Leveraging Acquired EGFR-TKI-Resistant Models to Identify MUC16 as a Therapeutic Vulnerability in Lung Adenocarcinoma
Year: 2025
Type: article
Abstract: Background/Objectives: Acquired resistance to epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitors (TKIs) remains a major challenge in the treatment of EGFR-mutant lung adenocarcinoma (LUAD). This study aimed to develop and characterize representative models of acquired EGFR-TKI resistance and to identify potential therapeutic targets mediating this process. Methods: Resistant models of PC9 and LUAD-PDCs were generated using a standardized dose-escalation protocol. The resulting models were characterized by drug response assays, morphology, and transcriptomic sequencing. Candidate target genes were validated across all resistant models using siRNA knockdown followed by re-sensitization assays. Clinical relevance was further examined through analysis of publicly available datasets. Results: These generated models displayed stable resistant phenotypes and unique transcriptomic alterations. Cross-model analysis revealed MUC16 as a consistently upregulated gene associated with resistance. Functional validation demonstrated that MUC16 depletion re-sensitized all resistant models to EGFR-TKIs. Furthermore, analysis of clinical data linked high MUC16 expression to poorer patient outcomes. Conclusions: This study establishes stable in vitro models for investigating acquired resistance in EGFR-mutant LUAD and identifies MUC16 as a functionally validated and clinically relevant mediator of EGFR-TKI resistance, providing a potential therapeutic target for overcoming drug resistance.
Source: Pharmaceuticals
DOI: 10.3390/ph19010047
Authors: Yinhua Tan, Chunxiu Xiao, Zhifan Wang, Yuhang Kong, Yamei Huang, Zhichang Liu, Qiang Wu, Chenyu Wu, Manyu Zhao, Jingyao Chen, Kai Xiao
Language: English
Subfield: Pulmonary and Respiratory Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,499
OpenAlex ID: W7117306360
