DUSP1, BUB1 and MCM7-based endometrial cancer prognosis evaluation model and application thereof
By detecting the expression levels of BUB1, DUSP1, and MCM7 and combining them with a tumor staging and grading prognostic assessment model for endometrial cancer, the problem of existing classification models being unable to accurately predict prognosis has been solved, enabling precise assessment and individualized treatment guidance for endometrial cancer patients.
Patent Information
- Application Number
- CN202610216271.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-02-14
- Publication Date
- 2026-06-26
AI Technical Summary
Existing classification models for endometrial cancer cannot accurately predict patient prognosis, leading to overtreatment or undertreatment. Traditional pathological morphological diagnosis cannot meet the needs of modern medicine, and TCGA molecular classification faces difficulties in clinical application.
This invention provides a prognostic assessment model for endometrial cancer based on the expression levels of BUB1, DUSP1, and MCM7, including a prognostic risk scoring model and a total score model. By detecting the expression levels of these genes and combining them with tumor staging and grading data, the model calculates scores and predicts patients' recurrence-free survival and overall survival.
It enables precise prognostic assessment of endometrial cancer patients, reduces the risk of overtreatment, provides individualized treatment guidance, and improves the accuracy of prognostic prediction.