Integrated Analysis of a Competing Endogenous RNA Network Revealing a Prognostic Signature for Cervical Cancer

Frontiers in Oncology

Li Li¹  Shengyun Cai¹  Mingjuan Xu¹  Jiuqiong Yan¹  Leilei Xia¹  Qi Meng¹  Yu Chen¹  Caihong Zhang¹  Jizi Shen¹  Xiaoling Su²  Han Wang³ 

[1]Department of Obstetrics and Gynecology, Changhai Hospital, Second Military Medical University, Shanghai, China

[2]Department of Obstetrics and Gynecology, No. 455 Hospital, Shanghai, China

[3]Department of Pathology, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, Shanghai, China

关键词: cervical cancer;    ceRNA network;    prognostic factor;    FASN;    ERG;   

DOI  :  10.3389/fonc.2018.00368

来源: DOAJ

【 摘 要 】

Given the high morbidity and the trend of younger individuals being affected observed in cervical cancer, it is important to identify sensitive and effective biomarkers for predicting the survival outcome of patients. Based on data from 307 cervical cancer cases acquired from The Cancer Genome Atlas portal, 1920 differentially expressed mRNAs, 70 microRNAs(miRNAs), and 493 long non-coding(lncRNAs) were screened by comparing cervical cancer tissues with paracancerous tissues. A competing endogenous (ceRNA) network containing 50 lncRNAs, 16 miRNAs, and 81 mRNAs was constructed. Eighteen RNAs, comprising 13 mRNAs, 2 miRNAs, and 3 lncRNAs, were identified as significant prognostic factors by univariate Cox proportional hazards regression. ETS-related gene and fatty acid synthase signatures were discovered using a multivariate Cox regression model built to identify independent prognostic factors in cervical cancer patients. Receiver operating characteristic (ROC) analysis was used to determine the optimal cut-off value for distinguishing the risk level of cervical cancer patients. High-risk patients exhibited a poorer prognosis than low-risk patients did. This study focused on ceRNA networks to provide a novel perspective and insight into cervical cancer and suggested that the identified signature can serve as an independent prognostic biomarker in cervical cancer.

【 授权许可】

Unknown