Rational Design of a Potent, Selective, and Metabolically Stable CDK9 Inhibitor to Counteract Osimertinib Resistance through Mcl-1 Suppression and Enhanced BRD4 Co-Targeting

Overcoming osimertinib resistance in NSCLC treatment remains a significant clinical challenge. CDK9 has emerged as a promising target due to its critical role in sustaining oncogenic transcriptional programs, particularly via Mcl-1 regulation. Herein, we report the structure-guided optimization of a previously identified CDK9 inhibitor (<b>Z11</b>), resulting in the discovery of <b>T7</b>, a potent, selective, and metabolically stable candidate (IC<sub>50</sub> = 1.2 nM). <b>T7</b> effectively suppressed cell proliferation, reduced colony formation, and induced apoptosis in Osimertinib-resistant NSCLC cells by downregulating Mcl-1. Furthermore, <b>T7</b> significantly inhibited the growth of resistant organoids and demonstrated marked antitumor efficacy in a xenograft model. Notably, combining <b>T7</b> with the BRD4 inhibitor <b>JQ1</b> further enhanced antitumor activity both in vitro and in vivo, revealing a complementary therapeutic strategy. These findings identify <b>T7</b> as a promising next-generation CDK9 inhibitor for addressing Osimertinib resistance in NSCLC and underscore the potential of transcriptional cotargeting approaches to improve clinical outcomes.

Authors

Institutions

Publication Details

Journal
Journal of Medicinal Chemistry
Published
2025-02-13
DOI
https://doi.org/10.1021/acs.jmedchem.4c03168
Citations
4
Primary Topic
Lung Cancer Treatments and Mutations
Type
article
Field-Weighted Citation Impact
6.07
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Rational Design of a Potent, Selective, and Metabolically Stable CDK9 Inhibitor to Counteract Osimertinib Resistance through Mcl-1 Suppression and Enhanced BRD4 Co-Targeting

Xiankang Zhang, Alexander V. Finko, Tizhi Wu, Jinlei Bian et al.
4 citations
Journal of Medicinal Chemistry
Lung Cancer Treatments and Mutations
6.07
article

Rational Design of a Potent, Selective, and Metabolically Stable CDK9 Inhibitor to Counteract Osimertinib Resistance through Mcl-1 Suppression and Enhanced BRD4 Co-Targeting

Xiankang Zhang, Alexander V. Finko, Tizhi Wu, Jinlei Bian, Zhiyu Li, Lei Feng, Shiqi Wu, Yifan Xu, Feihai Ma, Yifang Liu, S. Q. Y. Yu, Jiali Huang
article en
4 citations

Abstract

Overcoming osimertinib resistance in NSCLC treatment remains a significant clinical challenge. CDK9 has emerged as a promising target due to its critical role in sustaining oncogenic transcriptional programs, particularly via Mcl-1 regulation. Herein, we report the structure-guided optimization of a previously identified CDK9 inhibitor (<b>Z11</b>), resulting in the discovery of <b>T7</b>, a potent, selective, and metabolically stable candidate (IC<sub>50</sub> = 1.2 nM). <b>T7</b> effectively suppressed cell proliferation, reduced colony formation, and induced apoptosis in Osimertinib-resistant NSCLC cells by downregulating Mcl-1. Furthermore, <b>T7</b> significantly inhibited the growth of resistant organoids and demonstrated marked antitumor efficacy in a xenograft model. Notably, combining <b>T7</b> with the BRD4 inhibitor <b>JQ1</b> further enhanced antitumor activity both in vitro and in vivo, revealing a complementary therapeutic strategy. These findings identify <b>T7</b> as a promising next-generation CDK9 inhibitor for addressing Osimertinib resistance in NSCLC and underscore the potential of transcriptional cotargeting approaches to improve clinical outcomes.

Journal of Medicinal ChemistryVol. 68(4)
China Pharmaceutical University (CN), Lomonosov Moscow State University (RU), Moscow State University (TJ)
Openalex Percentile: Top 4%
Lung Cancer Treatments and Mutations
6.07
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.