Abstract
Endometrial cancer is one of the most common malignant tumors threatening women's health. Recently, immunity and long noncoding RNA (lncRNA) have become hot topics in oncology. Here, to search for prognostic biomarkers, immune-related lncRNAs were identified by collecting endometrial cancer samples’ information from The Cancer Genome Atlas (TCGA) database, and immune-related genes from Gene set enrichment analysis (GSEA) gene sets. These included ELN-AS1, AC103563.7, PCAT19, AF131215.5, LINC01871, AC084127.1, NRAV, SCARNA9. AL049539.1, POC1B-AS1, AC108134.4, and AC019080.5. Models based on these 12 immune-related lncRNAs were constructed. Survival analysis showed that the survival rate in the high-risk group was significantly lower than in the low-risk group. Independent prognostic analysis results showed that the patient's age, pathological grade, FIGO stage, and risk status were risk factors. Clinical correlation analysis showed that the 12 immune-related lncRNAs correlated with patients’ age, pathological grade, and FIGO stage. After principal component analysis and functional annotation, to further determine the effects of these lncRNAs on prognosis, samples were divided into training and validation groups. Multivariate Cox regression analysis of the training group showed that the patient's age, FIGO stage, and risk status were prognostic risk factors. A nomogram constructed with the risk factors was used to estimate the patient's survival rate. C-indexes were calculated and multi-index ROC curves were plotted to evaluate the accuracy and stability of the nomogram. Finally, Kaplan-Meier survival analysis showed that age, pathological grade, FIGO stage, and risk status were all related to patients’ survival. In summary, we identified 12 immune-related lncRNAs that affect the prognosis of endometrial cancer, and that may act as therapeutic targets and molecular biomarkers for the disease.