Case report: Germline BRCA 2 mutation in primary peritoneal carcinoma: a rare malignancy.

Background: Primary peritoneal carcinoma (PPC) is a rare malignancy. Clinically, its histological morphology resembles that of epithelial ovarian tumors (EOC), often leading to misdiagnosis. Diagnosis and treatment of PPC are time-sensitive because of the rapidly progressive nature of the disease. Case report: Herein, we report the case of a 54-year-old woman who was initially diagnosed with ovarian cancer; however, extensive workup showed evidence of Müllerian PPC origin. Furthermore, the patient harbored a targetable BRCA mutation. Conclusion: The patient was treated with the BRCA-targeting agents and had a good prognosis after surgery.

17ß-hydroxysteroid dehydrogenase type 1 improves survival in serous epithelial ovarian tumors.

The incidence of ovarian cancer has been epidemiologically related to female reproductive events and hormone replacement therapy after menopause. This highlights the importance of evaluating the role of sexual steroid hormones in ovarian cancer by the expression of enzymes related to steroid hormone biosynthesis in the tumor cells. This study was aimed to evaluate the presence of 17ß-hydroxysteroid dehydrogenase type 1 (17ß-HSD1), aromatase and estrogen receptor alpha (ERα) in the tumor cells and their association with the overall survival in 111 patients diagnosed with primary ovarian tumors. Positive immunoreactivity for 17ß-HSD1 was observed in 74% of the tumors. In the same samples, aromatase and ERα revealed 66% and 47% positivity, respectively. No association was observed of 17ß-HSD1 expression with the histological subtypes and clinical stages of the tumor. The overall survival of patients was improved in 17ß-HSD1-positive group in Kaplan-Meier analysis (P = 0.028), and 17ß-HSD1 expression had a protective effect from multivariate proportional regression evaluation (HR = 0.44; 95% CI 0.24-0.9; P = 0.040). The improved survival was observed in serous epithelial tumors but not in nonserous ovarian tumors. The expression of 17ß-HSD1 in the cells of the serous epithelial ovarian tumors was associated with an improved overall survival, whereas aromatase and ERα were not related to a better survival. The evaluation of hazard risk factors demonstrated that age and clinical stage showed worse prognosis, and 17ß-HSD1 expression displayed a protective effect with a better survival outcome in patients of epithelial ovarian tumors.

Reproductive and oncologic outcomes in women with non-epithelial ovarian cancer: Single center experience over 25 years.

Objective: This study aimed to present our single-center clinical experience regarding tumor clinicopathologic features, treatment modalities, and reproductive and oncologic outcomes in patients with non-epithelial ovarian cancer (NEOC) over 25 years. Materials and Methods: A total of 100 patients with clinicopathological diagnosis of NEOC who were treated at our tertiary care center between 1996 and 2022 were included in this retrospective cohort analysis study. Data on demographic, clinical and obstetric characteristics of patients at the time of initial diagnosis as well as tumor clinicopathologic features, treatment modalities, and oncological and reproductive outcomes were recorded. Results: NEOCs involved germ cell tumors (GCTs) in 46 (46%) patients and sex cordstromal tumors (SCSTs) in 54 (54%) patients. Thirty patients with GCTs and thirty-four patients with SCSTs possessed histological subtypes with malignant features. Most patients with GCTs (37%) and SCSTs (55.6%) had FIGO Stage 1 disease at the time of initial diagnosis. Overall, 76.6% of patients in the GCT group (n=23) underwent fertility-sparing surgery (FSS), while 76.5% of the patients in the SCST group (n=26) were treated with non-fertility-sparing surgical procedures. All patients who underwent FSS and had a recurrence in their follow-up (n=4) was stage 3 patients. Seven out of 10 patients (2 patients at stage 3 and 5 patients at stage 1) who desired pregnancy delivered between 38 and 40 gestational weeks without any congenital anomaly. The prognosis was excellent in both groups, with 5-year overall survival (OS) rates of 93.5% in GCTs and 96.3% in SCST groups. The 5-year disease-free survival was 89.1% in GCTs and 94.4% in SCSTs. FSS was not associated with worse oncologic outcomes. Conclusion: NEOCs usually have a good prognosis because they are detected at an early stage. FSS may be indicated for women of reproductive age with early-stage NEOCs.

Combined use of CA125, neutrophil/lymphocyte ratio and platelet/lymphocyte ratio for the diagnosis of borderline and malignant epithelial ovarian tumors.

