Benign Epithelial Ovarian Tumors Research Articles

Association of Preoperative Neutrophil to Lymphocyte Ratio in Patients with Epithelial Ovarian Tumor

Objective: Ovarian cancer is a leading cause of gynecological cancer death among women worldwide. Silent growth of the tumor and challenges associated with preoperative evaluation of an ovarian mass are responsible for late presentation. The aim of this study was to evaluate the association between preoperative neutrophil to lymphocyte ratio (NLR) and epithelial ovarian tumor. Methods: A total of 60 patients diagnosed with ovarian tumor who fulfilled the selection criteria were recruited as study population. The ovarian tumor was subsequently diagnosed by histopathological analysis as either malignant epithelial ovarian tumor or benign epithelial ovarian tumor. Preoperative demographic and laboratory variables are reviewed in all patients. Association of preoperative NLR was assessed in benign and malignant epithelial ovarian tumor using unpaired t test. Receiver operating characteristics curve was used to calculate optimal cut off value for NLR to predict ovarian cancer preoperatively. A p-value of <0.05 was considered to indicate statistically significant differences. Results: There was statistically significant difference between the groups in terms of age, menopausal status, and NLR (all p=0.001, except for menopausal status p=0.007). NLR value was significantly higher (3.47±1.52) in patients with malignant ovarian tumor (p=0.001) than that of benign ovarian tumor. Higher NLR value predicted ovarian cancer at the cut-off value of 2.78, with 75.6% sensitivity and 78.9% specificity (95% CI, 0.97-1.0). Conclusion: Malignant epithelial ovarian tumor is associated with higher NLR. Preoperative NLR may be helpful for prediction of malignant ovarian tumor.

Comparison of the diagnostic accuracy of HE4 with CA125 and validation of the ROMA index in differentiating malignant and benign epithelial ovarian tumours among patients in Lagos, Nigeria.

This prospective cross-sectional study compared the diagnostic accuracy of human epididymal protein 4 (HE4) with cancer antigen 125 (CA 125) and validates the risk of malignancy algorithm (ROMA) in differentiating benign from malignant ovarian tumours. The study population included 112 women with an ultrasound diagnosis of an adnexal mass, out of whom 49 women had a diagnosis of ovarian cancer following optimal debulking surgery, and 63 women had a diagnosis of benign ovarian tumour. All diagnosis was confirmed by histopathological analysis. Serum HE4 and CA 125 were assessed preoperatively according to the manufacturer's instructions. CA 125 and HE4 cut-offs were 35 U/mL and 70 pM/L respectively. Serum CA 125 and HE4 were significantly higher in ovarian cancer patients compared to those with benign ovarian tumours (p < 0.001 and p < 0.000, respectively). HE4 had higher sensitivity (77.5% versus 69.4%), specificity (96.8% versus 82.5%), positive predictive value (PPV) (95% versus 75.6%) and negative predictive value (84.7% versus 77.6%) than CA 125. When the two markers were combined with each other in the ROMA index, Specificity and PPV reached 100% each. In the receiver operative characteristics analysis, the area under the curve for CA 125 was 0.679 (95% CI 0.566-0.791, p = 0.001), HE4 was 0.845 (95% CI 0.760-0.930, p = 0.000) and ROMA was 0.902 (95% CI 0.851-0.998, p = 0.000) and this was statistically significant (p < 0.001). Conclusively, HE4 performed better than CA 125 in differentiating benign from malignant ovarian tumours and the combination of the two biomarkers improved the detection of ovarian cancer. In addition, the cut off values corresponding to the highest accuracy for CA 125 and HE4 were 126 U/mL and 42 pM/L respectively in this study. The value for CA 125 is much higher while that of HE4 is much lower than the reference values obtained predominantly from the white population.

Role of protein tyrosine phosphatase receptor type M in epithelial ovarian cancer progression

