The First Clinical College, Wenzhou Medical University, Wenzhou, China.
Department of Joint Surgery, the Affiliated Hospital of Qingdao University, Qingdao, China.
Int Immunopharmacol. 2021 Mar;92:107359. doi: 10.1016/j.intimp.2020.107359. Epub 2021 Jan 16.
Immune-related genes (IRGs) are associated with the prognosis of different cancers and are helpful for the diagnosis and management of systematic treatment for cancer patients. However, there have been a few corresponding studies in pancreatic adenocarcinoma (PAAD).
The data of PAAD patients were obtained from the TCGA, GEO, and ICGC databases. Additionally, the expression profiles of the normal pancreas from the GTEx database were used to screen differentially expressed immune-related genes (DEIRGs). Cox regression analyses were used to explore overall survival (OS)- and progression-free survival (PFS)-related DEIRGs and to establish two nomograms for PAAD prognosis. Finally, transcription factor (TF), immune infiltration, and unsupervised consensus analyses were performed to understand the potential mechanisms.
An OS-prognostic signature based on seven DEIRGs and a PFS-prognostic signature based on seven DEIRGs were generated, and their robust prognostic ability was confirmed by ROC curves (OS: 0.736 ~ 0.774, PFS: 0.732 ~ 0.840). According to the risk score, the OS and PFS of the high-risk group were poorer than those of the low-risk group in the training set and four external validation sets. In addition, two nomograms based on the signatures and clinical variables also showed excellent discrimination. And two hub regulatory pathways were successfully validated in several independent datasets. Discernable patterns of DEIRGs in unsupervised consensus analysis showed that patients with low expression of immune checkpoints had a favorable prognosis.
Two DEIRG-based signatures can be used as independent tools for the prognostic prediction of PAAD and to provide potential novel immunotherapy targets.
免疫相关基因(IRGs)与不同癌症的预后相关,有助于癌症患者的系统治疗的诊断和管理。然而,在胰腺腺癌(PAAD)中,相应的研究还很少。
从 TCGA、GEO 和 ICGC 数据库中获取 PAAD 患者的数据。此外,还使用 GTEx 数据库中的正常胰腺表达谱筛选差异表达的免疫相关基因(DEIRGs)。Cox 回归分析用于探索与总生存期(OS)和无进展生存期(PFS)相关的 DEIRGs,并建立用于 PAAD 预后的两个列线图。最后,进行转录因子(TF)、免疫浸润和无监督共识分析,以了解潜在的机制。
生成了一个基于七个 DEIRGs 的 OS 预后特征和一个基于七个 DEIRGs 的 PFS 预后特征,ROC 曲线(OS:0.7360.774,PFS:0.7320.840)验证了其稳健的预后能力。根据风险评分,在训练集和四个外部验证集中,高风险组的 OS 和 PFS 均比低风险组差。此外,基于特征和临床变量的两个列线图也表现出优异的区分能力。在几个独立的数据集中成功验证了两个核心调控途径。无监督共识分析中 DEIRGs 的可分辨模式表明,免疫检查点低表达的患者预后良好。
两个基于 DEIRG 的特征可以作为 PAAD 预后预测的独立工具,并为潜在的新免疫治疗靶点提供依据。