Literature DB >> 28974236

Endometriosis is the independent prognostic factor for survival in Chinese patients with epithelial ovarian carcinoma.

Tong Ren1, Shu Wang2, Jian Sun3, Ji-Min Qu4, Yang Xiang1, Keng Shen1, Jing He Lang5.   

Abstract

BACKGROUND: Clinico-pathological characteristics and possible prognostic factors among women with epithelial ovarian carcinoma (EOC) with or without concurrent endometriosis were explored.
METHOD: We retrospectively identified 304 patients with EOC treated primarily at Peking Union Medical College Hospital with median follow-up time of 60 months.
RESULTS: Of 304 patients with EOC, concurrent endometriosis was identified in 69 (22.7%). The patients with concurrent endometriosis were younger and more probably post-menopausal at onset, were less likely to have abdominal distension, with significantly lower level of pre-surgery serum Ca125 and less possibility of having the history of tubal ligation. The women with concurrent endometriosis group were more likely to have early stage tumors (88.41% versus 52.77%), receive optimal cytoreductive surgery (92.75% versus 71.06%), and less likely to have lymph node metastasis or to develop platinum resistance disease (7.25% versus 14.89%, and 7.35% versus 20%), when compared with women without coexisting endometriosis. The univariate analysis showed that concurrent endometriosis was a prognostic factor for overall survival (OS) and disease-free survival (DFS), but this association just remained in the DFS by multivariate analysis. Besides, multivariate analysis also showed that FIGO stage, residual disease, chemotherapy cycles, chemotherapy resistance and concomitant hypertension were the independent impact factors of OS for EOC patients; whereas FIGO stage, lymphadenectomy, residual disease, coexisting endometriosis and chemoresistance were independent impact factors of DFS for those patients.
CONCLUSIONS: EOC patients with concurrent endometriosis showed distinct characteristics and had longer overall survival and disease-free survival when compared with those without endometriosis. Endometriosis was the independent prognostic factor for DFS for patients in this series.

Entities:  

Keywords:  Endometriosis; Epithelial ovarian carcinoma; Prognostic factor

Mesh:

Year:  2017        PMID: 28974236      PMCID: PMC5627477          DOI: 10.1186/s13048-017-0363-y

Source DB:  PubMed          Journal:  J Ovarian Res        ISSN: 1757-2215            Impact factor:   4.234


Background

Endometriosis (EM) is one of the most common benign gynecological diseases, with an incidence as high as 10–15% in women of childbearing age. EM typically manifests as masses, pain, and infertility in clinical practice, seriously affecting physical and psychological health as well as the quality of life of women of childbearing age. Nonetheless, attention has long been paid to the malignant potential of EM [1, 2]. In recent years, the association between malignant transformation of EM and the development of particular types of epithelial ovarian cancer (EOC) has become a hot topic in basic clinical research [3-6]. EM may represent a precancerous lesion of ovarian clear cell carcinoma (OCCC) or ovarian endometrioid carcinoma (OEC). As a potential “precancerous state”, EM is closely associated with OCCC and OEC [7-9]. Endometriosis-associated ovarian carcinoma(EAOC) may be a special type of OC that shows different clinicopathological and prognostic features compared with ordinary OC [10, 11]. The majority of existing clinical case studies have involved a small sample size and short follow-up time. In the present study, we compared the clinicopathological features and prognosis of OCCC and OEC with and without EM, using data from patients undergoing primary treatment for epithelial OC in our hospital.

Methods

By reviewing the medical charts, we retrospectively identified 186 patients with OEC and 118 patients with OCCC who were primarily treated and received surgery at the Division of Gynecological Oncology of the Department of Obstetrics and Gynecology at Peking Union Medical College Hospital between January 2000 and January 2012. All patients received surgery and chemotherapy and were followed up at our institution. The patient follow-up period ended in March 2017. This study was approved by the University Institutional Review Board. Here, we defined EOC with concurrent endometriosis as the presence of ovarian cancer and endometriosis identified histologically in the same ovary, the presence of endometriosis in one ovary and of ovarian cancer in the contralateral ovary, or the presence of ovarian cancer and extraovarian pelvic endometriosis (eg, peritoneal endometriosis). According to the pathological criteria listed above, we identified 68 of patients with ovarian carcinoma with concurrent EM (EAOC group), The remaining 236 patients had no pathological evidence of endometriosis (non-EAOC group). The collected clinico-pathological data were compared between two groups as shown in Table 1. The 304 patients were subjected to surgical-pathologic restaging based on the International Federation of Gynecology and Obstetrics (FIGO) staging guidelines for ovarian cancer (2013) [12]. For statistical analysis, FIGO stage categories were classified into early stage (FIGO stages I and II subjects) and late stage (FIGO stages III to IV).
Table 1

