Characterizing macrophage diversity in colorectal malignancies through single-cell genomics
Tianjing Zhao,
No information about this author
Yinyi Luo,
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Yuanjie Sun
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et al.
Frontiers in Immunology,
Journal Year:
2025,
Volume and Issue:
16
Published: March 21, 2025
Colorectal
cancer
(CRC)
is
one
of
the
most
common
malignant
tumors
digestive
tract,
with
increasing
incidence
and
mortality
rates,
posing
a
significant
burden
on
human
health.
Its
progression
relies
various
mechanisms,
among
which
tumor
microenvironment
tumor-associated
macrophages
(TAMs)
have
garnered
attention.
Macrophage
infiltration
in
solid
associated
poor
prognosis
linked
to
chemotherapy
resistance
many
cancers.
These
biological
behaviors
depend
heterogeneity
macrophages.
Tumor-promoting
TAMs
comprise
subpopulations
characterized
by
distinct
markers
unique
transcriptional
profiles,
rendering
them
potential
targets
for
anticancer
therapies
through
either
depletion
or
reprogramming
from
pro-tumoral
an
anti-tumoral
state.
Single-cell
RNA
sequencing
technology
has
significantly
enhanced
our
research
resolution,
breaking
traditional
simplistic
definitions
macrophage
subtypes
deepening
understanding
diversity
within
TAMs.
However,
unified
elucidation
nomenclature
molecular
characteristics
this
remains
lacking.
In
review,
we
assess
application
conventional
polarization
colorectal
malignancies
explore
several
defined
single-cell
omics
perspective
recent
years,
categorizing
based
their
functions.
Language: Английский
Endoplasmic reticulum stress-related prognosis signature characterizes the immune landscape and predicts the prognosis of colon adenocarcinoma
Frontiers in Genetics,
Journal Year:
2025,
Volume and Issue:
16
Published: April 1, 2025
Colon
adenocarcinoma
(COAD)
is
characterized
by
high
mortality
and
poor
prognosis.
Endoplasmic
reticulum
stress-related
gene
(ERSG)
plays
an
indispensable
role
in
the
progression
immunotherapy
of
COAD.
In
this
study,
we
evaluated
prognostic
value
ERSGs
We
constructed
validated
ERSG-related
signature
based
on
public
databases
using
univariate
Cox
analysis,
Kaplan-Meier
survival
LASSO
method,
multivariate
analysis.
addition,
TCGA-COAD,
Human
Protein
Atlas,
quantitative
real-time
PCR
(q-PCR)
were
used
to
detect
mRNA
protein
expressions
normal
cancer
tissues/cells.
The
immunotherapeutic
cohort
was
evaluate
predictive
ERSG
for
sensitivity.
signature,
consisted
HSPA1A,
SERPINA1,
DAPK1,
could
predict
prognosis
patients
with
Clinicopathologic
characteristics
significantly
correlated
risk
scores.
There
significant
differences
proportion
tumor-infiltrating
immune
cells,
TP53
mutation
rate,
expression
checkpoint-related
genes,
IC50
chemotherapeutic
drugs
between
low-
high-risk
groups.
Compared
tissues,
three
decreased
tissues.
NCM460,
levels
HSPA1A
DAPK1
majority
COAD
cell
lines,
whereas
level
SERPINA1
increased
HCT116
SW480,
reduced
SW620.
be
as
a
predictor
outcomes.
has
sensitivity
COAD,
helping
guide
personalized
treatment.
Language: Английский
Multidimensional differences of right- and left-sided colorectal cancer and their impact on targeted therapies
Marwa Abdel Hamid,
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Lorenz M. Pammer,
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Silvia Oberparleiter
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et al.
npj Precision Oncology,
Journal Year:
2025,
Volume and Issue:
9(1)
Published: April 22, 2025
Despite
advances
in
metastatic
colorectal
cancer
(mCRC)
treatment,
long-term
survival
remains
poor,
particularly
right-sided
(RCRC),
which
has
a
worse
prognosis
compared
to
left-sided
CRC
(LCRC).
This
disparity
is
driven
by
the
complex
biological
diversity
of
these
malignancies.