BackgroundEpithelial ovarian cancer (EOC) is often diagnosed at advanced stages with low survival rates. Protein tyrosine phosphatase receptor type M (PTPRM) is involved in cancer development and progression; however, its role in EOC remains unclear. In this study,we aimed to detect PTPRM expression in ovarian epithelial tumors, analyze its relationship with the clinicopathological features and survival prognosis of patients with EOC, and provide a theoretical basis for new targets for EOC treatment. Fifty-seven patients with EOC treated at our hospital between January 2012–January 2014 were included; along with 18 borderline and 30 benign epithelial ovarian tumors and 15 normal ovarian and uterine tube tissue samples from patients surgically treated at our hospital during the same period. PTPRM expression was immunohistochemically detected, and we analyzed its relationship with clinicopathological features and prognosis. Associations between PTPRM expression and survival prognosis of patients with EOC were analyzed using the Gene Expression Profiling Interactive Analysis (GEPIA) and Kaplan–Meier Plotter databases.ResultsPTPRM had the highest expression rates in normal ovarian and uterine tube tissues, followed by benign and borderline epithelial ovarian tumors; the lowest positive expression rate was observed in EOC tumors. PTPRM expression differed significantly among groups (P < 0.05). The positive PTPRM expression rate significantly decreased with age, progressing clinical stage, and tumor recurrence, and the larger the mass diameter, the higher the positive PTPRM expression rate. PTPRM expression was significantly lower in ovarian cancer compared with that in normal tissues in the GEPIA database (P < 0.05). The overall survival (OS) and disease-free survival(DFS) rates were higher in the PTPRM high-expression group, with statistically significant (P < 0.05) and insignificant (P > 0.05) differences, respectively. The OS rate of the high-expression group compared with the low-expression group in the Kaplan–Meier Plotter database was higher, although without statistical significance (P > 0.05), and progression-free survival(PFS) was higher with statistical significance (P < 0.05).ConclusionPTPRM expression was low in patients with EOC, and the PTPRM positive-expression rate significantly decreased with progressing stages of EOC and tumor recurrence, suggesting that PTPRM acts as a tumor suppressor in EOC progression. Negative PTPRM expression may predict poor clinical outcomes in patients with EOC.

Differentiation of Borderline Epithelial Ovarian Tumors from Benign and Malignant Epithelial Ovarian Tumors by MRI Scoring.

The distinction between benign and borderline epithelial ovarian tumors is important because treatment and follow-up strategies differ. We aimed to evaluate benign, borderline, and malignant epithelial ovarian tumors using MRI features and contributed to the preoperative evaluation. MRIs of 81 patients (20 bilateral), including 31 benign, 27 borderline, and 23 malignant, who had pelvic imaging between 2013-2020, were evaluated retrospectively. The evaluation was made blindly to the pathology result by two radiologists with MRI scoring and features that we determined. MRI evaluation was performed with T1 TSE, T2 TSE, fat-suppressed T2 TSE, and before and after contrast T1 fat-suppressed and non-fat-suppressed TSE images. The numbers and findings obtained in scoring were evaluated by Chi-Square, ordinal logistic regression, and 2 and 3 category ROC analysis. The total score varied between 7 and 24. Among the three groups, a significant difference was found in terms of T1, T2 signal intensity (p <0.01), size (p = 0.055), solid area (p <0.001), septa number (p <0.05), ovarian parenchyma (p = 0.001), ascites (p <0.001), peritoneal involvement (p <0.001), laterality (p <0.001), contrast enhancement pattern (p <0.001). On the other hand, no significant difference was found in terms of wall thickness, lymph node involvement and endometrial thickness (p> 0.05). Cut-off values were found as 11.5 and 18.5 in the 3-category ROC analysis performed for the score (VUS: 0.8109). Patients with a score below 11.5 were classified as benign, those between 11.5-18.5 as borderline, and those over 18.5 as malignant. The differentiation of borderline tumors from benign and malignant tumors by MRI scoring will contribute to the preoperative diagnosis.

O-152 Benign epithelial ovarian tumors following use of fertility drugs: a register-based cohort study from Denmark

