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, Wenhao Wei

Journal Name: Combinatorial Chemistry & High Throughput Screening
Accelerated Technologies for Biotechnology, Bioassays, Medicinal Chemistry and Natural Products Research

Volume 24 , Issue 2 , 2021

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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).

Methods: 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 perform 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 the 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.

Conclusion: 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.

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Article Details

VOLUME: 24
ISSUE: 2
Year: 2021
Published on: 11 February, 2021
Page: [187 - 194]
Pages: 8
DOI: 10.2174/1386207323999200730211227
Price: $65

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