Department of Thoracic Surgery, Nanjing Chest Hospital, Nanjing, Jiangsu, China.
Department of Radiation Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Bioengineered. 2021 Dec;12(1):5932-5949. doi: 10.1080/21655979.2021.1972078.
Lung adenocarcinoma (LUAD) has been the major cause of tumor-associated mortality in recent years and has a poor prognosis. Pyroptosis is regulated via the activation of inflammasomes and participates in tumorigenesis. However, the effects of pyroptosis-related lncRNAs (PRlncRNAs) on LUAD have not yet been completely elucidated. Therefore, we attempted to systematically explore patterns of cell pyroptosis to establish a novel signature for predicting LUAD survival. Based on TCGA database, we set up a prognostic model by incorporating PRlncRNAs with differential expression using Cox regression and LASSO regression. Kaplan-Meier analysis was conducted to compare the survival of LUAD patients. We further simplified the risk model and created a nomogram to enhance the prediction of LUAD prognosis. Altogether, 84 PRlncRNAs with differential expression were discovered. Subsequently, a new risk model was constructed based on five PRlncRNAs, GSEC, FAM83A-AS1, AL606489.1, AL034397.3 and AC010980.2. The proposed signature exhibited good performance in prognostic prediction and was related to immunocyte infiltration. The nomogram exactly forecasted the overall survival of patients and had excellent clinical utility. In the present study, the five-lncRNA prognostic risk signature and nomogram are trustworthy and effective indicators for predicting the prognosis of LUAD.
肺腺癌 (LUAD) 近年来一直是肿瘤相关死亡的主要原因,预后较差。细胞焦亡是通过炎性小体的激活来调节的,并参与肿瘤的发生。然而,细胞焦亡相关长链非编码 RNA(PRlncRNAs)对 LUAD 的影响尚未完全阐明。因此,我们试图系统地探索细胞焦亡的模式,建立一种新的预测 LUAD 生存的特征。基于 TCGA 数据库,我们通过 Cox 回归和 LASSO 回归纳入差异表达的 PRlncRNAs 构建了一个预后模型。Kaplan-Meier 分析用于比较 LUAD 患者的生存情况。我们进一步简化了风险模型,并创建了一个列线图,以增强对 LUAD 预后的预测。总共发现了 84 个差异表达的 PRlncRNAs。随后,基于五个 PRlncRNAs(GSEC、FAM83A-AS1、AL606489.1、AL034397.3 和 AC010980.2)构建了一个新的风险模型。该特征在预后预测中表现出良好的性能,并且与免疫细胞浸润有关。列线图准确预测了患者的总生存期,具有良好的临床实用性。在本研究中,该五-lncRNA 预后风险特征和列线图是预测 LUAD 预后的可靠且有效的指标。