Assessment of endometrial sampling as a predictor of final surgical pathology in endometrial cancer

The Role of Endometrial Sampling before Hysterectomy in Premenopausal Women with Abnormal Uterine Bleeding

Background/Objectives: An endometrial sampling is recommended for patients experiencing abnormal uterine bleeding above the age of 40 or 45. Valid risk prediction models are needed to accurately assess the risk of endometrial cancer and avoid an unnecessary endometrial biopsy in premenopausal women. We aimed to assess the necessity and usefulness of preoperative endometrial sampling by evaluating premenopausal women who underwent hysterectomy for abnormal uterine bleeding after preoperative endometrial sampling at our clinic. Methods: A retrospective analysis was conducted on 339 patients who underwent preoperative endometrial sampling and subsequently underwent hysterectomy due to abnormal uterine bleeding. Detailed gynecologic examinations, patient histories, and reports of endometrial sampling and hysterectomy were recorded. Cohen's Kappa (κ) statistic was utilized to evaluate the concordance between histopathological results from an endometrial biopsy and hysterectomy. Results: The mean age of the cohort was 47 ± 4 years. Endometrial biopsies predominantly revealed benign findings, with 137 (40.4%) cases showing proliferative endometrium and 2 (0.6%) cases showing endometrial cancer. Following hysterectomy, final pathology indicated proliferative endometrium in 208 (61.4%) cases, with 7 (2.1%) cases showing endometrioid cancer. There was a statistically significant but low level of concordance between histopathological reports of endometrial biopsy and hysterectomy results (Kappa = 0.108; p < 0.001). Significant differences were observed only in the body mass index of patients based on hysterectomy results (p = 0.004). When demographic characteristics were compared with cancer incidence, smoking status and preoperative endometrial biopsy findings showed statistically significant differences (p = 0.042 and p = 0.010, respectively). Conclusions: The concordance between the pathological findings of a preoperative endometrial biopsy and hysterectomy is low. Body mass index is an important differentiating factor between benign histopathologic findings of endometrium and endometrial neoplasia. Moreover, adenomyosis was found to be associated with endometrial cancer cases. The current approach to premenopausal women with abnormal uterine bleeding, which includes a routine endometrial biopsy, warrants re-evaluation by international societies and experts.

Accuracy of endometrial sampling in the diagnosis of endometrial cancer: a multicenter retrospective analysis of the JAGO-NOGGO

BACKGROUND

Accurate preoperative molecular and histological risk stratification is essential for effective treatment planning in endometrial cancer. However, inconsistencies between pre- and postoperative tumor histology have been reported in previous studies. To address this issue and identify risk factors related to inaccurate histologic diagnosis after preoperative endometrial evaluation, we conducted this retrospective analysis.

METHODS

We conducted a retrospective analysis involving 375 patients treated for primary endometrial cancer in five different gynaecological departments in Germany. Histological assessments of curettage and hysterectomy specimens were collected and evaluated.

RESULTS

Preoperative histologic subtype was confirmed in 89.5% of cases and preoperative tumor grading in 75.2% of cases. Higher rates of histologic subtype variations (36.84%) were observed for non-endometrioid carcinomas. Non-endometrioid (OR 4.41) histology and high-grade (OR 8.37) carcinomas were identified as predictors of diverging histologic subtypes, while intermediate (OR 5.04) and high grading (OR 3.94) predicted diverging tumor grading.

CONCLUSION

When planning therapy for endometrial cancer, the limited accuracy of endometrial sampling, especially in case of non-endometrioid histology or high tumor grading, should be carefully considered.

D&C has the best concordance between preoperative and postoperative grades among morbidly obese endometrial cancer patients

AIM

Endometrial cancer is diagnosed by obtaining uterine biopsies by pipelle, dilatation and curettage (D&C), or hysteroscopy. In 15%-25% of the cases, the preoperative and postoperative grades do not match. This discrepancy may carry significant clinical and prognostic consequences. We aimed to assess how body mass index (BMI) affects preoperative and postoperative grade mismatches and whether biopsy methods mitigate this effect.

METHODS

We conducted a retrospective review of patients with endometrial cancer who underwent surgery at our center between 2014 and 2022. We stratified patients into six classes of BMI based on the WHO classification. Preoperative and postoperative grades were compared for concordance with regards to patient BMI and sampling method.

RESULTS

A total of 158 patients were included, diagnosed by pipelle (n = 99), hysteroscopy (n = 15), or D&C (n = 44). For all methods, every unit increase in BMI increased the odds of having a gap between histology grades by 5.2%. In the pipelle group, the odds of a larger gap between the histology grades was 62% higher than that of women in the other groups. Among the D&C group, the odds of having a bigger difference between histology grades were 91.8% lower compared to the other groups. Patients with BMI over 30 had nearly 50% discrepancy when diagnosed with pipelle or hysteroscopy, but less than 10% with D&C.

CONCLUSIONS

Increasing BMI is associated with decreasing concordance between preoperative and postoperative grades in endometrial cancer, especially when it exceeds 30. This effect is much less pronounced, however, when the diagnostic method is D&C.

Assessment of endometrial carcinoma on biopsy as a predictor of final surgical pathology: Are we doing it right? A completed audit cycle and recommendations

Background

Typing and grading of endometrial carcinomas (ECs) on small biopsy specimens is crucial to determine the need for full surgical staging. Histological subtype and grade are key factors available for risk stratification before surgery. However, this can be diagnostically challenging on small biopsy specimens, especially when morphologic features are subtle or overlapping.

Aims

The aims of this audit were to assess concordance of endometrial carcinomas on biopsy specimens with hysterectomy specimens and to determine if the immunohistochemistry (IHC) panel being used in our practice was adequately subtyping ECs.

Settings and Design

The audit was approved by the Clinical Effectiveness Team of the Royal College of Pathologists (UK) as meeting all the criteria and standards set out by the College.

Materials and Methods

Biopsies from 67 cases of EC were compared for histological subtype and grade of endometrioid carcinoma with resection specimens. A re-audit was carried out on 59 cases after implementation of changes recommended by the initial audit.

Results

Two of 35 (6%) tumours defined as G1 on biopsy were upgraded (to G2) on final pathology, as was one of 7 (14%) G2 tumours (to G3). One of these cases had solid areas just amounting to more than 6% on resection. In the second case, a comment was made that assessment had been difficult as the specimen was suboptimally fixed, but nuclei appeared atypical. Of seven G2 biopsies, one case was upgraded to grade 3 on final pathology based on proportion of solid areas. Our data show lower rates of discordance as compared to previous studies and on re-audit, the concordance between endometrioid and nonendometrioid serous carcinoma improved with the addition of immunohistochemistry (IHC) for Phosphatase and tensin homolog (PTEN) to biopsies.

Conclusions

PTEN IHC can complement other stains and aid in the distinction of grade 3 endometrioid carcinoma from serous carcinoma on endometrial biopsies.

A computer-aided determining method for the myometrial infiltration depth of early endometrial cancer on MRI images

To classify early endometrial cancer (EC) on sagittal T2-weighted images (T2WI) by determining the depth of myometrial infiltration (MI) using a computer-aided diagnosis (CAD) method based on a multi-stage deep learning (DL) model. This study retrospectively investigated 154 patients with pathologically proven early EC at the institution between January 1, 2018, and December 31, 2020. Of these patients, 75 were in the International Federation of Gynecology and Obstetrics (FIGO) stage IA and 79 were in FIGO stage IB. An SSD-based detection model and an Attention U-net-based segmentation model were trained to select, crop, and segment magnetic resonance imaging (MRl) images. Then, an ellipse fitting algorithm was used to generate a uterine cavity line (UCL) to obtain MI depth for classification. In the independent test datasets, the uterus and tumor detection model achieves an average precision rate of 98.70% and 87.93%, respectively. Selecting the optimal MRI slices method yields an accuracy of 97.83%. The uterus and tumor segmentation model with mean IOU of 0.738 and 0.655, mean PA of 0.867 and 0.749, and mean DSC of 0.845 and 0.779, respectively. Finally, the CAD method based on the calculated MI depth reaches an accuracy of 86.9%, a sensitivity of 81.8%, and a specificity of 91.7% for early EC classification. In this study, the CAD method implements an end-to-end early EC classification and is found to be on par with radiologists in terms of performance. It is more intuitive and interpretable than previous DL-based CAD methods.

An EMT-related genes signature as a prognostic biomarker for patients with endometrial cancer

BACKGROUND

The epithelial-mesenchymal transition (EMT) plays an indispensable role in the development and progression of Endometrial cancer (EC). Nevertheless, little evidence is reported to uncover the functionality and application of EMT-related molecules in the prognosis of EC. This study aims to develop novel molecular markers for prognosis prediction in patients with EC.

METHODS

RNA sequencing profiles of EC patients obtained from The Cancer Genome Atlas (TCGA) database were used to screen differential expression genes (DEGs) between tumors and normal tissues. The Cox regression model with the LASSO method was utilized to identify survival-related DEGs and to establish a prognostic signature whose performance was evaluated by Kaplan-Meier curve, receiver operating characteristic (ROC) and calibration curve. Eventually, functional enrichment analysis and cellular experiments were performed to reveal the roles of prognosis-related genes in EC progression.

RESULTS

A total of 540 EMT-related DEGs in EC were screened, and subsequently a four-gene risk signature comprising SIRT2, SIX1, CDKN2A and PGR was established to predict overall survival of EC. This risk signature could serve as a meaningfully independent indicator for EC prognosis via multivariate Cox regression (HR = 2.002, 95%CI = 1.433-2.798; P < 0.001). The nomogram integrating the risk signature and clinical characteristics exhibited robust validity and performance at predicting EC overall survival indicated by ROC and calibration curve. Functional enrichment analysis revealed that the EMT-related genes risk signature was associated with extracellular matrix organization, mesenchymal development and cellular component morphogenesis, suggesting its possible relevance to epithelial-mesenchymal transition and cancer progression. Functionally, we demonstrated that the silencing of SIX1, SIRT2 and CDKN2A expression could accelerate the migratory and invasive capacities of tumor cells, whereas the downregulation of PGR dramatically inhibited cancer cells migration and invasion.

CONCLUSIONS

Altogether, a novel four-EMT-related genes signature was a potential biomarker for EC prognosis. These findings might help to ameliorate the individualized prognostication and therapeutic treatment of EC patients.

Decreased Gene Expression of Antiangiogenic Factors in Endometrial Cancer: qPCR Analysis and Machine Learning Modelling

Endometrial cancer (EC) is an increasing health concern, with its growth driven by an angiogenic switch that occurs early in cancer development. Our study used publicly available datasets to examine the expression of angiogenesis-related genes and proteins in EC tissues, and compared them with adjacent control tissues. We identified nine genes with significant differential expression and selected six additional antiangiogenic genes from prior research for validation on EC tissue in a cohort of 36 EC patients. Using machine learning, we built a prognostic model for EC, combining our data with The Cancer Genome Atlas (TCGA). Our results revealed a significant up-regulation of IL8 and LEP and down-regulation of eleven other genes in EC tissues. These genes showed differential expression in the early stages and lower grades of EC, and in patients without deep myometrial or lymphovascular invasion. Gene co-expressions were stronger in EC tissues, particularly those with lymphovascular invasion. We also found more extensive angiogenesis-related gene involvement in postmenopausal women. In conclusion, our findings suggest that angiogenesis in EC is predominantly driven by decreased antiangiogenic factor expression, particularly in EC with less favourable prognostic features. Our machine learning model effectively stratified EC based on gene expression, distinguishing between low and high-grade cases.

