Literature DB >> 31574390

Association between chemotherapy and disease-specific survival in women with borderline ovarian tumors: A SEER-based study.

Yichen Wang1, Haiyan Sun1, Aijun Yu1, Tao Zhu1, Xi Chen2.   

Abstract

BACKGROUND: The impact of chemotherapy on disease-specific survival in patients with borderline ovarian tumors (BOTs) has not been studied previously.
METHODS: Patients with BOTs were identified from The Surveillance, Epidemiology, and End Results (SEER) database. Associations of chemotherapy and other risk factors with disease-specific survival were analyzed using Cox proportion hazards regression models.
RESULTS: A total of 6065 patients diagnosed during 1988-2000 were selected. The mean age at diagnosis was 48.0 ± 16.5 with a median follow-up time of 190.0 ± 72.5 months. The majority of BOTs were at stage I (86.7%) and treated with surgery (99.3%). Chemotherapy and radiotherapy were given to 343 patients (5.7%) and 33 (0.5%) patients, respectively. A total of 296 patients (4.9%) died from this disease. Both univariate and multivariate survival analysis showed that chemotherapy, older age, bilateral tumor, advanced stage, non-surgery and radiotherapy were associated with worse disease-specific survival. The comprised effect of chemotherapy remained after patients were stratified by age, histology and stage.
CONCLUSIONS: Chemotherapy is associated with worse disease-specific survival in patients with BOTs. Tumor laterality, age, stage and other treatments are also prognostic factors for this disease.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Borderline ovarian tumor; Chemotherapy; Ovarian; Survival

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Year:  2019        PMID: 31574390     DOI: 10.1016/j.ejogrb.2019.09.004

Source DB:  PubMed          Journal:  Eur J Obstet Gynecol Reprod Biol        ISSN: 0301-2115            Impact factor:   2.435


  1 in total

1.  Develop a nomogram to predict overall survival of patients with borderline ovarian tumors.

Authors:  Xiao-Qin Gong; Yan Zhang
Journal:  World J Clin Cases       Date:  2022-03-06       Impact factor: 1.337

  1 in total

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