Borderline Ovarian Tumors: Recurrence Patterns and Management

doi:10.21203/rs.3.rs-4627979/v1

Borderline Ovarian Tumors: Recurrence Patterns and Management

2024 · doi:10.21203/rs.3.rs-4627979/v1

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Abstract Purpose: We aimed to evaluate the factors associated with disease recurrence, recurrence patterns, and obstetric outcomes of borderline ovarian tumors. The main outcome was prognostic factors for disease recurrence. The secondary outcomes were recurrence sites and obstetric results. Methods: This study included patients diagnosed with BOT in Başkent University. Data was obtained from patient files and hospital records. Histopathological results were re-evaluated based on the new 2020 WHO classification. Risk factors for disease recurrence were evaluated for early-stage and advanced-stage diseases. Survival was measured from the time of diagnosis. Results: A total of 142 patients were included. The median follow-up time was 100.5 months. Recurrence occurred in 24(16.9%) patients and the 5-year RFS 86.3% and no deaths were recorded. The main recurrence site of the tumor was the same ovary (12/24, 50%). In multivariate analysis, cystectomy was found as a risk factor for recurrence in the early stage (HR:4.28; 95%CI: 1.40 – 13.08, p:0.011). One patient’s tumor showed malignant transformation (1/24, 4.17%). The pregnancy rate was 76.7% among 43 patients who attempted to conceive. There was no difference in obstetric outcomes between USO and cystectomy (p:0.223). Conclusion: The risk of recurrence in patients with BOT was higher in patients who underwent cystectomy and obstetric outcomes were similar between cystectomy and USO. In this study, most recurrences occurred in the ovaries. Therefore, fertility-sparing appears to be an appropriate choice for young women with satisfactory obstetric outcomes even in the advanced stage.

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Borderline Ovarian Tumors: Recurrence Patterns and Management | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Borderline Ovarian Tumors: Recurrence Patterns and Management Mehmet Tunç, Hüseyin Akıllı, Emre Günakan, Nihan Haberal, Ali Haberal, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4627979/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Purpose: We aimed to evaluate the factors associated with disease recurrence, recurrence patterns, and obstetric outcomes of borderline ovarian tumors. The main outcome was prognostic factors for disease recurrence. The secondary outcomes were recurrence sites and obstetric results. Methods: This study included patients diagnosed with BOT in Başkent University. Data was obtained from patient files and hospital records. Histopathological results were re-evaluated based on the new 2020 WHO classification. Risk factors for disease recurrence were evaluated for early-stage and advanced-stage diseases. Survival was measured from the time of diagnosis. Results: A total of 142 patients were included. The median follow-up time was 100.5 months. Recurrence occurred in 24(16.9%) patients and the 5-year RFS 86.3% and no deaths were recorded. The main recurrence site of the tumor was the same ovary (12/24, 50%). In multivariate analysis, cystectomy was found as a risk factor for recurrence in the early stage (HR:4.28; 95%CI: 1.40 – 13.08, p:0.011). One patient’s tumor showed malignant transformation (1/24, 4.17%). The pregnancy rate was 76.7% among 43 patients who attempted to conceive. There was no difference in obstetric outcomes between USO and cystectomy (p:0.223). Conclusion: The risk of recurrence in patients with BOT was higher in patients who underwent cystectomy and obstetric outcomes were similar between cystectomy and USO. In this study, most recurrences occurred in the ovaries. Therefore, fertility-sparing appears to be an appropriate choice for young women with satisfactory obstetric outcomes even in the advanced stage. Borderline Ovarian Tumor Disease-Free Survival Fertility Sparing Surgery Obstetric Outcomes Recurrence site Figures Figure 1 TAKE HOME MESSAGE The risk of recurrence in patients with BOT was higher in patients who underwent cystectomy and obstetric outcomes were similar between cystectomy and USO. Fertility-sparing appears to be an appropriate choice for young women with satisfactory obstetric outcomes even in the advanced stage. 1. Introduction Borderline ovarian tumors (BOT) are rare and it’s incidence varies from 1.5 to 4.8 in 100,000 per year [1, 2] and constitutes 10-20% of all ovarian malignancies[3]. BOTs do not have aggressive behavior, with about 90% disease-free and overall survival rates [4]. Surgery is the cornerstone of treatment for BOTs and varies from cystectomy to non-aggressive debulking based on the age and fertility status of the patient, and the extent of the tumor. Approximately one-third of the patients with BOTs are diagnosed before 40 years of age and the mean age of presentation is approximately 10–20 years earlier than its invasive counterpart [5-7]. The high frequency of the disease at a younger age is associated with almost excellent oncologic outcomes because of management in favor of conservative surgery in this group of patients [4]. Hence, results concerning fertility have been reported revealing a pregnancy rate between 32% and 63% after fertility-sparing surgery (FSS) [8-10]. However, comprehensive surgery and surgical staging remain the standard treatment in case of extended disease and older age [11].Management may vary between centers or clinicians [12]. For that reason, we aimed to evaluate possible risk factors for disease recurrence, recurrence patterns and obstetric outcomes after FSS in BOTs and share the experience of a single institution with a standard approach over 13 years. 2. Materials and Methods This retrospective study was conducted at Başkent University Ankara Hospital, Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, per the principles of the Declaration of Helsinki. The study was approved by the Institutional Review Board (KA 23/233). A written informed consent was obtained from the patients with guarantees of confidentiality. This study involved patients with BOTs and treated between March 2007 and June 2023. Age, fertility status, histopathological reports, recurrence, and pregnancy rates were obtained from the patient records. The stages of the disease were evaluated following the International Federation of Gynecology and Obstetrics (FIGO) 2014 Ovarian Cancer Staging System[13]. Stage I or II disease is defined as early-stage disease, while stage III disease is labeled as advanced disease. All histopathological results were reviewed and re-evaluated based on the new 2020 WHO classification of ovarian tumors by the co-author pathologist (NH)[14]. Before the surgical intervention, patients with suspicious ovarian cysts were informed about the possibility of ovarian cancer or borderline tumor of the ovary and if patients had a desire to preserve fertility, they were well briefed that FSS is not the standard surgery for ovarian cancer and all patients had given informed consent. Fertility-sparing is defined as preserving at least one ovary and uterus. Unilateral salpingo-oophorectomy (USO) or cystectomy was performed as the FSS procedure in the patients who had informed consent previously. The decision for the type of surgical procedure was based on the current approaches. Rutine follow-up protocol in our clinic for this patient group was control visits every 3 months in the first 2 years, twice annually during the following 3 years, and once a year thereafter until any finding or sign of disease recurrence. A gynecologic examination, pelvic ultrasound, testing of disease-related serum tumor marker (cancer antigen 125, etc.), and a thoracoabdominal CT scan (every 6 months in the first 2 years) were the components of the follow-up visits. A debulking surgery was applied in case of disease recurrence. Recurrence-free survival (RFS) was defined as the time between the surgery and the time of detection of disease recurrence. Overall survival (OS) was defined as the time between the surgery and the time of death related to the disease. Age≤35, FIGO stage, histology, surgical procedure (USO vs cystectomy vs Bilateral salpingo-oophorectomy (BSO)±Total abdominal hysterectomy (TAH)), FSS, lymphadenectomy, and presence of micro invasion were evaluated as possible risk factors for disease recurrence. The obstetric outcome was evaluated by collecting data up until the patient's last follow-up visit from the hospital records and patient files. The components of obstetric data were marital status at the time of diagnosis, current marital status (or having a partner), history of gravida and parity, the current status of gravida and parity, desire for pregnancy to date, and pregnancy method (spontaneous or assisted). Survival analyses were performed in early-stage and advanced-stage patients. Obstetric outcomes of the FSS patients were also evaluated. Statistical analyses were performed by using IBM SPSS Statistics for Windows 25.0 (IBM Corp., Armonk, NY, USA). The data were expressed as the median and range for the continuous variables. Binary variables were reported as the number and percentage. The Kaplan-Meier test was used to identify differences between the curves for recurrence-free survival (RFS). An overall survival (OS) analysis was not performed due to the lack of any death events. The multivariate analysis was calculated using the Cox regression test. Survival was measured from the time of diagnosis. P-value < 0.05 was accepted as statistically significant. 3. Results The median age of the patients was 34.0 (range: 17-76). The median follow-up time was 100.5 (range: 20–266) months. Of the 142 patients, 94 (66.2%) had serous histology and 48 (33.8%) patient’s tumor histology was non-serous. One hundred and twenty-three (86.6%) patients had early-stage disease while 19 patients had advanced-stage disease, 13 (68.4%) of whom were under 35 years of age. Characteristics of the patients are summarized in Table 1. Median follow-up time was 100.5 months (range:20-266). Recurrence occurred in 24 (16.9%) patients and the 5-year RFS 86.3% and no deaths observed. One of the patient’s tumor showed malignant transformation (1/24, 4.17%). The mean RFS time was 199.9 months, median RFS was not reached in follow-up time. In univariate analysis; age≤35 (p:0.000), FSS (p:0.000), and advanced-stage disease (p:0.000) were associated with decreased 5-year RFS. The multivariate analysis showed early-stage disease was the only prognostic factor for RFS in whole cohort (HR:0.42; 95%CI; 0.27-0.66, p:0.002) and age≤35, and fertility preservation showed no significant difference (p:0.098 and 0.935, respectively). In univariate analysis of early-stage patients age≤35 (p:0.008), cystectomy (p:0.000), and FSS (0.005) were associated with shorter recurrence-free survival time. In multivariate analysis of early-stage patients cystectomy was found as a risk factor for disease recurrence. Table 2 shows the RFS analysis of early-stage patients. Figure 1 shows the survival plot of surgical procedures on disease recurrence in early-stage patients. In univariate analysis of the advanced-stage patients, age≤35 (p:0.011) and FSS (p:0.028) were found as possible risk factors for disease. A flowchart of recurrence patterns is given in table 3. After debulking surgery for recurrent disease, a total of 6 recurrences (27.3%) occurred. In cystectomy and USO subgroups, recurrence rates (30% vs 25%, respectively) and mean recurrence-free time (140.8 vs 89.7 months, respectively) were similar after debulking surgery (p:0.891 and p:0.306, respectively). Forty-three patients (34/43, 79.1% were nulliparous) attempted to conceive, in posttreatment. During the follow-up, 37 pregnancies occurred among 33 patients, with 34 live births and 3 miscarriages. Of the patients who had a livebirth, 23 were nulliparous at the time of disease treatment. Moreover, 13 pregnancies occurred after intracytoplasmic sperm injection (ICSI), while 20 patients conceived spontaneously. There was no effect of the surgical procedure (cystectomy or USO) in obstetric outcomes (p:0.223).The obstetric outcomes of the patients are summarized in table 4 as a flowchart. 4. Discussion This study revealed remarkable results regarding BOTs from a single gynecologic oncology department. Firstly, the recurrence site after conservative surgery is mostly observed in the same ovary and the management of recurrent disease is easy and consists of debulking of mass. Secondly, all the recurrences were observed in the patients who underwent FSS, while there was no disease recurrence in the BSO±TAH patients. The advanced-stage disease was significantly associated with disease recurrence. In early-stage patients, cystectomy resulted in lower RFS than USO in the patients. It is known that BOTs have a good prognosis and the 10-year survival rate is between 70–95%, depending on the stage of the disease [15]. In this study, the 5-year OS rate was 100% for all patients during follow-up and this was higher than expected. The follow-up in the upcoming years will be more directive for a better evaluation of OS. The recurrence rate in this study was 16.9%, which was concordant with recently published studies (recurrence rates between 10–35%) [8, 9, 16]. Invasive implants, micropapillary architecture, and cystectomy during FSS rather than USO were associated with recurrence and a relatively worse prognosis in various studies [16–18]. Cystectomy was a significant factor for decreased 5-year RFS in early-stage and advanced-stage patients in this study. Moreover, USO seemed to be superior to cystectomy in terms of recurrence. Similarly, a higher recurrence risk after cystectomy has been reported in 2 recent studies [17, 18]. Tal et al. reported that the contralateral ovary was the main recurrence site in USO-treated patients and it was the same ovary in the patients who underwent cystectomy [19]. In the current study, the same ovary was the main recurrence localization for cystectomy patients while the contralateral ovary was the main localization for USO patients. Both locations are easily manageable when recurrence occurs. In addition to these findings, no disease recurrence occurred in patients who had undergone BSO±TAH, even in advanced-stage disease. Limitations for the surgical management of BOTs were also considered. These considerations predominantly focus on the abandonment of hysterectomy or BSO at younger ages. At this point, it is important to state that in this study, no recurrences occurred in the BSO±TAH group and all of the recurrences were observed in FSS patients with an acceptable rate, which was similar to the literature [20]. On the other hand, there have been many studies reporting similar PFS and OS results for FSS when compared with standard surgery [6, 16, 21]. Good overall survival results promote the FSS approaches, despite the higher risk of recurrence. Thus, patient-based evaluation, including the selection of FSS candidates and the selection of the surgical approach, plays an important role in the management of patients of reproductive age with BOTs. Moreover, the experience of the centers regarding gynecologic cancer surgery, intraoperative observation, and FSS approaches would affect these results. Increased risk of recurrence for FSS should be emphasized during patient counseling and patients should be well-informed that the recurrence risk is very low in patients undergone BSO. Lymphadenectomy is another arguable issue in the management of BOTs. Although there are studies that have suggested the avoidance of LND in apparent stage I disease [22], lymphadenectomy has not been completely excluded in the management of BOTs [23]. Lymphadenectomy did not affect RFS in this study. The retrospective nature of the current study was an obstacle to making recommendations but may constitute a kernel point for a larger prospective series for the re-evaluation of lymphadenectomy in the management of BOTs. Another important issue regarding FSS for BOTs is the pregnancy outcomes, and many studies have been presented with the increasing number of FSS approaches. The majority of women with a history of BOT surgery conceive spontaneously [10] and this study was also in agreement with this datum. Follow-up without intervention may be a feasible approach in these patients, with lower cost and applicability. Moreover, ART can also be used in the case of infertility, low ovarian reserve, or patient desire without compromising their prognosis [10]. Pre-conceptional counseling, co-decision with the patient, and a patient-based approach would constitute this management. Published literature on pregnancy outcomes has revealed a pregnancy rate between 32% and 63% after FSS for BOTs [8-10]. The pregnancy rate was 79% in the current study for the women who attempted to conceive. There was no difference in obstetric outcomes of surgical intervention between cystectomy and USO in this study. In a recent study, pregnancy rates were similar among patients who underwent bilateral cystectomy vs unilateral adnexectomy plus contralateral cystectomy in patients with bilateral BOTs[24]. Bilateral cystectomy was associated with shorter RFS, in this study. The substantial number of FSS patients, standard management of a tertiary institution, and long-term follow-up seemed to be the major strengths of the current study. The retrospective design, limited number of advanced-stage patients, and monocentric nature of this study were its notable limitations. Fertility sparing was associated with an increased risk of recurrence and lower RFS in patients with BOTs. Patients should be informed in detail about the recurrence risk and survival issues. USO seems to be associated with a longer RFS when compared to cystectomy. Nevertheless, FSS seems to be a safe approach for women with BOTs of reproductive age, as it does not influence overall survival. There is limited data on fertility preservation and the new WHO ovarian cancer classification. Further studies may contribute to the literature. Declarations ACKNOWLEDGEMENTS None. DISCLOSURE No disclosures. CONFLICT OF INTEREST The authors declare there are no conflicts of interest, financial or otherwise, related to the material presented herein. FUNDING None. References Trope CG, Kaern J, Davidson B (2012) Borderline ovarian tumours. 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Eur J Obstet Gynecol Reprod Biol 296:107–113 Tables Table 1 Characteristics of the Patients n % Age Group ≤ 35 > 35 76 66 53.5 46.5 Tumor Histology Serous Mucinous Seromucinous Endometrioid 94 34 13 1 66.2 23.9 9.2 0.7 Stage Early Advanced 123 19 86.6 13.4 Surgical Procedure Cystectomy USO BSO ± TAH 37 61 44 26.0 43.0 31.0 Fertility Sparing Yes No 94 48 66.2 33.8 Lymphadenectomy Yes No 106 36 74.6 25.4 Microinvasion Yes No 42 100 29.6 70.4 Abbreviations : USO: Unilateral salpingo-oophorectomy, BSO: Bilateral salpingo-oophorectomy, TAH: Total abdominal hysterectomy Table 2 Univariate and Multivariate Analyses of the Prognostic Factors for RFS in Early-Stage Patients Factor n Univariate Survival Analysis Multivariate Survival Analysis p-value HR 95% CI p-value Age Group ≤ 35 > 35 63 60 0.008 0.70 0.15–3.23 0.643 Histology Serous Non-Serous 76 47 0.455 Surgical Procedure Cystectomy USO BSO ± TAH 31 53 39 0.000 4.28 1.40–13.08* 0.011* 0.039 Fertility Sparing Yes No 80 43 0.005 0.00 0.00-3.15 0.951 Lymphadenectomy Yes No 88 35 0.162 Microinvasion Yes No 32 91 0.269 Abbreviations : HR: Hazard ratio, CI: Confidence interval, USO: Unilateral salpingo-oophorectomy, BSO: Bilateral salpingo-oophorectomy, TAH: Total abdominal hysterectomy. *Cystectomy vs USO Table 3. Recurrence Patterns Abbreviations: FSS: Fertility-sparing surgery Table 4. Obstetric outcomes Abbreviations: FSS: Fertility-sparing surgery Supplementary Files AuthorContributions.docx Authorscoidisclosure.docx Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4627979","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":323977820,"identity":"d2ccbe84-d532-4bde-9066-8ec336b77875","order_by":0,"name":"Mehmet Tunç","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAt0lEQVRIiWNgGAWjYDACCSjNDyISCojTwthwAEhLNoC0GJCixQBEMBCjRXd2d/rjj2135I3Pr0788MCAQZ5f7AB+LWZ3zm5sONj2zHDbjbebJYAOM5w5O4GAlhu5IC2HE8xunN0A0pJgcJtYLcYzzm7+QZoWA/7ebcTbMuPMucOGM27wbrNIMJAgyi8bPlSUHZbn7z+7+eaPCht5fmkCWhBAAqxSgoAqFMB/gBTVo2AUjIJRMJIAAJXSTrC4sIR5AAAAAElFTkSuQmCC","orcid":"https://orcid.org/0000-0002-8646-0619","institution":"Başkent Üniversitesi Tıp Fakültesi","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Mehmet","middleName":"","lastName":"Tunç","suffix":""},{"id":323977821,"identity":"acd0ee58-0eb5-443b-971a-caba51e09cf9","order_by":1,"name":"Hüseyin Akıllı","email":"","orcid":"","institution":"","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Hüseyin","middleName":"","lastName":"Akıllı","suffix":""},{"id":323977822,"identity":"d5b8b985-7bd9-4446-a05b-b83445d8472c","order_by":2,"name":"Emre Günakan","email":"","orcid":"","institution":"","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Emre","middleName":"","lastName":"Günakan","suffix":""},{"id":323977823,"identity":"d36a9d46-a7f3-4d93-9a4e-b9e6ca8c58b9","order_by":3,"name":"Nihan Haberal","email":"","orcid":"","institution":"","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Nihan","middleName":"","lastName":"Haberal","suffix":""},{"id":323977824,"identity":"45b91ef1-25ed-4c39-912e-d65015906217","order_by":4,"name":"Ali Haberal","email":"","orcid":"","institution":"","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Ali","middleName":"","lastName":"Haberal","suffix":""},{"id":323977825,"identity":"3c44525a-0ee1-4592-a3bd-66b7079eccd2","order_by":5,"name":"Ali Ayhan","email":"","orcid":"","institution":"","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Ali","middleName":"","lastName":"Ayhan","suffix":""}],"badges":[],"createdAt":"2024-06-24 06:41:15","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4627979/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4627979/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":62137000,"identity":"a0eba2fe-256c-4bf9-b5c8-5ee0254eb54b","added_by":"auto","created_at":"2024-08-09 