WCLC 2025 - Posters & ePosters-PT1.03.03 Drug Repurposing for Metastatic Lung Adenocarcinoma Therapy Using AI-Guided Single-Cell Gene Expression Profiles

PT1.03.03 Drug Repurposing for Metastatic Lung Adenocarcinoma Therapy Using AI-Guided Single-Cell Gene Expression Profiles

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This study, led by Maria Raquel Gomes Fernandes at São Paulo State University, explores drug repurposing as a therapeutic strategy for metastatic lung adenocarcinoma, leveraging AI-guided single-cell gene expression profiling. Metastatic lung cancer presents significant treatment challenges, prompting investigation into existing drugs that could be repurposed for more effective therapies.<br /><br />The research integrates single-cell transcriptional data from primary lung tumors, brain metastases, lymph node metastases, and adjacent normal tissues to characterize the cancer’s molecular landscape. Pathway enrichment analyses identified key biological pathways involved in metastasis at different sites, revealing critical molecular differences between primary tumors and metastatic lesions.<br /><br />Using these insights, the study pinpointed pharmacological drug classes with potential for site-specific repurposing. These drugs target molecular pathways distinct to metastases in the brain and lymph nodes, offering a precision medicine approach to metastatic lung adenocarcinoma treatment.<br /><br />The study concludes that identifying these molecular pathways and corresponding drug classes provides a promising foundation for repurposing therapies tailored to metastatic sites. The next phase involves validating these findings using in vitro organoid models to assess drug efficacy and safety.<br /><br />This approach exemplifies how single-cell transcriptomic data combined with AI can uncover novel therapeutic opportunities in metastatic cancer, potentially accelerating drug development by repurposing approved drugs. The research was conducted under guidance from experts in translational oncology and acknowledges contributions from advisors and the wider scientific community.<br /><br />Contact information and professional profiles for Maria Raquel Gomes Fernandes are provided for collaboration and further inquiries.

Asset Subtitle

Maria Raquel Fernandes

Meta Tag

Speaker Maria Raquel Fernandes

Topic Tumor Biology – Translational Biology

Keywords

drug repurposing

metastatic lung adenocarcinoma

single-cell gene expression

AI-guided profiling

molecular pathways

brain metastases

lymph node metastases

precision medicine

transcriptional data

organoid models