Lung cancer remains the leading cause of cancer-related mortality in China and globally, imposing a substantial disease burden on society. Although comprehensive treatment strategies centered on surgery have improved patient outcomes, and perioperative immunotherapy-particularly immune checkpoint inhibitors-has profoundly reshaped the therapeutic landscape, significant knowledge gaps and critical challenges persist in this field. These challenges include uncertain beneficiary populations, poorly understood immune mechanisms, inaccurate efficacy prediction, difficult determination of resection margins, controversial efficacy assessment, and lack of effective early warning for adverse reactions.
This study will systematically identify biomarkers for early diagnosis and recurrence monitoring through multi-omic analysis of peripheral blood immune cell subsets and non-invasive liquid biopsies; investigate the tumor immune microenvironment's role in immunotherapy response mechanisms and predict treatment efficacy via multi-omic studies of tissue specimens; develop novel AI- and radiomics-assisted pathological assessment systems and prognostic prediction models; implement perioperative symptom assessment for timely identification of immune-related adverse events (irAEs) while conducting prehabilitation training for perioperative nursing care.
