Evidence map›Paper›PMID 41321709›Full record

ArticleCell insight2025

Development of a comparative high-throughput screening platform for identifying glioblastoma subtype specific inhibitors.

Zilai Wang, Pin Zhang, Kiira M Ratia, Ahmad Daher, Zongmin Zhao, Paul R Carlier, Yuwei Jiang, Lijun Rong

Abstract read
In one paragraph

Article in Cell insight, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Zilai WangDepartment of Microbiology and Immunology, College of Medicine, University of Illinois Chicago, Chicago, IL, 60612, USA.
Pin ZhangDepartment of Microbiology and Immunology, College of Medicine, University of Illinois Chicago, Chicago, IL, 60612, USA.
Kiira M RatiaUICentre for Drug Discovery, University of Illinois Chicago, Chicago, IL, 60612, USA.
Ahmad DaherDepartment of Neurology and Rehabilitation, University of Illinois Chicago, IL, 60612, USA.
Zongmin ZhaoDepartment of Pharmaceutical Sciences, Retzky College of Pharmacy, University of Illinois at Chicago, IL, 60612, USA.
Paul R CarlierUICentre for Drug Discovery, University of Illinois Chicago, Chicago, IL, 60612, USA.
Yuwei JiangDepartment of Physiology and Biophysics, College of Medicine, University of Illinois Chicago, Chicago, IL, 60612, USA.
Lijun RongDepartment of Microbiology and Immunology, College of Medicine, University of Illinois Chicago, Chicago, IL, 60612, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma (GBM) is the most lethal primary malignant brain tumor in adults, with the development of effective therapeutic agents largely hampered by vast tumor heterogeneity and the impedance of efficient drug delivery by the blood-brain barrier (BBB). Our prior research has demonstrated that adult neural stem cells (NSCs) and oligodendrocyte precursor cells (OPCs) can act as cells of origin for two distinct GBM subtypes (Type 1and Type 2) in mice, with significant conservation to human Type I and Type II GBM in functional properties and distinct responses to the inhibition by Tucatinib and Dasatinib. Based on these findings, we have established a robust high-throughput screening (HTS) assay to identify lineage-dependent subtype-specific as well as lineage-independent small molecule inhibitors for therapeutic development. Reported in the current study, we conducted a HTS using a kinase inhibitor library (900 compounds) in Type 1 and Type 2 GBM cells. Our primary screen identified 84 common inhibitors, 11 Type 1-specific inhibitors, and 18 Type 2-specific inhibitors. The confirmation screen verified R406 and Ponatinib as selective inhibitors of Type 2 GBM cells, and this was further validated in dose-dependent assays. Additionally, R406 exhibited a synergistic effect with Tucatinib in Type 2 GBM cells, providing a rationale for combination therapy. Our study demonstrated the feasibility of identifying subtype-specific therapeutic vulnerabilities using cell-lineage based GBM models and laid the foundation for expanded HTS studies in larger scale screens in both mouse and human GBM subtypes.

Indexed as

DasatinibGlioblastomaHigh-throughput screeningKinase inhibitorsPonatinibPrecision medicineR406Subtype-specific therapyTucatinib

Identifiers

PMID41321709
PMCPMC12657333

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.