Optimization of Novel Quinazolines as Potent Aurora Kinase Inhibitors for Triple-Negative Breast Cancer Treatment

This work describes the discovery of a new series of Aurora kinase inhibitors based on quinazoline skeleton derived from <b>ENMD-2076</b>, as well as the first X-ray cocrystal structure complexes of vinyl-quinazoline <b>9h</b> with Aurora A. Replacing pyrimidine with quinazoline improved anticancer activity and facilitated cocrystal formation. Compounds <b>9a</b> and <b>9h</b> showed excellent Aurora A kinase inhibition, with IC<sub>50</sub> values of 6.0 and 2.8 nM, respectively. <b>9h</b> demonstrated superior activity against TNBC MDA-MB-231 cells with an IC<sub>50</sub> value of 48 nM and achieved 59% tumor growth inhibition in xenograft models, vs <b>ENMD-2076</b>'s 33% with no observable toxicity. Mechanistic studies using immunoblotting, immunofluorescence staining, and flow cytometry showed that <b>9h</b> outperforms <b>ENMD-2076</b> in inhibiting Aurora A kinase activation, preventing spindle formation, arresting the cell cycle, and inducing cell apoptosis. Thus, <b>9h</b> has the potential for further optimization and is a promising anticancer drug candidate.

Authors

Institutions

Publication Details

Journal
Journal of Medicinal Chemistry
Published
2025-08-25
DOI
https://doi.org/10.1021/acs.jmedchem.5c00107
Citations
2
Primary Topic
Microtubule and mitosis dynamics
Type
article
Field-Weighted Citation Impact
2.30

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimization of Novel Quinazolines as Potent Aurora Kinase Inhibitors for Triple-Negative Breast Cancer Treatment

Bao Cheng, Huihao Zhou, Quentin Liu, Zi‐Jie Long et al.
2 citations
Journal of Medicinal Chemistry
Microtubule and mitosis dynamics
2.30
article

Optimization of Novel Quinazolines as Potent Aurora Kinase Inhibitors for Triple-Negative Breast Cancer Treatment

Bao Cheng, Huihao Zhou, Quentin Liu, Zi‐Jie Long, Yujia Pan, Gui Lu, Wei Peng, Hongjin Zhai, Zhengchao Tu, Bin Zhang, Long Liang
article en
2 citations

Abstract

This work describes the discovery of a new series of Aurora kinase inhibitors based on quinazoline skeleton derived from <b>ENMD-2076</b>, as well as the first X-ray cocrystal structure complexes of vinyl-quinazoline <b>9h</b> with Aurora A. Replacing pyrimidine with quinazoline improved anticancer activity and facilitated cocrystal formation. Compounds <b>9a</b> and <b>9h</b> showed excellent Aurora A kinase inhibition, with IC<sub>50</sub> values of 6.0 and 2.8 nM, respectively. <b>9h</b> demonstrated superior activity against TNBC MDA-MB-231 cells with an IC<sub>50</sub> value of 48 nM and achieved 59% tumor growth inhibition in xenograft models, vs <b>ENMD-2076</b>'s 33% with no observable toxicity. Mechanistic studies using immunoblotting, immunofluorescence staining, and flow cytometry showed that <b>9h</b> outperforms <b>ENMD-2076</b> in inhibiting Aurora A kinase activation, preventing spindle formation, arresting the cell cycle, and inducing cell apoptosis. Thus, <b>9h</b> has the potential for further optimization and is a promising anticancer drug candidate.

Journal of Medicinal ChemistryVol. 68(17)
Guangzhou University of Chinese Medicine (CN), Sun Yat-sen University (CN), Jinan University (CN), Dalian Medical University (CN), State Administration of Traditional Chinese Medicine of the People's Republic of China (CN), Jinan University (LB), Sun Yat-sen University Cancer Center (CN), Third Affiliated Hospital of Sun Yat-sen University (CN), State Key Laboratory of Oncology in South China
National Natural Science Foundation of China, Guangdong Provincial Key Laboratory of Construction Foundation, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 12%
Microtubule and mitosis dynamics
2.30
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.