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PXD010745-2

PXD010745 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleA Gene Expression-based Strategy Identifies the Anthelminthic Drug Niclosamide for High-risk Neuroblastoma Therapy
DescriptionNeuroblastoma is a pediatric tumor of the peripheral sympathetic nervous system with diverse clinical behaviors. Even with multimodal therapies, high-risk neuroblastoma has an unfavorable outcome irrespective of MYCN amplification, a well-established oncogenic driver in neuroblastoma pathogenesis, and its genetic heterogeneity has largely impeded efforts to correlate molecular targets with biological consequences for more effective treatment strategies. Here, using a gene expression-based approach, we identified the FDA-approved anthelmintic niclosamide as a potential anti-neuroblastoma drug. By combining the gene expression signature associated with high-risk neuroblastoma and the recurrent drug−transcript relationships inferred from up to one million perturbational gene expression profiles, our algorithm predicted effective therapeutic candidates by evaluating the extent to which a given compound or their combinations could ‘reverse’ the high-risk signature. Furthermore, we performed quantitative polymerase chain reaction (qPCR) to validate top five candidate reverse genes which are involved in DNA replication, including cyclin A2 (CCNA2), minichromosome maintenance 10 replication initiation factor (MCM10), ERCC excision repair 6 like, spindle assembly checkpoint helicase (ERCC6L), kinesin family member 20A (KIF20A), and RuvB like AAA ATPase 1 (RUVBL1). Indeed, those five genes were downregulated in niclosamide-treated cells, indicating niclosamide suppressed DNA replication and then inhibited cell proliferation. Using cell proliferation and clonogenic assays as well as flow cytometry, we determined the cytotoxic effects of niclosamide in MYCN-amplified SK-N-DZ and non-amplified SK-N-AS cells. The results showed that niclosamide could effectively reduce not only cell proliferation and colony formation but also trigger cell cycle arrest and apoptosis. Moreover, we conducted human tumor xenografts in a nude mice model to evaluate the in vivo efficacy of niclosamide and found that it significantly suppressed tumor growth and prolonged survival rate, but doesn’t cause organ damage and change body weight. To explore the molecular mechanism of niclosamide, stable-isotope dimethyl labeling strategy for quantitative proteomics was performed on both cell-based or xenograft-based MYCN-amplified SK-N-DZ and MYCN-nonamplified SK-N-AS models. We confirmed niclosamide not only mediated the function of mitochondrial electron transport chain but also the other functions in high risk neuroblastoma cell lines and xenografts. The results suggest that our developed expression-based strategy is useful for drug discovery and provides the possibility of repurposing the anthelminthic drug niclosamide for treating high-risk neuroblastoma therapy.
HostingRepositoryPRIDE
AnnounceDate2024-10-22
AnnouncementXMLSubmission_2024-10-22_05:33:38.360.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterWen-Chi Lee
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListmonohydroxylated residue
InstrumentLTQ Orbitrap
Dataset History
RevisionDatetimeStatusChangeLog Entry
02018-08-10 02:20:49ID requested
12022-02-23 09:03:22announced
22024-10-22 05:33:38announced2024-10-22: Updated project metadata.
Publication List
Dataset with its publication pending
Keyword List
ProteomeXchange project tag: Cancer (B/D-HPP)
curator keyword: Biological, Biomedical
submitter keyword: Neuroblastoma
MYCN
recurrent drug−transcript relationships
niclosamide
LC-MS/MS
metabolism
Contact List
Hsueh-Fen Juan
contact affiliationInstitute of Molecular and Cellular Biology, National Taiwan University
contact emailyukijuan@gmail.com
lab head
Wen-Chi Lee
contact affiliationInstitute of Molecular and Cellular Biology, National Taiwan University
contact emaillily83722@gmail.com
dataset submitter
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Dataset FTP location
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