A miRNA-205-based model for prediction of the recurrence of endometrioid endometrial cancer

Yaping Gan; Weifeng Feng; Liben Xu; Xinwei Guo; Yan Wang; Zhifu Chen; Lihua Zhu; Chaoyang Wu; Yingxia Ning

A miRNA-205-based model for prediction of the recurrence of endometrioid endometrial cancer

Am J Transl Res. 2023 Mar 15;15(3):1990-1995. eCollection 2023.

Authors

Yaping Gan^{1

2}, Weifeng Feng³, Liben Xu⁴, Xinwei Guo⁵, Yan Wang⁴, Zhifu Chen^{1

4}, Lihua Zhu⁴, Chaoyang Wu⁴, Yingxia Ning¹

Affiliations

¹ Department of Gynaecology and Obstetrics, The First Affiliated Hospital of Jinan University Guangzhou 510632, Guangdong, China.
² Department of Gynaecology and Obstetrics, The First Affiliated Hospital of Guangzhou Medical University Guangzhou 510632, Guangdong, China.
³ Department of Traditional Chinese Medicine, The First Affiliated Hospital of Guangzhou Medical University Guangzhou 510632, Guangdong, China.
⁴ Department of Radiotherapy, Jiangsu University Affiliated People's Hospital Zhenjiang 212000, Jiangsu, China.
⁵ Department of Radiotherapy, Yangzhou University Affiliated Taixing People's Hospital Taixing 225400, Jiangsu, China.

PMID: 37056852
PMCID: PMC10086889

Abstract

Aim: To develop a miRNA-205 based model for prediction of the recurrence of endometrial cancer.

Methods: The FIGO (International Federation of Gynecology and Obstetrics) stage, grading, myometrial infiltration, lymph node status and miRNA-205 expression levels were extracted from 90 endometrioid endometrial cancer patients, recurrence related risk factors were analyzed by Cox regression analysis. A risk model was then developed.

Results: A total of 90 endometrial cancer patients were retrospectively included for the analysis. The FIGO stage and expression levels of miRNA 205 were independently associated with the recurrence-free survival of the patients. The FIGO stage and expression levels of miRNA 205 were used for a prognostic model of recurrence-free survival. The c-index of the model reached 0.764, and the output of the model (risk score) could stratify the patients into different groups on the risk of recurrence.

Conclusion: A miRNA-205 based model could predict the risk of recurrence for endometrioid endometrial cancer, and the model could provide a risk stratification of patients by recurrence risk.

Keywords: Endometrioid endometrial cancer; miRNA-205; recurrence; risk score.