Clinical and morphological characteristics of EOC patients with or without EM

NON-EAOCEAOC P
Numbers23668
Age(year)(median[IQR])52.0 [44.00,62.00]45.00 [40.00,49.50]<0.001a
 Menopause<.0001a
  Pre-108 (45.96%)53 (76.81%)
  Post-127 (54.04%)16 (23.19%)
 Gravid0.6506
  026 (11.06%)9 (13.04%)
   > =1209 (88.94%)60 (86.96%)
 Parity0.5637
  041 (17.45%)10 (14.49%)
   > =1194 (82.55%)59 (85.51%)
 Symptoms
  Abdominal pain0.3989
  Yes76 (32.34%)17 (24.64%)
  No158 (67.23%)52 (75.36%)
 Bloating0.0193a
  Yes54 (22.98%)7 (10.14%)
  No181 (77.02%)62 (89.86%)
 Palpable mass0.2629
  Yes59 (25.11%)22 (31.88%)
  No176 (74.89%)47 (68.12%)
 Incidental finding0.1232
  Yes33 (14.04%)15 (21.74%)
  No202 (85.96%)54 (78.26%)
 Irregular menstruation0.1111
  Yes19 (8.09%)10 (14.49%)
  No216 (91.91%)59 (85.51%)
 Postmenopausal bleeding0.0610
  Yes18 (7.66%)1 (1.45%)
  No217 (92.34%)68 (98.55%)
 Cachexia0.0814
  Yes10 (4.26%)0 (0%)
  No225 (95.74%)69 (100%)
 Abnormal vaginal discharge0.4420
  Yes2 (0.85%)0 (0%)
  No233 (99.15%)69 (100%)
Pre-surgery Ca125 (IU/ml) (median[IQR])256.20 [62.96, 959.30]89.50 [37.80, 346.85]<0.001a
 Ca125 in normal range0.2110
  Yes39 (16.6%)16 (23.19%)
  No196 (83.4%)53 (76.81%)
Tumor size (cm) (median[IQR])9.00 [6.00,13.00]10.00 [7.00,15.000]0.245
 Side of ovarian tumor0.3904
  Unilateral161 (68.51%)51 (73.91%)
  Bilateral74 (31.49%)18 (26.09%)
 Breast cancer history0.1204
  Yes8 (3.4%)0 (0%)
  No227 (96.6%)69 (100%)
 HT history0.2433
  Yes45 (19.15%)9 (13.04%)
  No190 (80.85%)60 (86.96%)
 DM history0.2263
  Yes16 (6.81%)2 (2.9%)
  No219 (93.19%)67 (97.1%)
 Hysterectomy history0.1469
  Yes7 (2.98%)0 (0%)
  No228 (97.02%)69 (100%)
 Tube ligation history0.0379a
  Yes14 (5.96%)0 (0%)
  No221 (94.04%)69 (100%)

Abbreviation: EOC, epithelial ovarian carcinoma; EM, endometriosis; EAOC, endometriosis-associated ovarian cancer; IQR, InterQuartile Range; Ca125, cancer antigen 125; HT, hypertension; DM, diabetic mellitus;

athe difference reached statistical significance

Clinical and morphological characteristics of EOC patients with or without EM Abbreviation: EOC, epithelial ovarian carcinoma; EM, endometriosis; EAOC, endometriosis-associated ovarian cancer; IQR, InterQuartile Range; Ca125, cancer antigen 125; HT, hypertension; DM, diabetic mellitus; athe difference reached statistical significance Besides, synchronous tumors of the ovary and endometrium were found and analyzed in this series. The criteria of Young and Scully [13] was used for interpretation of synchronous primary tumors of both organs or of metastasis from one organ to the other. When the pathologic study reveals similar types, the differentiation between the 2 separate primary cancers or 1 single advanced cancer with metastasis is much more difficult. Herein, we apply standardized criteria to differentiate the 2 synchronous cancers, rather than 1 cancer metastases [(1) both tumors are confined to primary sites; (2) no direct extension between the tumors; (3) no lymphovascular tumor emboli; (4) no or only superficial myometrial invasion of the endometrial lesion; and (5) no distant metastasis] [14, 15]. Disease-free survival (DFS) was defined as the time interval from the date of primary surgery to the date of disease progression and/or recurrence. Overall survival (OS) was defined in months as the date of the primary surgery to the date of death or censoring at the date of last contact. Continuous variables were analyzed using Mann–Whitney U test. Categorical variables were analyzed by using test or Fisher’s exact test. Receiver Operating Characteristic (ROC) curve was constructed to define the optimal cutoff value for stratifying and grouping continuous variables. Survival comparisons were obtained using the log-rank test in an unadjusted Kaplan-Meier model. Cox proportional hazards regression was used for multivariate analysis. Variables included in this analysis were those found to be statistically significant in the univariate analyses. Hazards ratios and 95% confidence intervals (CIs) were used to calculate the relative risk of death or relapse for each variable of interest while adjusting for other covariates. All P values reported were 2 tailed, and a P value of 0.05 or less was considered as statistical significance.

