Network-driven prioritization and functional phenotyping nominate TTC23 as a biomarker-informed target in chlorpromazine repurposing for glioblastoma.
Overview
- Department of Neurosurgery, Ziyang Central Hospital, West China Hospital of Sichuan University-Ziyang Hospital, Ziyang, China
- Outpatient Department, Ziyang Central Hospital, West China Hospital of Sichuan University-Ziyang Hospital, Ziyang, China
Abstract
Background: Glioblastoma (GBM) remains a lethal brain tumor with limited therapeutic options and near-universal recurrence. Drug repurposing offers a practical strategy, but pleiotropic compounds require systematic target triage to yield actionable and testable vulnerabilities.
Methods: We integrated GBM transcriptomic dysregulation with curated chlorpromazine (CPZ)-associated targets to define drug–disease intersecting genes, constructed a protein–protein interaction network, and developed an outcome-linked Lasso–Cox prognostic model to prioritize core candidates. Structure-informed docking and coarse-grained conformational sampling were used to evaluate the plausibility of a TTC23–CPZ interaction. TTC23-associated pathway activity, oncogenic state features, and immune contexture were characterized using expression stratification, enrichment and state scoring, cancer–immunity cycle analysis, and immune infiltration estimation. Functional validation was performed in GBM cell models to assess migration, apoptosis, cell viability, and clonogenic potential under TTC23 perturbation with or without CPZ exposure.
Results: Integrated CPZ–GBM intersection analysis and network-based prognostic modeling consistently prioritized TTC23 as a clinically relevant candidate. Structure-based analyses supported a consistent TTC23–CPZ interaction hypothesis across conformational sampling. Elevated TTC23 expression was associated with coordinated pathway activation, malignant functional states, and distinct immune-associated features. Functionally, TTC23 depletion suppressed migratory capacity, increased apoptotic susceptibility, reduced short-term viability, and impaired long-term clonogenic survival, while sensitizing GBM cells to CPZ-associated anti-tumor phenotypes.
Conclusion: Our multi-layer framework nominates TTC23 as a functionally relevant determinant associated with CPZ response in GBM and supports the CPZ–TTC23 axis as a candidate for biomarker-informed drug repurposing.
Reproduced under the paper's license (CC BY), from the paper cited above.
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Data
Datasets cited
- geo:GSE4290, at NCBI GEO; found in “Data availability statement”
Data availability statement
The datasets analyzed in this study are publicly available. Bulk transcriptomic data were obtained from the Gene Expression Omnibus (GEO) under accession number GSE4290 (https://
Reproduced under the paper's license (CC BY), from the paper cited above.
Versions
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Version 1, 28 September 2026: the first record
Recorded: type, language, journal, volume, pages, dates, 6 authors, 7 keywords, 65 references, 3 RRIDs.
Cite
This paper
Hao, J., Liu, H., Ye, Y., Lv, J., Xue, F., & Cai, Y. (2026). Network-driven prioritization and functional phenotyping nominate TTC23 as a biomarker-informed target in chlorpromazine repurposing for glioblastoma. Frontiers in pharmacology, 17, 1797067. https://
BibTeX
@article{hao2026network,
author = {Hao, Jianqiang and Liu, Hongbin and Ye, Yongqiang and Lv, Jianwei and Xue, Fang and Cai, Yanli},
title = {{Network-driven prioritization and functional phenotyping nominate TTC23 as a biomarker-informed target in chlorpromazine repurposing for glioblastoma}},
journal = {Frontiers in pharmacology},
year = {2026},
month = may,
volume = {17},
pages = {1797067},
publisher = {Frontiers Media SA},
issn = {1663-9812},
doi = {10.3389/
url = {https://
pmid = {42158948},
pmcid = {PMC13181239}
}
RIS
TY - JOUR
AU - Hao, Jianqiang
AU - Liu, Hongbin
AU - Ye, Yongqiang
AU - Lv, Jianwei
AU - Xue, Fang
AU - Cai, Yanli
TI - Network-driven prioritization and functional phenotyping nominate TTC23 as a biomarker-informed target in chlorpromazine repurposing for glioblastoma
T2 - Frontiers in pharmacology
J2 - Front Pharmacol
PY - 2026
DA - 2026/
VL - 17
SP - 1797067
SN - 1663-9812
PB - Frontiers Media SA
DO - 10.3389/
UR - https://
LA - en
ER -
CSL-JSON
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