Fertility-sparing hormonal treatment in patients with stage I endometrial cancer of grade 2 without myometrial invasion and grade 1-2 with superficial myometrial invasion: Gynecologic Oncology Research Investigators coLLaborAtion study (GORILLA-2001)

OBJECTIVES

To evaluate oncologic and pregnancy outcomes of fertility-sparing treatment (FST) using progestin in patients with stage I grade 2 endometrioid endometrial cancer (EC) without myometrial invasion (MI) or grade 1-2 with superficial MI.

METHODS

Multicenter data of patients with stage I grade 2 EC without MI or grade 1-2 EC with superficial MI, who received FST between 2005 and 2021, were analyzed. Cox regression analysis identified independent factors for progressive disease (PD) during the FST.

RESULTS

Altogether, 54 patients received FST [medroxyprogesterone acetate (500-1000 mg) in 44, megestrol acetate (40-800 mg) in 10] with concurrent levonorgestrel-releasing intrauterine devices use in 31. With median time to achieve a complete response (CR) of 10 (3-24) months, 39 patients (72.2%) achieved CR. Of the 15 patients who attempted to conceive after achieving CR, 7 (46.7%) became pregnant (2 abortions, 5 live births). During a median FST duration of 6 (3-12) months, nine patients (16.6%) were diagnosed with PD. Fifteen (38.5%) experienced recurrence with a median recurrence-free survival of 23 (3-101) months. In the multivariable analysis, tumor size before FST ≥2 cm (HR 5.456, 95% CI 1.34 to 22.14; p = 0.018) was significantly associated with a high PD rate during FST.

CONCLUSION

The overall response rate to FST was promising, however, the PD rate was significant during the first 12 months of FST. Therefore, performing thorough endometrial biopsy and imaging studies is essential to strictly evaluate the extent of the disease every 3 months from FST initiation.

Screening of Endometrial Cancer Related to Lynch Syndrome in China by Suction Curettage-Based Cytology and Histology: A Retrospective Study

Objective

To explore the feasibility of sampling Chinese patients by suction curettage for cytological and histological screening of endometrial cancer related to Lynch syndrome.

Methods

This retrospective study enrolled patients who underwent endometrial biopsy at our hospital between May 2018 and January 2019. Endometrial sampling (cytological and micro-histological specimens) was conducted by suction curettage. The gold standard for diagnosis was traditional sharp dilation and curettage (D&C). The sensitivity, specificity, and diagnostic accuracy of cytology, micro-histology, and the combination of cytology and micro-histology were calculated. Additionally, receiver operating characteristic (ROC) analysis was used to evaluate the diagnostic efficiency of three screening methods. Mismatch repair proteins were further detected using immunohistochemistry (IHC) in endometrial cancer.

Results

This retrospective finally enrolled 100 patients, which satisfactory samples were obtained from 96 patients for liquid-based cytology and 93 patients for microtissue histology. The concordance rates with D&C, sensitivity, and specificity were 94.8%, 76.9%, and 97.5% for liquid-based cytology, 96.8%, 84.6%, and 98.8% for microtissue histology, and 99.0%, 92.3%, and 100.0% for liquid-based cytology and microtissue histology combined, respectively. The AUC of ROC curves in liquid-based cytology, microtissue histology, and the combined methods for diagnostic ability were 0.873, 0.917, and 0.962, respectively. Absence rates of MLHl, MSH2, MSH6, and PMS2 proteins were 15.3% (2/13), 0% (0/13), 7.7% (1/13), and 15.3% (2/13) in the 13 endometrial cancer samples.

Conclusion

Liquid-based cytology and microtissue histology samples from suction curettage combined IHC are useful for endometrial cancer screening.

Role of Machine Learning (ML)-Based Classification Using Conventional 18F-FDG PET Parameters in Predicting Postsurgical Features of Endometrial Cancer Aggressiveness

PURPOSE

to investigate the preoperative role of ML-based classification using conventional ¹⁸F-FDG PET parameters and clinical data in predicting features of EC aggressiveness.

METHODS

retrospective study, including 123 EC patients who underwent ¹⁸F-FDG PET (2009-2021) for preoperative staging. Maximum standardized uptake value (SUVmax), SUVmean, metabolic tumour volume (MTV), and total lesion glycolysis (TLG) were computed on the primary tumour. Age and BMI were collected. Histotype, myometrial invasion (MI), risk group, lymph-nodal involvement (LN), and p53 expression were retrieved from histology. The population was split into a train and a validation set (80-20%). The train set was used to select relevant parameters (Mann-Whitney U test; ROC analysis) and implement ML models, while the validation set was used to test prediction abilities.

RESULTS

on the validation set, the best accuracies obtained with individual parameters and ML were: 61% (TLG) and 87% (ML) for MI; 71% (SUVmax) and 79% (ML) for risk groups; 72% (TLG) and 83% (ML) for LN; 45% (SUVmax; SUVmean) and 73% (ML) for p53 expression.

CONCLUSIONS

ML-based classification using conventional ¹⁸F-FDG PET parameters and clinical data demonstrated ability to characterize the investigated features of EC aggressiveness, providing a non-invasive way to support preoperative stratification of EC patients.

Preoperative sampling in endometrial cancer: evaluation of the histopathological agreement with definitive surgical specimen

PURPOSE

The main goal of this study is to assess the diagnostic agreement between preoperative biopsy and definitive histology of the surgical specimen to determine which sampling method is most suitable for diagnosis of early-stage endometrial cancer.

METHODS

We performed a retrospective multicentric study to assess the correlation between three endometrial sampling methods (hysteroscopy, pipelle and D&C) in patients who had undergone preoperative endometrial biopsy and received primary surgical treatment for endometrial cancer. The primary objective was the agreement rate between hysteroscopy (HSC), endometrial biopsy (pipelle) and dilatation and curettage (D&C).

RESULTS

A total of 1833 women who underwent preoperative sampling at 15 centers were included: 1042 biopsies were performed by HSC, 703 by pipelle and 88 by D&C. All three methods presented a moderate diagnostic concordance (κ = 0.40-0.61) with the definitive specimen's histology: HSC (κ = 0.47), pipelle sampling (κ = 0.48) and D&C (κ = 0.48). Likewise, a subgroup analysis was performed by histological subtype comparing HSC and endometrial biopsy, showing that neither is superior as a diagnostic method.

CONCLUSIONS

According to this study, the use of pipelle sampling could become an adequate diagnostic method in endometrial cancer due to its similar agreement to HSC, ease of use and affordability.

Development and Validation of Multiparametric MRI-based Radiomics Models for Preoperative Risk Stratification of Endometrial Cancer

Background Stratifying high-risk histopathologic features in endometrial carcinoma is important for treatment planning. Radiomics analysis at preoperative MRI holds potential to identify high-risk phenotypes. Purpose To evaluate the performance of multiparametric MRI three-dimensional radiomics-based machine learning models for differentiating low- from high-risk histopathologic markers-deep myometrial invasion (MI), lymphovascular space invasion (LVSI), and high-grade status-and advanced-stage endometrial carcinoma. Materials and Methods This dual-center retrospective study included women with histologically proven endometrial carcinoma who underwent 1.5-T MRI before hysterectomy between January 2011 and July 2015. Exclusion criteria were tumor diameter less than 1 cm, missing MRI sequences or histopathology reports, neoadjuvant therapy, and malignant neoplasms other than endometrial carcinoma. Three-dimensional radiomics features were extracted after tumor segmentation at MRI (T2-weighted, diffusion-weighted, and dynamic contrast-enhanced MRI). Predictive features were selected in the training set with use of random forest (RF) models for each end point, and trained RF models were applied to the external test set. Five board-certified radiologists conducted MRI-based staging and deep MI assessment in the training set. Areas under the receiver operating characteristic curve (AUCs) were reported with balanced accuracies, and radiologists' readings were compared with radiomics with use of McNemar tests. Results In total, 157 women were included: 94 at the first institution (training set; mean age, 66 years ± 11 [SD]) and 63 at the second institution (test set; 67 years ± 12). RF models dichotomizing deep MI, LVSI, high grade, and International Federation of Gynecology and Obstetrics (FIGO) stage led to AUCs of 0.81 (95% CI: 0.68, 0.88), 0.80 (95% CI: 0.67, 0.93), 0.74 (95% CI: 0.61, 0.86), and 0.84 (95% CI: 0.72, 0.92), respectively, in the test set. In the training set, radiomics provided increased performance compared with radiologists' readings for identifying deep MI (balanced accuracy, 86% vs 79%; P = .03), while no evidence of a difference was observed in performance for advanced FIGO stage (80% vs 78%; P = .27). Conclusion Three-dimensional radiomics can stratify patients by using preoperative MRI according to high-risk histopathologic end points in endometrial carcinoma and provide nonsignificantly different or higher performance than radiologists in identifying advanced stage and deep myometrial invasion, respectively. © RSNA, 2022 Online supplemental material is available for this article. See also the editorial by Kido and Nishio in this issue.

A comparison of malignant histopathological diagnoses on uterine curettings and hysterectomy specimens

Background. Endometrial carcinoma (EC) is a common gynaecological malignancy in postmenopausal females. Diagnosis is made onendometrial biopsy, where histological subtype and tumour grade are used to predict disease progression and to plan surgical management.Objectives. To determine the accuracy of preoperative biopsies compared with the final diagnosis on hysterectomy specimens.Methods. This was a retrospective, cross-sectional study in which 126 biopsies and corresponding hysterectomy specimens, collected over a 3-year period, were reviewed. Patient demographics and histological features were recorded and statistically analysed.Results. The most prevalent tumours were endometrioid endometrial carcinoma (EEC) (48.5%), serous carcinomas (25.4%) and carcinosarcomas (16.7%). The majority (66.7%) of tumours were high-grade tumours on biopsy and hysterectomy specimens (58.7%). EECs had a poor sensitivity level (65.1%) compared with other subtypes but had a high specificity rate (90%). There was moderateagreement between biopsy and excision specimen diagnoses. High-grade tumours had a high sensitivity level (94.3%).Conclusions. Our study showed moderate agreement between histopathological diagnoses on biopsy and excision specimens. There was a high sensitivity level for biopsies of high-grade tumours, concordant with other studies. Accurate preoperative tumour subtyping and grading are needed to guide surgical management. It is envisaged that use of a combined histological and molecular tumour classificationwill better guide patient treatment and allow for reproducible results.