BACKGROUND: The mortality rate of ovarian cancer ranks first among three common gynecological malignant tumors due to insidious onset and lack of effective early diagnosis methods. Borderline epithelial ovarian tumor (BEOT) is a type of low malignant potential tumor that is typically associated with better outcomes than ovarian cancer. However, BEOTs are easily confused with benign and malignant epithelial ovarian tumors (EOTs) due to similar clinical symptoms and lack of specific tumor biomarkers and imaging examinations. Notably, a small subset of BEOTs will transform into low-grade serous ovarian carcinoma with a poor prognosis. Therefore, searching for potential biomarkers that can be easily obtained and accurately identify malignant epithelial ovarian tumors (MEOTs) as well as BEOTs is essential for the clinician. Cancer antigen 125 (CA125) is a commonly used biomarker for the diagnosis of EOTs in the preoperative scenario but has low sensitivity and specificity. Nowadays, inflammatory biomarkers including inflammatory cell counts and derived ratios such as neutrophil/lymphocyte ratio (NLR) and platelet/lymphocyte ratio (PLR) have been proved to be associated with tumor progression and poor prognosis, and were considered to be the most economically potential surrogate biomarkers for various malignancies. The purpose of this study was to find appropriate combinations of inflammatory and tumor biomarkers to improve the diagnostic efficiency of EOTs, especially the BEOTs. RESULTS: CA125, NLR and PLR increased steadily among benign, borderline and malignant EOTs and tended to be higher in advanced (stage III-IV) and lymph node metastasis MEOT groups than in early stage (stage I-II) and non-lymph node metastasis MEOT groups. CA125, NLR and PLR could be used separately in the differentiation of EOTs but could not take into account both sensitivity and specificity. The combined use of CA125, NLR and PLR was evaluated to be more efficient, especially in the identification of BEOTs, with both high sensitivity and high specificity. CONCLUSIONS: The levels of CA125, NLR and PLR were closely related to the nature of EOTs and malignant progression of MEOTs. The combination of CA125, NLR and PLR was more accurate in identifying the nature of EOTs than either alone or double combination, especially for BEOTs.

MRI-Based Multiple Instance Convolutional Neural Network for Increased Accuracy in the Differentiation of Borderline and Malignant Epithelial Ovarian Tumors.

BACKGROUND: Preoperative differentiation of borderline from malignant epithelial ovarian tumors (BEOT vs. MEOT) is challenging and can significantly impact surgical management. PURPOSE: To develop a multiple instance convolutional neural network (MICNN) that can differentiate BEOT from MEOT, and to compare its diagnostic performance with that of radiologists. STUDY TYPE: Retrospective study of eight clinical centers. SUBJECTS: Between January 2010 and June 2018, a total of 501 women (mean age, 48.93 ± 14.05 years) with histopathologically confirmed BEOT (N = 165) or MEOT (N = 336) were divided into the training (N = 342) and validation cohorts (N = 159). FIELD STRENGTH/SEQUENCE: Three axial sequences from 1.5 or 3 T scanner were used: fast spin echo T2-weighted imaging with fat saturation (T2WI FS), echo planar diffusion-weighted imaging, and 2D volumetric interpolated breath-hold examination of contrast-enhanced T1-weighted imaging (CE-T1WI) with FS. ASSESSMENT: Three monoparametric MICNN models were built based on T2WI FS, apparent diffusion coefficient map, and CE-T1WI. Based on these monoparametric models, we constructed an early multiparametric (EMP) model and a late multiparametric (LMP) model using early and late information fusion methods, respectively. The diagnostic performance of the models was evaluated using the receiver operating characteristic (ROC) curve and compared to the performance of six radiologists with varying levels of experience. STATISTICAL TESTS: We used DeLong test, chi-square test, Mann-Whitney U-test, and t-test, with significance level of 0.05. RESULTS: Both EMP and LMP models differentiated BEOT from MEOT, with an area under the ROC curve (AUC) of 0.855 (95% CI, 0.795-0.915) and 0.884 (95% CI, 0.831-0.938), respectively. The AUC of the LMP model was significantly higher than the radiologists' pooled AUC (0.884 vs. 0.797). DATA CONCLUSION: The developed MICNN models can effectively differentiate BEOT from MEOT and the diagnostic performances (AUCs) were more superior than that of the radiologists' assessments. LEVEL OF EVIDENCE: 3 TECHNICAL EFFICACY STAGE: 2.

