A novel pyroptosis-related lncRNA signature for prognostic prediction in patients with lung adenocarcinoma

Bioengineered

Yuanyuan Sun¹  Jiahang Song²  Zhengcheng Liu³  Lei Xi³  Hui Cao³  Ye Shi³  Rusong Yang³  Changqing Dong³ 

[1] Department of Radiation Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, Chin;Department of Thoracic Surgery, Nanjing Chest Hospital, Nanjing, Jiangsu, Chin;Department of Radiation Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, Chin;Department of Thoracic Surgery, Nanjing Chest Hospital, Nanjing, Jiangsu, Chin;Department of Thoracic Surgery, The Affiliated Nanjing Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, Chin;Department of Thoracic Surgery, Nanjing Chest Hospital, The Affiliated Nanjing Brain hospital of Nanjing Medical University, and The Pulmonary Nodule Diagnosis and Treatment Research Center of Nanjing Medical University, Nanjing, Jiangsu, Chin;

关键词: Lung adenocarcinoma;    pyroptosis;    lncRNA;    bioinformatics;    prognostic signature;    TCGA;   

DOI  :  10.1080/21655979.2021.1972078

来源: Taylor & Francis

【 摘 要 】

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.

【 授权许可】

CC BY