Preoperative pelvic MRI and 2-[18F]FDG PET/CT for lymph node staging and prognostication in endometrial cancer-time to revisit current imaging guidelines?

OBJECTIVE

This study presents the diagnostic performance of four different preoperative imaging workups (IWs) for prediction of lymph node metastases (LNMs) in endometrial cancer (EC): pelvic MRI alone (IW1), MRI and [¹⁸F]FDG-PET/CT in all patients (IW2), MRI with selective [¹⁸F]FDG-PET/CT if high-risk preoperative histology (IW3), and MRI with selective [¹⁸F]FDG-PET/CT if MRI indicates FIGO stage ≥ 1B (IW4).

METHODS

In 361 EC patients, preoperative staging parameters from both pelvic MRI and [¹⁸F]FDG-PET/CT were recorded. Area under receiver operating characteristic curves (ROC AUC) compared the diagnostic performance for the different imaging parameters and workups for predicting surgicopathological FIGO stage. Survival data were assessed using Kaplan-Meier estimator with log-rank test.

RESULTS

MRI and [¹⁸F]FDG-PET/CT staging parameters yielded similar AUCs for predicting corresponding FIGO staging parameters in low-risk versus high-risk histology groups (p ≥ 0.16). The sensitivities, specificities, and AUCs for LNM prediction were as follows: IW1-33% [9/27], 95% [185/193], and 0.64; IW2-56% [15/27], 90% [174/193], and 0.73 (p = 0.04 vs. IW1); IW3-44% [12/27], 94% [181/193], and 0.69 (p = 0.13 vs. IW1); and IW4-52% [14/27], 91% [176/193], and 0.72 (p = 0.06 vs. IW1). IW3 and IW4 selected 34% [121/361] and 54% [194/361] to [¹⁸F]FDG-PET/CT, respectively. Employing IW4 identified three distinct patient risk groups that exhibited increasing FIGO stage (p < 0.001) and stepwise reductions in survival (p ≤ 0.002).

CONCLUSION

Selective [¹⁸F]FDG-PET/CT in patients with high-risk MRI findings yields better detection of LNM than MRI alone, and similar diagnostic performance to that of MRI and [¹⁸F]FDG-PET/CT in all.

KEY POINTS

• Imaging by MRI and [¹⁸F]FDG PET/CT yields similar diagnostic performance in low- and high-risk histology groups for predicting central FIGO staging parameters. • Utilizing a stepwise imaging workup with MRI in all patients and [¹⁸F]FDG-PET/CT in selected patients based on MRI findings identifies preoperative risk groups exhibiting significantly different survival. • The proposed imaging workup selecting ~54% of the patients to [¹⁸F]FDG-PET/CT yield better detection of LNMs than MRI alone, and similar LNM detection to that of MRI and [¹⁸F]FDG-PET/CT in all.

Histopathological pattern of endometrial biopsies in patients with abnormal uterine bleeding in a tertiary referral hospital in Jordan

BACKGROUND

Abnormal uterine bleeding (AUB) is a symptom that deviates from the normal menstrual cycle. AUB is characterized by changes in the frequency, volume, and duration of the menstrual flow. The etiology of AUB, which varies with age, may be attributed to both structural and non-structural causes.

OBJECTIVES

Determine the histopathological pattern of endometrial biopsies in patients with AUB across different age and parity groups who have undergone dilation and curettage (D&C), along with the discrepancy between D&C and histopathological findings after hysterectomy.

DESIGN

Retrospective chart review SETTING: Tertiary referral hospital PATIENTS AND METHODS: We collected data on all patients diagnosed with AUB between January 2015 and December 2020. Histopathological findings of all D&C endometrial biopsy samples were examined after being categorized by age and parity groups. Sensitivity, specificity, positive predictive value, and NPV were calculated to evaluate the diagnostic accuracy of D&C.

MAIN OUTCOME MEASURES

Histopathological pattern of D&C endometrial biopsies by age and parity groups.

SAMPLE SIZE

3233 patients.

RESULTS

Most patients were in the 18-39 year age group, with normal cyclical findings being the most common histopathological finding. Malignant lesions were observed in 42 patients with a majority being older than 50 years. In 13.3% (42/316) of patients, D&C failed to detect intrauterine disorder that was found on hysterectomy. The overall accuracy of D&C in determining the existence of normal versus pathological findings was 75.60%, the sensitivity was 72.90%, the specificity was 77.90%, the positive predictive value was 73.86% and the NPV was 77.05% in our patients.

CONCLUSION

Normal cyclic changes account for the highest proportion of histopathological findings. However, hyperplasia and malignancies are important causes of perimenopausal and postmenopausal bleeding. While the use of D&C as a sampling tool for AUB cases remains questionable, the use of D&C in diagnosing premalignant and malignant cases is highly effective.

LIMITATIONS

Single-center, retrospective design, incomplete medical records, and inter-rater reliability could not be determined.

CONFLICT OF INTEREST

None.

An MRI radiomics nomogram improves the accuracy in identifying eligible candidates for fertility-preserving treatment in endometrioid adenocarcinoma

It is difficult to identify eligible candidates for fertility-preserving treatment (FPT) among endometrioid adenocarcinoma (EAC) and atypical hyperplasia (AH) patients. Therefore, new approaches for improving the accuracy of candidate selection are warranted. From December 2014 to January 2020, 236 EAC/AH patients (age <50 and premenopausal) were retrospectively reviewed and randomly divided into the primary group (n=158) and validation group 1 (n=78). From February 2020 to December 2021, 51 EAC/AH patients were prospectively enrolled and formed the validation group 2. From the primary group, 385 features were extracted using pyradiomics from multiparameter magnetic resonance imaging (MRI) (including T2-weighted imaging, diffusion-weighted imaging, apparent diffusion coefficient, and contrast enhancement sequences) and 13 radiomics features were selected using a least absolute shrinkage and selection operator. A clinical model based on clinical information (myometrial invasion on MRI and tumor grade in curettage) and a radiomics nomogram by integrating clinical information with the radiomics features was developed to identify eligible candidates of FPT. For identifying eligible candidates of FPT, the areas under the receiver operating characteristic curve (AUCs) were 0.63 (95% confidence interval [CI]: 0.53-0.73) in the primary group, and 0.62 (95% CI: 0.45-0.78) and 0.69 (95% CI: 0.53-0.86) in validation groups 1 and 2, respectively, for the clinical model; were 0.86 (95% CI: 0.80-0.93) in the primary group, and 0.82 (95% CI: 0.71-0.93) and 0.94 (95% CI: 0.87-1.0) in validation groups 1 and 2, respectively, for the radiomics nomogram. With the help of radiomics nomogram, the treatment decision determined from the clinical model was revised in 45 EAC/AH patients. The net reclassification index (NRI) was 0.80 and integrated discrimination improvement (IDI) was 0.17, indicating that the nomogram could improve the accuracy in identifying eligible EAC/AH candidates for FPT.

Diffusion Weighted Imaging in the Assessment of Tumor Grade in Endometrial Cancer Based on Intravoxel Incoherent Motion MRI

The aim of this study is to investigate the possibility of predicting histological grade in patients with endometrial cancer on the basis of intravoxel incoherent motion (IVIM)-related histogram analysis parameters. This prospective study included 52 women with endometrial cancer (EC) who underwent MR imaging as initial staging in our hospital, allocated into low-grade (G1 and G2) and high-grade (G3) tumors according to the pathology reports. Regions of interest (ROIs) were drawn on the diffusion weighted images and apparent diffusion coefficient (ADC), true diffusivity (D), and perfusion fraction (f) using diffusion models were computed. Mean, median, skewness, kurtosis, and interquartile range (IQR) were calculated from the whole-tumor histogram. The IQR of the diffusion coefficient (D) was significantly lower in the low-grade tumors from that of the high-grade group with an adjusted p-value of less than 5% (0.048). The ROC curve analysis results of the statistically significant IQR of the D yielded an accuracy, sensitivity, and specificity of 74.5%, 70.1%, and 76.5% respectively, for discriminating low from high-grade tumors, with an optimal cutoff of 0.206 (×10⁻³ mm²/s) and an AUC of 75.4% (95% CI: 62.1 to 88.8). The IVIM modeling coupled with histogram analysis techniques is promising for preoperative differentiation between low- and high-grade EC tumors.

Hybrid PET/MRI in Staging Endometrial Cancer: Diagnostic and Predictive Value in a Prospective Cohort

AIM

The assessment of deep myometrial invasion (MI) and lymph node involvement is of utmost importance in the preoperative staging of endometrial cancer (EC). Imaging parameters derived respectively from MRI and PET have shown good predictive value. The main aim of the present study is to assess the diagnostic performance of hybrid 18F-FDG PET/MRI in EC staging, with particular focus on MI and lymphnodal involvement detection.

PATIENTS AND METHODS

Prospective monocentric study including 35 patients with biopsy-proven EC undergoing preoperative 18F-FDG PET/MRI (December 2018-March 2021) for staging purpose. Histological examination was the reference standard. PET (SUVmax, SUVmean with a threshold of 40% of SUVmax-SUVmean40, metabolic tumor volume, total lesion glycolysis) and MRI (volume index [VI], total tumor volume, tumor volume ratio [TVR], mean apparent diffusion coefficient, minimum apparent diffusion coefficient) parameters were calculated on the primary tumor, and their role in predicting EC risk group, the presence of lymphovascular space invasion (LVSI), and MI was assessed. Receiver operating characteristics analysis was used to assess the predictive value of PET and MRI parameters on EC characteristics.

RESULTS

Patients' median age was 66.57 years (SD, 10.21 years). 18F-FDG PET/MRI identified the primary tumor in all patients. Twenty-two of 35 patients had high-risk EC and 13/35 low-risk disease; 13/35 presented LVSI, 22/35 had deep MI at histological examination, and 13/35 had p53 hyperexpression.PET/MRI was able to detect lymphnodal involvement with high accuracy and high specificity (sensitivity of 0.8571, specificity of 0.9286, accuracy of 0.9143), also showing a high negative predictive value (NPV) for lymphnodal involvement (NPV of 0.9630, positive predictive value [PPV] of 0.7500).The assessment of deep MI using PET/MRI correctly staged 27 patients (77.1%; sensitivity of 0.7273, specificity of 0.8462, accuracy of 0.7714), with also a good PPV (PPV of 0.8889, NPV of 0.647).MRI-derived total tumor volume, VI, and TVR were significant in predicting EC groups (high-risk vs low-risk patients) (P = 0.0059, 0.0235, 0.0181, respectively). MRI-derived volume, VI, TVR, and PET-derived metabolic tumor volume and total lesion glycolysis were able to predict LVSI (P = 0.0023, 0.0068, 0.0068, 0.0027, 0.01394, respectively). Imaging was not able to predict grading, presence of deep MI, nor hyperexpression of p53.

