坏死性下垂
医学
免疫系统
腺癌
肺癌
生物信息学
癌症研究
计算生物学
免疫学
癌症
肿瘤科
内科学
生物
程序性细胞死亡
细胞凋亡
遗传学
作者
Chunxuan Lin,Kunpeng Lin,Xiaochun Lin,Hai Yuan,Yingying Zhang,Zhijun Xie,Yong Dai,Luhao Liu,Yoshihisa Shimada,Taichiro Goto,Katsuhiro Okuda,Taisheng Liu,Chenggong Wei
摘要
Lung adenocarcinoma (LUAD) is one of the most prevalent types of lung cancer (LC), accounting for 50% of all LC cases. Despite therapeutic advancements, patients suffer from adverse drug reactions. Furthermore, the prognosis of LC patients remains poor. Necroptosis is a novel mode of cell death and is critically involved in regulating immunotherapy in patients. However, the correlation between the necroptosis-related long non-coding RNA (lncRNA) (necro-related lnc) signature (NecroLncSig) and the response of patients with LUAD to immunotherapy is unclear. This study developed a model using lncRNAs to predict the prognosis of patients with LUAD.
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