Background: The aim of this study was to screen and identify immunoautophagy-related genes (IARGs) in HCC patients and clarify their potential prognostic value in HCC patients.
Methods: Immune-related genes and autophagy-related gene were downloaded from public databases. Cox regression analysis was used to selected several immunoautophagy-related genes to establish a prognostic model, and patients were divided into high- and low-risk groups based on median risk score. We analyzed the overall survival and clinicopathological characteristics between two groups. Meanwhile, internal validation dataset and external ICGC dataset were used to verify robustness of the model. Associations between six immune cells infiltrates and risk score were analyzed.
Results: A prognostic model was established based on CANX and HDAC1. The prognoses of the high-risk group were worse than low-risk group in both TCGA and ICGC datasets. Multivariate Cox regression analysis showed that risk score was an independent prognostic factor for HCC patients. Results showed that the risk score in young group was higher than elderly group. Patients with poorly differentiated tumor may have high risk score and poor survival. The score was positively correlated with immune cells.
Conclusion: Our study shows that immunoautophagy-related genes have potential prognostic value for patients with HCC and may provide new information and direction for targeted therapy.



中文翻译：

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基于免疫自噬相关基因和肿瘤微环境的肝细胞癌预后模型构建

背景：本研究的目的是筛选和鉴定 HCC 患者中的免疫自噬相关基因 (IARG)，并阐明它们在 HCC 患者中的潜在预后价值。
方法：从公共数据库下载免疫相关基因和自噬相关基因。采用 Cox 回归分析选取若干免疫自噬相关基因建立预后模型，根据中位风险评分将患者分为高危组和低危组。我们分析了两组之间的总生存期和临床病理学特征。同时，使用内部验证数据集和外部ICGC数据集来验证模型的稳健性。分析了六种免疫细胞浸润与风险评分之间的关​​联。
结果：基于CANX和HDAC1建立预后模型。在 TCGA 和 ICGC 数据集中，高风险组的预后比低风险组差。多变量 Cox 回归分析显示，风险评分是 HCC 患者的独立预后因素。结果显示，年轻组的风险评分高于老年组。低分化肿瘤患者可能具有高风险评分和较差的生存率。该评分与免疫细胞呈正相关。
结论：我们的研究表明，免疫自噬相关基因对HCC患者具有潜在的预后价值，可能为靶向治疗提供新的信息和方向。