Qinyang Xu1, Qin Yang2, Yang Zhou1, Bikang Yang1, Rongzhen Jiang1, Zhihong Ai1, Yincheng Teng1. 1. Department of Gynecology and Obstetrics, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. 2. State Key Laboratory for Oncogenes and Related Genes, Shanghai Cancer Institute, Shanghai Jiao Tong University, Shanghai, China.
Abstract
PURPOSE: The dysregulation of long noncoding RNAs (lncRNAs) has been reported to be correlated to carcinogenesis and cancer progression. Endometrial cancer (EC), arising from the endometrium or the inner lining of the uterus, is one of the most common gynecological malignancies. We aim to explore the prognostic value of the lncRNAs in patients with endometrioid endometrial cancer (EEC) and to identify the potential lncRNA signature for predicting survival of patients with EEC. METHODS: We performed a genome-wide analysis of the lncRNA expression profiling in The Cancer Genome Atlas (TCGA)-Uterine Corpus Endometrial Carcinoma database (408 EEC) to identify the prognosis related lncRNAs for the EEC. The patients with EEC were randomly divided into a training set (204 for endometrioid) and a testing set (204 for endometrioid). The lncRNA signature was identified in the training set, and then independently validated in the testing set and the complete set (training set plus testing set). RESULTS: We developed a nine-lncRNA signature-based risk score in the patients with EEC. The risk score based on the novel lncRNAs signature was able to separate patients of training set into high-and low-risk groups with significantly different overall survival and progression-free survival. These can also be successfully confirmed in the testing set and complete set. CONCLUSION: A nine-lncRNA expression signature was identified and validated which can predict EEC patient's survival. These findings may have important implications in the understanding of the potential therapeutic methods for patients with EEC.
PURPOSE: The dysregulation of long noncoding RNAs (lncRNAs) has been reported to be correlated to carcinogenesis and cancer progression. Endometrial cancer (EC), arising from the endometrium or the inner lining of the uterus, is one of the most common gynecological malignancies. We aim to explore the prognostic value of the lncRNAs in patients with endometrioid endometrial cancer (EEC) and to identify the potential lncRNA signature for predicting survival of patients with EEC. METHODS: We performed a genome-wide analysis of the lncRNA expression profiling in The Cancer Genome Atlas (TCGA)-Uterine Corpus Endometrial Carcinoma database (408 EEC) to identify the prognosis related lncRNAs for the EEC. The patients with EEC were randomly divided into a training set (204 for endometrioid) and a testing set (204 for endometrioid). The lncRNA signature was identified in the training set, and then independently validated in the testing set and the complete set (training set plus testing set). RESULTS: We developed a nine-lncRNA signature-based risk score in the patients with EEC. The risk score based on the novel lncRNAs signature was able to separate patients of training set into high-and low-risk groups with significantly different overall survival and progression-free survival. These can also be successfully confirmed in the testing set and complete set. CONCLUSION: A nine-lncRNA expression signature was identified and validated which can predict EEC patient's survival. These findings may have important implications in the understanding of the potential therapeutic methods for patients with EEC.