J Cancer 2021; 12(17):5275-5285. doi:10.7150/jca.56387 This issue Cite

Research Paper

Analysis of Factors Influencing Relapse and Pregnancy in Patients with Borderline Ovarian Tumors

Ya Qi, Min Wang Corresponding address, Yuwei Yang, Zhi Zeng, Yingying Zhou

Department of Gynecology and Obstetrics, Shengjing Hospital Affiliated of China Medical University, Shenyang, Liaoning, China.

Citation:
Qi Y, Wang M, Yang Y, Zeng Z, Zhou Y. Analysis of Factors Influencing Relapse and Pregnancy in Patients with Borderline Ovarian Tumors. J Cancer 2021; 12(17):5275-5285. doi:10.7150/jca.56387. https://www.jcancer.org/v12p5275.htm
Other styles

File import instruction

Abstract

Graphic abstract

Objective: This retrospective study analyzed the factors affecting recurrence in patients after surgery with borderline ovarian tumors and postoperative recurrence and pregnancy after fertility-sparing surgery (FSS), to provide guidance for clinical treatment of borderline ovarian tumors and propose a therapeutic strategy for fertility protection.

Methods: A total of 415 patients with borderline ovarian tumors were initially operated on in the gynecology ward of Shengjing Hospital Affiliated with China Medical University from September 1, 2013, to September 1, 2019. Central pathology review and prospective follow-up were carried out. The clinical and pathological data were consulted through the medical record query system of our hospital. The recurrence and pregnancy of the patients were investigated through telephone follow-up and outpatient and inpatient medical records. The influence of clinical and pathological variables on recurrence and pregnancy were evaluated using univariate/multivariate analyses.

Results: In this study, 415 patients were collected, of which 21 lost follow-up, and a total of 394 eligible patients were included in the analysis. Among these patients, 25 patients relapsed with a recurrence rate of 6.3% and there were 196 patients with fertility-sparing surgery, of the 63 patients attempting to conceive, 35 were able to attain pregnancy with a pregnancy rate of 55.6%. All patients survived until the follow-up deadline. In univariate and multivariate analyses, FSS, FIGO stage, and micropapillary pattern were independent risk factors for recurrence of BOTs. FIGO stage, micropapillary pattern were independent risk factors for recurrence of BOTs with FSS. The risk of recurrence was not related to omentectomy nor postoperative chemotherapy. While omentectomy and chemotherapy had an impact on the pregnancy rate (P <0.05) and the pregnancy rate of patients without omentectomy or chemotherapy was higher.

Conclusion: Omentectomy did not affect recurrence and it is not recommended as a routine operation. Adjuvant chemotherapy does not reduce the recurrence rate. While omentectomy and chemotherapy had an impact on the pregnancy rate, and both of them should be carried out more carefully in patients with fertility requirements.

Keywords: borderline ovarian tumor, recurrence, fertility preservation, pregnancy

Introduction

Borderline ovarian tumor (BOT) refers to a non-proliferative disease that does not destroy the ovarian basal layer. Its histopathology and biological behavior are between benign and malignant tumors, accounting for 10% of epithelial ovarian tumors [1,2]. BOTs grow slowly and most of them have a favorable prognosis. Approximately 75% of patients at the time of diagnosis are in FIGO stage I [3] and the 5-year and 10-year survival rates of BOT women with stage I are impressive, about 95% -97% and 70% -95 %, respectively [4]. Even if diagnosed as an advanced stage (stage II-III), the 5-year survival rate can still reach 65-87% [4]. Borderline ovarian tumor (BOT) usually occurs in young women of childbearing age with a median age of onset of 45 years. Notably, the proportion of patients under 40 years old is 34% [5]. Given the reproductive age and good prognosis, fertility preservation is an important factor in planning treatment for young patients with borderline ovarian tumors [6]. The etiology of BOT is multifaceted and has not been fully delineated at present, but estrogen, obesity, smoking, drinking, and heredity have been implicated [7]. Infertility may also increase the risk of BOT [8]. The BRCA mutation rate of BOT is lower than that of fallopian tube/ovarian cancer in terms of molecular genetics [9].

The common histopathological types of BOT are serous borderline tumor (SBOT), mucinous borderline tumor (MBOT), and other rare types such as seromucous borderline tumor, endometrioid tumor, clear cell tumor, and Brenner tumor [10]. Moreover, the histological classification of SBOT includes the classical type and micropapillary type which has been reported may be associated with disease recurrence [11].

BOT is mainly treated by radical or conservative surgery according to whether fertility is retained. For the past few years, with the implementation of the two-child policy in China, more and more attention has been paid from a radical approach to more conservative treatment-fertility sparing surgery (FSS). The main issue with FSS is whether it will affect the risk of disease recurrence and postoperative pregnancy outcomes. BOT patients have a good prognosis and most of the recurrence can be treated with surgery as well. However, there is still no consensus on the influencing factors of BOT patients' recurrence. Most studies have shown that staging, invasive implantation, and FSS may affect the recurrence of BOT [12,13], but whether the micropapillary pattern, preoperative CA125 level, lymph node dissection, and omentum resection affect the recurrence is controversial. Still, factors related to obstetric outcomes after FSS remain controversial. It has been reported that the pregnancy rate may be related to age and preoperative fertility, and the pregnancy rate is higher in young patients with preoperative reproductive history [14,15].

Investigating the related factors of BOT recurrence and obstetric outcomes after FSS is important for prognosis predicting, post-operative monitoring, and appropriate counseling for patients. There have been few studies to concern the factors of recurrence and subsequent obstetric outcomes after conservative surgery.

This study retrospectively analyzed the clinicopathological and biological data of 415 patients with borderline ovarian tumors to study the influencing factors of BOT recurrence and further explore the recurrence and pregnancy of fertility-sparing surgery, to provide references for clinical treatment of BOT.

Materials and methods

Research object

General data was collected from clinical data of patients who met the following criteria in the gynecology ward of Shengjing Hospital affiliated to China Medical University from September 1, 2013 to September 1, 2019.

Inclusion criteria

Patients with initial treatment and operation in Shengjing Hospital affiliated to China Medical University. Postoperative paraffin pathology was diagnosed as borderline ovarian tumors by a blind independent reading of two physicians above the associate professor level. Complete clinical data.

Exclusion criteria

Patients who received initial treatment in Shengjing Hospital affiliated to China Medical University without surgery. Complicated with gynecological malignant tumors or have a history of other malignant tumors. Complicated with severe heart, lung, liver, kidney dysfunction, etc. Incomplete clinical data.