Simultaneous expression of steroid sulfatase and androgen receptor reduced overall survival of patients with epithelial ovarian tumors.

BACKGROUND: Ovarian cancer is usually diagnosed at an advanced stage due to its early asymptomatic course and late-stage non-specific symptoms. This highlights the importance of researching the molecular mechanisms involved in ovarian carcinogenesis as well as the discovery of novel prognostic markers that could help improve the survival outcome of patients. The aim of this study was to evaluate the expression of the steroid sulfatase (STS) in 154 samples of primary ovarian tumors. This protein is crucial in the intracellular conversion of sulfated steroid hormones to active steroid hormones. The presence of STS, 3ß-HSD, and 17ß-HSD1 result in the production of testosterone which act through the androgen receptor (AR) in the tumor cell. The presence of STS and AR in epithelial ovarian tumors and their association to the overall survival of patients was evaluated using Kaplan-Meier and Cox regression analyses. RESULTS: Immunoreactivity for STS was detected in 65% of the tumors and no association was observed with histological subtypes and clinical stages of the tumor. The STS expression in the tumors exhibiting immunoreactive AR resulted in a reduced survival (log-rank test, p = 0.032) and a risk factor in univariate and multivariate analysis, HR = 3.46, CI95% 1.00-11.92, p = 0.049 and HR = 5.92, CI95% 1.34-26.09, p = 0.019, respectively. CONCLUSIONS: These findings suggest that the intracellular synthesis of testosterone acting through its receptor can promote tumor growth and progression. Moreover, the simultaneous expression of STS and AR constitutes an independent predictor of poor prognosis in epithelial ovarian tumors.

Texture Analysis of Three-Dimensional MRI Images May Differentiate Borderline and Malignant Epithelial Ovarian Tumors.

OBJECTIVE: To explore the value of magnetic resonance imaging (MRI)-based whole tumor texture analysis in differentiating borderline epithelial ovarian tumors (BEOTs) from FIGO stage I/II malignant epithelial ovarian tumors (MEOTs). MATERIALS AND METHODS: A total of 88 patients with histopathologically confirmed ovarian epithelial tumors after surgical resection, including 30 BEOT and 58 MEOT patients, were divided into a training group (n = 62) and a test group (n = 26). The clinical and conventional MRI features were retrospectively reviewed. The texture features of tumors, based on T2-weighted imaging, diffusion-weighted imaging, and contrast-enhanced T1-weighted imaging, were extracted using MaZda software and the three top weighted texture features were selected by using the Random Forest algorithm. A non-texture logistic regression model in the training group was built to include those clinical and conventional MRI variables with p value < 0.10. Subsequently, a combined model integrating non-texture information and texture features was built for the training group. The model, evaluated using patients in the training group, was then applied to patients in the test group. Finally, receiver operating characteristic (ROC) curves were used to assess the diagnostic performance of the models. RESULTS: The combined model showed superior performance in categorizing BEOTs and MEOTs (sensitivity, 92.5%; specificity, 86.4%; accuracy, 90.3%; area under the ROC curve [AUC], 0.962) than the non-texture model (sensitivity, 78.3%; specificity, 84.6%; accuracy, 82.3%; AUC, 0.818). The AUCs were statistically different (p value = 0.038). In the test group, the AUCs, sensitivity, specificity, and accuracy were 0.840, 73.3%, 90.1%, and 80.8% when the non-texture model was used and 0.896, 75.0%, 94.0%, and 88.5% when the combined model was used. CONCLUSION: MRI-based texture features combined with clinical and conventional MRI features may assist in differentitating between BEOT and FIGO stage I/II MEOT patients.

The clinical impact of intra- and extracellular miRNAs in ovarian cancer.

