Identification of LncRNA Prognostic Biomarkers Associated with Copy Number Variants in Gastric Cancer

Abstract Backgrounds: Gastric cancer is one of the most common gastrointestinal carcinomas worldwide, with a poor prognosis. Prognosis prediction is very important in the treatment of gastric cancer .This study aimed to explore the prognostic value of lncRNA deregulated by copy number variants (CNVs) in gastric cancer. Methods: Multi-omics cluster analysis was performed to identify subtypes on the prognosis associated coding genes, CNVs and methylation sites. We conducted survival analyses on median expression level for all identified lncRNAs. Finally, we constructed and validated a prognostic model on lncRNAs with data of public and our center. Results: As a result, we identified six subtypes of gastric cancer with different prognosis (P=0.00446) and a total of 83 disease associated lncRNAs. We finally obtained five prognostic lncRNA biomarkers. Survival analyses showed that the high expression of all identified lncRNAs positive associated with worse prognosis. We also found that the prognostic model on five identified lncRNAs could predict survival with high 5-years AUC 0.69. And the differences of survival between high risk and low risk groups were significant in both of our and public database. In the multivariable analyses, we found that the prognostic model was an independent prognostic factor (p = 0.0104).Conclusions: We concluded that the prognostic model on five identified lncRNAs was closely related to the overall survival of gastric cancer and may serve as promising prognostic biomarkers of gastric cancer.