CONCLUSIONS

18F-FDG PET/MRI has good accuracy in preoperative staging of EC; PET and MRI parameters have synergic role in preoperatively predicting LVSI, with MRI parameters being also predictive for EC risk group.

miRNAs in the Expression Regulation of Dopamine-Related Genes and Proteins in Endometrial Cancer

Disruption of the dopaminergic system leads to many diseases, including cancer. Dopamine and its receptors are involved in the regulation of proliferation, cell death, invasion, and migration. Better understanding of the mechanisms involved in these processes could reveal new molecular markers and therapeutic targets. The aim of this study was to determine the expression profile of dopamine-related genes and proteins in endometrial cancer and to assess whether miRNAs are involved in its regulation. Sixty women were recruited for the study: 30 with endometrial cancer and 30 without cancer. The expression profiles of dopamine-related genes were determined in endometrial tissue samples using microarrays and qRT-PCR. Then, protein concentration was determined with the ELISA test. In the last step, miRNA detection was performed using microarrays. The matching of miRNAs to the studied genes was carried out using the TargetScan tool. The analysis showed DRD2 and DRD3 overexpression, with a reduction in DRD5 expression, which could be due to miR-15a-5p, miR-141-3p, miR-4640-5p, and miR-221-5p activity. High levels of OPRK1 and CXCL12, related to the activity of miR-124-3p.1 and miR-135b-5p, have also been reported. Low COMT expression was probably not associated with miRNA regulation in endometrial cancer.

Radiomic machine learning for pretreatment assessment of prognostic risk factors for endometrial cancer and its effects on radiologists' decisions of deep myometrial invasion

PURPOSE

To evaluate radiomic machine learning (ML) classifiers based on multiparametric magnetic resonance images (MRI) in pretreatment assessment of endometrial cancer (EC) risk factors and to examine effects on radiologists' interpretation of deep myometrial invasion (dMI).

METHODS

This retrospective study examined 200 consecutive patients with EC during January 2004 -March 2017, divided randomly to Discovery (n = 150) and Test (n = 50) datasets. Radiomic features of tumors were extracted from T2-weighted images, apparent diffusion coefficient map, and contrast enhanced T1-weighed images. Using the Discovery dataset, feature selection and hyperparameter tuning for XGBoost were performed. Ten classifiers were built to predict dMI, histological grade, lymphovascular invasion (LVI), and pelvic/paraaortic lymph node metastasis (PLNM/PALNM), respectively. Using the Test dataset, the diagnostic performances of ten classifiers were assessed by the area under the receiver operator characteristic curve (AUC). Next, four radiologists assessed dMI independently using MRI with a Likert scale before and after referring to inference of the ML classifier for the Test dataset. Then, AUCs obtained before and after reference were compared.

RESULTS

In the Test dataset, mean AUC of ML classifiers for dMI, histological grade, LVI, PLNM, and PALNM were 0.83, 0.77, 0.81, 0.72, and 0.82. AUCs of all radiologists for dMI (0.83-0.88) were better than or equal to mean AUC of the ML classifier, which showed no statistically significant difference before and after the reference.

CONCLUSION

Radiomic classifiers showed promise for pretreatment assessment of EC risk factors. Radiologists' inferences outperformed the ML classifier for dMI and showed no improvement by review.

Nomograms of Combining Apparent Diffusion Coefficient Value and Radiomics for Preoperative Risk Evaluation in Endometrial Carcinoma

Objectives

To evaluate the value of nomogram models combining apparent diffusion coefficient (ADC) value and radiomic features on magnetic resonance imaging (MRI) in predicting the type, grade, deep myometrial invasion (DMI), lymphovascular space invasion (LVSI), and lymph node metastasis (LNM) of endometrial carcinoma (EC) preoperatively.

Methods

This study included 210 EC patients. ADC value was calculated, and radiomic features were measured on T2-weighted images. The univariate and multivariate logistic regressions and cross-validations were performed to reduce valueless features, then radiomics signatures were developed. Nomogram models using ADC combined with radiomic features were developed in the training cohort. The receiver operating characteristic (ROC) curve was performed to estimate the diagnostic efficiency of nomogram models by the area under the curve (AUC) in the training and validation cohorts.

Results

The ADC value was significantly different between each subgroup. Radiomic features were ultimately limited to four features for type, six features for grade, six features for DMI, four features for LVSI, and eight features for LNM for the nomogram models. The AUC of the nomogram model combining ADC value and radiomic features in the training and validation cohorts was 0.851 and 0.867 for type, 0.959 and 0.880 for grade, 0.839 and 0.766 for DMI, 0.816 and 0.746 for LVSI, and 0.910 and 0.897 for LNM.

Conclusions

The nomogram models of ADC value combined with radiomic features were associated with the type, grade, DMI, LVSI, and LNM of EC, and provide an effective, non-invasive method to evaluate preoperative risk stratification for EC.

Expression Pattern of Leptin and Its Receptors in Endometrioid Endometrial Cancer

The identification of novel molecular markers and the development of cancer treatment strategies are very important as cancer incidence is still very high. Obesity can contribute to cancer progression, including endometrial cancer. Adipocytes secrete leptin, which, when at a high level, is associated with an increased risk of cancer. The aim of this study was to determine the expression profile of leptin-related genes in the endometrial tissue samples and whole blood of patients. The study material included tissue samples and whole blood collected from 30 patients with endometrial cancer and 30 without cancer. Microarrays were used to assess the expression profile of leptin-related genes. Then, the expression of leptin (LEP), leptin receptor (LEPR), leptin receptor overlapping transcript (LEPROT), and leptin receptor overlapping transcript-like 1 (LEPROTL1) was determined by the Real-Time Quantitative Reverse Transcription Reaction (RT-qPCR). The serum leptin concentration was evaluated using Enzyme-linked immunosorbent assay (ELISA). Leptin and its receptors were overexpressed both at the mRNA and protein levels. Furthermore, there were strong positive correlations between leptin levels and patient Body Mass Index (BMI). Elevated levels of leptin and its receptors may potentially contribute to the progression of endometrial cancer. These observations may be useful in designing endometrial cancer treatment strategies.

The role of volumetric ADC histogram analysis in preoperatively evaluating the tumour subtype and grade of endometrial cancer

PURPOSE

To assess the value of volumetric ADC histogram metrics in evaluating the histological subtype and grade of endometrial cancer.

METHOD

Preoperative MRI datasets of 317 patients with endometrial cancer were used to obtain volumetric ADC histogram metrics (tumour volume; minADC, maxADC and meanADC; 10th, 25th, 50th, 75th and 90th percentiles of ADC; skewness; and kurtosis). The Mann-Whitney test or Student's t-test was used to compare the difference in ADC histogram metrics between endometrioid adenocarcinomas (EACs) and serous endometrial cancers (SECs) and between different tumour grades (G1, G2, G3). The area under the curve (AUC) of the receiver operating characteristic (ROC) curve was used to evaluate the performance of ADC histogram metrics or combined models in predicting the tumour subtype and grade.

RESULTS

SECs showed a significantly larger tumour volume (P < 0.001) and lower meanADC, 50th, 75th and 90th percentiles of ADC than EACs (all P < 0.05). MinADC, maxADC, meanADC, 10th, 25th, 50th, 75th, 90th percentiles of ADC were significantly higher in G1 than in G2 and G3 EACs (all P < 0.05), while were not significantly different between G2 and G3 EACs (all P > 0.05). A tumour volume ≥ 7.752 cm³ allowed for the prediction of SECs, with an AUC of 0.765 (0.714-0.810). A meanADC ≥ 0.892 × 10^-3  mm²/s enabled to discriminate G1 from G2 and G3 EACs, with an AUC of 0.818 (0.769-0.861).

CONCLUSION

Volumetric ADC histogram analysis is helpful for non-invasive preoperatively predicting the subtype of endometrial cancer and differentiating G1 from G2 and G3 EACs.

Molecular Landscape of the Epithelial-Mesenchymal Transition in Endometrioid Endometrial Cancer

Modern diagnostics are based on molecular analysis and have been focused on searching for new molecular markers to use in diagnostics. Included in this has been the search for the correlation between gene expression in tissue samples and liquid biological materials. The aim of this study was to evaluate the differences in the expression profile of messenger RNA (mRNA) and micro-RNA (miRNA) related to the epithelial-mesenchymal transition (EMT) in different grades of endometrial cancer (G1-G3), in order to select the most promising molecular markers. The study material consisted of tissue samples and whole blood collected from 30 patients with endometrial cancer (study group; G1 = 15; G2 = 8; G3 = 7) and 30 without neoplastic changes (control group). The molecular analysis included the use of the microarray technique and RTqPCR. Microarray analysis indicated the following number of mRNA differentiating the endometrial cancer samples from the control (tissue/blood): G1 vs. C = 21/18 mRNAs, G2 vs. C = 19/14 mRNAs, and G3 vs. C = 10/9 mRNAs. The common genes for the tissue and blood samples (Fold Change; FC > 3.0) were G1 vs. C: TGFB1, WNT5A, TGFB2, and NOTCH1; G2 vs. C: BCL2L, SOX9, BAMBI, and SMAD4; G3 vs. C STAT1 and TGFB1. In addition, mRNA TGFB1, NOTCH1, and BCL2L are common for all grades of endometrial cancer. The analysis showed that miR-144, miR-106a, and miR-30d are most strongly associated with EMT, making them potential diagnostic markers.

Pre-surgical staging in endometrial cancer: An opportunity for risk stratification and triage?

BACKGROUND

Endometrial cancer (EC) is treated by comprehensive surgical staging that includes a systematic lymphadenectomy. The low rates of lymph node metastasis (LNM) in early stages question the benefit of routine lymphadenectomy in low-risk disease, but the absence of a reliable method to identify these patients in whom lymphadenectomy could be omitted makes complete staging the standard of care. This study evaluated a method of preoperative staging in EC to identify patients at low risk of LNM and adjuvant treatment.

METHODS

This prospective observational study compared the presurgical staging and risk triage based on endometrial biopsy (EB) and imaging (magnetic resonance imaging [MRI], Positron Emission Tomography [PET] scan) in 94 cases of EC with the final surgicopathological staging and evaluated the role of each modality in presurgical evaluation and triage.

RESULTS

Ninety-four cases were triaged into 42 low-risk and 52 non-low-risk cases preoperatively. EB showed a sensitivity, specificity, and accuracy of 51.55%, 89.83%, and 75.53%, respectively, in identifying high-risk grade and histology. MRI was effective for local staging and identified tumor size, myometrial invasion, and cervical involvement with accuracy ranging from 82.20% to 97.78% for these parameters. MRI detected LNM with an accuracy of 85.11%, whereas PET exhibited an accuracy of 86.17%. The combined presurgical staging could identify low-risk disease with a sensitivity, specificity, and accuracy of 85.37%, 86.79%, and 86.17%, respectively.

CONCLUSION

Preoperative staging may triage patients into low-risk and non-low-risk cases, thereby facilitating a conscious decision to omit lymphadenectomy in low-risk cases, thus avoiding unnecessary morbidity without compromising oncological safety.

What is the predictive value of preoperative CA 125 level on the survival rate of type 1 endometrial cancer?