Research methods

Collection of clinicopathological and biological data of study objects

The hospital medical record inquiry system was used to analyze the clinicopathological data of patients who met the inclusion criteria, such as age, smoking history (none, yes), drinking history (none, yes), obesity (BMI <25, BMI ≥25), history of estrogen use (none, yes), genetic history (none, yes), marital status (unmarried, married, divorced), sexual history (none, yes), preoperative fertility (none, yes), menopause (no, yes), chief complaint (abdominal pain and abdominal distension, touching mass, physical examination findings, others), tumor size (< 10 cm, ≥10 cm), tumor location (unilateral, bilateral), pathology (serous, mucinous, others), micropapillary pattern (none, yes), invasive implantation (no, yes), surgical approach (laparotomy, laparoscopy), lymphadenectomy (no, yes), omentectomy (no, yes), FSS (no, yes), FIGO stage (FIGO stage I, ≥FIGO stage II, unstaged), clinical stage (clinical stage I, ≥clinical stage II), and biological information: preoperative tumor marker CA125 (normal ≤35 U/ml, rise >35 U/ml), CA199 (normal ≤ 37 U/ml, rise >37 U/ml), CEA (normal ≤5 ng/ml, rise > 5 ng/ml), HE4 (normal <140 pmol/L, rise ≥ 140 pmol/L), ROMA-Before (normal <11.4%, rise ≥11.4%) and ROMA-After (normal <29.9%, rise ≥29.9%) were summarized.

Judgment criteria

FSS: the uterus and at least one ovary were reserved. The surgical methods were divided into unilateral salpingo-oophorectomy (USO), unilateral cystectomy (UC), bilateral cystectomy (BC), and ipsilateral adnexectomy combined with contralateral ovarian cystectomy (USO+CC). Excision of visual lesions, multiple peritoneal biopsies, greater omentum excision or biopsies, and peritoneal flushing cytology were performed at the same time; that is, staging operations to preserve fertility function.

Surgery without preserving reproductive function: including total hysterectomy + bilateral adnexectomy. Peritoneal irrigation + resection of extra-ovarian lesions, greater omentum resection + peritoneal exploratory multi-point biopsy, and MBOT appendectomy at the same time, that is, complete staging operation.

The patients who met the inclusion criteria were staged according to their clinicopathological data and surgical records according to the surgical and pathological stages of ovarian cancer, fallopian tube cancer, and primary peritoneal cancer (FIGO, 2014) [16].

Micropapillary pattern serous borderline ovarian tumor (MP-SBOT) is a special type of SBOT. The diagnostic criteria include the fused micropapillary structure diameter of the tumor> 5 mm, and the atypical tumor cell nucleus is more obvious than ordinary SBOT. MP-SBOT is more prone to peritoneal implanted lesions, has a higher recurrence rate, and has a worse prognosis than ordinary SBOT [17].

Recurrence: clinical remission was achieved after surgical treatment, and tumor markers increased 3 months later, combined with imaging diagnosis of ovarian or pelvic mass or recurrence confirmed by pathology after reoperation.

Follow-up

Through telephone follow-up and inquiry of outpatient and inpatient medical records, we can know the postoperative condition of the patients, not only whether they are receiving adjuvant chemotherapy, whether they relapse after operations, whether they are willing to give birth, whether they are pregnant after surgery, but also the way and outcome of pregnancy.

The deadline for follow-up is December 2019.

Data Analysis

The statistical software SPSS23.0 was used for calculation. The measurement data that conformed to the normal distribution were expressed as mean ± standard deviation, and the comparison between groups was performed by t-test. The measurement data of non-normal distribution was represented by a median, and the rank-sum test of nonparametric test was used for group comparison. The adoption rate of counting data was expressed by chi-square test and Fisher exact probability method. The variables with statistically significant differences in univariate analysis were included in the COX regression model and Logistic regression model for multivariate analysis. The difference is statistically significant at P <0.05.

Results

Situation analysis of the research object

A total of 415 patients who met the inclusion criteria were collected, of which 21 were lost to follow-up, with a loss rate of 5.1%. A total of 394 BOT patients were included in the study. The minimum age was 12 years, the maximum was 80 years, and the median was 38.5 years. Follow-up time was 4-76 months, with a median follow-up time of 36.5 months. Up to the end of the follow-up, there were no deaths. The clinicopathological and biological data of the patients and their judgment standards are shown in Table 1.

 Table 1 

Clinicopathological and biological data of BOT patients

CharacteristicPeoplePercentage (%)
Median age (minimum, maximum)38.5 (12, 80)
Smoking history
none38096.4
yes143.6
Drinking history
none38798.2
yes71.8
Obesity
BMI <2530777.9
BMI ≥258722.1
History of estrogen use
none38698.0
yes82.0
Genetic history
none39299.5
yes20.5
Marital status
unmarried7719.5
married30878.2
divorced92.3
Sexual history
none4110.4
yes35389.6
Preoperative fertility
none14436.5
yes25063.5
Menopause
no30677.7
yes8822.3
Chief complaint
Abdominal pain and abdominal distention13233.5
Touching mass328.1
Physical examination findings19449.2
Others369.2
Tumor size
<10 cm23659.9
≥10 cm15840.1
Tumor site
Unilateral29675.1
Bilateral9824.9
CA125
normal ≤35 U/ml16341.4
rise >35 U/ml23158.6
CA199
normal ≤37 U/ml31178.9
rise >37 U/ml8321.1
CEA
normal ≤5 ng/ml38196.7
rise >5 ng/ml133.3
HE4
normal < 140 pmol/L37595.2
rise ≥ 140 pmol/L194.8
ROMA-Before
normal <11.4%27088.2
rise ≥11.4%3611.8
ROMA-After
normal <29.9%7989.8
rise ≥29.9%910.2
Pathology
Serous22857.9
Mucinous11328.7
Others5313.4
Micropapillary pattern
none36392.1
yes317.9
Invasive implantation
no37093.9
yes246.1
Surgical approach
Laparotomy28572.3
Laparoscopy10927.7
Lymphadenectomy
no24361.7
yes15138.3
Omentectomy
no20351.5
yes19148.5
FSS
no19850.3
yes19649.7
FIGO stage
FIGO stage I15078.5
≥FIGO stage II4121.5
Chemotherapy
no35189.1
yes4310.9

Influencing factors of recurrence in patients with BOT

Univariate analysis of influencing factors of recurrence in patients with BOT

A total of 25 patients relapsed, with a recurrence rate of 6.3%. The shortest interval of recurrence was 3 months and the longest was 48 months. The average time of recurrence was 24.0±14.0 months. Through univariate analysis, we found that the age, preoperative fertility, tumor site, invasive implantation, FSS, and FIGO stage all affected BOT recurrence, and the differences were statistically significant (P <0.05). However, smoking history, drinking history, obesity, history of estrogen use, genetic history, marital status, sexual history, preoperative fertility, menopause, chief complaint, tumor size, tumor site, preoperative tumor markers CA125, CA199, CEA, HE4, ROMA-Before, ROMA-After, pathology, micropapillary pattern, invasive implantation, surgical approach, lymphadenectomy, omentectomy, FSS, FIGO stage, postoperative chemotherapy and pregnancy before recurrence all did not affect recurrence, the results showed no statistical significance (P > 0.05) (Table 2).

