Archive | 2021
Construction and Validation of an Immune-related lncRNA Prognosis Model in Thyroid Cancer
Abstract
\n Background A growing number of studies have shown that immune-related long non-coding RNAs (lncRNAs) play an important role in the development of cancer. The aim of this study was to identify immune-related lncRNAs in thyroid cancer (THCA) and to develop a prognostic model for THCA. Methods We downloaded immune-associated gene sets from the Gene Set Enrichment Analysis (GSEA) website and obtained THCA gene expression and clinical data from The Cancer Genome Atlas (TCGA) database. Immune-related lncRNAs were then obtained by performing a correlation analysis of the expression of lncRNAs and immune-related genes. Prognostic models for THCA immune-related lncRNAs were developed by univariate Cox regression and multiple Cox regression analysis. We confirmed the results in clinical samples using quantitative reverse transcription polymerase chain reaction (qRT-PCR).Results26 immune-related lncRNAs in THCA were obtained. Then we constructed a prognosis model composed of 7 lncRNAs (LINC01614, AC017074.1, LINC01184, LINC00667, ACVR2B-AS1, AC090673.1, LINC00900). Our model could be used as an independent prognostic factor. Principal component analysis displayed that the lncRNAs in the model can distinguish between high-risk and low-risk groups. Clinical correlation analysis showed that the expression levels of AC090673.1 (P<0.05), LINC01184 (P<0.001), LINC01614 (P<0.001) were related to disease stage, LINC00900 (P<0.001), LINC01614 (P<0.001) were related to the T stage of THCA. We validated this model in the cancer and paracancerous tissues from 24 THCA patients.ConclusionsWe identified seven immune-related lncRNAs as potential biomarkers for the prognosis of THCA.