RCRC
and
LCRC
differ
not
only
clinical
presentation
outcomes
but
also
their
underlying
molecular
genetic
profiles.
article
offers
detailed
literature
review
focusing
on
distinctions
between
LCRC.
We
explore
key
differences
across
embryology,
anatomy,
pathology,
omics,
tumor
microenvironment
(TME),
providing
insights
into
how
factors
contribute
therapeutic
responses.
Furthermore,
we
examine
implications
differences,
considering
whether
conventional
classification
right-
forms
should
be
refined.
Recent
findings
suggest
that
this
binary
may
overlook
critical
complexities.
Therefore,
propose
future
approaches
integrate
better
guide
personalized
treatments,
especially
anti-EGFR
therapies,
improve
patient
outcomes.
Language: Английский
Survival in Stage IV Colorectal Cancer at Diagnosis
Jeremy Chang,
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Carine Dornbush,
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Sarah L. Mott
No information about this author
et al.
Surgical Oncology Insight,
Journal Year:
2025,
Volume and Issue:
unknown, P. 100144 - 100144
Published: May 1, 2025
Language: Английский
Constructing an immune-related prognostic signature for predicting prognosis and immune response in hepatocellular carcinoma
Lichao Cao,
No information about this author
Deliang Huang,
No information about this author
Shenrui Zhang
No information about this author
et al.
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(13), P. e34012 - e34012
Published: July 1, 2024
BackgroundCurrently,
there
are
few
studies
on
immune-related
prognostic
analysis
of
hepatocellular
carcinoma
(HCC).
Our
aim
was
to
establish
an
immune-correlated
model
for
HCC.MethodsImmune-associated
cells
were
obtained
from
the
scRNA-seq
dataset
(GSE149614)
HCC.
Differentially
expressed
genes
between
normal
and
tumor
immune-associated
ImmPort
database
used
identify
differentially
(IRDEGs).
Subsequently,
risk
established
in
TCGA-LIHC
cohort
(n
=
438)
Cancer
Genome
Atlas
(TCGA)
by
using
Kaplan-Meier
(K-M)
survival
curve,
univariate/multivariate
Cox
regression
analysis.
we
further
analyzed
immune
microenvironment
characteristics,
somatic
mutation,
checkpoint
its
ligand
expression
levels
high-
low-risk
groups,
as
well
drug
sensitivity
prediction.
ICGC
set
validation
cohort.
three
independent
Gene
Expression
Omnibus
(GEO)
datasets
(GSE54236,
GSE14520,
GSE64041)
verify
IRDEGs
expression,
PCR
assays
clinical
samples.ResultsThe
composed
4
genes,
namely
B2M,
SPP1,
PPIA,
HRG.
The
438
HCC
patients
divided
into
group.
high-risk
group
associated
with
poor
prognosis,
including
higher
T
stage,
advanced
pathological
stages,
less
cell
infiltration,
TP53
mutation
rate,
high
CTLA4
HAVCR2.
Besides,
populations
benefit
most
chemotherapy
drugs.
Similarly,
performance
validated
ICGC.
All
four
(TCGA-LIHC
cohort,
GSE54236,
q-PCR
results
demonstrated
that,
compared
samples,
expressions
B2M
HRG
lower
SPP1
higher.ConclusionIn
summary,
signature
had
a
good
predictive
prognosis
immunotherapy
patients.
Language: Английский
Exploration of bacterial lipopolysaccharide-related genes signature based on T cells for predicting prognosis in colorectal cancer
Lichao Cao,
No information about this author
Ying Ba,
No information about this author
Fangfang Chen
No information about this author
et al.
Aging,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 6, 2024
The
intratumoral
microorganisms
participates
in
the
progression
and
immunotherapy
of
colorectal
cancer
(CRC).
However,
due
to
technical
limitations,
impact
on
CRC
has
not
been
fully
understood.
Therefore,
we
conducted
a
systematic
analysis
relationship
between
bacterial
lipopolysaccharide
(LPS)-associated
genes
immune
cells
explore
new
biomarkers
for
predicting
prognosis
CRC.
Language: Английский