Accepted for/Published in: JMIR Public Health and Surveillance
Date Submitted: Nov 23, 2020
Date Accepted: Aug 5, 2021
Long-term survival among histological subtypes in advanced epithelial ovarian cancer: a population-based study from the Surveillance, Epidemiology, and End Results database
ABSTRACT
Background:
Actual long-term survival rates for advanced epithelial ovarian cancer (EOC) are rarely reported.
Objective:
To assess the role of histological subtypes in predicting the prognosis among long-term survivors (≥5 years) of advanced EOC.
Methods:
We performed a retrospective analysis of data on patients with stage III-IV EOC diagnosed from 2000 to 2014 using the Surveillance, Epidemiology, and End Results cancer data of the United States. We used the chi-square test, Kaplan–Meier analysis, and multivariate Cox proportional hazards model for the analyses.
Results:
We included 8050 patients in this study, including 6929 (86.1%), 743 (9.2%), 237 (2.9%), and 141 (1.8%) patients with serous, endometrioid, clear cell, and mucinous tumors, respectively. With a median follow-up of 91 months, the most common cause of death was primary ovarian cancer (80.3%), followed by other cancers (8.1%), other causes of death (7.3%), cardiac-related death (3.2%), and non-malignant pulmonary disease (3.2%). Patients with serous subtype were more likely to die from primary ovarian cancer and patients with mucinous subtype were more likely to die from other cancers and cardiac-related disease. Multivariate Cox analysis showed patients with endometrioid [hazard ratio (HR) 0.534, P<.001), mucinous (HR 0.454, P<.001), and clear cell (HR 0.563, P<.001) subtypes showed better ovarian cancer-specific survival than those with the serous subtype. Similar results were found regarding overall survival. However, the ovarian cancer-specific survival and OS were comparable among those with endometrioid, clear cell, and mucinous tumors.
Conclusions:
Ovarian cancer remains the primary cause of death in long-term ovarian cancer survivors. Moreover, the probability of death is a significant difference among those with different histological subtypes. It is important for clinicians to individualize the surveillance program for long-term ovarian cancer survivors.
Citation
Request queued. Please wait while the file is being generated. It may take some time.
Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.