Results

Table 1 shows the statistical results for the clinical information from the two groups of patients. The patients in EAOC group exhibited an median age of onset of 45 years, which was 7 years younger than that of the patients in non-EAOC group; this between-group difference was statistically significant (P < 0.001). Compared with the EAOC patients, a higher proportion of non-EAOC patients were post-menopausal at onset (P < 0.001). No significant difference in the number of pregnancies was found between the two groups. The leading three most common referral symptoms for women in EAOC group were palpable mass(31.88%), abdominal pain(24.64%) and incidental finding(21.74%), while which for ones in Non-EAOC group were respectively abdominal pain(32.34%), palpable mass (25.11%), bloating (22.98%). Bloating was the symptom in a greater proportion of patients in non-EAOC group compared with ones in EAOC group (P = 0.0193), whereas no significant differences in other symptoms were found between the two groups. The patients of EAOC group showed significantly lower preoperative CA125 levels than non-EAOC group (median[IQR], 89.50[37.80, 346.85]mIU/ml vs 256.20[62.96, 959.30] mIU/ml, P < 0.001). But the proportion of patients presented CA125 levels within the normal range was not significantly different (23.19% vs. 16.6%, P = 0.2110). No significant differences were found between the two groups in terms of tumor size or tumor side, and neither difference seen in the medical history or complication of breast cancer, hypertension (HT), diabetic mellitus (DM) and previous surgery of hysterectomy. However, there was a significant difference between the two groups in terms of tubal ligation (non-EAOC vs EAOC, 5.96% vs 0%, P = 0.0379). Table 2 summarizes the surgico-pathological data. In EAOC group, 71.01% of patients were at FIGO stage I, while 88.41% had early (stage I + II) cancer. In non-EAOC group, 47.23% of the patients displayed advanced cancer. The between-group difference in tumor stage reached statistical significance (P < 0.001). The rate of performing lymphadenectomy in EAOC group was significantly higher than in non-EAOC group (92.75% vs 80.43%, P = 0.0160). Among the 68 patients in EAOC group, OCCC accounted for 53.62%, OEC for 46.38%; the non-EAOC patients mainly had OEC; these two types of cancer accounted for 34.47% and 65.53% of the patients, respectively (P = 0.0041). Besides, the rate of having concurrent endometrial disorders between two groups was similar (P = 0.0808), but the rate of concurrent endometrial carcinoma in non-EAOC group was higher than EAOC group (23.8% vs 7.4%, P = 0.051).
Table 2

The surgico-pathological characters and treatment-related variables of EOC patients with or without EM

NON-EAOCEAOC P
FIGO Stagea <.0001*
 I92 (39.15%)49 (71.01%)
 II32 (13.62%)12 (17.39%)
 III97 (41.28%)7 (10.14%)
 IV14 (5.96%)1 (1.45%)
Early or late Stage<.0001*
 I + II124 (52.77%)61 (88.41%)
 III + IV111 (47.23%)8 (11.59%)
Lymphadenectomy0.0160*
 Yes189 (80.43%)64 (92.75%)
 No46 (19.57%)5 (7.25%)
Residual disease0.0002*
 No or <1 cm167 (71.06%)64 (92.75%)
  > 1 cm68 (28.94%)5 (7.25%)
Metastasis of lymph node0.0060*
 Yes35 (14.89%)5 (7.25%)
 No154 (65.53%)59 (85.51%)
 Not-dissected46 (19.57%)5 (7.25%)
Histotype0.0041*
 Clear cell81 (34.47%)37 (53.62%)
 Endometrioid154 (65.53%)32 (46.38%)
Endometrial disorders0.0808*
 Yes45 (19.15%)7 (10.14%)
 No190 (80.85%)62 (89.86%)
Endometrial cancer0.051
 Yes25 (23.8%)2 (7.4%)
 No211 (76.2%)66 (92.6%)
Chemotherapy0.6250
 Platinum-based224 (95.32%)67 (97.1%)
 Other regimen3 (1.28%)0 (0%)
 No chemotherapy8 (3.4%)2 (2.9%)
Chemo Cycles6.36 ± 2.335.70 ± 2.050.039*
Chemo-resistance0.0149*
 Yes47 (20%)5 (7.35%)
 No188 (80%)63 (92.65%)

Abbreviation: EOC, epithelial ovarian carcinoma; FIGO, International Federation of Gynecology and Obstetrics; EM, endometriosis; EAOC, endometriosis-associated ovarian cancer

*the difference reached statistical significance

aaccording to the classification system of FIGO staging (2013 version)

The surgico-pathological characters and treatment-related variables of EOC patients with or without EM Abbreviation: EOC, epithelial ovarian carcinoma; FIGO, International Federation of Gynecology and Obstetrics; EM, endometriosis; EAOC, endometriosis-associated ovarian cancer *the difference reached statistical significance aaccording to the classification system of FIGO staging (2013 version) The proportion of patients who received postoperative chemotherapy and platinum-based chemotherapy between two groups were likely. The mean cycles(±SD) of platinum-based chemotherapy were significantly divergent between two groups (6.36 ± 2.33 in non-EAOC vs 5.70 ± 2.05 in EAOC, P = 0.039). We defined chemo-resistance as tumor recurrence or progression within 6 months after the last chemotherapy. In this study, the rate of occurring chemo-resistance in non-EAOC group was significantly higher than in non-EAOC group (20% vs 7.35%, P = 0.0149). With an median(IQR) follow-up of 60[29,90] months, the entire study cohort observed 23.03% of deaths due to disease, and 47.37% of patients developed relapse disease with the median(IQR) time of DFS of 39[13,76] months. Receiver Operating Characteristic (ROC) curve constructed to stratify the continuous variable including the age of onset, tumor size, and the courses of platinum regimen received. As a result, the optimal cutoff value was defined as 49 years for age, 10 cm for tumor size, 3 for chemotherapy courses (Showed in Fig. 1).
Fig. 1

