Original Article
Adjuvant therapy and prognosis in uterine carcinosarcoma

https://doi.org/10.1016/j.jfma.2021.04.016Get rights and content
Under a Creative Commons license
open access

Purpose

To investigate the prognostic factors and impact of adjuvant treatment on uterine carcinosarcoma (UCS).

Methods

A retrospective review of UCS patients treated between 2005 and 2019 was conducted. International Federation of Gynecology and Obstetrics (FIGO) 2009 staging system was used. Multivariate stepwise Cox proportional hazard regression models were used to identify the independent predictors of overall survival (OS) and progression-free survival (PFS).

Results

A total of 138 patients were eligible for descriptive analysis. Excluding 12 patients without surgery, 126 patients with adequate clinicopathologic data were included for prognostic analysis. The median follow-up for survivors was 51.8 months. 5-year OS and PFS rates for FIGO stage I, II, III, IV were 64.5% and 51.8%, 60.8% and 57.7%, 47.7% and 45.9%, 5.1% and 4.1%, respectively. By multivariate analysis, six models each for PFS and OS were formulated including highly correlated variables alternatively. Adjuvant chemoradiation was consistently selected as an independent prognostic factor for OS (hazard ratio [HR] 0.10–0.22, all p < 0.001) and PFS (HR 0.12–0.23, all p < 0.001), while adjuvant chemotherapy (HR 0.33–0.41), age≥58 years (HR 1.80–1.91), stage III/IV (HR 3.36–13.34), and adnexal metastasis (HR 2.06–5.02) in three to four of the six models for OS. Stratified analyses revealed that adjuvant chemoradiation significantly improved outcome compared with adjuvant chemotherapy for stage IA patients with lymphovascular space invasion and stage IB-IV, lymph node metastasis, and adnexal metastasis.

Conclusion

Adjuvant chemoradiation was confirmed as an independent good prognostic factor, while older age, stage III/IV, and adnexal metastasis were associated with poor outcome in UCS.

Keywords

Adjuvant therapy
Carcinosarcoma
Chemoradiation
Overall survival
Prognostic factors

Cited by (0)