The role of immunogenic cell death in the prognosis and development of treatment strategies for non-small cell lung cancer: a multiomics and machine learning approach for predictive and personalized treatment

Abstract Background: Non-small cell lung cancer (NSCLC) is the predominant histological subtype of lung cancer, whose diverse genomic landscape complicates prognosis and outcome prediction. In this context, immunogenic cell death (ICD), a distinct mechanism of cell death, may exert important antitumor effects. However, the specific role of ICD in NSCLC has not been clarified, and there is no suitable method for using ICD to achieve the treatment and prognosis assessment of NSCLC. The purpose of the current research is to