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A five-microRNA signature as risk stratification system in uterine corpus endometrial carcinoma

Author(s):

Zhichao Chen, Xiaoyuan Huang, Yufeng Lv*, Yuan Fang, Lili Pan, Zuhuan Gan, Zhong Huang and Wenhao Wei  

Abstract:


Background: MicroRNAs (miRs) have been shown to play important roles in various cancers and may be a reliable prognostic marker. However, its prognostic value in endometrial carcinoma (UCEC) needs to be further explored.

Objectives: The aim of this study was to create a miR-based signature to effectively predict the prognosis for patients with uterine corpus endometrial carcinoma (UCEC).

Method: Using UCEC data set in TCGA, we identified differentially expressed miRs between UCEC and healthy endometrial tissues. The LASSO method was used to construct a miR-based signature prognosis index for predicting prognosis in the training cohort. The miR-based signature prognosis index was validated in an independent test cohort. MiRNet tool was applied to performed functional enrichment analysis of this miR-based signature.

Results: A total of 208 miRs were differentially expressed between UCEC and healthy endometrial tissues. Five miRs (miR-652, miR-3170, miR-195, miR-34a, and miR-934) were identified to generate a prognosis index (PI). The five-miR signature is a promising biomarker for predicting 5-year-survival rate of UCEC with AUC = 0.730. The PI remained an independent prognostic factor adjusted by routine clinicopathologic factors. Using the PI, we could successfully identify the high-risk individuals, furthermore, it still worked in an independent test cohort. The five miRs involved in various pathways associated with cancer.

Conclusions: We proposed and validated a five-miR signature that could serve as an independent prognostic predictor of UCECs.

Keywords:

Uterine corpus endometrial carcinoma, Gynaecology tumor, microRNA signature, Prognosis, Risk stratification system, TCGA

Affiliation:

Department of Oncology, Langdong Hospital of Guangxi Medical University, 60 North Jinhu Road, Nanning 530029, Guangxi Zhuang Autonomous Region, Department of Oncology, Langdong Hospital of Guangxi Medical University, 60 North Jinhu Road, Nanning 530029, Guangxi Zhuang Autonomous Region, Department of Oncology, Langdong Hospital of Guangxi Medical University, 60 North Jinhu Road, Nanning 530029, Guangxi Zhuang Autonomous Region, Department of Oncology, Langdong Hospital of Guangxi Medical University, 60 North Jinhu Road, Nanning 530029, Guangxi Zhuang Autonomous Region, Department of Oncology, Langdong Hospital of Guangxi Medical University, 60 North Jinhu Road, Nanning 530029, Guangxi Zhuang Autonomous Region, Department of Oncology, Langdong Hospital of Guangxi Medical University, 60 North Jinhu Road, Nanning 530029, Guangxi Zhuang Autonomous Region, Department of Oncology, Langdong Hospital of Guangxi Medical University, 60 North Jinhu Road, Nanning 530029, Guangxi Zhuang Autonomous Region, Department of Oncology, Langdong Hospital of Guangxi Medical University, 60 North Jinhu Road, Nanning 530029, Guangxi Zhuang Autonomous Region



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