Background/aim

To investigate the utility of preoperative serum cancer antigen 125 (CA 125) levels in type 1 endometrial carcinoma (EC) as a marker for determining poor prognostic factors and survival.

Material and methods

All patients with endometrial cancer, who had been treated between 2012 and 2020, were retrospectively reviewed, and finally, 256 patients with type 1 endometrium carcinoma were included in the study. The relationship between the clinicopathological characteristics, CA 125 level, and survival rates were analyzed. The cut-off value for the preoperative serum CA 125 level was defined as 16 IU/L.

Results

The median serum CA 125 levels were significantly higher in patients with deep myometrial invasion, lymph node metastasis, lymphovascular space invasion, cervical stromal and adnexal involvement, advanced stage, positive peritoneal cytology, recurrence, and adjuvant therapy requirement. Serum CA 125 cut-off values determined according to clinicopathologic factors ranged from 15.3 to 22.9 IU/L (sensitivity 61%–77%, specificity 52%–73%). The disease-specific survival rate was significantly higher in patients with CA 125 levels < 16 IU/L (P = 0.047).

Conclusion

The data showed that choosing a lower threshold value for the CA 125 level (16 IU/L) instead of 35 IU/L, could be more useful in type 1 EC patients with negative prognostic factors.

Impact of restaging lymphadenectomy after sentinel node biopsy on endometrial cancer

INTRODUCTION

Approximately 10 % of patients with an intra-operative diagnosis of low-risk endometrial cancer (EC) will be upstaged after a definitive histological evaluation of hysterectomy and bilateral adnexectomy samples. This study aimed to explore the results associated with the performance of pelvic and para-aortic lymphadenectomy for restaging after upstaging/upgrading these patients, and to compare those who underwent sentinel lymph node biopsy (SNB) in the first procedure with those who did not.

MATERIALS AND METHODS

This retrospective cohort study included 27 patients diagnosed with low-risk EC (based on the criteria of the European Society of Medical Oncology/European Society of Gynecological Oncology/European Society for Radiotherapy and Oncology), who underwent surgical laparoscopic restaging due to upstaging based on the final histological result at Hospital Universitario Donostia from April 2013 to September 2018. Surgical and oncological results were compared between patients who underwent hysterectomy and double adnexectomy without any additional procedures (SNB-; n = 17) and patients who also underwent pelvic&aortic sentinel node biopsysen (SNB+; n = 10). The main outcome evaluated in the study was intra-operative complications. Secondary outcomes were mean operative time, length of hospital stay, number of nodes obtained, progression-free survival (PFS) and overall survival (OS).

RESULTS

The median duration of restaging surgery was 240 [interquartile range (IQR) 180-300) min in the SNB(-) group and 300 (IQR 247.5-330) min in the SNB(+) group; this difference was significant (one-sided Student's t-test, p = 0.0295). With regard to intra-operative complications, there were 17.65 % and 40 % in the SNB(-) and SNB(+) groups, respectively, all of which were vascular; this difference was not significant. There were no significant difference in the length of hospital stay, number of pelvic nodes obtained, PFS or OS between the groups.

CONCLUSION

Women with EC who require lymph node restaging due to upstaging, and have previously undergone SNB, experience more surgical complications and a longer operative time. The authors advise against performing second restaging surgery in these patients.

Accuracy of preoperative sampling diagnosis for predicting final pathology in patients with endometrial carcinoma: a review

Endometrial cancer (EC) is the most common gynecologic cancer. The most frequent symptom of this disease is postmenopausal bleeding. Diagnosis of EC must be histologically confirmed, and there are several methods for endometrial sampling to obtain cells or endometrial tissue. The first step in diagnosis should be ultrasound measurement of endometrial thickness, followed by endometrial sampling, which can be performed by office endometrial biopsy, hysteroscopic biopsy, or dilatation and curettage (D&C). The review in this article was carried out to present previously published studies, comprehensively evaluate method performance (i.e., overall accuracy of preoperative sampling in patients with endometrial carcinoma, and overall agreement on grade and histological subtype between preoperative endometrial sampling and final diagnosis), and determine which sampling method is most accurate on the basis of the statistical data in the studies analyzed. From the literature analyzed and examined, it can be concluded that preoperative endometrial sampling is not always the best predictor of final histology in EC and has its limitations. In surgical decisions based only on preoperative sampling, a biopsy should be made with caution, and it is necessary to take other parameters into account. Inadequate grading leads to suboptimal clinical management, mainly in early-stage tumors. This review showed that, although hysteroscopic biopsy was mainly associated with the highest tumor grade agreement, and although D&C showed the highest overall accuracy in detecting endometrial carcinoma, the data do not therefore reliably indicate which method yields the most precise results. The results of this review indicate that further studies on larger samples and with greater statistical power are needed to accurately define the role and type of preoperative sampling methods.

Accuracy of preoperative endometrial biopsy and intraoperative frozen section in predicting the final pathological diagnosis of endometrial cancer

BACKGROUND

Histotype and grade of endometrial cancer (EC) are prognostic factors of nodal involvement and thus of survival. Preoperative biopsy (PB) and intraoperative frozen section (FS) are usually used to guide surgical staging on which the choice of adjuvant therapy will be based successively.

OBJECTIVE

The aim of this study was to assess the agreement rate between PB and FS with final diagnosis (FD) in a series of surgically resected EC.

MATERIALS

All patients submitted to hysterectomy for EC or atypical endometrial hyperplasia in the Reggio Emilia Province hospitals from 2007 to 2018 were included. Concordance rate differences in histotype, grading, myoinvasion, risk of recurrence between PB, FS and FD were assessed with Fisher's exact test and Mc Nemar contingency test.

RESULTS

A total of 352 patients were identified. For 345 patients it was possible to compare PB and FD results. FS examination was performed in 201/352 (57%) cases, while for 21/352 (6%) patients only an intraoperative macroscopic evaluation was done; in the remaining women, FS-exam was omitted. In 14/201 (7%) cases the tumor wasn't grossly identifiable and the random FS-sampling wasn't able to find the tumor site. High diagnostic concordance of tumor type between PB and FD was observed: no significant differences were registered in type 1 and type 2-endometrial cancer identification (83%, 73%, p = 0.121). Significant differences (p = 0.005) were observed comparing FS and FD results: 95% of type 1-ECs were correctly diagnosed by FS, while only 76% of type 2-ECs received a correct diagnosis on FS. PB showed a concordance with FD among tumor grading close to 55% whilst concordance achieved 71% grouping low grade (G1-G2) EC. No significant differences in FS and FD concordance rate were observed between tumor grades. Concordance for low grade was significantly higher than for high grade ECs (89% vs 50%, respectively, p value = 0.014). The concordance rate in evaluating the myoinvasion status between FS and FD was 80% (n: 199 patients), reaching 99% after combining the first 2 groups (0-49% vs ≥ 50%). Twenty-two cases underwent only intraoperative macroscopic evaluation of the myoinvasion, with an accuracy of 91%: only in 1 case the invasion of the cervical stroma was not detected (Stage II), and 1 case the patient was overstaged as Ib. Discrepancies were observed in FS capacity to correctly predict the final ESMO risk group in stage I patients: FS resulted particularly reliable in predicting a low-risk (concordance with FD: 91%) while the accuracy sharply decreased for intermediate- and high-risk patients (62% and 40%, respectively). To investigate the usefulness of FS in EC management, we compared patients who underwent FS (FS-group) or not (no-FS-group). Especially for low risk patients, the FS significantly increased the adequacy of surgical treatment from 53% (no-FS-group) to 72% (FS-group) (p = 0.016).

CONCLUSIONS

FS remains a useful tool to tailor surgery in EC-patients, avoiding secondary surgery to complete staging particularly in patients with AH + AHBA, low and intermediate risk ECs that could benefit from adjuvant therapy.

Fertility-sparing treatment for intramucous, moderately differentiated, endometrioid endometrial cancer: a Gynecologic Cancer Inter-Group (GCIG) study

OBJECTIVE

'The Endometrial Cancer Conservative Treatment (E.C.Co.). A multicentre archive' is a worldwide project endorsed by the Gynecologic Cancer Inter-Group, aimed at registering conservatively treated endometrial cancer (EC) patients. This paper reports the oncological and reproductive outcomes of intramucous, G2, endometrioid EC patients from this archive.

METHODS

Twenty-three patients (Stage IA, G2, endometrioid EC) were enrolled between January 2004 and March 2019. Primary and secondary endpoints were, respectively, complete regression (CR) and recurrence rates, and pregnancy and live birth rates.

RESULTS

A median follow-up of 35 months (9-148) was achieved. Hysteroscopic resection (HR) plus progestin was adopted in 74% (17/23) of cases. Seventeen patients showed CR (median time to CR, 6 months; 3-13). Among the 6 non-responders, one showed persistence and 5 progressed, all submitted to definitive surgery, with an unfavorauble outcome in one. The recurrence rate was 41.1%. Ten (58.8%) complete responders attempted to conceive, of whom 3 achieved at least one pregnancy with a live-birth. Two out of the 11 candidate patients underwent definitive surgery, while the remaining 9 have so far refused. To date, 22 patients show no evidence of disease, and one is still alive with disease.

CONCLUSIONS

Fertility-sparing treatment seems to be feasible even in G2 EC, although caution should be kept considering the potential pathological undergrading or non-endometrioid histology misdiagnosis. The low rate of attempt to conceive and of compliance to definitive surgery underline the need for a 'global' counselling extended to the follow-up period.

Evaluating the diagnostic performance of preoperative endometrial biopsies in patients diagnosed with high grade endometrial cancer: A study of the Society of Gynecologic Oncology (GOC) Community of Practice (CoP)

BACKGROUND

High grade cancers account for a disproportionate number of recurrences in patients with endometrial cancer. Accurately identifying these cases on endometrial biopsies allows for better surgical planning. This study evaluates the diagnostic accuracy of general pathologists (GP) compared to gynecological pathologists (GYNP) in interpreting preoperative biopsies.

METHODS

A retrospective cohort study was conducted of patients diagnosed with high grade endometrial cancer (HGEC) between 2012 and 2016 at eight Canadian cancer centres. Data was collected from medical records. Pre-operative biopsies were categorized into groups; biopsies read by GP, GYNP and GP reviewed by GYNP. Rates of HGEC on pre-operative biopsy were calculated. Fisher exact test was used to compare differences between the groups. Univariate logistic regression analysis was conducted for HGEC prediction.

RESULTS

Of 1237 patients diagnosed with HGEC, 245 (19.8%) did not have a preoperative diagnosis of high-grade disease. Discordancy was identified in 91/287 (31.71%) of biopsies reported by GP, and in 114/910 (12.53%) of biopsies reported by a GYNP (p < 0.0001). Compared to GP, GYNP were 3.24 (CI 2.36-4.45) times more likely to identify high grade disease on preoperative biopsy. Patients whose biopsy was reported by a GYNP were more likely to have a comprehensive staging procedure (OR 1.77 CI 1.33-2.38) and less likely to receive adjuvant therapy (OR 0.71 CI 0.52-0.96).