a ROC curve for age of disease onset in DFS; b. ROC curve for tumor size in DFS; c. ROC curse for cycles of platinum-based chemotherapy in DFS

a ROC curve for age of disease onset in DFS; b. ROC curve for tumor size in DFS; c. ROC curse for cycles of platinum-based chemotherapy in DFS As seen in Tables 3 and 4, the univariate analysis showed that concurrent endometriosis was a prognostic factor for overall survival (OS, P = 0.0010) and disease-free survival (DFS, P < 0.0001). Besides, the following variables were showed relating to either OS or PFS, including age (P = 0.0013, P = 0.0194), menopausal status (P = 0.0043, P = 0.0052), FIGO stage (P < 0.0001, P < 0.0001), early or late stage (P < 0.0001, P < 0.0001), lymphadenectomy (P < 0.0001, P < 0.0001), metastasis of LN (P < 0.0001, P < 0.0001), residual disease (P < 0.0001, P < 0.0001), normal level of Ca125 (P = 0.0009, P < 0.0001), unilateral or bilateral tumor (P = 0.0063, P < 0.0001), chemotherapy courses (P = 0.0373, P < 0.0001) and chemo-resistance (P < 0.0001, P < 0.0001) (showed in Fig. 2). And the correlation was also seeen in OS and hypertension, but not for PFS (showed in Fig. 3).
Table 3

Univariate analysis of overall survival among EOC patients

VariableCategoryN(%)OS (Median[IQR])Survival rate(%) P
Age y<49138 (45.39)69.5 [38,102]84.060.0013*
> = 49166 (54.61)53 [23,78]71.08
Menopausal statusPre161 (52.96)68 [38,102]81.990.0043*
Post143 (47.04)53 [22,77]71.33
Gravidity035 (11.51)60 [34,107]82.860.3070
> = 1269 (88.49)60 [27,89]75.84
Parity051 (16.78)70 [40,96]84.310.1016
> = 1253 (83.22)58 [26,86]75.1
StageEarly185 (60.86)69 [47,102]91.35<.0001*
Late119 (39.14)38 [18,72]53.78
FIGO StageI141 (46.38)72 [51,102]95.74<.0001*
II44 (14.47)60 [33,110]79.55
III104 (34.21)41.5 [20,73.5]53.85
IV15 (4.93)10 [5,53]53.33
HistotypeClear cell118 (38.82)58.5 [27,88]78.810.6479
Endometrioid186 (61.18)60.5 [31,92]75.81
LymphadenectomyYes51 (16.78)38 [12,69]52.94<.0001*
No253 (83.22)62 [34,91]81.82
Metastasis of LNPositive40 (13.16)32.5 [15,59]57.5<.0001*
Negative213 (70.07)68 [44,101]86.38
Residual disease>1 cm73 (24.01)33 [15,65]50.68<.0001*
None or <1 cm231 (75.99)66 [38,98]85.28
CA125 normalYes55 (18.09)73 [52,102]92.730.0009*
No249 (81.91)58 [24,87]73.49
Tumor size(cm)<10153 (50.33)60 [32,90]77.120.8933
≥10151 (49.67)60 [26,88]76.82
Tumor sideUnilateral212 (69.74)61 [33.5,96.5]80.660.0063*
Bilateral92 (30.26)53 [24,84.5]67.39
EndometriosisNo235 (77.30)57 [24,88]72.770.0010*
Yes69 (22.70)67 [42,101]91.3
Endometrial disordersNo252 (82.89)60 [29.5,91]75.00.2184
Yes52 (17.11)60 [29,85.5]84.62
Endometrial cancerNo252 (82.89)60 [26.5,91]74.60.2321
Yes27 (8.88)60 [40,96]85.19
HypertensionNo250 (82.24)60 [32,92]79.60.0132*
Yes54 (17.76)57.5 [19,81]64.81
Chemotherapy cycle<4191 (62.83)61 [34,91]80.10.0373*
≥4100 (32.89)53 [23.5,85]70
Chemo-resistanceNo252 (82.89)67 [44,99.5]84.52<.0001*
Yes52 (17.11)19 [11,28.5]40.38