Abstract Study question Is use of fertility drugs associated with an increased risk of benign epithelial ovarian tumors among women with infertility? Summary answer Among women with infertility, use of fertility drugs is not associated with an increased risk of benign epithelial ovarian tumors. What is known already Benign epithelial ovarian tumors are the most common neoplasms in the ovaries. These benign tumors share some of the same risk factors, which are associated with ovarian cancer. The general understanding of the pathogenesis and etiology of ovarian cancer is sparse; therefore, knowledge on factors influencing development of benign epithelial ovarian tumors—and hence likely ovarian cancer—is warranted. Previous studies on the association between fertility treatment and ovarian cancer are conflicting, whereas no previous study has examined the association between use of fertility drugs and benign epithelial ovarian tumors. Study design, size, duration Retrospective register-based cohort study of nearly 145,000 women included in the Danish Infertility Cohort during 1995–2017 at age 20–45 years. Women were followed from one year after infertility diagnosis until first benign epithelial ovarian tumor or one of the censoring criteria: borderline ovarian tumor, ovarian cancer, oophorectomy, emigration, death or end of follow-up (December 31, 2018). Participants/materials, setting, methods Using the Aalen-Johansen estimator, we determined 10-year cumulative risks of benign epithelial ovarian tumors among approximately 25,000 women who used fertility drugs (defined within one year after infertility diagnosis: clomiphene citrate, gonadotropins, human chorionic gonadotropin, gonadotropin-releasing hormone [GnRH] receptor modulators, and progesterone) compared with women diagnosed with infertility and no drug use. Additionally, we used Cox proportional hazards regression models to calculate hazard ratios (HRs) and 95% confidence intervals (CIs). Main results and the role of chance Our results showed that the crude 10-year cumulative risk of benign epithelial ovarian tumors were 0.32% (95% CI: 0.29%–0.36%) for women who used any fertility drug compared with 0.49% (95% CI: 0.40%–0.60%) in women with no use of fertility drugs (risk difference: -0.17% [95% CI: -0.28–(-0.07)]). When adjusted for age, calendar period of infertility diagnosis, educational level, parity, obesity, polycystic ovary syndrome, and origin of infertility information, the HR for use of any fertility drug was 0.73 (95% CI 0.55–0.96). In general, the 10-year risk differences as well as the HRs for each drug evaluated separately were similar to the results for use of any drug. Lastly, we tested the robustness of our results by various pre-defined secondary analyses, and this did not change our results. Limitations, reasons for caution We did not include information on number of cycles and treatment regimens as these are only partly available in the registers. Wider implications of the findings Among women with infertility, we observe a lower relative risk of benign epithelial ovarian tumors for women treated with fertility drugs compared with women who did not use fertility drugs. However, this finding translates into a small decrease in absolute risk, which does not appear to have any clinical relevance. Trial registration number Not applicable

Evaluation of the Expression Intensity of Glucose Transporter-1 Marker and its Diagnostic Value in Differentiating Between Borderline and Malignant Ovarian Epithelial Tumors

Background: Ovarian cancer ranks second among gynecological cancers worldwide. This study aimed to compare the glucose transporter-1 (GLUT-1) expression in benign, borderline, and malignant ovarian epithelial tumors and evaluate GLUT-1 expression as a diagnostic tool for distinguishing tumors in the ovary. Materials and Methods: This descriptive-analytical cross-sectional study analyzed 69 pathological samples of patients diagnosed with ovarian epithelial tumors who underwent oophorectomy. Immunohistochemical staining was performed using GLUT-1 antibody. The intensity of cell membrane staining and the proportion of positive neoplastic cells were graded to score immunostaining. Chi-square/Fisher’s exact test was used to analyze the data. The sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV), and staining accuracy for GLUT-1 in distinguishing borderline from invasive tumors were calculated by standard methods (P&lt;0.05). Results: In all benign tumors, GLUT-1 staining was negative. In addition, weak staining intensity was observed in 38.5% of borderline tumors, and 96% of invasive tumors had strong staining intensity (P&lt;0.001). Strong GLUT-1 staining was found in 94.7% of Papillary Serous Carcinoma, 9/1% of Borderline Serous tumors, 100% of Brenner tumors, and clear cell carcinoma. The results demonstrated a high diagnostic value of GLUT-1 expression intensity in differentiating between borderline and malignant ovarian epithelial tumors (Accuracy: 97.10, Sensitivity: 96%, Specificity: 97.73). Conclusion: Overall, GLUT-1 expression could help distinguish benign from borderline, especially borderline from malignant ovarian epithelial tumors. Thus, it seems that it provides useful prognostic information, particularly for the borderline category.

