Leveraging Acquired EGFR-TKI-Resistant Models to Identify MUC16 as a Therapeutic Vulnerability in Lung Adenocarcinoma
Yinhua Tan, Chunxiu Xiao, Zhifan Wang, Yuhang Kong, Yamei Huang, Zhichang Liu, Qiang Wu, Chenyu Wu, Manyu Zhao, Jingyao Chen, Kai Xiao

TL;DR
This study identifies MUC16 as a new target for treating drug-resistant lung cancer by using resistant cancer models and confirming its role in poor patient outcomes.
Contribution
The study introduces MUC16 as a novel therapeutic vulnerability in EGFR-TKI-resistant lung adenocarcinoma, validated both functionally and clinically.
Findings
MUC16 is consistently upregulated in acquired EGFR-TKI-resistant models of lung adenocarcinoma.
Depletion of MUC16 re-sensitizes resistant cancer models to EGFR-TKIs.
High MUC16 expression correlates with worse clinical outcomes in patients.
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…
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Taxonomy
TopicsLung Cancer Treatments and Mutations · HER2/EGFR in Cancer Research · Lung Cancer Research Studies