16:29:41","extension":"jpg","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":50543,"visible":true,"origin":"","legend":"\u003cp\u003eSurgical procedure vs RFS in early-stage patients (p:0.000)\u003c/p\u003e","description":"","filename":"Figure1.jpg","url":"https://assets-eu.researchsquare.com/files/rs-4627979/v1/d611dc5ac4274a0a002474f8.jpg"},{"id":64107135,"identity":"6aaca819-2986-4645-906e-e8eab0210b4e","added_by":"auto","created_at":"2024-09-07 04:05:25","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":518795,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4627979/v1/b873243e-e033-4e49-a633-85b1e7c38892.pdf"},{"id":62136998,"identity":"372704b4-bf48-4c1c-a53d-fb23a6d7b1a8","added_by":"auto","created_at":"2024-08-09 16:29:41","extension":"docx","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":12942,"visible":true,"origin":"","legend":"","description":"","filename":"AuthorContributions.docx","url":"https://assets-eu.researchsquare.com/files/rs-4627979/v1/eae657bd0d92bc50422ffeec.docx"},{"id":62137001,"identity":"55bee22e-f358-4c64-9f61-19a9b3351bfc","added_by":"auto","created_at":"2024-08-09 16:29:41","extension":"docx","order_by":2,"title":"","display":"","copyAsset":false,"role":"supplement","size":71524,"visible":true,"origin":"","legend":"","description":"","filename":"Authorscoidisclosure.docx","url":"https://assets-eu.researchsquare.com/files/rs-4627979/v1/41c74cdabe31160708fe74d9.docx"}],"financialInterests":"","formattedTitle":"Borderline Ovarian Tumors: Recurrence Patterns and Management","fulltext":[{"header":"TAKE HOME MESSAGE","content":"\u003cp\u003eThe risk of recurrence in patients with BOT was higher in patients who underwent cystectomy and obstetric outcomes were similar between cystectomy and USO. Fertility-sparing appears to be an appropriate choice for young women with satisfactory obstetric outcomes even in the advanced stage.\u003c/p\u003e"},{"header":"1. Introduction","content":"\u003cp\u003eBorderline ovarian tumors (BOT) are rare and it\u0026rsquo;s incidence varies from 1.5 to 4.8 in 100,000 per year [1, 2] and constitutes 10-20% of all ovarian malignancies[3]. BOTs do not have aggressive behavior, with about 90% disease-free and overall survival rates [4]. Surgery is the cornerstone of treatment for BOTs and varies from cystectomy to non-aggressive debulking based on the age and fertility status of the patient, and the extent of the tumor. Approximately one-third of the patients with BOTs are diagnosed before 40 years of age and the mean age of presentation is approximately 10\u0026ndash;20 years earlier than its invasive counterpart [5-7]. The high frequency of the disease at a younger age is associated with almost excellent oncologic outcomes because of management in favor of conservative surgery in this group of patients [4]. Hence, results concerning fertility have been reported revealing a pregnancy rate\u0026nbsp;between 32% and 63% after fertility-sparing surgery (FSS) [8-10]. However, comprehensive surgery and surgical staging remain the standard treatment in case of extended disease and older age [11].Management may vary between centers or clinicians [12]. For that reason, we aimed to evaluate possible risk factors for disease recurrence, recurrence patterns and obstetric outcomes after FSS in BOTs and share the experience of a single institution with a standard approach over 13 years.\u003c/p\u003e"},{"header":"2. Materials and Methods","content":"\u003cp\u003eThis retrospective study was conducted at\u0026nbsp;Başkent University Ankara Hospital, Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, per the principles of the Declaration of Helsinki. The study was approved by the Institutional Review Board (KA 23/233). A written informed consent was obtained from the patients with guarantees of confidentiality.\u003c/p\u003e\n\u003cp\u003eThis study involved patients with BOTs and treated between March 2007 and June 2023. Age, fertility status, histopathological reports, recurrence, and pregnancy rates were obtained from the patient records.\u0026nbsp;The stages of the disease were evaluated\u0026nbsp;following the International Federation of Gynecology and Obstetrics (FIGO) 2014 Ovarian Cancer Staging System[13]. Stage I or II disease is defined as early-stage disease, while stage III disease is labeled as advanced disease. All histopathological results were reviewed and re-evaluated based on the new 2020 WHO classification of ovarian tumors by the co-author pathologist (NH)[14].\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eBefore the surgical intervention, patients with suspicious ovarian cysts were informed about the possibility of ovarian cancer or borderline tumor of the ovary and if patients had a desire to preserve fertility, they were well briefed that FSS is not the standard surgery for ovarian cancer and all patients had given informed consent. Fertility-sparing is defined as preserving at least one ovary and uterus. Unilateral salpingo-oophorectomy (USO) or cystectomy was performed as the FSS procedure in the patients who had informed consent previously. The decision for the type of surgical procedure was based on the current approaches.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eRutine follow-up protocol in our\u0026nbsp;clinic\u0026nbsp;for\u0026nbsp;this patient group was control visits every 3 months in the first 2 years, twice annually during the following 3 years, and once a year thereafter until any finding or sign of disease recurrence. A gynecologic examination, pelvic ultrasound, testing of disease-related serum tumor marker (cancer antigen 125, etc.), and a thoracoabdominal CT scan (every 6 months in the first 2 years) were the components of the follow-up visits. A debulking surgery was applied in case of disease recurrence.\u003c/p\u003e\n\u003cp\u003eRecurrence-free survival (RFS) was defined as the time between the surgery and the time of detection of disease recurrence. Overall survival (OS) was defined as the time between the surgery and the time of death related to the disease.\u0026nbsp;Age\u0026le;35,\u0026nbsp;FIGO stage, histology, surgical procedure (USO vs cystectomy vs Bilateral salpingo-oophorectomy (BSO)\u0026plusmn;Total abdominal hysterectomy (TAH)), FSS, lymphadenectomy, and presence of micro invasion were evaluated as possible risk factors for disease recurrence.\u0026nbsp;The obstetric outcome was evaluated by collecting data up until the patient\u0026apos;s last follow-up visit from the hospital records and patient files. The components of obstetric data were marital status at the time of diagnosis, current marital status (or having a partner), history of gravida and parity, the current status of gravida and parity, desire for pregnancy to date, and pregnancy method (spontaneous or assisted).\u003c/p\u003e\n\u003cp\u003eSurvival analyses were performed in early-stage and advanced-stage patients. Obstetric outcomes of the FSS patients were also evaluated.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eStatistical analyses were performed by using IBM SPSS Statistics for Windows 25.0 (IBM Corp., Armonk, NY, USA). The data were expressed as the median and range for the continuous variables. Binary variables were reported as the number and percentage. The Kaplan-Meier test was used to identify differences between the curves for recurrence-free survival (RFS). An overall survival (OS) analysis was not performed due to the lack of any death events. The multivariate analysis was calculated using the Cox regression test. Survival was measured from the time of diagnosis. P-value \u0026lt; 0.05 was accepted as statistically significant.\u003c/p\u003e"},{"header":"3. Results","content":"\u003cp\u003eThe median age of the patients was 34.0 (range: 17-76). The median follow-up time was\u0026nbsp;100.5\u0026nbsp;(range: 20\u0026ndash;266) months. Of the 142 patients, 94 (66.2%) had serous histology and 48 (33.8%) patient\u0026rsquo;s tumor histology was non-serous. One hundred and twenty-three (86.6%) patients had early-stage disease while 19 patients had advanced-stage disease, 13 (68.4%) of whom were under 35 years of age. Characteristics of the patients are summarized in Table 1.\u003c/p\u003e\n\u003cp\u003eMedian follow-up time was 100.5 months (range:20-266). Recurrence occurred in 24 (16.9%) patients and the 5-year RFS 86.3% and no deaths observed. One of the patient\u0026rsquo;s tumor showed malignant transformation (1/24, 4.17%).\u0026nbsp;The mean RFS time was 199.9 months, median RFS was not reached in follow-up time.\u0026nbsp;In univariate analysis; age\u0026le;35 (p:0.000),\u0026nbsp;FSS (p:0.000), and advanced-stage disease (p:0.000) were associated with decreased 5-year RFS. The multivariate analysis showed early-stage disease was the only prognostic factor for RFS in whole cohort (HR:0.42; 95%CI; 0.27-0.66, p:0.002) and age\u0026le;35, and\u0026nbsp;fertility preservation showed no significant difference (p:0.098 and 0.935, respectively).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eIn univariate analysis of early-stage patients age\u0026le;35 (p:0.008), cystectomy (p:0.000), and FSS (0.005) were associated with shorter recurrence-free survival time. In multivariate analysis of early-stage patients cystectomy was found as a risk factor for disease recurrence. Table 2 shows the RFS analysis of early-stage patients. Figure 1 shows the survival plot of surgical procedures on disease recurrence in early-stage patients. In univariate analysis of the advanced-stage patients,\u0026nbsp;age\u0026le;35 (p:0.011) and FSS (p:0.028) were found as possible risk factors for disease.\u0026nbsp;A flowchart of recurrence patterns is given in table 3.\u003c/p\u003e\n\u003cp\u003eAfter debulking surgery for recurrent disease, a total of 6 recurrences (27.3%) occurred. In cystectomy and USO subgroups, recurrence rates (30% vs 25%, respectively) and mean recurrence-free time (140.8 vs 89.7 months, respectively) were similar after debulking surgery (p:0.891 and p:0.306, respectively).\u003c/p\u003e\n\u003cp\u003eForty-three patients (34/43, 79.1% were nulliparous) attempted to conceive, in posttreatment. During the follow-up, 37 pregnancies occurred among 33 patients, with 34 live births and 3 miscarriages. Of the patients who had a livebirth, 23 were nulliparous at the time of disease treatment. Moreover, 13 pregnancies occurred after intracytoplasmic sperm injection (ICSI), while 20 patients conceived spontaneously. There was no effect of the surgical procedure (cystectomy or USO) in obstetric outcomes (p:0.223).The obstetric outcomes of the patients are summarized in table 4 as a flowchart.\u003c/p\u003e"},{"header":"4. Discussion","content":"\u003cp\u003eThis study revealed remarkable results regarding BOTs from a single gynecologic oncology department. Firstly, the recurrence site after conservative surgery is mostly observed in the same ovary and the management of recurrent disease is easy and consists of debulking of mass. Secondly, all the recurrences were observed in the patients who underwent FSS, while there was no disease recurrence in the BSO\u0026plusmn;TAH patients. The advanced-stage disease was significantly associated with disease recurrence.\u0026nbsp;In early-stage patients, cystectomy resulted in lower RFS than USO in the patients.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eIt is known that BOTs\u0026nbsp;have a good prognosis and the 10-year survival rate is between 70\u0026ndash;95%, depending on the stage of the disease\u0026nbsp;[15].\u0026nbsp;In this study, the 5-year OS rate was 100% for all patients during follow-up and this was higher than expected. The follow-up in the upcoming years will be more directive for a better evaluation of OS. The recurrence rate in this study was 16.9%, which was concordant with recently published studies (recurrence rates between 10\u0026ndash;35%)\u0026nbsp;[8, 9, 16]. Invasive implants, micropapillary architecture, and cystectomy during FSS rather than USO were associated with recurrence and a relatively worse prognosis in various studies [16\u0026ndash;18]. Cystectomy was a significant factor for decreased 5-year RFS in early-stage and advanced-stage patients in this study. Moreover, USO seemed to be superior to cystectomy in terms of recurrence. Similarly, a higher recurrence risk after cystectomy has been reported in 2 recent studies\u0026nbsp;[17, 18]. Tal et al. reported that the contralateral ovary was the main recurrence site in USO-treated patients and it was the same ovary in the patients who underwent cystectomy\u0026nbsp;[19]. In the current study, the same\u0026nbsp;ovary was the main recurrence localization for cystectomy patients while the contralateral ovary was the main localization for USO patients. Both locations are easily manageable when recurrence occurs. In addition to these findings, no disease recurrence occurred in patients who had undergone\u0026nbsp;BSO\u0026plusmn;TAH, even in advanced-stage disease.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eLimitations for the surgical management of BOTs were also considered. These considerations predominantly focus on the abandonment of hysterectomy or BSO at younger ages.\u0026nbsp;At this point, it is important to state that in this study, no recurrences occurred in the BSO\u0026plusmn;TAH\u0026nbsp;group and all of the recurrences were observed in FSS patients with an acceptable rate, which was similar to the literature\u0026nbsp;[20]. On the other hand, there have been many studies reporting similar PFS and OS results for FSS when compared with standard surgery\u0026nbsp;[6, 16, 21].\u0026nbsp;Good overall survival results promote the FSS approaches, despite the higher risk of recurrence. Thus, patient-based evaluation, including the selection of FSS candidates and the selection of the surgical approach, plays an important role in the management of patients of reproductive age with BOTs. Moreover, the experience of the centers regarding gynecologic cancer surgery, intraoperative observation, and FSS approaches would affect these results. Increased risk of recurrence for FSS should be emphasized during patient counseling and patients should be well-informed that the recurrence risk is very low in patients undergone BSO.\u003c/p\u003e\n\u003cp\u003eLymphadenectomy is another arguable issue in the management of BOTs. Although there are studies that have suggested the avoidance of LND in apparent stage I disease\u0026nbsp;[22], lymphadenectomy has not been completely excluded in the management of BOTs\u0026nbsp;[23]. Lymphadenectomy did not affect RFS in this study. The retrospective nature of the current study was an obstacle to making recommendations but may constitute a kernel point for a larger prospective series for the re-evaluation of lymphadenectomy in the management of BOTs.