Background: Uterine corpus endometrial carcinoma (UCEC) is the third most prevalent female reproductive system malignant tumor with poor prognosis, particularly at advanced stage. On the other hand, recent studies have reported the prognostic role of long non-coding RNAs (lncRNAs) in UCEC. The aim of this study was to determine the immune-related lncRNA signature for predicting overall survival (OS) in UCEC patients.
Methods: The genomic data and clinical information of UCEC patients were extracted from the Cancer Genome Atlas. Pearson’s correlation analysis was carried out to identify the immune-related lncRNAs. Univariate and multivariate Cox regression analyses were conducted to obtain the prognostic lncRNAs from the immune-related lncRNAs for the construction of the prognostic signature. Afterwards, the UCEC patients were divided into high-risk and low-risk groups. The prognostic value of the signature was assessed by survival, receiver operating characteristic (ROC), and nomogram analyses. Finally, the immune status for high-risk and low-risk groups was evaluated by the ESTIMATE algorithm.
Results: A total of 13 immune-related lncRNAs (AC108860.2, AC015849.5, AL592494.3, LINC01234, U91319.1, AC092969.1, AL356133.2, AC103563.2, AL138962.1, AC138965.1, LINC01687, AC091987.1, and MIR7-3HG) were finally identified for the construction of the prognostic signature. Patients in the high-risk group had worse prognosis than those in the low-risk group. The prognostic signature was confirmed as an independent prognostic factor through the multivariate Cox regression analysis. The nomogram based on the prognostic signature and clinicopathologic features was constructed with a superior overall predictive power to evaluate the survival outcomes in UCEC patients. Finally, according to the ESTIMATE algorithm results, we discovered different immune statuses in the low-risk and high-risk groups.
Conclusions: The immune-related lncRNA signature for the assessment of the OS of UCEC patients had a good practical value.