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[Using Immunohistochemical Markers and Clinicopathological Factors to Predict the Prognostic Survival of Different Types of Endometrial Cancer Recurrence]
- Source :
- Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition. 52(3)
- Publication Year :
- 2021
-
Abstract
- To probe for factors that can be used effectively to predict the prognostic survival of patients with endometrial cancer recurrence.The clinicopathological data of 473 patients with stage Ⅰ to Ⅲ endometrial cancer who underwent standard surgical treatment from October 2013 to May 2019 were retrospectively collected, and post-operative recurrence of the patients were followed up. Overall recurrence includes local recurrence and poor prognosis recurrence. The endpoint indicators of this study are the recurrence-free survival (RFS) and overall survival (OS) of patients with overall recurrence, local recurrence, and poor prognosis recurrence (PPR). The Kaplan-Meier survival curve was used to evaluate the OS and RFS of patients. Cox proportional-hazards model was used to identify factors affecting the prognostic survival of patients with endometrial cancer recurrence.Among the 473 patients, 406 did not experience recurrence. A total of 67 patients, accounting for 14.2%, had recurrence. Among them, 27 had local recurrence, accounting for 5.7%, while 40 had poor prognosis recurrence, accounting for 8.5%. The median follow-up time of patients with recurrence was 38 months. The survival curve showed that the RFS and OS of the patients in the recurrence-free group remained unchanged, while the patients in the recurrence group, regardless of whether they had overall recurrence, local recurrence or PPR, experienced a decrease in RFS and OS(FIGO stage Ⅲ, increased Ki-67 expression, and decreased ER expression can increase patients' risk of postoperative recurrence, and FIGO stage Ⅲ and decreased expression of PR can increase the risk of death in patients with recurrence.
Details
- ISSN :
- 1672173X
- Volume :
- 52
- Issue :
- 3
- Database :
- OpenAIRE
- Journal :
- Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition
- Accession number :
- edsair.pmid..........2ee50651067f78e66835487c00fe61a6