The median age of the recurrence group was 28 years old, which was lower than that of the non-recurrence group 40 years old. The difference between the two groups was statistically significant (Z = -3.781, P = 0.000). The recurrence rate of patients with no preoperative fertility was higher than that of patients with preoperative fertility (12.5% vs 2.8%), and the difference was statistically significant (χ² =14.467, P=0.000). In a series of 394 patients, 12 of 296 (4.1%) relapsed with unilateral tumors and 13 of 98 (13.3%) with bilateral tumors. There was a significant difference between the two groups (χ²=10.512, P=0.001. Postoperative paraffin pathology showed that the recurrence rates of micropapillary pattern and non-micropapillary patterns were 19.4% and 5.2% respectively, and there was a significant difference between the two groups (χ²=7.357, P=0.007). Pathology showed that 5 of 24 (20.8%) patients with invasive implantation relapsed, and the recurrence rate of patients without invasive implantation was 5.4%. There was a significant difference between the two groups (χ²=6.618, gtP=0.010). 20 of 196 (10.2%) cases relapsed of FSS and 5 of 198 (2.5%) without preserving reproductive function, the difference between the two groups was statistically significant (χ²=9.773, P=0.002). The recurrence rate was 2% in FIGO stage I, 19.5% in FIGO stage II and above. The difference was statistically significant (χ²=15.110, P=0.000) (Table 2).

However, we found lymphadenectomy, omentectomy, postoperative chemotherapy, and pregnancy before recurrence all did not affect recurrence, the results showed no statistical significance (P > 0.05) (Table 2).

Multivariate analysis of influencing factors of recurrence in patients with BOT

Variables with statistically significant differences in univariate analysis: age, preoperative fertility, tumor site, micropapillary pattern, invasive implantation, FSS, and FIGO stage were included in the multivariate Cox regression model and Logistic regression model, and the data were processed by the virtual variable method. The results were shown in Tables 3 & 4.

 Table 2 

Univariate analysis of factors affecting recurrence in patients with BOT

No recurrence (%)Recurrence (%)χ2/ZP
Median age4028-3.7180.000*
Smoking history
none357 (93.9)23 (6.1)0.221
yes12 (85.7)2 (14.3)
Drinking history
none363 (93.8)24 (6.2)0.370
yes6 (85.7)1 (14.3)
Obesity
BMI <25285 (92.8)22 (7.2)1.5770.209
BMI ≥2584 (96.6)3 (3.4)
History of estrogen use
none362 (93.8)24 (6.2)0.411
yes7 (87.5)1 (12.5)
Genetic history
none367 (93.6)25 (6.4)1.000
yes2 (100.0)0 (0.0)
Marital status
unmarried68 (88.3)9 (11.7)0.125
married292 (94.8)16 (5.2)
divorced9 (100.0)0 (0.0)
Sexual history
none36 (87.8)5 (12.2)1.6510.199
yes333 (94.3)20 (5.7)
Preoperative fertility
none126 (87.5)18 (12.5)14.4670.000*
yes243 (97.2)7 (2.8)
Menopause
no283 (92.5)23 (7.5)3.1620.075
yes86 (97.7)2 (2.3)
Chief complaint
Abdominal pain and abdominal distention120 (90.9)12 (9.1)0.484
Touching mass30 (93.8)2 (6.2)
Physical examination findings184 (94.8)10 (5.2)
Others35 (97.2)1 (2.8)
Tumor size
<10 cm222 (94.1)14 (5.9)0.1690.681
≥10 cm147 (93.0)11 (7.0)
Tumor site
Unilateral284 (95.9)12 (4.1)10.5120.001*
Bilateral85 (86.7)13 (13.3)
CA125
normal ≤35 U/ml155 (95.1)8 (4.9)0.9660.326
rise >35 U/ml214 (92.6)17 (7.4)
CA199
normal ≤37 U/ml292 (93.9)19 (6.1)0.1380.710
rise >37 U/ml77 (92.8)6 (7.2)
CEA
normal ≤5 ng/ml357 (93.7)24 (6.3)0.579
rise >5 ng/ml12 (92.3)1 (7.7)
HE4
normal < 140 pmol/L350 (93.3)25 (6.7)0.4630.496
rise ≥ 140 pmol/L19 (100.0)0 (0.0)
ROMA-Before
normal <11.4%249 (92.2)21 (7.8)0.0190.890
rise ≥11.4%34 (94.4)2 (5.6)
ROMA-After
normal <29.9%78 (98.7)1 (1.3)0.195
rise ≥29.9%8 (88.9)1 (11.1)
Pathology
Serous211 (92.5)17 (7.5)0.371
Mucinous106 (93.8)7 (6.2)
Others52 (98.1)1 (1.9)
Micropapillary pattern
none344 (94.8)19 (5.2)7.3540.007*
yes25 (80.6)6 (19.4)
Invasive implantation
no350 (94.6)20 (5.4)6.6180.010*
yes19 (79.2)5 (20.8)
Surgical approach
Laparotomy264 (92.6)21 (7.4)1.8150.178
Laparoscopy105 (96.3)4 (3.7)
Lymphadenectomy
no227 (93.4)16 (6.6)0.0610.805
yes142 (94.0)9 (6.0)
Omentectomy
no189 (93.1)14 (6.9)0.2140.643
yes180 (94.2)11 (5.8)
FSS
no193 (97.5)5 (2.5)9.7730.002*
yes176 (89.8)20 (10.2)
FIGO stage
FIGO stage I147 (98.0)3 (2.0)15.1100.000*
≥FIGO stage II33 (80.5)8 (19.5)
Postoperative chemotherapy
no329 (93.7)22 (6.3)0.0001.000
yes40 (93.0)3 (7.0)
Pregnancy before recurrence
no337 (93.6)23 (6.4)0.0001.000
yes32 (94.1)2 (5.9)

Note: *Indicates that the difference is statistically significant, P <0.05.

 Table 3 

COX Multivariate analysis of factors affecting recurrence in patients with BOT

BS.E.WaldPHR95% CI
LowerUpper
FIGO stage2.9020.72016.2520.00018.2044.44174.618
FSS2.7030.63518.1470.00014.9314.30451.794
MP1.4560.4908.8310.0034.2891.64211.205
 Table 4 

Logistic multivariate analysis of factors affecting recurrence in patients with BOT

BS.E.WaldPHR95% CI
LowerUpper
FIGO stage3.0160.85012.5780.00020.4063.854108.038
FSS1.9890.8485.4970.0197.3051.38638.510
MP1.7860.6138.4910.0045.9651.79419.828

COX multivariate analysis results: FIGO stage, FSS, and micropapillary pattern were independent risk factors affecting BOT recurrence. Among them, FIGO stage II and above increased the risk of recurrence by 18.204 times compared with stage I (HR=18.204, 95% CI=4.441~74.618). The risk of FSS was 14.931 times higher than that without fertility preservation operation (HR = 14.931, 95% CI = 4.304~51.794). The risk of recurrence was 4.289 times higher in those with micropapillary patterns than in those without micropapillary patterns (HR=4.289, 95% CI=1.642~11.205).