Ovarian cancer is the most lethal gynecological cancer due to lack of early screening methods and acquired drug resistance. MicroRNAs (miRNAs) are effective post-transcriptional regulators that are transferred by extracellular vesicles, such as exosomes. Numerous studies have revealed that miRNAs are differentially expressed in epithelial ovarian cancer and act either as oncogenes or tumor suppressor genes. Cancer cells secrete exosomes containing miRNAs, which exert various effects on the components of the tumor microenvironment, including cancer-associated fibroblasts, macrophages, and adipocytes. Conversely, cancer cells also receive exosomes from these cells. As a result of cell-to-cell communication, epithelial ovarian cancer acquires a more aggressive phenotype and resistance to multiple drugs. In addition, some circulating miRNAs are protected from RNase degradation in the peripheral blood and can be potential non-invasive biomarkers. In particular, the combination of several circulating miRNAs enhances the accuracy of cancer screening. Likewise, comprehensive analyses revealed specific miRNA signatures in non-epithelial ovarian tumors and several miRNAs contributing to alterations of carcinogenic pathways. Overall, miRNAs play a crucial role in ovarian cancer progression. In this review, we discuss the emerging roles of intra- and extracellular miRNAs in ovarian cancers. In the near future, miRNAs will be practical biomarkers and computational deep learning will help in the clinical application of miRNAs. Moreover, miRNAs are potential therapeutic targets and agents, and there are ongoing clinical trials of miRNA replacement therapy. Therefore, accelerating research on miRNA might improve the prognosis of patients with ovarian cancer.

MRI-Based Machine Learning for Differentiating Borderline From Malignant Epithelial Ovarian Tumors: A Multicenter Study.

BACKGROUND: Preoperative differentiation of borderline from malignant epithelial ovarian tumors (BEOT from MEOT) can impact surgical management. MRI has improved this assessment but subjective interpretation by radiologists may lead to inconsistent results. PURPOSE: To develop and validate an objective MRI-based machine-learning (ML) assessment model for differentiating BEOT from MEOT, and compare the performance against radiologists' interpretation. STUDY TYPE: Retrospective study of eight clinical centers. POPULATION: In all, 501 women with histopathologically-confirmed BEOT (n = 165) or MEOT (n = 336) from 2010 to 2018 were enrolled. Three cohorts were constructed: a training cohort (n = 250), an internal validation cohort (n = 92), and an external validation cohort (n = 159). FIELD STRENGTH/SEQUENCE: Preoperative MRI within 2 weeks of surgery. Single- and multiparameter (MP) machine-learning assessment models were built utilizing the following four MRI sequences: T2 -weighted imaging (T2 WI), fat saturation (FS), diffusion-weighted imaging (DWI), apparent diffusion coefficient (ADC), and contrast-enhanced (CE)-T1 WI. ASSESSMENT: Diagnostic performance of the models was assessed for both whole tumor (WT) and solid tumor (ST) components. Assessment of the performance of the model in discriminating BEOT vs. early-stage MEOT was made. Six radiologists of varying experience also interpreted the MR images. STATISTICAL TESTS: Mann-Whitney U-test: significance of the clinical characteristics; chi-square test: difference of label; DeLong test: difference of receiver operating characteristic (ROC). RESULTS: The MP-ST model performed better than the MP-WT model for both the internal validation cohort (area under the curve [AUC] = 0.932 vs. 0.917) and external validation cohort (AUC = 0.902 vs. 0.767). The model showed capability in discriminating BEOT vs. early-stage MEOT, with AUCs of 0.909 and 0.920, respectively. Radiologist performance was considerably poorer than both the internal (mean AUC = 0.792; range, 0.679-0.924) and external (mean AUC = 0.797; range, 0.744-0.867) validation cohorts. DATA CONCLUSION: Performance of the MRI-based ML model was robust and superior to subjective assessment of radiologists. If our approach can be implemented in clinical practice, improved preoperative prediction could potentially lead to preserved ovarian function and fertility for some women. LEVEL OF EVIDENCE: Level 4. TECHNICAL EFFICACY: Stage 2. J. Magn. Reson. Imaging 2020;52:897-904.

Multiparametric MRI for differentiation of borderline ovarian tumors from stage I malignant epithelial ovarian tumors using multivariate logistic regression analysis.

OBJECTIVE: To assess the value of contrast-enhanced MRI, apparent diffusion coefficient (ADC) measurement, and CA-125 measurement for differentiating borderline ovarian tumors (BOTs) from stage I malignant epithelial ovarian tumors (MEOTs). MATERIAL AND METHODS: This retrospective study included 43 patients with BOTs and 43 patients with stage I MEOTs who underwent contrast-enhanced MRI with DWI and CA-125 analysis. Two radiologists evaluated the MRI findings in consensus. Univariate and multivariate analyses were performed to detect the best predictor variables for MEOTs. RESULTS: Mixed cystic/solid and predominantly solid appearances, as well as thickened irregular septa, were more frequent in MEOTs. A papillary architecture and internal branching (PA&IB) pattern was more frequent in BOTs. MEOTs had thicker walls and septa, larger solid components, and higher CA-125 values. The mean ADC value of solid components (ADCmean) and minimum ADC value of whole lesions (ADCmin) were lower in MEOTs. Multivariate analysis revealed that ADCmin and maximum diameter of the solid components were independent indicators of MEOTs with an AUC, sensitivity, and specificity of 0.86, 81%, and 84%, respectively. CONCLUSION: ADCmin and maximum diameter of solid components were useful for differentiating BOTs from MEOTs.

