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@ARTICLE{Lyu:285918,
author = {Lyu, Feng and Wu, Jingjing and Qi, Ji and Wang, Gege and
Xie, Liqing and Wang, Zhicong},
title = {{S}phingolipid-associated signature unveils {TIMP}1-driven
temozolomide resistance and guides stratified therapy in
glioblastoma.},
journal = {Frontiers in immunology},
volume = {17},
issn = {1664-3224},
address = {Lausanne},
publisher = {Frontiers Media},
reportid = {DZNE-2026-00364},
pages = {1753274},
year = {2026},
abstract = {Glioblastoma (GBM) remains the most prevalent and
aggressive primary central nervous system (CNS) malignancy;
however, the clinical efficacy of the preferred
chemotherapeutic agent, Temozolomide (TMZ), is severely
compromised by innate and acquired resistance. Sphingolipid
metabolism acts as a pivotal regulator of GBM cell fate, and
the imbalance of the 'sphingolipid rheostat' is intimately
linked to TMZ resistance. This provides potential targets
for developing novel prognostic models to inform stratified
treatment risk strategies, while offering a promising entry
point for TMZ chemosensitization and stratified drug
combinations.We integrated single-cell and bulk
transcriptomics from TCGA and GEO. Through a
multi-dimensional framework combining Weighted Gene
Co-expression Network Analysis (WGCNA), differential
expression profiling, Cox regression, and machine learning,
we identified candidate genes associated with the molecular
landscape coupled with sphingolipid dysregulation and TMZ
sensitivity in GBM to construct a reliable prognostic model.
We verified mRNA expression of model genes and protein
expression of TIMP1 in clinical specimens via RT-qPCR and
tissue microarrays (TMA), respectively. Furthermore, we
functionally characterized the core target, TIMP1, via
lentiviral knockdown in U87 cells, employing Transwell,
CCK-8, and IC50 assays to evaluate its impact on malignancy
and, crucially, its capacity to modulate TMZ
chemosensitization.Single-cell analysis stratified GBM
samples into distinct metabolic subclasses, revealing
significant metabolic heterogeneity. Integrating TCGA and
GEO profiles with WGCNA-based multi-dimensional
intersection, we identified 95 candidate genes, refined via
Cox regression and machine learning into a potent six-gene
model (MXRA8, TIMP1, TREM1, S100A4, RMI2, IRF7) reflecting
critical axes of extracellular matrix (ECM) remodeling,
inflammation, and DNA repair. We delineated the model's role
in shaping an immune-excluded tumor microenvironment (TME)
characterized by stromal remodeling, T-cell exhaustion and
functional impairment of natural killer (NK) cell subsets,
while uncovering specific therapeutic vulnerabilities for
distinct risk subgroups. Experimental validation confirmed
widespread upregulation of core targets in clinical
specimens. Functionally, TIMP1 knockdown significantly
suppressed proliferation and invasion. Most importantly,
silencing TIMP1 effectively restored sensitivity to TMZ
(chemosensitization).This study establishes and validates a
robust GBM prognostic model integrating the
sphingolipid-associated molecular landscape with
chemotherapy resistance. It provides a comprehensive
perspective on the interplay among sphingolipid
dysregulation, immune evasion, TMZ resistance, and the
critical functional role of TIMP1. Beyond enabling precise
patient stratification, this model highlights specific
therapeutic vulnerabilities, offering a translational
framework for developing combinatorial strategies to target
the sphingolipid regulatory network and overcome GBM
chemoresistance.},
keywords = {Humans / Glioblastoma: drug therapy / Glioblastoma:
genetics / Glioblastoma: metabolism / Glioblastoma:
pathology / Sphingolipids: metabolism / Temozolomide:
pharmacology / Temozolomide: therapeutic use / Drug
Resistance, Neoplasm: genetics / Tissue Inhibitor of
Metalloproteinase-1: genetics / Tissue Inhibitor of
Metalloproteinase-1: metabolism / Brain Neoplasms: drug
therapy / Brain Neoplasms: genetics / Brain Neoplasms:
metabolism / Gene Expression Regulation, Neoplastic /
Antineoplastic Agents, Alkylating: pharmacology /
Antineoplastic Agents, Alkylating: therapeutic use / Cell
Line, Tumor / Prognosis / Gene Expression Profiling /
Transcriptome / TIMP1 (Other) / glioblastoma (Other) /
pharmacogenomics (Other) / prognostic model (Other) /
sphingolipid metabolism (Other) / temozolomide resistance
(Other) / tumor microenvironment (Other) / Sphingolipids
(NLM Chemicals) / Temozolomide (NLM Chemicals) / Tissue
Inhibitor of Metalloproteinase-1 (NLM Chemicals) / TIMP1
protein, human (NLM Chemicals) / Antineoplastic Agents,
Alkylating (NLM Chemicals)},
cin = {AG Ehninger},
ddc = {610},
cid = {I:(DE-2719)1013005},
pnm = {352 - Disease Mechanisms (POF4-352)},
pid = {G:(DE-HGF)POF4-352},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:41929516},
pmc = {pmc:PMC13038958},
doi = {10.3389/fimmu.2026.1753274},
url = {https://pub.dzne.de/record/285918},
}