Logistic multivariate analysis results: FIGO stage, FSS, and micropapillary pattern were independent risk factors affecting BOT recurrence. Among them, FIGO stage II and above increased the risk of recurrence by 20.406 times compared with stage I (OR=20.406, 95% CI=3.854~108.038). The risk of FSS was 7.305 times higher than that without fertility preservation operation (OR=7.305, 95% CI=1.386~38.510). The risk of recurrence was 5.965 times higher in those with micropapillary patterns than in those without micropapillary patterns (OR=5.965, 95% CI=1.794~19.828).

Postoperative status of BOT patients with FSS

Postoperative recurrence of BOT patients with FSS

The recurrence rate of 4.1% of patients with preoperative fertility was lower than that of 13.8% of patients without preoperative fertility, and the difference was statistically significant (χ²=4.715, P=0.030). 12 of 163 (7.4%) cases recurred of unilateral tumors and 8 of 33 (24.2%) of bilateral tumors, the difference was statistically significant (P=0.008). Postoperative paraffin pathology showed that the recurrence rates of micropapillary patterns and no micropapillary patterns were 30.8% and 8.7%, respectively. The difference between the two groups was statistically significant (χ²=4.248, P=0.039). Compared with laparoscopic surgery, the recurrence rate of laparotomy was higher (14.3% vs 4.8%). The difference was statistically significant (χ²=4.752, P=0.029). Regarding the comparison of USO with UC, 5 cases recurred after UC with a recurrence rate of 8.9%, which was higher than that of 6.5% after USO. There was no significant difference between the two groups (χ²=0.057, P=0.812). Compared with USO+CC, the recurrence rate of BC was lower (18.7% vs 29.4%). There was no significant difference between the two groups (P=0.688). The recurrence rate of FIGO stage I patients was 6.9%, and that of stage II and above patients was 50.0%, the difference was statistically significant (P=0.013). The recurrence rate in mucinous BOT patients with FSS was 12.5%, and that in mucinous BOT patients with FSS was 9.3%, the difference was not statistically significant (P=0.512) (Table 5).

Variables with statistically significant differences in univariate analysis: preoperative fertility, tumor site, micropapillary pattern, surgical approach, FIGO stage, and age were included in the multivariate Cox regression model and Logistic regression model, and the data were processed by a virtual variable method. The results were shown in Tables 6 & 7.

COX multivariate analysis results: FIGO stage and micropapillary pattern were independent risk factors that affect the recurrence in BOT patients with FSS. Among them, FIGO stage II and above increased the risk of recurrence by 21.286 times compared with stage I (HR=21.286, 95% CI=3.622~125.103). The risk of recurrence was 4.593 times higher in those with micropapillary patterns than in those without micropapillary patterns (HR=4.593, 95% CI=1.505~14.016).

 Table 5 

Univariate analysis of factors affecting recurrence in BOT patients with FSS

No recurrence (%)Recurrence (%)χ2/ZP
Median age3026.5-1.6470.100
Smoking history
none173 (90.1)19 (9.9)0.352
yes3 (75.0)1 (25.0)
Drinking history
none173 (89.6)20 (10.4)1.000
yes3 (100.0)0 (0.0)
Obesity
BMI <25144 (89.4)17 (10.6)0.0020.965
BMI ≥252 (66.7)1 (33.3)
History of estrogen use
none174 (90.2)19 (9.8)0.277
yes7 (87.5)1 (12.5)
Genetic history
none175 (93.6)20 (6.4)1.000
yes1 (100.0)0 (0.0)
Marital status
unmarried65 (87.8)9 (12.2)0.759
married107 (90.7)11 (9.3)
divorced4 (100.0)0 (0.0)
Sexual history
none35 (87.5)5 (12.5)0.0600.806
yes141 (90.4)15 (9.6)
Preoperative fertility
none106 (86.2)17 (13.8)4.7150.030*
yes70 (95.9)3 (4.1)
Menopause
no172 (90.1)19 (9.9)0.420
yes4 (80.0)1 (20.0)
Chief complaint
Abdominal pain and abdominal distention54 (87.1)8 (12.9)0.802
Touching mass14 (87.5)2 (12.5)
Physical examination findings96 (91.4)9 (8.6)
Others12 (92.3)1 (7.7)
Tumor size
<10 cm105 (89.7)12 (10.3)0.0010.977
≥10 cm71 (89.9)8 (10.1)
Tumor site
Unilateral151 (92.6)12 (7.4)6.7920.009*
Bilateral25 (75.8)8 (24.2)
CA125
normal ≤35 U/ml79 (90.8)8 (9.2)0.1740.677
rise >35 U/ml97 (89.0)12 (11.0)
CA199
normal ≤37 U/ml139 (90.3)15 (9.7)0.0150.902
rise >37 U/ml37 (88.1)5 (11.9)
CEA
normal ≤5 ng/ml171 (90.0)19 (10.0)0.480
rise >5 ng/ml5 (83.3)1 (16.7)
HE4
normal <140 pmol/L167 (89.3)20 (10.7)0.602
rise ≥140 pmol/L9 (100.0)0 (0.0)
ROMA-Before
normal <11.4%152 (89.4)18 (10.6)0.2070.649
rise ≥11.4%20 (95.2)1 (4.8)
Pathology
Serous84 (87.5)12 (12.5)0.512
Mucinous68 (90.7)7 (9.3)
Others24 (96.0)1 (4.0)
Micropapillary pattern
none167 (91.3)16 (8.7)4.2480.039*
yes9 (69.2)4 (30.8)
Invasive implantation
no174 (90.6)18 (9.4)0.053
yes2 (50.0)2 (50.0)
Surgical approach
Laparotomy96 (85.7)16 (14.3)4.7520.029*
Laparoscopy80 (95.2)4 (4.8)
Lymphadenectomy
no154 (90.6)16 (9.4)0.3470.556
yes22 (84.6)4 (15.4)
Omentectomy
no145 (91.2)14 (8.8)1.0810.298
yes31 (83.8)6 (16.2)
Surgical methods
Unilateral UC51 (91.1)5 (8.9)0.0570.812
USO100 (93.5)7 (6.5)
Bilateral BC13 (81.3)3 (18.7)0.688
UC+CC12 (70.6)5 (29.4)
FIGO stage
FIGO stage I27 (93.1)2 (6.9)0.013*
≥FIGO stage II4 (50.0)4 (50.0)
Postoperative chemotherapy
no169 (89.4)20 (10.6)1.000
yes7 (100.0)0 (0.0)
Pregnancy before recurrence
no144 (88.9)18 (11.1)0.3650.546
yes32 (94.1)2 (5.9)

Note: *Indicates that the difference is statistically significant, P <0.05.