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eAnother important issue regarding FSS for BOTs is the pregnancy outcomes, and many studies have been presented with the increasing number of FSS approaches. The majority of women with a history of BOT surgery conceive spontaneously\u0026nbsp;[10]\u0026nbsp;and this study was also in agreement with this datum. Follow-up without intervention may be a feasible approach in these patients, with lower cost and applicability. Moreover, ART can also be used in the case of infertility, low ovarian reserve, or patient desire without compromising their prognosis\u0026nbsp;[10]. Pre-conceptional counseling, co-decision with the patient, and a patient-based approach would constitute this management. Published literature on pregnancy outcomes has revealed a pregnancy rate\u0026nbsp;between 32% and 63% after FSS for BOTs\u0026nbsp;[8-10]. The pregnancy rate was 79% in the current study for the women who attempted to conceive.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThere was no difference in obstetric outcomes of surgical intervention between cystectomy and USO in this study. In a recent study, pregnancy rates were similar among patients who underwent bilateral cystectomy vs unilateral adnexectomy plus contralateral cystectomy in patients with bilateral BOTs[24]. Bilateral cystectomy was associated with shorter RFS, in this study.\u003c/p\u003e\n\u003cp\u003eThe substantial number of FSS patients, standard management of a tertiary institution, and long-term follow-up seemed to be the major strengths of the current study. The retrospective design, limited number of advanced-stage patients, and monocentric nature of this study were its notable limitations.\u003c/p\u003e\n\u003cp\u003eFertility sparing was associated with an increased risk of recurrence and lower RFS in patients with BOTs. Patients should be informed in detail about the recurrence risk and survival issues. USO seems to be associated with a longer RFS when compared to cystectomy. Nevertheless, FSS seems to be a safe approach for women with BOTs of reproductive age, as it does not influence overall survival.\u0026nbsp;There is limited data on fertility preservation and the new WHO ovarian cancer classification. Further studies may contribute to the literature.\u0026nbsp;\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eACKNOWLEDGEMENTS\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNone.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDISCLOSURE\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNo disclosures.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCONFLICT OF INTEREST\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare there are no conflicts of interest, financial or otherwise, related to the material presented herein.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFUNDING\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNone.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eTrope CG, Kaern J, Davidson B (2012) Borderline ovarian tumours. Best Pract Res Clin Obstet Gynaecol 26:325\u0026ndash;336\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMorice P, Uzan C, Fauvet R, Gouy S, Duvillard P, Darai E (2012) Borderline ovarian tumour: pathological diagnostic dilemma and risk factors for invasive or lethal recurrence. Lancet Oncol 13:e103\u0026ndash;115\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMandelbaum RS, Blake EA, Machida H, Grubbs BH, Roman LD, Matsuo K (2019) Utero-ovarian preservation and overall survival of young women with early-stage borderline ovarian tumors. Arch Gynecol Obstet 299:1651\u0026ndash;1658\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGokcu M, Gungorduk K, Asicioglu O, Cetinkaya N, Gungor T, Pakay G, Cuylan ZF, Toptas T, Ozyurt R, Agacayak E et al (2016) Borderline ovarian tumors: clinical characteristics, management, and outcomes - a multicenter study. J Ovarian Res 9:66\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eHarter P, Gershenson D, Lhomme C, Lecuru F, Ledermann J, Provencher DM, Mezzanzanica D, Quinn M, Maenpaa J, Kim JW et al (2014) Gynecologic Cancer InterGroup (GCIG) consensus review for ovarian tumors of low malignant potential (borderline ovarian tumors). Int J Gynecol Cancer 24:S5\u0026ndash;8\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGuvenal T, Dursun P, Hasdemir PS, Hanhan M, Guven S, Yetimalar H, Goksedef BP, Sakarya DK, Doruk A, Terek MC et al (2013) Effect of surgical staging on 539 patients with borderline ovarian tumors: a Turkish Gynecologic Oncology Group study. Gynecol Oncol 131:546\u0026ndash;550\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eNayyar N, Lakhwani P, Goel A, Pande PK, Kumar K (2017) Management of Borderline Ovarian Tumors-Still a Gray Zone. Indian J Surg Oncol 8:607\u0026ndash;614\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMorice P (2006) Borderline tumours of the ovary and fertility. Eur J Cancer 42:149\u0026ndash;158\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eFauvet R, Poncelet C, Boccara J, Descamps P, Fondrinier E, Darai E (2005) Fertility after conservative treatment for borderline ovarian tumors: a French multicenter study. Fertil Steril 83:284\u0026ndash;290 quiz 525\u0026thinsp;\u0026ndash;\u0026thinsp;286\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDarai E, Fauvet R, Uzan C, Gouy S, Duvillard P, Morice P (2013) Fertility and borderline ovarian tumor: a systematic review of conservative management, risk of recurrence and alternative options. Hum Reprod Update 19:151\u0026ndash;166\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eFotopoulou C, Schumacher G, Schefold JC, Denkert C, Lichtenegger W, Sehouli J (2009) Systematic evaluation of the intraoperative tumor pattern in patients with borderline tumor of the ovary. Int J Gynecol Cancer 19:1550\u0026ndash;1555\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGaballa K, Abdelkhalek M, Fathi A, Refky B, Belal K, Elaraby M, Zuhdy M (2022) Management of borderline ovarian tumors: A tertiary referral center experience in Egypt. Front Surg 9:962820\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMutch DG, Prat J (2014) 2014 FIGO staging for ovarian, fallopian tube and peritoneal cancer. Gynecol Oncol 133:401\u0026ndash;404\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDe Leo A, Santini D, Ceccarelli C, Santandrea G, Palicelli A, Acquaviva G, Chiarucci F, Rosini F, Ravegnini G, Pession A et al (2021) What Is New on Ovarian Carcinoma: Integrated Morphologic and Molecular Analysis Following the New 2020 World Health Organization Classification of Female Genital Tumors. Diagnostics (Basel) 11\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eTrimble CL, Kosary C, Trimble EL (2002) Long-term survival and patterns of care in women with ovarian tumors of low malignant potential. Gynecol Oncol 86:34\u0026ndash;37\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eChevrot A, Pouget N, Bats AS, Huchon C, Guyon F, Chopin N, Rousset-Jablonski C, Beurrier F, Lambaudie E, Provansal M et al (2020) Fertility and prognosis of borderline ovarian tumor after conservative management: Results of the multicentric OPTIBOT study by the GINECO \u0026amp; TMRG group. Gynecol Oncol 157:29\u0026ndash;35\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSozen H, Vatansever D, Topuz S, Iyibozkurt C, Kandemir H, Yalcin I, Onder S, Yavuz E, Salihoglu Y (2019) Clinicopathological analysis of borderline ovarian tumours and risk factors related to recurrence: experience of single