Expression of AQP6 and AQP8 in epithelial ovarian tumor.

Aquaporins (AQPs), the rapid transition pores for water molecules, play an important role in maintenance of intracellular water balance. Studies showed that AQPs were also involved in occurrence, development, invasion and metastasis of tumors. In this study, we aimed to explore the distribution and expression differences of aquaporin 6 (AQP6) and aquaporin 8 (AQP8) in epithelial ovarian tumors. The expression of AQP6 and AQP8 in 47 cases of epithelial ovarian tumors were measured by immunochemical technique and Western blotting. AQP6 was strongly expressed in benign ovarian tumors, but weak signal was shown in malignant tumors. The difference was not statistically significant (P > 0.05). Compared with serous adenoma and normal tissues, AQP6 expression in serous carcinoma was obviously decreased (P < 0.05). AQP8 expressions were both identified in benign and malignant tumors, but there was no significantly statistical difference (P > 0.05). For patients with large volume of malignant ascites (>1000 ml), AQP8 expression was increased (P < 0.05). AQP8 expression in malignant tumors was not related to different clinical stages, presence of lymphatic metastasis, and differentiation degrees (P > 0.05). These data showed that AQP6 and AQP8 had different expression degrees in epithelial ovarian tissues, which suggests that AQP6 and AQP8 may play certain roles in epithelial ovarian tumors.

Expression of VEGF-D in epithelial ovarian cancer and its relationship to lymphatic metastasis.

AIM: To investigate the contribution of vascular endothelial growth factor (VEGF)-D to tumor progression, tumor lymphangiogenesis and lymphatic metastasis in epithelial ovarian cancer. METHODS: The expression profiles of VEGF-D in 18 benign, 14 borderline and 87 malignant epithelial ovarian cancers were examined using immunohistochemical (IHC) staining. Lymphatic vessels were identified using IHC staining on lymphatic vessel endothelial hyaluronan receptor-1 (LYVE-1), which is a lymph-specific receptor for hyaluronan in identifying lymphatic vessels. The potential correlation among VEGF-D, lymphatic vessel density (LVD) and clinico-pathological factors of the epithelial ovarian cancer was also analyzed. RESULTS: Positive IHC staining of VEGF-D was observed in 17% of benign, 21% of borderline and 80% of malignant epithelial ovarian tumors specimens. In the epithelial ovarian cancer specimens, the LVD was 3.41 ± 2.37 in the VEGF-D negative (17 patients), 5.42 ± 3.49 in the weak (26 patients), 7.22 ± 2.36 in the moderate (27 patients) and 7.35 ± 4.06 in the strong (17 patients) groups, respectively. Additionally, the expression of VEGF-D was positively correlated with LVD (r = 0.415, P < 0.001). The expression level of VEGF-D was significantly higher in lymph node-positive epithelial ovarian cancer than in lymph node-negative patients (P = 0.009, P < 0.05). The expression of VEGF-D was significantly correlated with lymph node metastasis, International Federation of Gynecology and Obstetrics stage and tumor histological differentiation, but not with the patients' age or histology type. CONCLUSION: VEGF-D may play an important role in the process of lymphatic metastasis of epithelial ovarian cancer.

Long-term follow-up of patients with an isolated ovarian recurrence after conservative treatment of epithelial ovarian cancer: review of the results of an international multicenter study comprising 545 patients.

