Pyroptosis-Related LncRNA Signatures Correlate With Lung Adenocarcinoma Prognosis

Autor: Hua Huang, Zijian Shi, Yongwen Li, Guangsheng Zhu, Chen Chen, Zihe Zhang, Ruifeng Shi, Lianchun Su, Peijun Cao, Zhenhua Pan, Hongbing Zhang, Minghui Liu, Hongyu Liu, Jun Chen
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Frontiers in Oncology, Vol 12 (2022)
Druh dokumentu: article
ISSN: 2234-943X
DOI: 10.3389/fonc.2022.850943
Popis: BackgroundPyroptosis is a new type of programmed cell death, accompanied by an intense inflammatory response. Previous studies have shown that pyroptosis can modify long-chain non-coding RNA (lncRNA), thereby affecting the occurrence and progression of tumors. However, the underlying role of pyroptosis-related lncRNA in lung adenocarcinoma (LUAD) remains to be elucidated. Therefore, the purpose of our study was to evaluate the prognostic value of pyrolysis-related lncRNA in patients with LUAD.MethodsA total of 454 LUAD samples were downloaded from The Cancer Genome Atlas (TCGA) database. Pearson’s correlation coefficient was used to identify the pyroptosis-related lncRNAs. Unsupervised consensus clustering was used to identify the various LUAD molecular subtypes. A least absolute shrinkage and selection operator (LASSO) analysis was conducted to construct a prognostic signature.ResultsAn 11-lncRNA prognostic signature out of 19 identified pyroptosis-related prognostic lncRNAs was constructed. The patients with LUAD were divided into low-risk and high-risk groups. Patients in the high-risk group had higher score values and mortality. The immune score, stromal score, and estimate score were lower in the high-risk group. The risk score was an independent predictor for OS in multivariate Cox regression analyses (HR > 1, p < 0.01). BTLA, PD-1, PD-L1, CTLA, and CD47 were lower expressed in the high-risk group.ConclusionsOur study identified an 11-pyroptosis-related lncRNA signature. These findings could further clarify the role of pyroptosis in LUAD and guide the prognosis and individualized treatment of patients.
Databáze: Directory of Open Access Journals