ArticleJournal of ovarian research2017
Identification of factors that impact recurrence in patients with borderline ovarian tumors.
Article in Journal of ovarian research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.
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Who cites it
12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 30 citations in OpenAlex.
- A Clinical Diagnostic Value Analysis of Serum CA125, CA199, and HE4 in Women with Early Ovarian Cancer: Systematic Review and Meta-Analysis.Computational and mathematical methods in medicine · 2022Pooled it
- Unilateral cystectomy and serous histology are associated with relapse in borderline ovarian tumor patients with fertility-sparing surgery: a systematic review and meta-analysis.Archives of gynecology and obstetrics · 2020Pooled it
- Expression VIII: Final Results of the Individual Perception and Level of Information of Patients with Borderline Tumors of the Ovary.Current oncology (Toronto, Ont.) · 2026Observational
- Impact of ovarian cystectomy on oncological and reproductive outcomes in borderline ovarian tumors: a retrospective study from a tertiary center.Journal of ovarian research · 2025Article
- Factors Affecting Recurrence in 165 Patients with Serous Borderline Ovarian Tumours: The Pattern of Micro-Invasion Is Main Prognostic Factor.Journal of clinical medicine · 2025Article
- Review
- Risk Factors for Recurrence of Borderline Ovarian Tumours after Conservative Surgery and Impact on Fertility: A Multicentre Study by the Francogyn Group.Journal of clinical medicine · 2022Article
- Analysis of Factors Influencing Relapse and Pregnancy in Patients with Borderline Ovarian Tumors.Journal of Cancer · 2021Article
- Predicting Lymph Node Involvement in Borderline Ovarian Tumors with a Quantitative Model and Nomogram: A Retrospective Cohort Study.Cancer management and research · 2021Article
- The impact of clinicopathologic and surgical factors on relapse and pregnancy in young patients (≤40 years old) with borderline ovarian tumors.BMC cancer · 2018Article
- Age-dependent difference in impact of fertility preserving surgery on disease-specific survival in women with stage I borderline ovarian tumors.Journal of ovarian research · 2018Article
- The safety of fertility and ipsilateral ovary procedures for borderline ovarian tumors.Oncotarget · 2017Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe lack of consensus around best practices for management of borderline ovarian tumors (BOT) is, in part, to the lack of available data and of clarity in interpreting relationships among various factors that impact outcomes. The objective of this study was to identify clinicopathological factors that impact prognosis of patients with borderline ovarian tumors (BOT) and to address features of this disease with the objective of providing clarity in decision making around management of BOT.
resultsA total of 178 BOT patients were included in this study, with a median age of 43 years and a median follow-up time of 37 months. Thirty-two (18.0%) recurrences and 5 (2.8%) deaths were observed in this study group. Multivariate analysis showed that fertility-preserving surgery (P = 0.0223 for bilateral cystectomy) and invasive implants (P = 0.0030) were significantly associated with worse PFS, whereas lymphadenectomy (P = 0.0129) was related to improved PFS. No factors were found to be associated with OS due to the limited number of deaths. In addition, patients with serous BOT more commonly had abnormal levels of CA125, while patients with mucinous BOT more commonly had abnormal levels of CEA. Patients with abnormal levels of CA125, or CA19-9, or HE4 had significantly larger tumor sizes.
conclusionsOur study reveals the impact of certain types of fertility-preserving surgery, lymphadenectomy and invasive implants on PFS of BOT patients. Blood cancer markers may be associated with histology and size of BOT. Our findings may assist in selection of optimum treatment for BOT patients.
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