D1:41(7.4%),
PDGFR:40(7.2%),
KRAS:33(6.0%),
CDK4:27(4.9%),
FGFR3:26(4.7%),
MTOR:14(2.6),
while
NRAS,
CDK6,
PIK3CA,
RET
each
has
13(2.4%)
apiece.
Chromosomes
4:134/55(24.2%),
chr7:84/552(15.2%),
chr12:71/552(12.9%),
chr5:64/552(11.6%),
chr2:61/552(11.1%),
chr3:54/552(9.8%),
chr1:43/552(7.8%)
involved
chromosomes.
Nine
(APC,
ALK,
KRAS,
IDH1,
FGFR1,
ERBB2,
ESR1)
identified
pathogenic-causing
CRC.
first
NGS-based
molecular
FFPE-CRC
hospital-USM
showed
nine
crucial
pathogenic
variants.
Language: Английский
Next-generation sequencing guides diagnosis and treatment in a complex presentation of ALK-positive anaplastic large-cell lymphoma: a case report
Frontiers in Oncology,
Journal Year:
2025,
Volume and Issue:
15
Published: March 14, 2025
Next-generation
sequencing
(NGS)
technology
is
being
increasingly
utilized
in
the
management
of
cancer
patients
due
to
its
diagnostic,
therapeutic,
and
prognostic
value,
potential
inform
use
targeted
therapy.
We
report
a
case
wherein
performing
NGS
testing
proved
be
critical
component
diagnosis
therapeutic
decision
making.
The
was
patient
who
presented
with
diffuse
osteolytic
bone
lesions
that
on
biopsy
showed
an
undifferentiated
malignancy.
A
poorly
differentiated
sarcoma
made
at
outside
institution
carboplatin
paclitaxel
initiated.
However,
revealed
TRAF1::ALK
translocation,
which
led
revised
stage
IV
ALK-positive
anaplastic
large
cell
lymphoma
(ALCL),
curable
cancer.
then
started
treatment
brentuximab
vedotin,
cyclophosphamide,
doxorubicin,
etoposide,
prednisone
followed
by
autologous
stem
transplantation
consolidation,
given
very
extensive
disease
presentation.
She
remains
continued
complete
remission
28
months.
In
this
case,
essential
establishing
correct
selection
therapy
high-risk
ALCL.
should
routine
oncology
workup
complement
standard
diagnostic
modalities.
Language: Английский
Advancing Precision Medicine: The Role of Genetic Testing and Sequencing Technologies in Identifying Biological Markers for Rare Cancers
Joviana Farhat,
No information about this author
Lara Alzyoud,
No information about this author
Mohammad Alwahsh
No information about this author
et al.
Cancer Medicine,
Journal Year:
2025,
Volume and Issue:
14(8)
Published: April 1, 2025
ABSTRACT
Background
Genetic
testing
and
sequencing
technologies
offer
a
comprehensive
understanding
of
cancer
genetics,
providing
rapid
cost‐effective
solutions.
In
particular,
these
advanced
play
an
important
role
in
assessing
the
complexities
rare
types
affecting
several
systems
including
bone,
endocrine,
digestive,
vascular,
soft
tissue.
This
review
will
explore
how
genetic
have
contributed
to
identification
biomarkers
across
diagnostic,
therapeutic,
prognostic
stages,
thereby
advancing
PM.
Methods
A
literature
search
was
conducted
PubMed
(MEDLINE),
EMBASE,
Web
Science
using
keywords
related
technologies,
testing,
cancer.
There
were
no
restrictions
on
language,
methodology,
age,
or
publication
date.
Both
primary
secondary
research
involving
humans
animals
considered.
Results
practice,
fluorescence
situ
hybridization,
karyotype,
microarrays
other
tests
are
mainly
applied
identify
specific
alterations
mutations
associated
with
progression.
Sequencing
such
as
next
generation
sequencing,
polymerase
chain
reaction,
whole
genome
exome
enable
analysis
millions
DNA
fragments.
These
techniques
assess
structure,
changes,
gene
expression
profiles,
epigenetic
variations.
Consequently,
they
help
detect
main
intrinsic
markers
that
crucial
for
personalizing
diagnosis,
treatment
options,
assessments,
leading
better
patient
prognosis.
highlights
why
methods
now
considered
tools
research.
However,
still
face
multiple
limitations,
false
positive
results,
limited
precision,
high
costs.
Conclusion
significantly
field
by
enabling
key
precision
treatment,
Despite
existing
their
integration
into
clinical
fields
continues
improve
development
personalized
medicine
strategies
complex
types.
Language: Английский
Advancements in pathology: Digital transformation, precision medicine, and beyond
S. Ahuja,
No information about this author
Sufian Zaheer
No information about this author
Journal of Pathology Informatics,
Journal Year:
2024,
Volume and Issue:
16, P. 100408 - 100408
Published: Nov. 19, 2024
Pathology,
a
cornerstone
of
medical
diagnostics
and
research,
is
undergoing
revolutionary
transformation
fueled
by
digital
technology,
molecular
biology
advancements,
big
data
analytics.
Digital
pathology
converts
conventional
glass
slides
into
high-resolution
images,
enhancing
collaboration
efficiency
among
pathologists
worldwide.
Integrating
artificial
intelligence
(AI)
machine
learning
(ML)
algorithms
with
improves
diagnostic
accuracy,
particularly
in
complex
diseases
like
cancer.
Molecular
pathology,
facilitated
next-generation
sequencing
(NGS),
provides
comprehensive
genomic,
transcriptomic,
proteomic
insights
disease
mechanisms,
guiding
personalized
therapies.
Immunohistochemistry
(IHC)
plays
pivotal
role
biomarker
discovery,
refining
classification
prognostication.
Precision
medicine
integrates
pathology's
findings
individual
genetic,
environmental,
lifestyle
factors
to
customize
treatment
strategies,
optimizing
patient
outcomes.
Telepathology
extends
services
underserved
areas
through
remote
pathology.
Pathomics
leverages
analytics
extract
meaningful
from
advancing
our
understanding
therapeutic
targets.
Virtual
autopsies
employ
non-invasive
imaging
technologies
revolutionize
forensic
These
innovations
promise
earlier
diagnoses,
tailored
treatments,
enhanced
care.
Collaboration
across
disciplines
essential
fully
realize
the
transformative
potential
these
advancements
practice
research.
Language: Английский
Research advances in tumor diagnosis and early detection
Rodney Bradly
No information about this author
Asia-Pacific Journal of Oncology,
Journal Year:
2024,
Volume and Issue:
unknown, P. 55 - 65
Published: Sept. 13, 2024
This
review
explores
recent
advances
in
tumor
diagnosis
and
early
detection,
focusing
on
cutting-edge
developments
molecular
diagnostic
technologies,
imaging
techniques,
the
integration
of
multi-omics
data.
Current
methods
have
limitations
terms
sensitivity
specificity,
particularly
for
detection.
However,
with
continuous
progress
research
emerging
especially
advent
liquid
biopsy,
which
enables
detection
circulating
DNA
(ctDNA),
exosomes,
tumor-educated
platelets
(TEPs),
accuracy
cancer
significantly
improved.
Moreover,
combined
application
artificial
intelligence
high-resolution
technology
has
enhanced
precision
diagnosis.
Despite
these
advances,
challenges,
such
as
high
cost
difficulties
data
integration,
continue
to
impede
widespread
clinical
adoption.
Therefore,
I
believe
that
future
should
prioritize
innovation
technologies
improve
their
applicability
across
various
types,
ultimately
contributing
advancement
personalized
therapy.
Language: Английский