 Table 6 

COX Multivariate analysis of factors affecting recurrence in BOT patients with FSS

BS.E.WaldPHR95% CI
LowerUpper
FIGO stage3.0580.90411.4530.00121.2863.622125.103
MP1.5250.5697.1740.0074.5931.50514.016
 Table 7 

Logistic multivariate analysis of factors affecting recurrence in BOT patients with FSS

BS.E.WaldPHR95% CI
LowerUpper
FIGO stage3.2301.1158.4000.00425.2872.846224.697
MP1.9370.7486.7040.0106.9411.60130.085

Logistic multivariate analysis results: FIGO stage and micropapillary pattern were independent risk factors that affect the recurrence in BOT patients with FSS. Among them, FIGO stage II and above increased the risk of recurrence by 25.287 times compared with stage I (OR=25.287, 95% CI=2.846~224.697). The risk of recurrence was 6.941 times higher in those with micropapillary patterns than in those without micropapillary patterns (OR=6.941, 95% CI=1.601~30.085).

Postoperative pregnancy of BOT patients with FSS

There were 196 patients with fertility-sparing surgery, of the 63 patients attempting to conceive, 35 were able to attain pregnancy with a pregnancy rate of 55.6%. There were 40 pregnancies, including 30 cases of full-term delivery, 1 case of premature delivery, 8 cases of abortion, and 1 case of ectopic pregnancy. Among them, 2 patients were conceived by assisted reproduction, 1 case was successful full-term pregnancy, 1 case was spontaneous abortion, and the other patients were conceived naturally. There were 5 cases of cesarean section, and the rest of the patients delivered naturally. Newborns are in good health. The median time from the end of treatment to pregnancy was 12 months. The shortest pregnancy interval was 1 month and the longest was 48 months.

Univariate analysis of factors that may affect pregnancy in those with fertility requirements was shown in Table 8.

 Table 8 

Univariate analysis of pregnancy factors in BOT patients with FSS

Non-pregnancy (%)Pregnancy (%)χ2/ZP
Median age28.526-1.2910.197
Smoking history
none27 (43.5)35 (56.5)0.444
yes1 (100.0)0 (0.0)
Drinking history
none28 (45.2)34 (54.8)1.000
yes0 (0.0)1 (100.0)
Obesity
BMI <2523 (43.4)30 (56.6)0.0010.969
BMI ≥255 (50.0)5 (50.0)
History of estrogen use
none27 (43.5)35 (1.2)0.444
yes1 (100.0)0 (0.0)
Genetic history
none28 (45.2)34 (54.8)1.000
yes0 (0.0)1 (100.0)
Preoperative fertility
none28 (46.7)32 (53.3)0.247
yes0 (0.0)3 (100.0)
Chief complaint
Abdominal pain and
abdominal distention
7 (36.8)12 (63.2)0.357
Touching mass2 (100.0)0 (0.0)
Physical examination
findings
18 (47.4)20 (52.6)
Others1 (25.0)3 (75.0)
Tumor size
<10 cm20 (45.5)24 (54.5)0.0600.806
≥10 cm8 (42.1)11 (57.9)
Tumor site
unilateral19 (40.4)28 (59.6)1.2110.271
bilateral9 (56.3)7 (43.7)
CA125
normal ≤35 U/ml8 (38.1)13 (61.9)0.5140.473
rise >35 U/ml20 (47.6)22 (52.4)
CA199
normal ≤37 U/ml22 (42.3)30 (57.7)0.1670.683
rise >37 U/ml6 (54.5)5 (45.5)
CEA
normal ≤5 ng/ml27 (43.5)35 (56.5)0.444
rise >5 ng/ml1 (100.0)0 (0.0)
HE4
normal <140 pmol/L26 (42.6)35 (57.4)0.194
rise ≥140 pmol/L2 (100.0)0 (0.0)
ROMA-Before
normal <11.4%24 (42.1)33 (57.9)0.393
rise ≥11.4%4 (66.7)2 (33.3)
Pathology
serous18 (42.9)24 (57.1)0.143
mucinous4 (30.8)9 (69.2)
others6 (75.0)2 (25.0)
Micropapillary pattern
none23 (41.8)32 (58.2)0.449
yes5 (62.5)3 (37.5)
Invasive implantation
no27 (43.5)35 (56.5)0.444
yes1 (100.0)0 (0.0)
Surgical approach
laparotomy13 (39.4)20 (60.6)0.7160.397
laparoscopy15 (50.0)15 (50.0)
Lymphadenectomy
no20 (40.0)30 (60.0)1.9380.164
yes8 (61.5)5 (38.5)
Omentectomy
no17 (37.0)29 (63.0)3.8710.049*
yes11 (64.7)6 (35.3)
Surgical methods
unilateral UC5 (33.3)10 (66.7)0.4600.498
USO14 (43.8)18 (56.2)
bilateral BC6 (60.0)4 (40.0)1.000
UC+CC3 (50.0)3 (50.0)
FIGO stage
FIGO stage I6 (50.0)6 (50.0)0.102
≥FIGO stage II5 (100.0)0 (0.0)
Postoperative chemotherapy
no24 (40.7)35 (59.3)0.034*
yes4 (100.0)0 (0.0)
Recurrence before pregnancy
no23 (40.4)34 (59.6)0.080
yes5 (83.3)1 (16.7)

Note: *Indicates that the difference is statistically significant, P <0.05.

The omentectomy and chemotherapy affected pregnancy, and the difference was statistically significant (P <0.05). The pregnancy rates of patients without omentectomy or omentectomy were 63% and 35.3% respectively, and the difference was statistically significant (P=0.049). Four patients received postoperative chemotherapy, all of them were not pregnant, and the pregnancy rate in the non-chemotherapy group was 59.3%. The difference was statistically significant (P=0.034).

Discussion

Alvarez et al. [18] reported that the postoperative recurrence rate of BOT patients was 12% to 58%, while the recurrence rate of surgery without retaining reproductive function was only 5%. Seong and others [14] have similar reports that the recurrence rate of BOT patients after operating without retaining fertility function is about 5%, while that of FSS is 10%-20%. Most of the patients relapse in the remaining ovarian tissue, and most of the recurrence is still borderline tumors, and even FSS can be performed again [2]. In this study, the total recurrence rate of BOT patients was 6.3%, and the recurrence rate of BOT patients who underwent FSS was 10.2%, which was consistent with the literature report. Although the recurrence rate of BOT patients with FSS was significantly increased, the survival rate was not affected [19,20]. A meta-analysis of 74 patients concluded that the recurrence rate of FSS was significantly higher (OR= 3.87; 95%CI=1.02-12.44; P = 0.02), but the survival rate did not decrease (5-year survival rate: OR = 0.85; 95% CI=0.03-23.82 and 7-year survival rate: OR = 0.80; 95%CI=0.08-8.41) [21]. It showed that although FSS will increase the risk of disease recurrence, it was safe and feasible.

