Comprehensive analysis of plasma cell heterogeneity and immune interactions in multiple myeloma
Shuang Qu,
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Zhihai Zheng,
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Xiaoling Guo
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et al.
Frontiers in Immunology,
Journal Year:
2025,
Volume and Issue:
16
Published: April 22, 2025
This
study
focused
on
the
role
of
plasma
cells
in
multiple
myeloma
(MM)
and
associated
potential
mechanisms.
Transcriptomic
data
MM
various
gene
sets
from
several
public
databases
were
downloaded
for
subsequent
analyses.
Through
single-cell
sequencing,
10
major
cell
types
identified
annotated.
The
differential
expression
pathway
enrichment
between
different
subtypes
as
well
communication
analysis,
transcriptional
regulation
analysis
conjunction
with
malignant
subpopulation
performed.
Next,
samples
clustered
into
two
groups
by
applying
non-negative
matrix
factorization
(NMF).
Additional
revealed
notable
disparities
survival
clusters,
correlation
genes
involved
classical
metabolic
pathways
dysregulation,
thus
confirming
stability
validity
clustering.
Subsequently,
Weighted
Gene
Co-expression
Network
Analysis
was
performed
hub
modules
most
strongly
clustering
extracted.
We
then
constructed
a
prognostic
prediction
model
using
Least
Absolute
Shrinkage
Selection
Operator
multiCox
regression
analysis.
predictive
accuracy
evaluated
robustness
confirmed
separate
validation
cohort.
dysregulation
risk
analyzed.
Ultimately,
an
investigation
conducted
association
immunological
features,
terms
antitumor
immunotherapy,
tumor
microenvironment,
immune
checkpoints.
provides
in-depth
mechanisms
underlying
development
offers
new
directions
to
improve
therapeutic
approaches
enhance
patient
outcomes.
Language: Английский
Lipid levels and multiple myeloma risk: insights from Meta-analysis and mendelian randomization
Lipids in Health and Disease,
Journal Year:
2024,
Volume and Issue:
23(1)
Published: Sept. 16, 2024
Lipid
levels
have
been
suggset
to
be
correlated
with
multiple
myeloma
(MM)
risk,
though
causality
remains
unconfirmed.
To
explore
this
further,
a
detailed
study
combining
meta-analysis
and
Mendelian
randomization
(MR)
was
conducted.
Language: Английский