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Dataset Information

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


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-

SUBMITTER: Gan Y 

PROVIDER: S-EPMC10086889 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature