Prognostic value of different radiation-related cell death genes in patients with lung adenocarcinoma
Radiotherapy and Oncology(2024)
摘要
Background and aims
Radiotherapy is widely applied for lung adenocarcinoma (LUAD), while Individualized differences led to different outcomes. This study aimed to establish a multi -gene risk scoring model to predict the benefits of LUAD patients from radiotherapy, based on different types of cell death respectively.
Results
Other than autophagy, pyroptosis, ferroptosis and Immunogenic cell death (ICD), the LUAD prognostic model based on apoptosis had the best performance, and the area under curves (AUCs) of the receiver operating curve (ROC) for 1-, 3-, and 5-year OS were 0.700,0.736,0.723,respectively. Such genes were involved as SLC7A5, EXO1, ABAT, NLRP1 and GAR1. Then patients were divided into high and low risk groups by the median apoptosis-LUAD risk score. For patients in the high-risk group, i.e., the radiotherapy-tolerant group, we screened adjuvant chemotherapy and found that besides the conventional first-line chemotherapy regimen, drugs such as fludarabine, Pevonedistat, and Podophyllotoxin bromide may also have potential therapeutic value.
Conclusion
The multi -gene risk scoring model based on apoptosis might predict radiotherapy benefits of LUAD patients and for those radioresistant patients classified by the model we also provided effective adjuvant chemicals, which would be used to guide clinical treatment.
更多查看译文
关键词
Lung adenocarcinoma,Ionizing radiation,Multi-gene risk model,Cell death,Prognosis,Machine learning
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要