CONCLUSION

GYNP are more likely to identify HGEC on pre-operative biopsies. Due to high rates of overall discordancy, it is possible that surgical staging procedures should not be based solely on preoperative biopsy. Further strategies to improve pre-operative biopsies' accuracy are needed.

Should endometrial biopsy under direct hysteroscopic visualization using the grasp technique become the new gold standard for the preoperative evaluation of the patient with endometrial cancer?

OBJECTIVE

To investigate the diagnostic accuracy of endometrial biopsy performed with hysteroscopic direct visualization using the "grasp technique" for the detection of endometrial carcinoma (EC) histology type and tumor grade.

METHODS

A cross-sectional study including the clinical and pathology records of patients with confirmed EC who underwent definitive surgery at University of Naples was performed. The preoperative diagnosis of endometrial tumor type and grade obtained using the hysteroscopy grasp technique was correlated with the final pathology specimens. Those results were compared to the diagnostic accuracy of the biopsies collected in a cohort of patients who underwent preoperative diagnostic hysteroscopy followed by blind endometrial biopsy using the Novak curette with subsequent surgical definitive treatment at University of Pisa. Statistical analysis was based on frequency data and diagnostic agreement of the pathology results.

RESULTS

A total of 129 patients were included in the final analysis. An agreement rate of 104/106 (98.1%) for endometrioid type and 15/23 (65.2%) for non-endometrioid type was obtained between preoperative hysteroscopic grasp endometrial biopsy specimens and the final pathology with a coefficient k for G1, G2 and G3 tumors of 0.928, 0.925 and 0.974, respectively. When compared to 121 patients undergoing preoperative blind Novak endometrial biopsy, the hysteroscopic grasp technique was superior in agreement rates for tumor histotype [diagnostic accuracy (0.922 vs 0.890); K value (0.705 vs 0.642)] and grade when in presence of endometrioid type EC (K Cohen 0.354 for G1, 0.263 for G2 and 0.488 for G3).

CONCLUSIONS

Preoperative hysteroscopic guided "grasp" endometrial biopsy provides a more accurate diagnosis of EC histology type and tumor grade when in presence of endometrioid type tumor compared to blind endometrial biopsy obtained using the Novak curette.

Hysteroscopic resectoscope-directed biopsies and outpatient endometrial sampling for assessment of tumor histology in women with endometrial cancer or atypical hyperplasia

OBJECTIVE

To evaluate and compare the diagnostic efficiency of outpatient endometrial sampling (OES) and hysteroscopic resectoscope-directed biopsies (HY_biopsy) to distinguish between endometrial cancer (EC) and atypical hyperplasia (AH) and to assess tumor type and grade (histotype) in women with EC.

DESIGN

Patients with AH or EC (n = 266) among 1013 patients consecutively referred because of postmenopausal bleeding were included. Identification of EC versus AH, and unfavorable tumor types (endometrioid grade 3 or non-endometrioid tumors) using OES and HY_biopsy was compared to final histopathology at hysterectomy. AH or EC were identified by OES in 184 patients and by HY_biopsy in212.

RESULTS

OES had only sufficient tissue samples in 72.7% of intended samples. Even when OES did provide sufficient material, addition of HY_biopsy was a better technique than OES alone to distinguish between EC and AH, with an AUC of 95.9% and 79.8%; sensitivity of 97.4% and 64.6% and a specificity of 94.4% and 95.0%, respectively (p = 0.008). AH was falsely diagnosed with OES in 58 (35.4%) of 164 women with a final diagnose of EC. A final diagnosis of stage 1b or more was seen in 22 of these 58 women, while 5 of 194 patients with EC all stage 1a grade 1 had AH by HY_biopsy. HY_biopsy had higher correlation in assessment of tumor type and grade than OES, but OES and HY_biopsy had comparable AUC of 90.3% and 92.4% for identification of unfavorable tumors when tumor histotype was successfully identified. Regarding identification of unfavorable tumors (n = 57), a successfully assessment of histotype by OES combined with HY_biopsy in women without successfully diagnosed histotype by OES alone had AUC of 91.3%.

CONCLUSION

Addition of HY_biopsy may improve diagnosis when preoperative OES identifies AH or is insufficient for explicit diagnosis of tumor type and grade. However, there is limited benefit of the addition of HY_biopsy in the presence of definite diagnosis of grade 1-2 endometrioid tumors by OES.

Improving response to progestin treatment of low-grade endometrial cancer

OBJECTIVES

This review examines how response rates to progestin treatment of low-grade endometrial cancer can be improved. In addition to providing a brief overview of the pathogenesis of low-grade endometrial cancer, we discuss limitations in the current classification of endometrial cancer and how stratification may be refined using molecular markers to reproducibly identify 'low-risk' cancers which may represent the best candidates for progestin therapy. We also discuss constraints in current approaches to progestin treatment of low-grade endometrial cancer and perform a systematic review of predictive biomarkers.

METHODS

PubMed, ClinicalTrials.gov, and Cochrane Library were searched for studies reporting pre-treatment biomarkers associated with outcome in women with low-grade endometrial cancer or endometrial hyperplasia with an intact uterus who received progestin treatment. Studies of fewer than 50 women were excluded. The study protocol was registered in PROSPERO (ID 152374). A descriptive synthesis of pre-treatment predictive biomarkers reported in the included studies was conducted.

RESULTS

Of 1908 records reviewed, 19 studies were included. Clinical features such as age or body mass index cannot predict progestin response. Lesions defined as 'low-risk' by FIGO criteria (stage 1A, grade 1) can respond well; however, the reproducibility and prognostic ability of the current histopathological classification system is suboptimal. Molecular markers can be reproducibly assessed, have been validated as prognostic biomarkers, and may inform patient selection for progestin treatment. DNA polymerase epsilon (POLE)-ultramutated tumors and a subset of p53 wild-type or DNA mismatch repair (MMR)-deficient tumors with 'low-risk' features (eg, progesterone and estrogen receptor-positive) may have improved response rates, though this needs to be validated.

DISCUSSION

Molecular markers can identify cases which may be candidates for progestin treatment. More work is needed to validate these biomarkers and potentially identify new ones. Predictive biomarkers are anticipated to inform future research into progestin treatment of low-grade endometrial cancer and ultimately improve patient outcomes.

Novel preoperative predictive score to evaluate lymphovascular space involvement in endometrial cancer: an aid to the sentinel lymph node algorithm

INTRODUCTION

Sentinel lymph node (SLN) dissection has been recognized as a valid tool for staging in patients with endometrial cancer. Several factors are predictors of recurrence and survival in endometrial cancer, including positive lymphovascular space invasion. The aim of this study is to formulate a pre-operative score that, in the event of no-SLN identification, may give an estimate of the true probability of lymphovascular space invasion and guide management.

METHODOLOGY

This was a multi-institutional retrospective study conducted from January 2007 to December 2017. We included all patients with any grade endometrial tumor with a complete pathological description of the surgical specimen and with a minimum follow-up of 12 months. All patients underwent a class A hysterectomy according to Querleu and Morrow and bilateral salpingo-oophorectomy. Lymphadenectomy was performed based on patient risk of node metastases. In order to verify the predictive capacity of the parameters associated with lymphovascular space invasion status, grading, abnormal CA125 (>35 units/ml), myometrial invasion, and tumor size, a synthetic score was calculated. The score was introduced in the receiver operating characteristic curve model in which the binary classifier was represented by the lymphovascular space invasion status. The ideal cut-off was calculated with the determination of the Youden index. Sensitivity and negative predictive value of lymphovascular space invasion score was calculated in patients with lymph node metastasis.

RESULTS

Six hundred and fourteen patients were included in the study. The average age and BMI of patients were 64.8 (range 33-88) years and 30.1 (range 17-64) respectively. Of the 284 patients who underwent lymphadenectomy, 231 (81.3%) patients had no lymph node metastases, 33 (11.6%) patients had metastatic pelvic lymph nodes, 12 (4.2%) patients had metastatic aortic lymph nodes, and eight (2.8%) patients had both pelvic and aortic metastatic lymph nodes. Lymphovascular space invasion was associated with deep myometrial infiltration (P<0.001), G3 grading (P<0.001), tumor size ≥25 mm (P=0.012), abnormal CA125 (P<0.001), recurrence (P<0.001), overall survival (P<0.001), and disease-free survival (P<0.01). Of all patients with lymphovascular space invasion, 79% had an lymphovascular space invasion score ≥5. The score ranged from a minimum score of 1 to a maximum of 7. The score shows 78.9% sensitivity (95% CI 0.6971 to 0.8594), 65.3% specificity (95% CI 0.611 to 0.693), 29.4% positive predictive value (95% CI 0.241 to 0.353), and 94.4% negative predictive value (95% CI 0.916 to 0.964).

CONCLUSION

We found that when lymphovascular space invasion score ≤4, there is a very low possibility of finding lymph nodal involvement. The preoperative lymphovascular space invasion score could complement the SLN algorithm to avoid unnecessary lymphadenectomies.

Changes in Expression Pattern of SEMA3F Depending on Endometrial Cancer Grade - Pilot Study

Background:

In the course of neoplastic diseases, a reduction in SEMA3F expression is observed, which translates into an increase in the proliferative and proangiogenic potential of cells forming the tumor and the surrounding microenvironment.

Objective:

The aim of this study was to determine the changes in SEMA3F level in endometrial cancer depending on its grade.

Methods:

The study material consisted of tissue samples: 15 without neoplastic changes (control group) and 45 with endometrial cancer (G1, 17; G2, 15; G3, 13; study group). SEMA3F expression was assessed using the immune-histochemical method.

Results:

The expression of SEMA3F was observed in the control group (Me = 159.38) and in the study group (G1, Me = 121.32; G2, Me = 0; G3, Me = 130.37). Differences between each grade and control and between individual grades were statistically significant. There were no significant correlations between SEMA3F expression and weight and Body Mass Index (BMI). The reduced SEMA3F expression in tumor tissue compared to healthy tissue indicates that this protein plays key roles in proliferation and angiogenesis.

Conclusion:

We found that depending on the severity of the disease, cancer adopts different survival strategies, where SEMA3F plays an important role. As a molecular marker, SEMA3F is not sensitive to weight and BMI.

Assessment of Expression of Homeobox A5 in Endometrial Cancer on the mRNA and Protein Level

BACKGROUND

Endometrial cancer is one of the most common gynecological cancer in the developed countries and occurs mainly in postmenopausal women. Angiogenesis is important for cancer formation as it provides nutrients for growing tumor mass. Most tumors do not show detectable Homeobox A5 (HOXA5 level), suggesting its potential role as a cancer suppressor. It was demonstrated that HOXA5 is involved in the progression of various types of cancer and the loss of its expression correlates with higher pathological grade and poorer outcome.

OBJECTIVE

The aim of the study was to evaluate HOXA5 expression at transcriptome and protein levels.

