Advancing predictive markers in lung adenocarcinoma: A machine learning‐based immunotherapy prognostic prediction signature
Zhongyan Li,
Shengbin Pei,
Yanjuan Wang
et al.
Abstract:The prognosis of lung adenocarcinoma (LUAD) is generally poor. Immunotherapy has emerged as a promising therapeutic modality, demonstrating remarkable potential for substantially prolonging the overall survival of individuals afflicted with LUAD. However, there is currently a lack of reliable signatures for identifying patients who would benefit from immunotherapy. We conducted a comparative analysis of two immunotherapy cohorts (OAK and POPLAR) and utilized single‐factor COX regression to identify genes that … Show more
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