Discovery of Tetrasubstituted Quinazolin-4(3 H )-ones as Wild-type-sparing, Highly Selective PI3KαH1047R Inhibitors

Abstract Inhibiting PI3Kα has demonstrated promising therapeutic effects for patients with HR+/HER2− and PIK3CA-mutated advanced or metastatic breast cancer. However, hyperglycemia and other notable adverse events (AE) associated with concomitant wild-type inhibition remain a challenge and limit dosing. Selectively targeting the mutant PI3KαH1047R could reduce wild-type-driven AEs while retaining clinical efficacy. Herein, we report the design and identification of tetrasubstituted quinazolin-4(3H)-ones that can selectively inhibit PI3KαH1047R through a proposed slow-on and slow-off mechanism. Compound 34 demonstrated potent and mutant-selective in vitro activity and a good ADME profile. When dosed in a T47D mouse xenograft model, it displayed measurable and significant TGI (tumor growth inhibition) with no effect on either the serum insulin or blood glucose levels in contrast with the group dosed with an approved PI3Kα inhibitor. These promising findings demonstrate that a highly selective inhibitor of mutant PI3KαH1047R may address current on-target toxicity arising from PI3KαWT inhibitionthough further optimization of compound 34 to reduce the efficacious dose and address tolerability would be warranted.

Authors

Institutions

Publication Details

Journal
Journal of Medicinal Chemistry
Published
2026-09-18
DOI
https://doi.org/10.1021/acs.jmedchem.6c00269
Primary Topic
PI3K/AKT/mTOR signaling in cancer
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Discovery of Tetrasubstituted Quinazolin-4(3 H )-ones as Wild-type-sparing, Highly Selective PI3KαH1047R Inhibitors

Joseph Rager, Sandy Geeganage, Andrew W. Buesking, Monisha Sivakumar et al.
Journal of Medicinal Chemistry
PI3K/AKT/mTOR signaling in cancer
article

Discovery of Tetrasubstituted Quinazolin-4(3 H )-ones as Wild-type-sparing, Highly Selective PI3KαH1047R Inhibitors

Joseph Rager, Sandy Geeganage, Andrew W. Buesking, Monisha Sivakumar, Andrew P. Combs, Sarah Pawley, Ross Kuskovsky, Soham Maity, Kirsten Gallagher, Ryan Holmes, Amy Crossan, Peggy Scherle, Ashish Juvekar, Jack Carter, Min Wang, Chaoyi Xu, Nicholaas Stahl, Chun Chen, Raul Leal
article en

Abstract

Abstract Inhibiting PI3Kα has demonstrated promising therapeutic effects for patients with HR+/HER2− and PIK3CA-mutated advanced or metastatic breast cancer. However, hyperglycemia and other notable adverse events (AE) associated with concomitant wild-type inhibition remain a challenge and limit dosing. Selectively targeting the mutant PI3KαH1047R could reduce wild-type-driven AEs while retaining clinical efficacy. Herein, we report the design and identification of tetrasubstituted quinazolin-4(3H)-ones that can selectively inhibit PI3KαH1047R through a proposed slow-on and slow-off mechanism. Compound 34 demonstrated potent and mutant-selective in vitro activity and a good ADME profile. When dosed in a T47D mouse xenograft model, it displayed measurable and significant TGI (tumor growth inhibition) with no effect on either the serum insulin or blood glucose levels in contrast with the group dosed with an approved PI3Kα inhibitor. These promising findings demonstrate that a highly selective inhibitor of mutant PI3KαH1047R may address current on-target toxicity arising from PI3KαWT inhibitionthough further optimization of compound 34 to reduce the efficacious dose and address tolerability would be warranted.

Journal of Medicinal Chemistry
Precision Therapeutics (United States) (US)
Good health and well-being
Openalex Percentile: Top 18%
PI3K/AKT/mTOR signaling in cancer
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.