MATERIALS AND METHODS

The study enrolled 45 women diagnosed with endometrial cancer and 15 without neoplastic changes. The histopathological examination allowed us to divide cancer tissue samples according to the degree of histological differentiation: G1, 17; G2, 15; G3, 13. The expression of the HOXA5 protein was determined by immunohistochemistry. Microarray and RT-qPCR techniques were used to assess HOXA5 expression at the mRNA level.

RESULTS

The reaction to the HOXA5 protein was only visible in glandular cells in G1 endometrial cancer and was lower compared to the control. In grades 2 and 3, reactions were noted at the limit of the method's sensitivity. In addition, reduced HOXA5 expression was observed at the transcriptome level.

CONCLUSION

HOXA5 may become a potential complementary molecular marker, allowing early detection of neoplastic changes in the endometrium. It also seems that detection of HOXA5 at the mRNA and protein levels may be helpful in improving the accuracy of diagnosis and planning effective oncological therapy.

Utility of diffusion-weighted imaging in association with pathologic upgrading in biopsy-proven grade I endometrial cancer

BACKGROUND

Prediction of pathologic upgrading is clinically meaningful to identify the optimal candidate of fertility-preserving hormonal treatment in the young patients with biopsy-proven grade I endometrial cancer.

PURPOSE

To investigate the utility of diffusion-weighted imaging (DWI) in association with pathologic upgrading in endometrial cancer.

STUDY TYPE

Retrospective.

SUBJECTS

Preoperative MRI datasets of 221 patients with grade I endometrial cancer on endometrial biopsy (n = 146), dilatation and curettage (n = 66), or either (n = 9).

FIELD STRENGTH/SEQUENCE

3.0T, including T2 -weighted imaging, DWI with a b-value of 1000 s/mm2 , and dynamic contrast enhanced imaging.

ASSESSMENT

The tumor size was determined as the longest diameter of the lesion. The minimum apparent diffusion coefficient (ADCmin ) was calculated using histogram analysis of the entire tumor.

STATISTICAL TESTS

Mann-Whitney U-test, Pearson's chi-square test, Fisher's exact test, intraclass correlation coefficient (ICC) analysis, receiver operating characteristic (ROC) curve analysis, univariate and multivariate logistic regression analysis.

RESULTS

Pathologic upgrading was identified in 42 patients (19.0%). Patients with pathologic upgrading had larger tumors and showed lower ADCmin values than those without pathologic upgrading (both P < 0.001). The area under the ROC curve of ADCmin and tumor size was 0.812 and 0.758, respectively. On multivariate analysis, tumor ADCmin ≤0.600 × 10-3 mm2 /s (odds ratio [OR], 11.8; P < 0.001) and tumor size on MRI >3 cm (OR, 3.24; P = 0.009) were independently associated with pathologic upgrading. Upgrading occurred in 23 of 31 patients (74.2%) with ADCmin ≤0.600 × 10-3 mm2 /s and tumor size >3 cm, and in 7 of 114 patients (6.1%) with ADCmin >0.600 × 10-3 mm2 /s and tumor size ≤3 cm.

DATA CONCLUSION

Tumor ADC and tumor size on MRI may be useful parameters in association with pathologic upgrading in biopsy-proven grade I endometrial cancer.

LEVEL OF EVIDENCE

4 Technical Efficacy: Stage 3 J. Magn. Reson. Imaging 2020;51:117-123.

Interplay between miRNAs and Genes Associated with Cell Proliferation in Endometrial Cancer

Endometrial cancer develops as a result of abnormal cell growth associated with uncontrolled cell proliferation, excessive activation of signaling pathways and miRNA activity. The aim of this study was to determine the expression profile of genes associated with cell proliferation and to assess which miRNAs can participate in the regulation of their expression. The study enrolled 40 patients with endometrial cancer and 10 patients without neoplastic changes. The expression profile of genes associated with cell proliferation and the expression profile of miRNAs were assessed using microarrays. RT-qPCR was performed to validate mRNA microarray results. The mirTAR tool was used to identify miRNAs that regulate the activity of genes associated with cell proliferation. Decreased expression of IGF1 and MYLK, as well as SOD2 overexpression, were observed in endometrial cancer using both mRNA microarrays and RT-qPCR. Microarray analysis showed low levels of NES and PRKCA, but this was only partially validated using RT-qPCR. Reduced activity of MYLK may be caused by increased miR-200c, miR-155 and miR-200b expression. Cell proliferation is disturbed in endometrial cancer, which may be associated with an overexpression of miR-200a, miR-200c, and miR-155, making it a potential diagnostic marker.

Endometrial Carcinoma: Texture Analysis of Apparent Diffusion Coefficient Maps and Its Correlation with Histopathologic Findings and Prognosis

PURPOSE

To determine the feasibility of texture analysis (TA) of apparent diffusion coefficient (ADC) maps for predicting histologic grade (HG) and recurrence-free survival (RFS) in patients with endometrial carcinoma (EMC).

MATERIALS AND METHODS

One hundred twenty-one patients with EMC were examined by using a 1.5-T MRI system and diffusion-weighted imaging (DWI) with b values of 0 and 1000 sec/mm². Software with volumes of interest on ADC maps was used to extract 45 texture features including higher-order texture features. Receiver operating characteristic analysis was performed to compare the diagnostic performance of the random forest (RF) model and ADC values for HG and recurrence.

RESULTS

Area under the curve (AUC) for predicting high-grade EMCs was significantly larger for RF model than for ADC values (0.967 vs 0.898; P = .0336). AUC for predicting recurrence was larger for the RF model than for ADC values (0.890 vs 0.875; P = .7248), although the difference was not significant. Mean RFS was significantly shorter for high-grade EMCs than for low-grade EMCs (P = .0002; hazard ratio, 4.9) and for ADC values less than or equal to 0.802 × 10^-3 mm²/sec than for ADC values greater than 0.802 × 10^-3 mm²/sec (P < .0001; hazard ratio, 32.9). RF model showed that the mean RFS was significantly shorter for the presence of recurrence than for its absence (P < .0001; hazard ratio, 94.7).

CONCLUSION

TA of ADC maps had significantly higher diagnostic performance than did ADC values for predicting HG and was a more useful indicator than HG and ADC values for predicting RFS in patients with EMC.Keywords: Comparative Studies, Genital/Reproductive, MR-Diffusion Weighted Imaging, MR-Imaging, Neoplasms-Primary, Pathology, Pelvis, Tissue Characterization, Uterus© RSNA, 2019.

Classification of Endometrial Carcinoma: New Perspectives Beyond Morphology

Endometrial carcinoma has been traditionally divided into type 1 or endometrioid type that is usually moderate to well differentiated and type 2 that is usually poorly differentiated with high histologic grade and aggressive clinical behavior. However, interobserver diagnostic agreement is suboptimal, particularly among the high-grade histotypes. Furthermore, recent data indicate that this histotype assignment does not independently correlate with survival. In recent years, there has been remarkable progress in our understanding of the molecular basis of endometrial carcinoma and extensive molecular studies have been performed under The Cancer Genome Atlas Program (TCGA) leading to molecular classification of endometrial carcinoma that has been shown to be significantly prognostic. This classification system divides the tumors into 4 subgroups namely, polymerase ε exonuclease (POLE) ultramutated, hypermutated microsatellite instability, copy number low, and copy number high (serous-like). Carcinomas with POLE domain hotspot mutations are highly prognostically favorable; those with copy number alterations and TP53 mutations are highly aggressive; and microsatellite unstable and "copy number low" endometrioid are associated with intermediate prognoses. The TCGA applied methods that are too costly and cumbersome for widespread implementation into routine clinical practice. Several other groups have attempted to identify these categories by using immunohistochemical biomarkers rather than molecular studies. Immunohistochemical biomarkers have been used successfully to identify all the subgroups except for POLE ultramutated, which requires sequencing for proper categorization. It is hoped that future studies will identify a suitable biomarker for POLE mutation so that this classification can be routinely used in all medical centers.

Final validation of the ProMisE molecular classifier for endometrial carcinoma in a large population-based case series

Background

We have previously developed and confirmed a pragmatic molecular classifier for endometrial cancers; ProMisE (Proactive Molecular Risk Classifier for Endometrial Cancer). Inspired by the Cancer Genome Atlas, ProMisE identifies four prognostically distinct molecular subtypes and can be applied to diagnostic specimens (biopsy/curettings) enabling earlier informed decision-making. We have strictly adhered to the Institute of Medicine (IOM) guidelines for the development of genomic biomarkers, and herein present the final validation step of a locked-down classifier before clinical application.

Patients and methods

We assessed a retrospective cohort of women from the Tübingen University Women's Hospital treated for endometrial carcinoma between 2003 and 2013. Primary outcomes of overall, disease-specific, and progression-free survival were evaluated for clinical, pathological, and molecular features.

Results

Complete clinical and molecular data were evaluable from 452 women. Patient age ranged from 29 to 93 (median 65) years, and 87.8% cases were endometrioid histotype. Grade distribution included 282 (62.4%) G1, 75 (16.6%) G2, and 95 (21.0%) G3 tumors. 276 (61.1%) patients had stage IA disease, with the remaining stage IB [89 (19.7%)], stage II [26 (5.8%)], and stage III/IV [61 (13.5%)]. ProMisE molecular classification yielded 127 (28.1%) MMR-D, 42 (9.3%) POLE, 55 (12.2%) p53abn, and 228 (50.4%) p53wt. ProMisE was a prognostic marker for progression-free (P = 0.001) and disease-specific (P = 0.03) survival even after adjusting for known risk factors. Concordance between diagnostic and surgical specimens was highly favorable; accuracy 0.91, κ 0.88.

Discussion

We have developed, confirmed, and now validated a pragmatic molecular classification tool (ProMisE) that provides consistent categorization of tumors and identifies four distinct prognostic molecular subtypes. ProMisE can be applied to diagnostic samples and thus could be used to inform surgical procedure(s) and/or need for adjuvant therapy. Based on the IOM guidelines this classifier is now ready for clinical evaluation through prospective clinical trials.

Evaluation of Changes in the Expression Pattern of EDIL3 in Different Grades of Endometrial Cancer

BACKGROUND

EDIL3 is an extracellular matrix protein that plays a key role in angiogenesis. Changes in the pattern of its expression also affect cellular processes and the tumor microenvironment. Elevated level of EDIL3 is considered an unfavorable prognostic marker of survival.

OBJECTIVE

The aim of this study was to evaluate the changes in EDIL3 expression in endometrial cancer at various degrees of its differentiation (G1-G3) and to discuss its potential role as a molecular diagnostic marker and therapeutic target.

METHODS

The study group consisted of 45 patients with endometrial cancer: G1, 17; G2, 15; G3, 13. The control group (C) included 15 patients without neoplastic changes. The expression of EDIL3 was assessed using immunohistochemistry. Statistical analysis was performed using the Statistica 12 PL software (p<0.05).

RESULTS

Analysis of EDIL3 expression showed that the average optical density of the reaction product in G1 reached 130% of the control, while the values in G2 and G3 were 153% and 158%, respectively. Regardless of the endometrial cancer grade, an increase in EDIL3 level was observed compared to the control.