Through retrospective analysis, we found that age, preoperative fertility, tumor site, micropapillary pattern, invasive implantation, FSS, and FIGO stage were risk factors for BOT recurrence. It has been reported that age is a related factor for recurrence in patients with BOT, and younger patients are more likely to relapse [22]. The analysis of Harris et al. [23] shows that the times of pregnancy are inversely proportional to the risk of BOT. Studies by Riman et al. [24] also show that women who have given birth more than once have a lower risk of developing BOT than women who have never given birth. The results in this article suggest that the recurrence rate of patients with preoperative fertility is lower than that of patients without preoperative fertility, suggesting that preoperative fertility also affects the recurrence of BOT. UzanC et al. [25] identified bilateral tumors as a risk factor for recurrence, and the 5-year recurrence-free survival rates for patients with unilateral and bilateral tumors were 71% and 48%, respectively (P = 0.05). Research by Alvarez [18] shows that the recurrence rate is higher in patients with micropapillary patterns or invasive implantation. Hamdullah et al. [11] believe that FSS and micropapillary pattern are both independent risk factors for BOT recurrence. Shih et al. [26] concluded research that the age of the patient at the time of onset, the micropapillary pattern of the tumor, the presence of invasive implantation, the residual lesion, and the level of CA125 before operating are the independent risk factors for the recurrence of BOT. However, there are also reports in the literature that preoperative CA125 levels are not related to BOT recurrence [12], and this article does not suggest the correlation between preoperative tumor markers and recurrence. Park et al. [27] believe that micropapillary pattern is not an independent risk factor for BOT recurrence. However, Nayyar et al.'s studies have shown that the most important predictors of recurrence are the FIGO stage at the time of surgery, the presence of invasive implants, and the presence of visible residual lesions [8].

Through multivariate analysis, we found that FSS, FIGO stage, and micropapillary pattern are independent risk factors affecting BOT recurrence.

FIGO stage, micropapillary pattern are independent risk factors for the recurrence of BOT patients with FSS. Therefore, attention should be paid to follow-up for patients with FSS, FIGO stage II and above, and postoperative paraffin pathology indicates micropapillary pattern.

The recurrence rate of laparotomy in FSS patients is higher than in laparoscopic surgery (14.3% vs 4.8%), P = 0.029, the difference is statistically significant. In laparoscopic surgery, tumor rupture is more common than laparotomy. Among them, tumors with a diameter of> 10cm are more likely to rupture. However, most studies have not found the impact of tumor rupture on recurrence rate and recurrence-free survival [28]. Studies have shown that laparoscopic surgery with FSS does not increase the postoperative recurrence rate compared with laparotomy surgery [15]. In this study, the univariate analysis found that the recurrence rate of laparoscopic surgery was low. This may be because the application of the bag reduces the iatrogenic spread caused by tumor rupture, or it may be due to the short follow-up time, or the bias caused by the difference in staging between the two groups.

FSS has the following surgical methods: UC, USO, BC, USO + CC. Morice et al. [29] showed that unilateral appendectomy can maintain good reproductive ability, and the tumor recurrence rate is lower than unilateral cystectomy. Therefore, studies tend to recommend unilateral appendectomy for young patients with unilateral BOT who wish to maintain fertility [29,30]. For patients with bilateral BOT, Studies have shown that bilateral cystectomy and unilateral appendectomy + contralateral cystectomy have no difference in recurrence rate [31]. But a study by Palomba et al. [32] shows that bilateral cystectomy not only has a higher pregnancy rate than unilateral appendectomy and contralateral cystectomy but also shortens the conception time, so it is more inclined to recommend bilateral cystectomy. There is no significant difference in the recurrence rate and pregnancy rate between different surgical methods in this article.

The recurrence rate in ser BOT patients with FSS was 12.5%, and that in mucinous BOT patients with FSS was 9.3%, the difference was not statistically significant (P=0.512). A meta-analysis of patients concluded that the recurrence rate for FSS in mucinous BOT was higher than in other pathological tissues [33]. While studies by Uzan et al. [34] also show significant differences in recurrence rate after FSS among different pathological tissues. This phenomenon could be related to the limited sample size and follow-up time in the single-center study.

Some literature reports [2] indicate that the pregnancy rate with FSS reaches 50%, and most of them can achieve natural conception. There were 35 pregnancies in this study, with a pregnancy rate of 55.6%, of which only 2 were assisted reproduction and the remaining patients were spontaneously conceived, which is consistent with the literature report. The median time from the end of treatment to pregnancy was 12 months, with the shortest time interval of 1 month and the longest time interval of 48 months. At this stage, the best time for pregnancy after BOT is still inconclusive, some scholars believe that 1-2 years after pregnancy can avoid early pregnancy to increase the risk of recurrence [35], but the ovarian function decreases with the increase of age, which may increase the rate of infertility. Therefore, it is recommended that patients with BOT can try a pregnancy within 6 to 12 months after surgery to avoid the peak of recurrence [36]. For chemotherapy patients, chemotherapy drugs should be stopped for half a year to one year before pregnancy, to avoid the risk of teratogenesis [37]. The four chemotherapy patients in this article were not pregnant after surgery, and the pregnancy rate in the non-chemotherapy group was 59.3%, P = 0.034, the difference was statistically significant. It suggests that postoperative chemotherapy is a factor that affects the pregnancy of FSS patients with fertility requirements, and the pregnancy rate is higher in patients without chemotherapy. Some studies believe that whether early or late BOT, postoperative adjuvant chemotherapy cannot reduce the relapse rate or improve survival rate [14].

It is worthy to mention that our study did not find that lymphadenectomy and omentectomy have an effect on the recurrence of BOT patients. Whether lymphadenectomy affects recurrence has been controversial. Chen et al. [12] believe that lymphadenectomy is an independent risk factor for BOT recurrence, but there are also reports in the literature that lymphadenectomy is not related to recurrence [38]. The 2019 NCCN guidelines suggest that lymphadenectomy does not affect overall survival, and omentectomy may affect prognosis [39]. At present, most literature does not recommend routine lymphadenectomy. Trillsch et al. [40] found that the absence of omentectomy would increase the risk of recurrence in patients with BOT. However, there are also reports in the literature that omentectomy is not related to recurrence [41]. It is reported that 8%-17% of patients with a macroscopically normal omentum had microscopic disease [42]. Sofiane et al. reported that occult omental disease was found in 0.0 and 60.0% of patients with stages I, II, and III, respectively. Only 3.5% of patients with mucinous BOTs had omental disease compared to 45.1% of those with serious BOTs. For the purpose of staging omental biopsies are probably sufficient in a grossly normal appearing omentum [28]. The rate of pregnancy in patients without omentectomy was higher than that in patients with omentectomy (63.0% vs 35.3%), which may be due to the small scope of surgery and the low incidence of pelvic adhesions after surgery. Therefore, omentectomy is not recommended as a routine operation. Adjuvant chemotherapy does not reduce the recurrence rate and it should not be provided for patients except invasive peritoneal implantation and residual lesions. And for patients with FSS who have strong fertility requirements, avoiding adjuvant chemotherapy and omentectomy can help increase the pregnancy rate, but pay close attention to follow-up.