P values were cultivated by Kaplan-Meier analysis

Table 4

Univariate analysis of disease-free survival among patients

VariableCategoryN(%)OS (Median(IQR))Survival rate(%) P
Age y<49141 (46.38)52 [16,87]57.450.0194a
> = 49163 (53.62)31 [12,65]47.85
Menopausal statusPre161 (52.96)50 [17,87]57.140.0052a
Post143 (47.04)26 [11,64]46.85
Gravidity035 (11.51)44 [16,90]51.430.6329
> = 1269 (88.49)39 [12,75]52.79
Parity051 (16.78)51 [15,86]52.940.5262
> = 1253 (83.22)38 [12,75]52.57
StageEarly185 (60.86)59 [36,88]74.59<.0001a
Late119 (39.14)14 [8,28]18.49
FIGO StageI141 (46.38)62 [44,90]81.56<.0001a
II44 (14.47)42 [17.5,80]50
III104 (34.21)15 [9,30.5]20.19
IV15 (4.93)9 [0.5,22]6.67
HistotypeClear cell118 (38.82)52.5 [14,85]61.860.0091a
Endometrioid186 (61.18)34.5 [12,70]46.24
LymphadenectomyYes51 (16.77)12 [6,26]23.53<.0001a
No253 (83.22)48 [17,82]58.1
Metastasis of LNPositive213 (70.07)54 [24,86]64.79<.0001a
Negative40 (13.16)13 [7,31]22.5
Residual disease>1 cm231 (75.99)53 [22,84]17.81<.0001a
None or <1 cm73 (24.01)12 [5,23]63.2
CA125 normalYes55 (18.09)64 [48,97]74.55<.0001a
No249 (81.91)30 [12,70]47.39
Tumor size(cm)<10153 (50.33)40 [13,77]50.330.7834
≥10151 (49.67)38 [13,75]54.3
Tumor sideUnilateral212 (69.74)50.5 [14.5,83]60.85<.0001a
Bilateral92 (30.26)27.5 [12,55.5]33.7
EndometriosisNo235 (77.30)31 [12,69]44.68<.0001a
Yes69 (22.70)60 [36,89]78.26
Endometrial disordersNo252 (82.89)38 [13,75.5]51.190.3357
Yes52 (17.11)48 [13,76]57.69
Endometrial cancerNo252 (82.89)38 [13,75.5]51.190.2503
Yes27 (8.88)49 [18,86]59.26
HypertensionNo250 (82.24)41 [14,76]52.80.4164
Yes54 (17.763)29.5 [11,68]50
Chemotherapy cycle<4191 (62.83)51 [19,83]61.78<.0001a
≥4100 (32.89)19 [11,45]32
Chemotherapy resistenceNo252 (82.89)51.5 [24,84]63.1<.0001a
Yes52 (17.11)7.5[3,10]0

Abbreviation: EOC, epithelial ovarian carcinoma; FIGO, International Federation of Gynecology and Obstetrics

athe difference reached statistical significance. P values were cultivated by Kaplan-Meier analysis

Fig. 2

A univariate analysis of overall survival in patients with EOC. Kaplan-Meier survival curves showing the effects of age (a), menopausal status (b), FIGO stage (c), early or late stage (d), lymphadenectomy (e), metastasis of LN (f), residual disease (g), normal level of Ca125(h), unilateral or bilateral tumor (i), endometriosis (j), hypertension (k), chemotherapy courses (l) and chemo-resistance (m) for OS

Fig. 3

A univariate analysis of disease-free survival in patients with ovarian clear cell and endometrioid carcinoma. Kaplan-Meier survival curves showing the effects of age (a), menopausal status (b), FIGO stage (c), early or late stage (d), histotype (e), lymphadenectomy (f), metastasis of LN (g), residual disease (h), Ca125 in normal range (i), unilateral or bilateral tumor (j), endometriosis (k), chemotherapy courses (l) and chemo-resistance (m) for DFS

Univariate analysis of overall survival among EOC patients P values were cultivated by Kaplan-Meier analysis Univariate analysis of disease-free survival among patients Abbreviation: EOC, epithelial ovarian carcinoma; FIGO, International Federation of Gynecology and Obstetrics athe difference reached statistical significance. P values were cultivated by Kaplan-Meier analysis A univariate analysis of overall survival in patients with EOC. Kaplan-Meier survival curves showing the effects of age (a), menopausal status (b), FIGO stage (c), early or late stage (d), lymphadenectomy (e), metastasis of LN (f), residual disease (g), normal level of Ca125(h), unilateral or bilateral tumor (i), endometriosis (j), hypertension (k), chemotherapy courses (l) and chemo-resistance (m) for OS A univariate analysis of disease-free survival in patients with ovarian clear cell and endometrioid carcinoma. Kaplan-Meier survival curves showing the effects of age (a), menopausal status (b), FIGO stage (c), early or late stage (d), histotype (e), lymphadenectomy (f), metastasis of LN (g), residual disease (h), Ca125 in normal range (i), unilateral or bilateral tumor (j), endometriosis (k), chemotherapy courses (l) and chemo-resistance (m) for DFS Multivariate analysis showed coexisting endometriosis was the independent risk factor of DFS for this series of patients (P = 0.0233), but not OS (P = 0.4038). And the Tables 5 and 6 also revealed that FIGO stage (P = 0.0001), chemotherapy cycles (P = 0.0058), chemotherapy resistance (P < 0.0001) and concomitant hypertension (P = 0.0102) were the independent impact factors of OS, whereas FIGO stage (P < 0.0001), lymphadenectomy (P = 0.0084), residual disease (P = 0.0165), and chemoresistance (P < 0.0001) were independent impact factors of DFS for EOC patients in this study.
Table 5

