Lung cancer remains a leading cause of cancer-related mortality worldwide, necessitating the development of innovative diagnostic approaches for early detection. This study investigates the potential of genetic analysis of cytological specimens as a non-invasive and highly sensitive method for detecting lung cancer. We collected cytological specimens from a cohort of individuals with varying levels of lung cancer risk and subjected them to comprehensive genetic analysis, including mutation profiling, gene expression analysis and DNA methylation profiling. Our findings reveal distinct genetic signatures associated with lung cancer, allowing for the development of a robust diagnostic tool. The results of this research have significant implications for the early detection and personalized treatment of lung cancer, ultimately improving patient outcomes.
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