institution. J Obstet Gynaecol 39:253\u0026ndash;258\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eFang C, Zhao L, Chen X, Yu A, Xia L, Zhang P (2018) The impact of clinicopathologic and surgical factors on relapse and pregnancy in young patients (=40 years old) with borderline ovarian tumors\u0026lt;/at. BMC Cancer 18:1147\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eTal O, Ganer Herman H, Gluck O, Levy T, Kerner R, Bar J, Sagiv R (2020) Characteristics and prognosis of borderline ovarian tumors in pre and postmenopausal patients. Arch Gynecol Obstet\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eHelpman L, Yaniv A, Beiner ME, Aviel-Ronen S, Perri T, Ben-Baruch G, Hogen Ben-David L, Jakobson-Setton A, Korach J (2017) Fertility preservation in women with borderline ovarian tumors - how does it impact disease outcome? A cohort study. Acta Obstet Gynecol Scand 96:1300\u0026ndash;1306\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDelle Marchette M, Ceppi L, Andreano A, Bonazzi CM, Buda A, Grassi T, Giuliani D, Sina F, Lamanna M, Bianchi T et al (2019) Oncologic and fertility impact of surgical approach for borderline ovarian tumours treated with fertility sparing surgery. Eur J Cancer 111:61\u0026ndash;68\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGershenson DM (2017) Management of borderline ovarian tumours. Best Pract Res Clin Obstet Gynaecol 41:49\u0026ndash;59\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eNaik R, Cross P, Lopes A, Godfrey K, Hatem MH (2006) True versus apparent stage I epithelial ovarian cancer: value of frozen section analysis. Int J Gynecol Cancer 16(Suppl 1):41\u0026ndash;46\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGuo L, Kang X, Su Y, Liu X, Xie W, Meng S, Liu Y, Wang W, Wang C (2024) Oncologic and reproductive outcomes after fertility-sparing surgery for bilateral borderline ovarian tumors: A retrospective study. Eur J Obstet Gynecol Reprod Biol 296:107\u0026ndash;113\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"},{"header":"Tables","content":"\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003ctable id=\"Tab1\" border=\"1\"\u003e\n \u003ccaption\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eCharacteristics of the Patients\u003c/div\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003en\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e%\u003c/div\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eAge Group\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026le;\u0026thinsp;35\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026gt;\u0026thinsp;35\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e76\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003e66\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e53.5\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003e46.5\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eTumor Histology\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003eSerous\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003eMucinous\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003eSeromucinous\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003eEndometrioid\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e94\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003e34\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003e13\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003e1\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e66.2\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003e23.9\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003e9.2\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.7\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eStage\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003eEarly\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003eAdvanced\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e123\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003e19\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e86.6\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003e13.4\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eSurgical Procedure\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003eCystectomy\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003eUSO\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003eBSO\u0026thinsp;\u0026plusmn;\u0026thinsp;TAH\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e37\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003e61\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003e44\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e26.0\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003e43.0\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003e31.0\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eFertility Sparing\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003eYes\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003eNo\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e94\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003e48\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e66.2\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003e33.8\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eLymphadenectomy\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003eYes\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003eNo\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e106\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003e36\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e74.6\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003e25.4\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eMicroinvasion\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003eYes\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003eNo\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e42\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003e100\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e29.6\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003e70.4\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003ctfoot\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"3\"\u003e\u003cspan class=\"Bold\"\u003eAbbreviations\u003c/span\u003e: USO: Unilateral salpingo-oophorectomy, BSO: Bilateral salpingo-oophorectomy, TAH: Total abdominal hysterectomy\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tfoot\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cdiv class=\"gridtable\"\u003e\n \u003cdiv class=\"colspec\" align=\"left\"\u003e\u0026nbsp;\u003c/div\u003e\n \u003ctable id=\"Tab2\" border=\"1\"\u003e\n \u003ccaption\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eUnivariate and Multivariate Analyses of the Prognostic Factors for RFS in Early-Stage Patients\u003c/div\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth rowspan=\"2\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eFactor\u003c/div\u003e\n \u003c/th\u003e\n \u003cth rowspan=\"2\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003en\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eUnivariate Survival Analysis\u003c/div\u003e\n \u003c/th\u003e\n \u003cth colspan=\"3\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eMultivariate Survival Analysis\u003c/div\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u003cspan class=\"Bold\"\u003ep-value\u003c/span\u003e\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u003cspan class=\"Bold\"\u003eHR\u003c/span\u003e\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u003cspan