To Conduct Multi-omics Integrated Studies in Peripheral Blood, Such as Fragment Omics, Metabolomics and Epigenetics, and Establish Non-invasive Dynamic Follow-up Monitoring Programs During Perioperative and Postoperative Periods (Observational Study)
This project aims to innovatively integrate multi-omics data, including plasma metabolomics, radiomics, and cfDNA multi-level information, combined with survival data (e.g., RFS), to establish a novel multidimensional approach for noninvasive postoperative recurrence monitoring in lung cancer using artificial intelligence algorithms. The goal is to develop a new noninvasive recurrence monitoring system for lung cancer.
• Signed written informed consent.
• Male or female, aged ≥ 18 and \< 85 years.
• Radical resection performed, pathologic stage IB-IIIA (8th TNM) non-small-cell lung cancer.
• Tumor tissue and blood samples obtainable at all protocol-specified time-points.
• No pure ground-glass nodule on imaging.
• Completed standard neoadjuvant immunotherapy combined with platinum-based chemotherapy.