Multivariable analysis of overall survival by Cox regression model for EOC patients

VariableβStandard ErrorChi-Square P HR(95% CI)
Age group−0.720.432.830.09230.49(0.21 ~ 1.13)
Menopause0.760.443.000.08352.14(0.9 ~ 5.06)
Stage (early or late)1.480.3914.630.0001*4.40(2.06 ~ 9.4)
Histotype−0.360.281.690.19410.7(0.4 ~ 1.2)
Lymph node positive0.110.380.090.76671.12(0.53 ~ 2.36)
Lymphadenectomy0.430.331.730.18871.54(0.81 ~ 2.95)
Residual disease0.510.283.470.06251.67(0.97 ~ 2.87)
CA125 normal0.680.561.510.2191.98(0.67 ~ 5.89)
Tumor side0.290.271.170.27971.34(0.79 ~ 2.28)
Endometriosis−0.390.470.700.40380.68(0.27 ~ 1.69)
Chemotherapy course−0.780.287.610.0058*0.46(0.26 ~ 0.8)
Chemoresistance1.940.3237.68<.0001*6.96(3.75 ~ 12.93)
Hypertension0.770.306.610.0102*2.16(1.2 ~ 3.89)

*the difference reached statistical significance. P values were cultivated by Cox regression analysis. The overall test of the above model showed the model was significance, p < 0.0001

Table 6

Multivariable analysis of disease-free survival by Cox regression model for EOC patients

VariableβStandard ErrorChi-Square P HR(95% CI)
Age group0.130.300.190.66531.14(0.63 ~ 2.07)
Menopause0.140.290.220.63771.15(0.65 ~ 2.03)
Stage (early or late)1.030.2615.78<.0001*2.79(1.68 ~ 4.64)
Histotype0.260.191.870.17131.3(0.89 ~ 1.9)
Lymph node positive0.220.240.840.36051.25(0.77 ~ 2.02)
Lymphadenectomy0.610.236.960.0084*1.84(1.17 ~ 2.89)
Residual disease0.480.205.750.0165*1.62(1.09 ~ 2.39)
CA125 normal0.250.310.680.40861.29(0.71 ~ 2.36)
Tumor side0.260.191.960.16191.3(0.9 ~ 1.87)
Endometriosis−0.660.295.150.0233*0.52(0.29 ~ 0.91)
Chemotherapy group−0.030.190.020.87730.97(0.66 ~ 1.42)
Chemoresistance3.770.4281.43<.0001*43.3(19.1 ~ 98.15)

*the difference reached statistical significance. P values were cultivated by Cox regression analysis. The overall test of the above model showed the model was significance, p < 0.0001

Multivariable analysis of overall survival by Cox regression model for EOC patients *the difference reached statistical significance. P values were cultivated by Cox regression analysis. The overall test of the above model showed the model was significance, p < 0.0001 Multivariable analysis of disease-free survival by Cox regression model for EOC patients *the difference reached statistical significance. P values were cultivated by Cox regression analysis. The overall test of the above model showed the model was significance, p < 0.0001