Expression of Salivary Immediate Early Response Gene X-1 as a Predictor of Malignancy in Epithelial Ovarian Tumor

Objective: This diagnostic study aims to determine the expression of salivary IEX-1 as a predictor of malignancy in epithelial ovarian tumors. &#x0D; Methods: Samples were obtained from ovarian cancer patients who were scheduled for elective surgery. Patients' saliva was collected before surgery and used as the study's research material. Research subjects who met the inclusion and exclusion criteria were divided into two groups based on the post-operative histopathological results, benign and malignant epithelial ovarian tumors. The salivary IEX-1 expression was examined using the Real Time qPCR method. We compared and analyzed the salivary IEX-1 expression ​​in benign and malignant epithelial ovarian tumors. &#x0D; Results: The results of this study were obtained from 47 epithelial ovarian tumors subjects, 22 malignant tumors and 27 benign tumors. The mean salivary IEX-1 expression in benign epithelial ovarian tumors was higher (1.976) than the malignant tumors (0.554) (p&lt;0.001). The AUC value of IEX-1 expression was 0.949 (95% CI 0.894-1,000), cut off point of salivary IEX-1 is ≥ 0,9115 with sensitivity 84%, specificity 86,4%, positive predictive value 82.6% and negative predictive value 87.5%. There was a significant correlation between salivary IEX-1 expression and malignant epithelial ovarian tumors with an OR 5.031 (95% CI 2.039-12.4; p&lt;0,001)&#x0D; Conclusion: Salivary IEX-1 expression declines in tandem with the development of malignant epithelial ovarian tumors, providing a very sensitive and specific indicator of the presence of these malignant tumors.&#x0D; Keywords: Expression of IEX-1, Malignant epithelial ovarian tumor, Salivary IEX-1, Tumor Marker.

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

BackgroundThe 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.ResultsCA125, 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.ConclusionsThe 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.

Prognostic relevance of autophagy-related markers p62, LC3, and Beclin1 in ovarian cancer

To analyze the expression of autophagy markers p62, LC3, and Beclin1 in ovarian cancer tissue and evaluate the prognostic potential of these markers. The study enrolled 328 patients: 122 with epithelial ovarian carcinoma, 42 with atypical proliferative tumor, and 164 with benign epithelial ovarian tumor. The expression of p62, LC3, and Beclin1 was analyzed in central and invasive tumor segments with immunohistochemistry combined with tissue microarray. The expression levels of the analyzed markers were correlated with relevant histopathology parameters. The expression of all analyzed markers was most remarkable in epithelial ovarian carcinoma. There was a strong positive correlation between the expressions of p62 and LC3, while these two markers negatively correlated with Beclin1. High-grade serous carcinoma had higher p62 and LC3 levels, and lower Beclin1 levels than other tumor types. This expression profile was also observed in more advanced tumor stages. Prominent p62 and LC3 expression in combination with weak Beclin1 expression in high-grade serous carcinoma indicates potential for the application of autophagy inhibitors in patients with this tumor subtype.

T2-weighted MRI-based radiomics for discriminating between benign and borderline epithelial ovarian tumors: a multicenter study

BackgroundPreoperative differentiation between benign and borderline epithelial ovarian tumors (EOTs) is challenging and can significantly impact clinical decision making. The purpose was to investigate whether radiomics based on T2-weighted MRI can discriminate between benign and borderline EOTs preoperatively.MethodsA total of 417 patients (309, 78, and 30 samples in the training and internal and external validation sets) with pathologically proven benign and borderline EOTs were included in this multicenter study. In total, 1130 radiomics features were extracted from manually delineated tumor volumes of interest on images. The following three different models were constructed and evaluated: radiomics features only (radiomics model); clinical and radiological characteristics only (clinic-radiological model); and a combination of them all (combined model). The diagnostic performances of models were assessed using receiver operating characteristic (ROC) analysis, and area under the ROC curves (AUCs) were compared using the DeLong test.ResultsThe best machine learning algorithm to distinguish borderline from benign EOTs was the logistic regression. The combined model achieved the best performance in discriminating between benign and borderline EOTs, with an AUC of 0.86 ± 0.07. The radiomics model showed a moderate AUC of 0.82 ± 0.07, outperforming the clinic-radiological model (AUC of 0.79 ± 0.06). In the external validation set, the combined model performed significantly better than the clinic-radiological model (AUCs of 0.86 vs. 0.63, p = 0.021 [DeLong test]).ConclusionsRadiomics, based on T2-weighted MRI, can provide critical diagnostic information for discriminating between benign and borderline EOTs, thus having the potential to aid personalized treatment options.

Expression Level of Keratin 7 in Epithelial Ovarian Cancer and Malignant Metastasis of Benign Epithelial Ovarian Tumors.