OBJECTIVE: To determine the long-term outcomes of patients with an isolated ovarian recurrence after fertility sparing surgery (FSS) for epithelial ovarian cancer (EOC) and to evaluate the recurrence rates (and location) according to the new 2014 International Federation of Gynecology and Obstetrics (FIGO) staging system. DESIGN: Retrospective multicenter study. SETTING: Teams having reported recurrence after FSS for EOC. PATIENT(S): Four series comprising 545 patients undergoing FSS and 63 (12%) recurrences. INTERVENTION(S): FSS (salpingo-oophorectomy for a majority of cases) for EOC. MAIN OUTCOMES MEASURE(S): Recurrences rates and characteristics of recurrent disease. RESULT(S): Among 63 recurrent patients, 24 (38%) recurrences were isolated on the spared ovary, and 39 (62%) arose at an extraovarian site. Among the patients with an isolated ovarian recurrence, three patients died after a median follow-up period of 186 months (range: 28-294 months). Among the patients with recurrent extraovarian disease, 24 died and 7 were alive with persistent disease after a median follow-up period of 34 months (range: 3-231 months). The overall rate of isolated ovarian and extrapelvic recurrences was higher for grade 3 tumors (compared with grades 1/2). CONCLUSION(S): The long-term survival of patients with an isolated ovarian recurrence after FSS for EOC remains favorable. The prognosis of patients with an extraovarian recurrence is poor compared with those who have an isolated recurrent ovarian tumor. Grade 3 tumors (compared to grades 1/2) give rise to a higher rate of extraovarian recurrences.

The stimulation of IGF-1R expression by Lewis(y) antigen provides a powerful development mechanism of epithelial ovarian carcinoma.

OBJECTIVE: This study aimed to measure and correlate the expression of insulin-like growth factor receptor-1 (IGF-1R) and the Lewis(y) antigen in ovarian cancer cell lines and tissue samples. METHODS: Reverse transcriptase PCR (RT-PCR), Western blotting, immunoprecipitation, immunohistochemistry, and immunofluorescence double-labeling techniques were applied to detect and measure the expression of Lewis(y) and IGF-1R. RESULTS: In α1,2-fucosyltransferase (α1,2-FT)-transfected cells, IGF-1R expression was significantly upregulated compared with cells that do not overexpress α1,2-FT (P < 0.05). The amount of Lewis(y) expressed on IGF-1R increased 1.81-fold in α1,2-FT-overexpressing cells (P < 0.05), but the ratio of Lewis(y) expressed on IGF-1R to total IGF-1R was unaltered between two cells (P > 0.05). In malignant epithelial ovarian tumors, the positivity rates of Lewis(y) and IGF-1R detection were 88.3% and 93.33%, respectively, which is higher than the positivity rates in marginal (60.00% and 63.33%, all P < 0.05), benign (33.00% and 53.33%, all P < 0.01), and normal (0% and 40%, all P < 0.01) ovarian samples. No correlations were detected in positivity rates of Lewis(y) or IGF-1R expression with respect to clinicopathological parameters in ovarian cancers (all P > 0.05). Both IGF-1R and Lewis(y) were highly expressed in ovarian cancer tissues, and their expression levels were positively correlated (P < 0.05). CONCLUSION: Overexpression of Lewis(y) results in overexpression of IGF-1R. Both IGF-1R and Lewis(y) are associated with the occurrence and development of ovarian cancers.

Study on the expression and clinical significances of lewis y antigen and integrin αv, ß3 in epithelial ovarian tumors.

OBJECTIVE: To detect the expression and clinical significances of Lewis y antigen and integrin αv, ß3 in epithelial ovarian tumors, and to explore the expression correlation between Lewis y antigen and integrin αv, ß3. METHODS: Immunohistochemical staining was performed in 95 cases of epithelial ovarian cancer, 37 cases of borderline tumors, 20 cases of benign tumors, and 20 cases of normal ovarian tissue, for the detection of Lewis y antigen and integrin αv, ß3 expressions, and to analyze the relationship between Lewis y antigen and integrin, and the relationship between clinical and pathological parameters of ovarian cancer. In addition, immunofluorescence double labeling was utilized to detect the expression correlation between Lewis y antigen and integrin αv, ß3 in ovarian cancer. RESULTS: In epithelial ovarian tumors, the expression rate of Lewis y antigen was 81.05%, significantly higher than that of borderline (51.53%) (P < 0.05) and benign (25%) (P < 0.01) tumors, and normal ovarian tissues (0) (P < 0.01). The expression rate of integrin αv, ß3 in malignant epithelial ovarian tumors was 78.95% and 82.11%, respectively, significantly higher than that of the borderline (45.94%, 40.54%) (both P < 0.05), benign group (10.00%, 15.00%) (both P < 0.01) and normal ovary group (5%, 15%) (both P < 0.01). CONCLUSIONS: Lewis y and integrins αv, ß3 are relevant to pelvic and abdominal diffusion and metastasis of ovarian cancer cells, suggesting that these two molecules mediate a boosting function for tumor metastasis.