Construction of a Prognostic Immune-Related LncRNA Risk Model for Gastric Cancer

Wei Ding; Pengcheng Sun; Yulin Tan; Huaji Jiang; Cheng Xi; Ling Zhuang; Yixin Xu; Xuezhong Xu

doi:10.1155/2022/5137627

Construction of a Prognostic Immune-Related LncRNA Risk Model for Gastric Cancer

J Oncol. 2022 Jun 25:2022:5137627. doi: 10.1155/2022/5137627. eCollection 2022.

Authors

Wei Ding^{1

2}, Pengcheng Sun³, Yulin Tan^{1

2}, Huaji Jiang^{1

2}, Cheng Xi^{1

2}, Ling Zhuang^{1

2}, Yixin Xu^{1

2}, Xuezhong Xu^{1

2}

Affiliations

¹ Department of General Surgery, Wujin Hospital Affiliated to Jiangsu University, Changzhou 213017, China.
² Department of General Surgery, The Wujin Clinical College of Xuzhou Medical University, Changzhou 213017, China.
³ Department of Oncology, The Third Affiliated Hospital of Soochow University, Changzhou 213001, China.

Abstract

Gastric cancer (GC) is one of the most common malignancies, and novel prognostic biomarkers for it are urgently required. This study is aimed at screening a group of immune-related lncRNAs (IRLs) in predicting the prognosis of GC patients. Genetic and clinical information from the 360 GC patients was included in this study. Eight IRLs in lncRNA-miRNA-mRNA network were screened out according to differential expression analysis. A novel risk score model with three IRLs (MIR4435-1HG, UCA1, and RP11-617F23.1) were identified, and patients were assigned to a high-risk group and a low-risk group. Patients in the low-risk group had a better prognosis. In addition, two nomograms were developed to predict the prognosis of GC. We evaluated the correlation between IRLs and the immune infiltration level of GC using TIMER. Furthermore, we verified that RP11-617F23.1 was significantly upregulated in human GC tissues compared with their adjacent tissues. And, patients with high RP11-617F23.1 expression in tumor tissues had poorer survival. In conclusion, we established a novel risk model based on IRLs for predicting the prognosis of GC. Meanwhile, a novel IRL, RP11-617F23.1, could serve as a predictor of prognosis for patients with GC.