Discussion

In this study, 68 of 304 patients enrolled exhibited an association with EM, which accounted for 22.37% of the patients with EOC. The incidence of EAOC in our patients was close to the values reported by Nezhat [16]. With respect to clinical features, we found that the patients in EAOC group exhibited a markedly lower median age of onset than the non-EAOC patients (45 years vs. 52 years); most EAOC patients were premenopausal at onset (76.81% vs. 45.96%). This is in agreement with the results of Garrett [17], Lim [18], and Scarfone [19]. We wonder if this between-group difference may be due to the following factors: the EAOC patients presented more evident clinical symptoms and tended to undergo pelvic examination more frequently, indirectly moving the timing of the detection of ovarian tumors forward. However, in the present study, we found no significant difference in clinical symptoms between the two groups, except that a relatively high proportion of non-EAOC patients exhibited bloating as the first symptom (22.98% vs. 10.14%). From this aspect, We tend to believe that EAOC shows a younger age of onset due to intrinsic mechanisms, rather than simply early detection [9, 10]. Median preoperative serum CA125 levels were significantly different between the two groups of patients (256.20 vs. 89.50 U/ml), a finding that is inconsistent with the results of Scarfone [19] and Mangili [20]. It is currently thought that CA125, a predictor of malignant ovarian tumors, is divergent among the different histological type of tumors [21, 22]. Therefore, precise classification of epithelial OC, followed by the identification of new tumor markers, will have important clinical value, and further relevant research is expected to be conducted. Comparison of surgical histories between groups revealed that a markedly higher proportion of non-EAOC patients relative to EAOC patients underwent tubal ligation, but no difference for hysterectomy. Van Gorp [23], Nagle [24], and Rice [25, 26] have shown that hysterectomy or tubal ligation can decrease the incidence of EM and EAOC to varying degrees, which may explain our results. That is, tubal ligation may have reduced the development of EAOC in this series of patients. This result is interesting and remains to be verified in a large-sample, prospective, long-term study. Similar to the results of numerous studies [18-20], we found that most OCCC and OEC patients of the EAOC group (71.01%) had FIGO I stage cancer at diagnosis. A markedly higher proportion of patients had early (stage I–II) cancer in the EAOC group compared with the non-EAOC group (88.41% vs. 52.77%). It is therefore easier to perform lymphadenectomy and to achieve satisfying debulking surgery in the former group than in the latter group (respectively 92.75% vs 80.43% and 92.75% vs 71.06%). As discussed previously, it is unclear whether the earlier clinicopathological stage of EAOC patients is due to early detection or the biological behavior of the tumor. Currently, there is no evidence showing that this patient population exhibits particular first symptoms or a specific medical history leading to early detection of tumors. Therefore, we tend to believe that EAOC may possess certain unique cellular and molecular biological characteristics that result in slow progression of the disease [10]. Although the cases enrolled in this study spanned a period of more than 12 years, during which there was no major revision in the chemotherapy regimens and strategies for treating OC. We evaluated the situation of postoperative chemotherapy regimens patients had received. Most patients underwent postoperative platinum-based chemotherapy in the two groups (92.9% vs. 95.8%). The results showed no significant difference between the two groups with regard to receiving postoperative adjuvant chemotherapy. Nevertheless, EAOC patients received less courses of chemotherapy(mean ± SD, 5.70 ± 2.05 vs 6.36 ± 2.33 cycles) and a markedly lower percentage of EAOC patients received were platinum resistant, when compared with non-EAOC patients (7.35% versus 20%). The findings suggest that EAOC may involve specific molecular mechanisms, which are partially reflected in the sensitivity to chemotherapeutic drugs and must be further investigated. In this study, the median follow-up time was 60 months. Our results showed that the EAOC patients exhibited significantly longer OS and DFS time than the non-EAOC group (median[IQR], 67[42,101] vs 57[24,88]months and 60[36,89] vs 31[12,69]months, as seen in Tables 3 and 4). Different results have been reported previously. A meta-analysis conducted by Kim et al. showed a better OS rate for EAOC patients (HR 0.778; 95% CI 0.655–0.925) [27]. Orezzoli reported 5-year survival rates of 75% and 34% in two groups of patients with OCCC [28]. These values were in agreement with our results. However, no significant differences in survival rates between two groups of patients were observed by Scarfone [9] and Acién [29]. Multivariate analysis using a Cox regression model revealed that endometriosis remained being the independent impact factor affecting DFS, but not for OS. Besides, FIGO stage, receiving lymphadenectomy, residual disease and chemo-resistance were independent factors affecting the DFS rate in EOC patients. While, FIGO stage, residual disease, the courses of chemotherapy, chemo-resistance and hypertension were independent factors affecting the OS rate. These findings are partially in agreement with the results reported by Garrett et al. [17], Yang et al. [30] and Nasioudis et al. [31]. Collectively, the above findings suggest that the presence of EM might predict a better clinical prognosis for EOC patients. Our data also showed hypertension was the independent predictive factor for OS, which finding had been reported by Minlikeeva et al. [32]. The underlying mechanism of correlation between hypertensions and survival of EOC patients is unclear and need to be explored. Admittedly, this study did not embrace all variable histotypes of EOC, but only included clear cell and endometrioid subtypes. Garrett et al. analyzed the prognosis of patients with different histological types of OC and observed a better prognosis in patients with endometrioid carcinoma [17]. As we have known, clear cell and endometrioid carcinoma occupied of the massive majority of EAOC, which were also indicated by our previous results. With this in mind, it was reasonable to obtain reliable information about the characteristics for EAOC by analyzing the data extracted from this series of patients.

Conclusions

This study showed that EOC patients with coexisting EM (EAOC group) were characterized by a younger age of onset, a higher percentage of premenopausal status, lower preoperative CA125 levels, an early tumor stage, a greater extent of satisfying tumor debulking, less opportunity of lymph node metastasis and developing chemo-resistance. The EAOC patients also exhibited better survival, and EM itself was an independent factor affecting DFS. This study was a retrospective case analysis. Certain biases might exist in the results due to inconsistency of the clinical features of the enrolled patients and lack of integrity of the collected clinical data. We expect that further research on this topic will be conducted, particularly at the level of molecular biology to facilitate the screening and early diagnosis of the population at high risk for malignant transformation of EM, ultimately improving the clinical prognosis of the disease.
  31 in total

1.  Synchronous primary ovarian and endometrial cancer with a fair prognosis in a young woman.

Authors:  Yu-Hsuan Yang; Ruey-Jien Chen; Ming-Chieh Lin; Shao-Pei Cheng; Ting-Chen Chang
Journal:  Taiwan J Obstet Gynecol       Date:  2010-03       Impact factor: 1.705

2.  Endometriosis and the risk of cancer with special emphasis on ovarian cancer.

Authors:  A Melin; P Sparén; I Persson; A Bergqvist
Journal:  Hum Reprod       Date:  2006-01-23       Impact factor: 6.918

3.  Characteristics of clear cell ovarian cancer arising from endometriosis: a two center cohort study.

Authors:  Giovanna Scarfone; Alice Bergamini; Stefania Noli; Antonella Villa; Sonia Cipriani; Gianluca Taccagni; Paola Vigano'; Massimo Candiani; Fabio Parazzini; Giorgia Mangili
Journal:  Gynecol Oncol       Date:  2014-03-15       Impact factor: 5.482

4.  Prognostic significance of lymphadenectomy and prevalence of lymph node metastasis in clinically-apparent stage I endometrioid and mucinous ovarian carcinoma.

