Yanlu Xiong, Yongfu Ma, Kun Liu, Jie Lei, Jinbo Zhao, Jianfei Zhu, Wenchen Wang, Miaomiao Wen, Xuejiao Wang, Ying Sun, Yabo Zhao, Yong Han, Tao Jiang, Yang Liu
OBJECTIVE: We aim to molecularly stratify stage IA lung adenocarcinoma (LUAD) for precision medicine. METHODS: Twelve multi-institution datasets (837 cases of IA) were used to classify the high- and low-risk types (based on survival status within 5 years), and the biological differences were compared. Then, a gene-based classifying score (IA score) was trained, tested and validated by several machine learning methods. Furthermore, we estimated the significance of the IA score in the prognostic assessment, chemotherapy prediction and risk stratification of stage IA LUAD...
January 4, 2024: Respiratory Research