The limitation of this study is that this study is a single-center retrospective study, the number of included cases is limited, the follow-up time is insufficient, and a large sample randomized controlled study is still needed to verify.

Conclusion

The total recurrence rate of BOT patients was 6.3%. Univariate analysis found that age, preoperative fertility, tumor site, micropapillary pattern, invasive implantation, FSS, and FIGO stage are factors that affect the recurrence of BOT patients. COX and Logistic multivariate analysis found that the FIGO stage, FSS, and micropapillary pattern are independent risk factors that affect BOT recurrence. COX multivariate analysis found that the recurrence risk increased by 18.204 times, 14.931 times, and 4.289 times, respectively. Logistic multivariate analysis found that the recurrence risk increased by 20.406 times, 7.305 times, and 5.965 times, respectively.

The recurrence rate of BOT patients with FSS is 10.2%. Univariate analysis found that preoperative fertility, tumor site, micropapillary pattern, surgical approach, and FIGO stage are factors that affect the recurrence of BOT patients with FSS. COX and Logistic multivariate analysis found that the FIGO stage and micropapillary pattern are independent risk factors that affect the recurrence in BOT patients with FSS. COX multivariate analysis found that the recurrence risk increased risk by 21.286 and 4.593 times, respectively. Logistic multivariate analysis found that the recurrence risk increased risk by 25.287 and 6.941 times, respectively.

There were 63 cases of BOT with fertility requirements, and the pregnancy rate was 55.6%. Univariate analysis found that omentectomy and chemotherapy are the factors affecting pregnancy in BOT patients with fertility requirements.

Acknowledgements

The work was supported by the Outstanding Scientific Fund of Shengjing Hospital (Grant No. 201705). And this work was also supported by the National Key Research and Development Program of China (2018YFC1004200).

Competing Interests

The authors have declared that no competing interest exists.

References

1. Ludovisi M, Foo X, Mainenti S, Testa AC, Arora R, Jurkovic D. Ultrasound diagnosis of serous surface papillary borderline ovarian tumor: A case series with a review of the literature. JCU. 2015;43:573-7

2. Tropé CG, Kaern J, Davidson B. Borderline ovarian tumours. Best Pract Res Clin Obstet Gynaecol. 2012;26:325-36

3. Sherman ME, Mink PJ, Curtis R. et al. Survival among women with borderline ovarian tumors and ovarian carcinoma: a population-based analysis. Cancer. 2004;100:1045-52

4. Leake JF, Rader JS, Woodruff JD, Rosenshein NB. Retroperitoneal lymphatic involvement with epithelial ovarian tumors of low malignant potential. Gynecol Oncol. 1991;42:124-30

5. Skírnisdóttir I, Garmo H, Wilander E, Holmberg L. Borderline ovarian tumors in Sweden 1960-2005: trends in incidence and age at diagnosis compared to ovarian cancer. Int J Cancer. 2008;123:1897-901

6. Helpman L, Beiner ME, Aviel-Ronen S. et al. Safety of ovarian conservation and fertility preservation in advanced borderline ovarian tumors. Fertil Steril. 2015;104:138-44

7. Rasmussen CB, Kjaer SK, Albieri V. et al. Pelvic Inflammatory Disease and the Risk of Ovarian Cancer and Borderline Ovarian Tumors: A Pooled Analysis of 13 Case-Control Studies. Am J Epidemiol. 2017;185:8-20

8. Rasmussen ELK, Hannibal CG, Dehlendorff C. et al. Parity, infertility, oral contraceptives, and hormone replacement therapy and the risk of ovarian serous borderline tumors: A nationwide case-control study. Gynecol Oncol. 2017;144:571-6

9. Fischerova D, Zikan M, Dundr P, Cibula D. Diagnosis, treatment, and follow-up of borderline ovarian tumors. The Oncologist. 2012;17:1515-33

10. Hart WR. Borderline epithelial tumors of the ovary. Mod Pathol Off J U S Can Acad Pathol Inc. 2005;18(Suppl 2):S33-50

11. Fang C, Zhao L, Chen X, Yu A, Xia L, Zhang P. The impact of clinicopathologic and surgical factors on relapse and pregnancy in young patients (≤40 years old) with borderline ovarian tumors. BMC Cancer. 2018;18:1147

12. Chen X, Fang C, Zhu T, Zhang P, Yu A, Wang S. Identification of factors that impact recurrence in patients with borderline ovarian tumors. J Ovarian Res. 2017;10:23

13. Karlsen NMS, Karlsen MA, Høgdall E, Nedergaard L, Christensen IJ, Høgdall C. Relapse and disease specific survival in 1143 Danish women diagnosed with borderline ovarian tumours (BOT). Gynecol Oncol. 2016;142:50-3

14. Seong SJ, Kim DH, Kim MK, Song T. Controversies in borderline ovarian tumors. J Gynecol Oncol. 2015;26:343-9

15. Delle Marchette M, Ceppi L, Andreano A. et al. Oncologic and fertility impact of surgical approach for borderline ovarian tumours treated with fertility sparing surgery. Eur J Cancer Oxf Engl 1990. 2019;111:61-8

16. Jia S-Z, Xiang Y, Yang J-J, Shi J-H, Jia C-W, Leng J-H. Oncofertility outcomes after fertility-sparing treatment of bilateral serous borderline ovarian tumors: results of a large retrospective study. Hum Reprod Oxf Engl. 2020;35:328-39

17. Wang W, Zhang S, Wang Y, Xiang Y. Expert consensus on diagnosis and treatment of borderline ovarian tumors. Chin J Pract Gynecol Obstet. 2019;35:1000-7

18. Alvarez RM, Vazquez-Vicente D. Fertility sparing treatment in borderline ovarian tumours. Ecancermedicalscience. 2015;9:507

19. Guvenal T, Dursun P, Hasdemir PS. et al. borderline ovarian tumors: a Turkish Gynecologic Oncology Group study. Gynecol Oncol. 2013;131:546-50

20. Zanetta G, Rota S, Chiari S, Bonazzi C, Bratina G, Mangioni C. Behavior of borderline tumors with particular interest to persistence, recurrence, and progression to invasive carcinoma: a prospective study. J Clin Oncol Off J Am Soc Clin Oncol. 2001;19:2658-64

