Evidence map›Paper›PMID 42021316›Full record

ArticleBMC pharmacology & toxicology2026

CZC54252 overcomes Osimertinib resistance by targeting EGFR

Tingnan Ma, Tao Yuan, Yingying Hou, Maoyu Liu, Yaru Zhang, Jianyou Shi, Lei Zhong

Abstract read
In one paragraph

Article in BMC pharmacology & toxicology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Tingnan Ma *Department of Pharmacy, Personalized Drug Research and Therapy Key Laboratory of Sichuan Province, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610072, China.
Tao Yuan *Department of Pharmacy, Personalized Drug Research and Therapy Key Laboratory of Sichuan Province, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610072, China.
Yingying Hou *Department of Pharmacy, Personalized Drug Research and Therapy Key Laboratory of Sichuan Province, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610072, China.
Maoyu LiuDepartment of Pharmacy, Personalized Drug Research and Therapy Key Laboratory of Sichuan Province, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610072, China.
Yaru ZhangDepartment of Pharmacy, Personalized Drug Research and Therapy Key Laboratory of Sichuan Province, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610072, China.
Jianyou ShiDepartment of Pharmacy, Personalized Drug Research and Therapy Key Laboratory of Sichuan Province, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610072, China. shijianyoude@126.com.
Lei ZhongDepartment of Pharmacy, Personalized Drug Research and Therapy Key Laboratory of Sichuan Province, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610072, China. zhl7235301@163.com.

Funding

Chengdu Medical Research Project 2024318the Health Commission of Sichuan Province Medical Science and Technology Program 24QNMP010the National Natural Science Foundation of China 81702286, 82304408the Research Project of Science and Technology Department of Sichuan Province 2024NSFSC1738, 2025ZNSFSC0546, 2021YJ0134the Youth Research Fund of Sichuan Tianfu Qingcheng Plan CZ2024010-5
6 · The paper itself

Abstract

backgroundThe introduction of EGFR inhibitors has revolutionized the management of NSCLC, leading to a significant extension of survival in the target patient population. Unfortunately, acquired resistance appears to be unavoidable, which restricts the use of EGFR-TKIs in the clinic. EGFRC797S represents a novel resistant mutation after treatment with the latest generation of EGFR inhibitor Osimertinib. Consequently, developing next-generation EGFR-TKIs targeting such resistant mutations is strongly demanded.

methodsOsimertinib-resistant NSCLC cell lines were constructed by transfecting EGFRdel19/T790M/C797S or EGFRL858R/T790M/C797S lentiviral plasmids into NSCLC PC-9 cells, followed by puromycin screening. The drug screening was conducted in a drug repurposing compound library provided by TargetMol. The hit compound (CZC54252) was validated by kinase inhibition, western blot, and molecular docking assays. Its role in overcoming Osimertinib resistance was further evaluated by cellular viability, proliferation, and apoptosis tests. Finally, animal studies were conducted in xenograft models to verify the anti-NSCLC effects of CZC54252 in vivo.

resultsThe cell models resistant to Osimertinib have been successfully established, and CZC54252 was screened as a hit compound that could overcome Osimertinib resistance, with IC50 values of 0.24 ± 0.06 µM and 0.27 ± 0.09 µM on PC-9del19/T790M/C797S and PC-9L858R/T790M/C797S cells, respectively, which were significantly lower than those of Osimertinib (2.1 ± 0.32 µM and 2.8 ± 0.37 µM, respectively). CZC54252 displayed potent inhibitory activity on EGFRdel19/T790M/C797S (IC50: 1.66 nM) and EGFRL858R/T790M/C797S (IC50: 2.92 nM), and significantly repressed EGFR phosphorylation in western blot assay. Additionally, the pharmacodynamics studies demonstrated that CZC54252 moderately suppressed cell proliferation and induced cell apoptosis both in vitro and in vivo. Notably, not all drug candidates targeting the same molecular pathways as CZC54252 showed activity in the screening, indicating that CZC54252 may overcome Osimertinib resistance by directly targeting EGFRC797S triple mutations rather than its original targets.

conclusionThese data indicate that CZC54252 represents a promising lead compound for overcoming Osimertinib resistance by targeting EGFRC797S, which provides a chemical basis for the development of novel fourth-generation EGFR inhibitors.

Indexed as

AcrylamidesAniline CompoundsAntineoplastic AgentsCarcinoma, Non-Small-Cell LungDrug Resistance, NeoplasmLung NeoplasmsProtein Kinase InhibitorsAnimalsApoptosisCell Line, TumorCell ProliferationCell SurvivalErbB ReceptorsFemaleHumansIndolesAcrylamidesAniline CompoundsAntineoplastic AgentsEGFR protein, humanErbB ReceptorsIndolesosimertinibProtein Kinase InhibitorsPyrimidinesCZC54252EGFRC797S mutationNon-small cell lung cancerOsimertinib resistanceRepurposing

Identifiers

PMID42021316
PMCPMC13244908

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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.