It was to investigate the diagnostic value of keratin 7 (KRT7) in malignant metastasis of epithelial ovarian cancer and benign epithelial ovarian tumors. From January 2018 to January 2019, 30 fresh tissues of benign epithelial ovarian tumors, 30 fresh tissues of borderline tumors, 30 fresh tissues of metastatic ovarian were collected in The First Affiliated Hospital of Fujian Medical University, and 30 fresh tissues of normal ovarian tissues were collected as the control group. Federation of gynecology and obstetrics (FIGO) staging criteria: 25 cases of stage I, 26 cases of stage II, 16 cases of stage III, and 23 cases of stage IV. The relative expression of KRT7 was detected by real-time fluorescence quantitative PCR, and the relationship between KRT7 expression and epithelial ovarian cancer grading was analyzed. The results showed that the positive expression rate of KRT7 was 12.1% in normal ovarian tissues, 28.4% in benign epithelial ovarian tumors, 53.5% in borderline tumors, and 24.2% in metastatic ovarian cancer. With the increase of tumor stage malignancy, the relative expression of KRT7 decreased significantly, but there was no significant difference between stage I and stage II, stage III and stage IV (P > 0.05). The difference between stage I and stage III, and stage IV was significant (P < 0.05). Patients with epithelial ovarian cancer had a significant difference compared with the control group (P < 0.05). In summary, compared with the control group, the expression of KRT7 in patients with benign epithelial ovarian tumors and borderline tumors was significantly decreased. The expression level of KRT7 in benign epithelial ovarian tumors was lower than that in borderline tumors. The expression of KRT7 was related to the occurrence, development, and deterioration of ovarian cancer, which provided a basis for targeted therapy of tumors.

Quantitative analysis of the MRI features in the differentiation of benign, borderline, and malignant epithelial ovarian tumors

ObjectiveThis study aims to investigate the value of the quantitative indicators of MRI in the differential diagnoses of benign, borderline, and malignant epithelial ovarian tumors (EOTs).Materials and methodsThe study population comprised 477 women with 513 masses who underwent MRI and operation, including benign EOTs (BeEOTs), borderline EOTs (BEOTs), and malignant EOTs (MEOTs). The clinical information and MRI findings of the three groups were compared. Then, multivariate logistic regression analysis was performed to find the independent diagnostic factors. The receiver operating characteristic (ROC) curves were also used to evaluate the diagnostic performance of the quantitative indicators of MRI and clinical information in differentiating BeEOTs from BEOTs or differentiating BEOTs from MEOTs.ResultsThe MEOTs likely involved postmenopausal women and showed higher CA-125, HE4 levels, ROMA indices, peritoneal carcinomatosis and bilateral involvement than BeEOTs and BEOTs. Compared with BEOTs, BeEOTs and MEOTs appeared to be more frequently oligocystic (P < 0.001). BeEOTs were more likely to show mild enhancement (P < 0.001) and less ascites (P = 0.003) than BEOTs and MEOTs. In the quantitative indicators of MRI, BeEOTs usually showed thin-walled cysts and no solid component. BEOTs displayed irregular thickened wall and less solid portion. MEOTs were more frequently characterized as solid or predominantly solid mass (P < 0.001) than BeEOTs and BEOTs. The multivariate logistic regression analysis showed that volume of the solid portion (P = 0.006), maximum diameter of the solid portion (P = 0.038), enhancement degrees (P < 0.001), and peritoneal carcinomatosis (P = 0.011) were significant indicators for the differential diagnosis of the three groups. The area under the curves (AUCs) of above indicators and combination of four image features except peritoneal carcinomatosis for the differential diagnosis of BeEOTs and BEOTs, BEOTs and MEOTs ranged from 0.74 to 0.85, 0.58 to 0.79, respectively.ConclusionIn this study, the characteristics of MRI can provide objective quantitative indicators for the accurate imaging diagnosis of three categories of EOTs and are helpful for clinical decision-making. Among these MRI characteristics, the volume, diameter, and enhancement degrees of the solid portion showed good diagnostic performance.