21. Huang Y, Zhang W, Wang Y. The feasibility of fertility-sparing surgery in treating advanced-stage borderline ovarian tumors: A meta-analysis. Taiwan J Obstet Gynecol. 2016;55:319-25

22. Trillsch F, Mahner S, Woelber L. et al. Age-dependent differences in borderline ovarian tumours (BOT) regarding clinical characteristics and outcome: results from a sub-analysis of the Arbeitsgemeinschaft Gynaekologische Onkologie (AGO) ROBOT study. Ann Oncol Off J Eur Soc Med Oncol. 2014;25:1320-7

23. Harris R, Whittemore AS, Itnyre J. Characteristics relating to ovarian cancer risk: collaborative analysis of 12 US case-control studies. III. Epithelial tumors of low malignant potential in white women. Collaborative Ovarian Cancer Group. Am J Epidemiol. 1992;136:1204-11

24. Riman T, Dickman PW, Nilsson S. et al. Risk factors for epithelial borderline ovarian tumors: results of a Swedish case-control study. Gynecol Oncol. 2001;83:575-85

25. Uzan C, Muller E, Kane A. et al. Prognostic factors for recurrence after conservative treatment in a series of 119 patients with stage I serous borderline tumors of the ovary. Ann Oncol Off J Eur Soc Med Oncol. 2014;25:166-71

26. Shih KK, Zhou Q, Huh J. et al. Risk factors for recurrence of ovarian borderline tumors. Gynecol Oncol. 2011;120:480-4

27. Park J-Y, Kim D-Y, Kim J-H. et al. Micropapillary pattern in serous borderline ovarian tumors: does it matter? Gynecol Oncol. 2011;123:511-6

28. Bendifallah S, Nikpayam M, Ballester M. et al. New Pointers for Surgical Staging of Borderline Ovarian Tumors. Ann Surg Oncol. 2016;23:443-9

29. Wen H, Wu X. Borderline ovarian tumor and fertility sparing surgery. Chin J Pract Gynecol Obstet. 2015;31:995-9

30. Morice P, Camatte S, Wicart-Poque F. et al. Results of conservative management of epithelial malignant and borderline ovarian tumours. Hum Reprod Update. 2003;9:185-92

31. Zhao Y, Wang Y, Shen D hua. et al. Clinical characteristics of borderline ovarian tumors and stage I epithelial ovarian cancer: an analysis of 143 cases. Beijing Da Xue Xue Bao. 2011;43:123-8

32. Jiao X, Hu J, Zhu L. Prognostic Factors for Recurrence After Fertility-Preserving Surgery in Patients With Borderline Ovarian Tumors: A Systematic Review and Meta-analysis of Observational Studies. Int J Gynecol Cancer Off J Int Gynecol Cancer Soc. 2017;27:1833-41

33. Vasconcelos I, de Sousa Mendes M. Conservative surgery in ovarian borderline tumours: a meta-analysis with emphasis on recurrence risk. Eur J Cancer Oxf Engl 1990. 2015;51:620-31

34. Uzan C, Nikpayam M, Ribassin-Majed L. et al. Influence of histological subtypes on the risk of an invasive recurrence in a large series of stage I borderline ovarian tumor including 191 conservative treatments. Ann Oncol Off J Eur Soc Med Oncol. 2014;25:1312-9

35. Palomba S, Zupi E, Russo T. et al. Comparison of two fertility-sparing approaches for bilateral borderline ovarian tumours: a randomized controlled study. Hum Reprod Oxf Engl. 2007;22:578-85

36. Li Y, Cui H. Pregnancy opportunity and rates and postpartum follow-up after conservative surgery for borderline ovarian tumors. Chin J Pract Gynecol Obstet. 2015;31:999-1001

37. Meirow D, Levron J, Eldar-Geva T. et al. Pregnancy after transplantation of cryopreserved ovarian tissue in a patient with ovarian failure after chemotherapy. N Engl J Med. 2005;353:318-21

38. Fang C, Zhao L, Chen X, Yu A, Xia L, Zhang P. 26. The impact of clinicopathologic and surgical factors on relapse and pregnancy in young patients (≤40 years old) with borderline ovarian tumors. BMC Cancer. 2018;18:1147

39. Qian X-Q, Hua X-P, Wu J-H, Shen Y-M, Cheng X-D, Wan X-Y. Clinical Predictors of Recurrence and Prognostic Value of Lymph Node Involvement in the Serous Borderline Ovarian Tumor. Int J Gynecol Cancer Off J Int Gynecol Cancer Soc. 2018;28:279-84

40. Lu H, Huo C, Lin Z. Interpretation of NCCN 2019 Clinical Practice Guide for Ovarian Cancer including Fallopian Tube Cancer and Primary Peritoneal Cancer (1st Edition). Chin J Pract Gynecol Obstet. 2019;35:536-46

41. Trillsch F, Mahner S, Vettorazzi E. et al. Surgical staging and prognosis in serous borderline ovarian tumours (BOT): a subanalysis of the AGO ROBOT study. Br J Cancer. 2015;112:660-6

42. Kristensen GS, Schledermann D, Mogensen O, Jochumsen KM. The value of random biopsies, omentectomy, and hysterectomy in operations for borderline ovarian tumors. Int J Gynecol Cancer Off J Int Gynecol Cancer Soc. 2014;24:874-9

Author contact

Corresponding address Corresponding author: Dr. Min Wang, Department of Gynecology and Obstetrics, Shengjing Hospital Affiliated of China Medical University, No. 36 Sanhao Street, Heping District, Shenyang 110004, Liaoning, China. E-mail: wm21stcom.


Received 2020-11-20
Accepted 2021-5-23
Published 2021-7-2


Citation styles

APA
Qi, Y., Wang, M., Yang, Y., Zeng, Z., Zhou, Y. (2021). Analysis of Factors Influencing Relapse and Pregnancy in Patients with Borderline Ovarian Tumors. Journal of Cancer, 12(17), 5275-5285. https://doi.org/10.7150/jca.56387.

ACS
Qi, Y.; Wang, M.; Yang, Y.; Zeng, Z.; Zhou, Y. Analysis of Factors Influencing Relapse and Pregnancy in Patients with Borderline Ovarian Tumors. J. Cancer 2021, 12 (17), 5275-5285. DOI: 10.7150/jca.56387.

NLM
Qi Y, Wang M, Yang Y, Zeng Z, Zhou Y. Analysis of Factors Influencing Relapse and Pregnancy in Patients with Borderline Ovarian Tumors. J Cancer 2021; 12(17):5275-5285. doi:10.7150/jca.56387. https://www.jcancer.org/v12p5275.htm

CSE
Qi Y, Wang M, Yang Y, Zeng Z, Zhou Y. 2021. Analysis of Factors Influencing Relapse and Pregnancy in Patients with Borderline Ovarian Tumors. J Cancer. 12(17):5275-5285.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions.
Popup Image