The goal of this study is to develop new techniques for minimal residual disease(MRD) monitoring and to confirm the efficacy and safety of MRD-guided postoperative management for early stage non-small cell lung cancer. The main questions this study aims to answer are: * How to develop multi-omics-based high-sensitivity detection methods to accurately capture MRD and monitor postoperative recurrence in lung cancer? * Is adaptive treatment guided by ctDNA-MRD for lung cancer patients superior to traditional clinical management and effectively improves survival? * Do heterogeneous patient populations (grouped by stages, histopathological subtypes, driver mutations, and treatment histories) show differences in effects under ctDNA-MRD guided postoperative management strategies?