Histomorphological Features of Ovarian Neoplasms and Expression of p53 and WT1 in Surface Epithelial Tumours: A Cross-sectional Study

Introduction: Ovary is the most common site of neoplastic and non neoplastic lesion, can present in childhood to postmenopausal age group and remain the most lethal of all gynaecological malignancies. Tumour Protein (p53) gene mutations or deletions are most common in ovarian carcinoma. However, Wilms' Tumor gene1 (WT1) and p16 expression are also seen in serous ovarian carcinoma. These Immunohistochemistry (IHC) marker are useful in the differential diagnosis of serous ovarian carcinomas. Aim: To study histomorphology of ovarian neoplasm along with expression of p53 and WT1 in surface epithelial tumours and to assess the prevalence of various ovarian neoplasms in different age groups. Materials and Methods: This cross-sectional study was conducted in Department of Pathology, Sarojini Naidu Medical College, Agra, Uttar Pradesh, India, over a period of two years (from September 2018-September 2020). A total of 78 ovarian specimen received in histology laboratory was studied for gross and microscopic features. The p53 and WT1 IHC expression pattern was studied in surface epithelial tumours. Statistical significance was calculated in relation to p53 and WT1 expression with histological type and grade of tumour using Chi-square test. Results: A total of 78 cases were studied, out of which benign tumours were the most common 40 (51.3%) cases, followed by malignant tumours 32 (41.0%) cases and borderline malignancy 6 (7.7%) cases. The most common benign lesions were mucinous cystadenoma 20 (50%) cases. Serous carcinomas were most common malignant tumours 19 (59.3%) cases followed by Germ Cell Tumours (GCT) 5 (15.6%) cases. All benign and borderline epithelial ovarian tumours were found p53 and WT1 negative. Out of 22 cases of malignant surface epithelial tumour, 14 (63.6%) and 12 (54.4%) were positive for p53 and WT1 respectively and all were serous carcinomas. Conclusion: Ovarian lesions present with wide spectrum of histomorphological features. The p53 and WT1 show different rates of expression and staining pattern in various epithelial ovarian carcinomas. Hence routine gross, proper histological examination and correct IHC interpretation is required for specific diagnosis.

Benign, malignant, and borderline surface ovarian epithelial tumors: A prospective analysis

Benign, malignant, and borderline surface ovarian epithelial tumors: A prospective analysis

PD-L1 Expression in Different Segments and Histological Types of Ovarian Cancer According to Lymphocytic Infiltrate.

Background and Objectives: Ovarian cancer is the leading cause of death among gynecological tumors. PD-1/PD-L1 immunoregulatory mechanism is activated in ovarian cancers. Lymphocyte infiltration is a significant factor that affects its expression. We analyzed the correlation between localization of lymphocytic infiltrate and PD-L1 expression in epithelial ovarian tumors. Materials and Methods: PD-L1 expression was analyzed in 328 subjects, 122 with epithelial ovarian carcinoma, 42 with atypical proliferative tumor, and 164 with benign epithelial ovarian tumor. Expression in central and invasive tumor parts in epithelial ovarian carcinoma was combined with the most pronounced lymphocyte reaction. Immunohistochemical analysis was performed using the tissue microarray and correlated with a set of histopathology parameters. Results: PD-L1 expression was most prominent in epithelial ovarian carcinoma with different levels of expression observed between invasive and central tumor segments. A high level of PD-L1 expression on tumor cells was more frequently present in the invasive than in the central tumor parts (p < 0.001) only in high-grade serous ovarian carcinoma (HGSC). There was no significant correlation between peritumoral lymphocytic infiltrate and PD-L1 expression regardless of tumor segment. In the central tumor parts of HGSC, there was a correlation of intratumoral lymphocytic infiltrate with a higher level of PD-L1 expression (p = 0.003). Conclusions: The most prominent PD-L1 expression was observed in the invasive tumor parts of HGSC. Only the central parts of the HGSC exhibited significant PD-L1 expression in association with considerable intratumoral lymphocytic infiltrate.

Accuracy and Reproducibility of Frozen Section Diagnosis in Ovarian Tumors

Intraoperative consultation-frozen section diagnosis (FSD)-determines tumor pathology and guides the optimal surgical management of ovarian neoplasms intraoperatively. To evaluate the diagnostic accuracy of the FSD and analyze the discrepancy between the FSD and final diagnosis. This is a retrospective study of 618 ovarian neoplasm FSDs from 2009 to 2018 at a tertiary health care center. The discrepant cases were reviewed and reevaluated by gynecologic and general surgical pathologists. The outcomes of interest were performing unnecessary procedure, returning for a second surgery, and 30-day postoperative mortality. The sensitivity and the positive predictive value of the FSD were lower in borderline tumors than in benign and malignant epithelial ovarian tumors. Major and minor discrepancies were identified in 5.3% (33 of 618) and 12.3% of (76 of 618) cases, respectively. A root cause analysis of the major discrepant cases showed that sampling error accounted for 43% (14 of 33). The discrepancy distributions of gynecologic and general surgical pathologists were statistically similar in the overall cohort (P = .65). The overall κ for diagnostic agreement among gynecologic pathologists, general surgical pathologists, and final diagnosis was 0.18 (0.10-0.26, P < .001), implying only a slight overall agreement. Of the major discrepant cases, only 3 had a clinical implication. One overdiagnosed patient underwent an unecessary procedure, and 2 underdiagnosed patients were recommended to return for a second surgery. No patient had 30-day postoperative mortality. Frozen section diagnosis remains a definitive diagnostic tool in ovarian neoplasms and plays a crucial role in guiding intraoperative surgical management.

