Immune Mechanism and Therapy of Major Diseases of Luzhou Key Laboratory, Public Center of Experimental Technology, School of Basic Medical Sciences, Southwest Medical University, Luzhou 646000, China.
Clinical Medical College, Southwest Medical University, Luzhou 646000, China.
Genes (Basel). 2023 Jan 2;14(1):124. doi: 10.3390/genes14010124.
Pancreatic adenocarcinoma (PAAD) is a common, highly malignant, and aggressive gastrointestinal tumor. The conventional treatment of PAAD shows poor results, and patients have poor prognosis. The synthesis and degradation of proteins are essential for the occurrence and development of tumors. Aggrephagy is a type of autophagy that selectively degrades aggregated proteins. It decreases the formation of aggregates by degrading proteins, thus reducing the harm to cells. By breaking down proteins, it decreases the formation of aggregates; thus, minimizing damage to cells. For evaluating the response to immunotherapy and prognosis in PAAD patients, in this study, we developed a reliable signature based on aggrephagy-related genes (ARGs). We obtained 298 AGGLncRNAs. Based on the results of one-way Cox and LASSO analyses, the lncRNA signature was constructed. In the risk model, the prognosis of patients in the low-risk group was noticeably better than that of the patients in the high-risk group. Additionally, the ROC curves and nomograms validated the capacity of the risk model to predict the prognosis of PAAD. The patients in the low-risk and high-risk groups showed considerable variations in functional enrichment and immunological analysis. Regarding drug sensitivity, the low-risk and high-risk groups had different half-maximal inhibitory concentrations (IC50).
胰腺导管腺癌(PAAD)是一种常见的、高度恶性和侵袭性的胃肠道肿瘤。PAAD 的传统治疗效果不佳,患者预后较差。蛋白质的合成和降解对于肿瘤的发生和发展至关重要。聚集体自噬是一种选择性降解聚集蛋白的自噬类型。通过降解蛋白质,减少聚集体的形成,从而减轻对细胞的伤害。通过分解蛋白质,减少聚集体的形成,从而最大限度地减少对细胞的损伤。为了评估 PAAD 患者对免疫治疗的反应和预后,在这项研究中,我们基于聚集体相关基因(ARGs)开发了一个可靠的签名。我们获得了 298 个 AGGLncRNAs。基于单向 Cox 和 LASSO 分析的结果,构建了 lncRNA 签名。在风险模型中,低风险组患者的预后明显好于高风险组患者。此外,ROC 曲线和列线图验证了风险模型预测 PAAD 预后的能力。低风险和高风险组患者在功能富集和免疫分析方面存在显著差异。在药物敏感性方面,低风险和高风险组的半数最大抑制浓度(IC50)不同。