class=\"Bold\"\u003e95% CI\u003c/span\u003e\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u003cspan class=\"Bold\"\u003ep-value\u003c/span\u003e\u003c/div\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eAge Group\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026le;\u0026thinsp;35\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026gt;\u0026thinsp;35\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e63\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003e60\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u003cspan class=\"Bold\"\u003e0.008\u003c/span\u003e\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.70\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.15\u0026ndash;3.23\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.643\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eHistology\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003eSerous\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003eNon-Serous\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e76\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003e47\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.455\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eSurgical Procedure\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003eCystectomy\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003eUSO\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003eBSO\u0026thinsp;\u0026plusmn;\u0026thinsp;TAH\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e31\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003e53\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003e39\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u003cspan class=\"Bold\"\u003e0.000\u003c/span\u003e\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u003cspan class=\"Bold\"\u003e4.28\u003c/span\u003e\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u003cspan class=\"Bold\"\u003e1.40\u0026ndash;13.08*\u003c/span\u003e\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u003cspan class=\"Bold\"\u003e0.011*\u003c/span\u003e\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u003cspan class=\"Bold\"\u003e0.039\u003c/span\u003e\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eFertility Sparing\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003eYes\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003eNo\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e80\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003e43\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u003cspan class=\"Bold\"\u003e0.005\u003c/span\u003e\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.00\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.00-3.15\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.951\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eLymphadenectomy\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003eYes\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003eNo\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e88\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003e35\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.162\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eMicroinvasion\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003eYes\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003eNo\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e32\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003e91\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.269\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003ctfoot\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"6\"\u003e\u003cspan class=\"Bold\"\u003eAbbreviations\u003c/span\u003e: HR: Hazard ratio, CI: Confidence interval, USO: Unilateral salpingo-oophorectomy, BSO: Bilateral salpingo-oophorectomy, TAH: Total abdominal hysterectomy.\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"6\"\u003e\u003cspan class=\"Bold\"\u003e*Cystectomy vs USO\u003c/span\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tfoot\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 3. Recurrence Patterns\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAbbreviations:\u0026nbsp;\u003c/strong\u003eFSS: Fertility-sparing surgery\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 4. Obstetric outcomes\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAbbreviations:\u0026nbsp;\u003c/strong\u003eFSS: Fertility-sparing surgery\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Borderline Ovarian Tumor, Disease-Free Survival, Fertility Sparing Surgery, Obstetric Outcomes, Recurrence site","lastPublishedDoi":"10.21203/rs.3.rs-4627979/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4627979/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003ePurpose:\u003c/strong\u003e We aimed to evaluate the factors associated with disease recurrence, recurrence patterns, and obstetric outcomes of borderline ovarian tumors. The main outcome was prognostic factors for disease recurrence. The secondary outcomes were recurrence sites and obstetric results.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMethods:\u003c/strong\u003e This study included patients diagnosed with BOT in Başkent University. Data was obtained from patient files and hospital records. Histopathological results were re-evaluated based on the new 2020 WHO classification. Risk factors for disease recurrence were evaluated for early-stage and advanced-stage diseases. Survival was measured from the time of diagnosis.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eResults:\u003c/strong\u003e A total of 142 patients were included. The median follow-up time was 100.5 months. Recurrence occurred in 24(16.9%) patients and the 5-year RFS 86.3% and no deaths were recorded. The main recurrence site of the tumor was the same ovary (12/24, 50%). In multivariate analysis, cystectomy was found as a risk factor for recurrence in the early stage (HR:4.28; 95%CI: 1.40 – 13.08, p:0.011). One patient’s tumor showed malignant transformation (1/24, 4.17%). The pregnancy rate was 76.7% among 43 patients who attempted to conceive. There was no difference in obstetric outcomes between USO and cystectomy (p:0.223).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConclusion:\u003c/strong\u003e The risk of recurrence in patients with BOT was higher in patients who underwent cystectomy and obstetric outcomes were similar between cystectomy and USO. In this study, most recurrences occurred in the ovaries. Therefore, fertility-sparing appears to be an appropriate choice for young women with satisfactory obstetric outcomes even in the advanced stage.\u003c/p\u003e","manuscriptTitle":"Borderline Ovarian Tumors: Recurrence Patterns and Management","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-08-09 16:29:36","doi":"10.21203/rs.3.rs-4627979/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"bbc600da-01d7-4dbb-b3a0-482a39833ffb","owner":[],"postedDate":"August 9th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2024-09-07T03:57:18+00:00","versionOfRecord":[],"versionCreatedAt":"2024-08-09 16:29:36","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-4627979","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4627979","identity":"rs-4627979","version":["v1"]},"buildId":"WrCJVZZCHTDjtuVLN7oU0","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}

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