Expression and therapeutic potential of macrophage migration inhibitory factor and CD74 in ovarian cancer

Purpose of Investigation: To evaluate macrophage migration inhibitory factor (MIF) and CD74 expression in ovarian cancer, and to explore whether these expression levels correlate with clinicopathologic parameters. Materials and Methods: A total of 151 tissue samples were collected from May 2009 through May 2015. The collected samples included ten normal ovaries, 41 benign epithelial ovarian tumors, 38 borderline tumors, and 62 malignant epithelial ovarian tumors. CD74 and MIF expression was assessed by immunohistochemistry and a retrospective study was conducted. Results: Immunohistochemical analysis showed that MIF and CD74 expression was significantly higher in ovarian tumors, including ovarian cancer, than in normal ovary tissues. Furthermore, high MIF expression was correlated with lymph node metastasis (p = 0.048) and ovary surface invasion (p = 0.039). Conclusion: The present findings suggest that co-expression of MIF and CD74 in ovarian cancer is associated with poor clinical parameters and may serve as a therapeutic target for the treatment of ovarian cancer

Prognostic implications of forkhead box protein O1 (FOXO1) and paired box 3 (PAX3) in epithelial ovarian cancer

BackgroundTranscription factors forkhead box protein O1 (FOXO1) and paired box 3 (PAX3) have been reported to play important roles in various cancers. However, their role in epithelial ovarian cancer (EOC) has not been elucidated yet. Therefore, we evaluated the expression and clinical significance of FOXO1 and PAX3 in EOC.MethodsImmunohistochemical analyses of FOXO1 and PAX3 in 212 EOCs, 57 borderline ovarian tumors, 153 benign epithelial ovarian tumors, and 79 nonadjacent normal epithelial tissues were performed using tissue microarray. Various clinicopathological variables, including the survival of EOC patients, were compared. In addition, the effect of FOXO1 on cell growth was assessed in EOC cell lines.ResultsFOXO1 and PAX3 protein expression levels were significantly higher in EOC tissues than in nonadjacent normal epithelial tissues, benign tissues, and borderline tumors (all p < 0.001). In EOC tissues, FOXO1 expression was positively correlated with PAX3 expression (Spearman’s rho = 0.118, p = 0.149). Multivariate survival analysis revealed that high FOXO1 expression (hazard ratio = 2.77 [95% CI, 1.48–5.18], p = 0.001) could be an independent prognostic factor for overall survival. Most importantly, high expression of both FOXO1 and PAX3 showed a high hazard ratio (4.60 [95% CI, 2.00–10.55], p < 0.001) for overall survival. Also in vitro results demonstrated that knockdown of FOXO1 was associated with decreased cell viability, migration, and colony formation.ConclusionsThis study revealed that high expression of FOXO1/PAX3 is an indicator of poor prognosis in EOC. Our results suggest the promising potential of FOXO1 and PAX3 as prognostic and therapeutic markers. The possible link between biological functions of FOXO1 and PAX3 in EOC warrants further studies.

Analysis of Tumor Vascularization By- Microvessel Density and Cd 34 by Immunohistochemistry- It’s Prognostic Significance in Differentiating Benign and Malignant Ovarian Surface Epithelial Tumors

Analysis of Tumor Vascularization By- Microvessel Density and Cd 34 by Immunohistochemistry- It’s Prognostic Significance in Differentiating Benign and Malignant Ovarian Surface Epithelial Tumors

Analysis of Tumor Vascularization with Smooth Muscle Actin by Immunohistochemistry—it’s Prognostic Significance in Differentiating Benign and Malignant Ovarian Surface Epithelial Tumors

Analysis of Tumor Vascularization with Smooth Muscle Actin by Immunohistochemistry—it’s Prognostic Significance in Differentiating Benign and Malignant Ovarian Surface Epithelial Tumors