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Updated: Jan 12, 2026

Kinase Inhibitor Screening In Self-assembled Human Protein Microarrays
Published on: October 23, 2019
Discovery of a "First-in-Class" Selective Multikinase (CDK4/6/9-AURKA/B) Inhibitor, LCI133, for Neuroblastoma
Krishnaiah Maddeboina1,2, Dhananjaya Pal1, Bharath Yada1
1Atrium Health Wake Forest Baptist Comprehensive Cancer Center/Levine Cancer Institute, Charlotte, North Carolina 28204, United States.
Abstract:
Our central hypothesis in this report is that the development of a single small molecule inhibitor that binds to multiple targets will be safer and more efficacious against high-risk cancers which rapidly develop resistance to one targeted therapeutic agent. We used a rational pharmacophore merging strategy and X-ray crystal structures of CDK6, CDK9, and AURKA to discover LCI133, a "first-in-class" nanomolar (nM) potent CDK4/6/9-AURKA/B inhibitor. Selectivity profiling of LCI133 using the scanMAX kinome assay of 468 kinases revealed that it is highly selective for CDK4/9 and AURKA targets. Pharmacokinetic studies with LCI133-HCl in mice demonstrate a high systemic exposure (AUC) of 7812 ng × h/mL and maximum plasma concentration (Cmax) of 3305 ng/mL. Neuroblastoma (NB) cells displayed nM sensitivity to LCI133 in vitro, and we observed potent antitumor effects in vivo in a BE(2)-C neuroblastoma xenograft model, without overt toxicity and an increase in the overall survival rate.
Insights
A novel multi-target inhibitor, LCI133, shows promise for high-risk cancers by targeting multiple kinases. This approach may overcome resistance and improve safety and efficacy in neuroblastoma treatment.
Area of Science:
- Oncology
- Pharmacology
- Molecular Biology
Background:
- High-risk cancers often develop resistance to single-target therapies.
- Developing multi-target inhibitors offers a strategy to overcome therapeutic resistance.
Purpose of the Study:
- To discover and characterize a novel small molecule inhibitor targeting multiple kinases.
- To evaluate the safety and efficacy of this inhibitor in preclinical models of neuroblastoma.
Main Methods:
- Rational pharmacophore merging and X-ray crystallography were used to design LCI133.
- Kinome profiling (scanMAX assay) assessed LCI133 selectivity against 468 kinases.
- Pharmacokinetic studies in mice and in vitro/in vivo efficacy studies in neuroblastoma models were performed.
Main Results:
- LCI133 is a potent nanomolar inhibitor of CDK4/6/9 and AURKA/B, with high selectivity.
- Pharmacokinetic studies showed good systemic exposure in mice (AUC: 7812 ng × h/mL, Cmax: 3305 ng/mL).
- LCI133 demonstrated nanomolar sensitivity in neuroblastoma cells and potent antitumor effects in vivo without overt toxicity, improving survival rates.
Conclusions:
- LCI133 represents a first-in-class multi-target inhibitor with potential for treating high-risk cancers like neuroblastoma.
- The multi-targeting strategy may offer improved safety and efficacy by circumventing resistance mechanisms.
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