Authors:  Dimitrios Nasioudis; Eloise Chapman-Davis; Steven S Witkin; Kevin Holcomb
Journal:  Gynecol Oncol       Date:  2016-11-28       Impact factor: 5.482

5.  Endometrioid and clear cell ovarian cancers: a comparative analysis of risk factors.

Authors:  Christina M Nagle; Catherine M Olsen; Penelope M Webb; Susan J Jordan; David C Whiteman; Adèle C Green
Journal:  Eur J Cancer       Date:  2008-08-15       Impact factor: 9.162

Review 6.  Endometriosis and the development of malignant tumours of the pelvis. A review of literature.

Authors:  Toon Van Gorp; Frederic Amant; Patrick Neven; Ignace Vergote; Phillipe Moerman
Journal:  Best Pract Res Clin Obstet Gynaecol       Date:  2004-04       Impact factor: 5.237

Review 7.  Association between endometriosis and cancer: a comprehensive review and a critical analysis of clinical and epidemiological evidence.

Authors:  Edgardo Somigliana; Paola Vigano'; Fabio Parazzini; Sandra Stoppelli; Erika Giambattista; Paolo Vercellini
Journal:  Gynecol Oncol       Date:  2006-02-13       Impact factor: 5.482

8.  The prognostic value of pretreatment CA-125 levels and CA-125 normalization in ovarian clear cell carcinoma: a two-academic-institute study.

Authors:  Huimin Bai; Guisha Sha; Meizhu Xiao; Huiqiao Gao; Dongyan Cao; Jiaxin Yang; Jie Chen; Yue Wang; Zhenyu Zhang; Keng Shen
Journal:  Oncotarget       Date:  2016-03-29

9.  History of Comorbidities and Survival of Ovarian Cancer Patients, Results from the Ovarian Cancer Association Consortium.

Authors:  Albina N Minlikeeva; Jo L Freudenheim; Kevin H Eng; Rikki A Cannioto; Grace Friel; J Brian Szender; Brahm Segal; Kunle Odunsi; Paul Mayor; Brenda Diergaarde; Emese Zsiros; Linda E Kelemen; Martin Köbel; Helen Steed; Anna deFazio; Susan J Jordan; Peter A Fasching; Matthias W Beckmann; Harvey A Risch; Mary Anne Rossing; Jennifer A Doherty; Jenny Chang-Claude; Marc T Goodman; Thilo Dörk; Robert Edwards; Francesmary Modugno; Roberta B Ness; Keitaro Matsuo; Mika Mizuno; Beth Y Karlan; Ellen L Goode; Susanne K Kjær; Estrid Høgdall; Joellen M Schildkraut; Kathryn L Terry; Daniel W Cramer; Elisa V Bandera; Lisa E Paddock; Lambertus A Kiemeney; Leon F A G Massuger; Rebecca Sutphen; Hoda Anton-Culver; Argyrios Ziogas; Usha Menon; Simon A Gayther; Susan J Ramus; Aleksandra Gentry-Maharaj; Celeste L Pearce; Anna H Wu; Jolanta Kupryjanczyk; Allan Jensen; Penelope M Webb; Kirsten B Moysich
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2017-09       Impact factor: 4.090

10.  Risk and prognosis of ovarian cancer in women with endometriosis: a meta-analysis.

Authors:  H S Kim; T H Kim; H H Chung; Y S Song
Journal:  Br J Cancer       Date:  2014-02-11       Impact factor: 7.640

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1.  Association Between Endometriosis and Prognosis of Ovarian Cancer: An Updated Meta-Analysis.

Authors:  Peng Chen; Chi-Yuan Zhang
Journal:  Front Oncol       Date:  2022-03-31       Impact factor: 6.244

Review 2.  Ovarian endometriosis, a precursor of ovarian cancer: Histological aspects, gene expression and microRNA alterations (Review).

Authors:  Adriana Ioana Gaia-Oltean; Cornelia Braicu; Diana Gulei; Razvan Ciortea; Dan Mihu; Horace Roman; Alexandru Irimie; Ioana Berindan-Neagoe
Journal:  Exp Ther Med       Date:  2021-01-22       Impact factor: 2.447

Review 3.  A Review of the Clinical Characteristics and Novel Molecular Subtypes of Endometrioid Ovarian Cancer.

Authors:  Shuangfeng Chen; Yuebo Li; Lili Qian; Sisi Deng; Luwen Liu; Weihua Xiao; Ying Zhou
Journal:  Front Oncol       Date:  2021-06-03       Impact factor: 6.244

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