Construction of a Efficacy Stratification Prognostic and Prediction Model for Perioperative Immunotherapy in Non - Small Cell Lung Cancer Based on Multi - Omics Biomarkers
Construction of a Efficacy Stratification Prognostic and Prediction Model for Perioperative Immunotherapy in Non - Small Cell Lung Cancer Based on Multi - Omics Biomarkers
This research focuses on exploring biomarkers for the application of PD - 1/PD - L1 immune checkpoint inhibitors in the perioperative immunotherapy of lung cancer. Multi - index tests are conducted on tissues prior to treatment, as well as blood samples at baseline and during the treatment course. The goal is to identify biomarkers capable of predicting the efficacy of neoadjuvant and adjuvant immunotherapies. Additionally, by integrating these multiple - index data into models, patients are to be stratified based on their potential benefits from perioperative immunotherapy, providing personalized guidance for clinical decision - making.
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