Bioinformatics analysis of an immunotherapy responsiveness-related gene signature in predicting lung adenocarcinoma prognosis
Yupeng JiangBacha HammadHong HuangChenzi ZhangBing XiaoLinxia LiuQimi LiuHengxing LiangZhenyu ZhaoYawen Gao
Abstract
The model we established in the present study could predict the prognosis of LUAD patients, help to identify patients with good responses to anticancer drugs and immunotherapy, and serve as a valuable tool to guide clinical decision-making.
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