CONCLUSION

In our study, we demonstrated overexpression of EDIL3 protein in endometrial cancer. Differences in expression between degrees of tumor differentiation suggest the potential of using changes in EDIL3 level as a new complementary diagnostic marker and target for anti-angiogenic therapy.

Application of the Proactive Molecular Risk Classifier for Endometrial Cancer (ProMisE) to patients conservatively treated: Outcomes from an institutional series

OBJECTIVE

To test the Proactive Molecular Risk Classifier for Endometrial Cancer (ProMisE) and determine the frequency of specific/prognostic molecular alterations within a cohort of endometrial cancer (EC) women conservatively treated by combined hysteroscopic resection and progestin therapy.

STUDY DESIGN

We used blocks of formalin-fixed paraffin-embedded tissue from the primary tumors of patients enrolled into the ECCo trial (EudraCT 2010-018581-23) between 2007 and 2016. In order to assign EC resectoscopic specimens to one of four ProMisE subgroups, testing involved sequential assessment of i) immunohistochemistry (IHC) for mismatch repair (MMR) proteins MLH1, MSH2, MSH6 and PMS2; ii) sequencing for POLE/POLD1 exonuclease domain mutations (EDMs); iii) p53 IHC.

RESULTS

Molecular analysis methods were used in 25 patients (stage IA, G1-2 endometrioid EC), of whom 15 (60%) represented fully evaluable cases. Seven cases (46.7%) had abnormal MMR IHC, POLE/POLD1 EDMs were found in 3 cases (20%), and abnormal p53 IHC in 1 case (6.6%). Three patients (20%) had more than one molecular feature. Among 10 (40%) 'unclassifiable' patients, six failures in achieving complete molecular categorization were due to the low tumor volume. Molecular classification of the 15 fully evaluable cases yielded the following ProMisE subtypes: 7 (46.7%) MMR IHC abnormal, 1 (6.6%) POLE EDM, 0 (0%) p53 IHC abnormal, 7 (46.7%) p53 IHC wild-type.

CONCLUSIONS

Although larger series are needed to further assess the feasibility of a molecular categorization in a fertility-sparing setting, data presented are promising. In women with early stage low-volume disease, operative hysteroscopy could be advantageous to provide samples allowing complete genetic risk assessment.

Is outpatient hysteroscopy accurate for the diagnosis of endometrial pathology among perimenopausal and postmenopausal women?

OBJECTIVE

To assess the histological and visual accuracy of outpatient hysteroscopy.

METHODS

This was a retrospective analysis of all women referred to a tertiary center outpatient hysteroscopy clinic between March 2011 and October 2016 for the following indications: postmenopausal bleeding, suspected polyp, and/or thick endometrium. Histological accuracy was evaluated by comparing specimens obtained in hysteroscopy with those obtained by hysterectomy, and visual accuracy was evaluated by comparing visual findings with those obtained by biopsies. Sensitivity, specificity, positive predictive value, negative predictive value, and likelihood ratio were calculated to assess visual accuracy.

RESULTS

The mean age of participants was 54.14 (interquartile range 43.0-64.0). A total of 408 pathological specimens were obtained from outpatient hysteroscopies during the 712 visits recorded in the clinic log. Histological accuracy was evaluated in 15 participants who eventually underwent hysterectomy. Total percent of agreement between hysteroscopy biopsies and final pathology obtained by hysterectomy was 73% (kappa = 0.47). Overall visual accuracy was calculated with a 93.1% sensitivity, 52.1% specificity, 90.4% positive predictive value, and 61.0% negative predictive value. Visual accuracy for benign pathology was generally higher compared with that for pre and malignant lesions. Visual accuracy was satisfactory for the diagnosis of endometrial carcinoma with sensitivity and specificity of 71.4% and 98.9%, respectively, but poor for diagnosing hyperplasia with sensitivity and specificity of 25.0% and 96.6%, respectively.

CONCLUSIONS

Outpatient hysteroscopy is an adequate and reliable tool for the evaluation of benign pathology in the uterine cavity. Visual findings may not suffice, and directed biopsies may be required to improve diagnostic accuracy.

Investigation of Extra-Uterine Tumor Dissemination of Endometrial Cancers with Myometrial Invasion Less Than 50% According to Histologic Subtypes

Objectives:

This study aims to investigate the rates of extra-uterine metastases of non-endometrioid endometrial tumors limited to the half of the myometrium.

Methods:

Patients operated for endometrial cancer between 2005-2015 in two gynecologic oncology centers were screened from clinical archives. The inclusion criteria were serous, clear cell, undifferentiated or carcinosarcoma histologies and less than half myometrial invasion. Each histological type was analyzed for adnexal metastasis, lymph node metastasis (pelvic/paraaortic) and omental metastasis.

Results:

A total of 116 patients with the median age of 64 (34-72) were examined. Of the patients, 57 were serous (49.1%), 29 were clear cell (25.0%), 27 were carcinosarcoma (23.3%) and 3 (2.6%) were undifferentiated histologic type. Adnexal metastasis (over/tuba) was detected in 15 patients (12.9 %), nodal metastasis in 10 patients (8.6%), and omental metastasis in 15 patients (12.9%). The rates of adnexal metastases were calculated as 14% for serous type, 10% for clear cell type and 11% for carcinosarcoma. Omental metastasis rates were 11% for serous type, 17% for clear cell type and 15% for carcinosarcoma. The rates of extra-peritoneal nodal metastases were calculated as 12% for serous type, 7% for clear cell type and 4% for carcinosarcoma.

Conclusion:

According to the findings obtained in this study, the rates of extra-uterine metastasis are high for serous, clear cell or carcinosarcoma types even in the early period. However, the lymph node metastasis in the carcinosarcoma seems to be lower. A comprehensive staging surgery should be planned for these patients, regardless of the depth of myometrial invasion.

Audit of Endometrial Cancer Pathology for a Regional Gynecological Oncology Multidisciplinary Meeting

Endometrial cancer is a common disease, and in England all cancer cases are discussed at a central multidisciplinary meeting (MDT) with pathology review. We reviewed cases discussed/reviewed at a regional Gynecology MDT comparing (i) original referral histology with review histology and (ii) final review histology with the final hysterectomy histology. Cases identified as potentially eligible for the study (n=884) were found over a 4-yr period. This was reduced to 630 due to data and other issues for the primary biopsy review, and to 488 for both biopsy and hysterectomy sample. Cases were classed by agreement by grade/type and compared by clinical management (low grade vs. high grade). Of the original biopsies, central review agreed exactly with 67% and disagreed with 33%. A total of 11.6% of low-grade cancers were upgraded to high grade on review, and 6.1% of high-grade cancers were downgraded. For the biopsy/hysterectomy comparison, this was 72.5% agreement and 27.5% disagreement, with 3.5% upgraded to high from low grade, and 7.5% downgraded from high to low grade. The main areas of significant change was the identification of high-grade serous carcinoma from low-grade endometrial cancers, as well some other high grade types (clear cell and carcinosarcoma) and the confident diagnosis of cancer as opposed to an atypical hyperplasia. Central pathology review for MDT discussion does highlight significant areas of pathologic disagreement that would affect clinical management. The audit highlights that a significant disagreement rate in reporting such material between pathologists may be inescapable, but can be reduced by review.

Tumor Grade Correlation Between Preoperative Biopsy and Final Surgical Specimen in Endometrial Cancer: The Use of Different Diagnostic Methods and Analysis of Associated Factors

Objective

This study aimed to identify the correlation between histology tumor grade of the preoperative biopsy using dilatation and curettage (D&C), Pipelle, or hysteroscopy and final surgical specimen in women with endometrioid endometrial cancer.

Materials and Methods

Patients on whom a preoperative biopsy was performed between 2009 and 2016 were reviewed and cases with apparent early-stage endometrioid endometrial cancer were included in the study. The accuracy of preoperative biopsy performed before hysterectomy using D&C, Pipelle, or hysteroscopy was compared.

Results

A total of 332 patients were included. The diagnostic method was D&C in 43 cases (13%), Pipelle in 102 (31%), and hysteroscopy in 187 (56%). The preoperative diagnosis included G1 tumors in 177 cases (53.3%), G2 in 103 (31%), and G3 in 52 (15.6%). The surgical specimen confirmed endometrioid endometrial tumor in 309 patients (93%).

The accuracy rates of preoperative biopsy and surgical specimen were 74.69%, 73.19%, and 89.75% for G1, G2, and G3, respectively. Hysteroscopy showed better κ index (κ = 0.551) than did D&C (κ = 0.392) and Pipelle (κ = 0.430). Tumor diameter greater than 30 mm was the only factor independently associated with absence of correlation between preoperative and postoperative tumor grade (odds ratio [95% confidence interval], 1.959 [1.096–3.504], P = 0.023).

Conclusions

Preoperative biopsy, regardless of the method, has its limitations in predicting the tumor grade compared with final surgical specimen in women with endometrioid endometrial cancer at an apparent early stage. Concordance between the biopsy and hysterectomy specimen is less likely to happen in the case of preoperative G1 or G2 tumors, as well as in big tumors. Although hysteroscopy was associated with the highest tumor grade agreement, no differences in correlation between the 3 methods (D&C, Pipelle, and hysteroscopy) were found.

Asparaginase-like protein 1 expression in curettage independently predicts lymph node metastasis in endometrial carcinoma: a multicentre study

OBJECTIVE

Correct preoperative identification of high-risk patients is important to optimise surgical treatment and improve survival. We wanted to explore if asparaginase-like protein 1 (ASRGL1) expression in curettage could predict lymph node metastases and poor outcome, potentially improving preoperative risk stratification.

DESIGN

Multicentre study.

SETTING

Ten hospitals in Norway, Sweden and Belgium.

POPULATION

Women diagnosed with endometrial carcinoma.

METHODS

ASRGL1 expression in curettage specimens from 1144 women was determined by immunohistochemistry.

MAIN OUTCOME MEASURES

ASRGL1 status related to disease-specific survival, lymph node status, preoperative imaging parameters and clinicopathological data.

RESULTS

ASRGL1 expression had independent prognostic value in multivariate survival analyses, both in the whole patient population (hazard ratio (HR) 1.63, 95% CI 1.11-2.37, P = 0.012) and in the low-risk curettage histology subgroup (HR 2.54, 95% CI 1.44-4.47, P = 0.001). Lymph node metastases were more frequent in women with low expression of ASRGL1 compared with women with high ASRGL1 levels (23% versus 10%, P < 0.001), and low ASRGL1 level was found to independently predict lymph node metastases (odds ratio 2.07, 95% CI 1.27-3.38, P = 0.003).

CONCLUSIONS

Low expression of ASRGL1 in curettage independently predicts lymph node metastases and poor disease-specific survival.

TWEETABLE ABSTRACT

Low ASRGL1 expression in curettage predicts lymph node metastasis and poor survival in endometrial carcinoma.

Combined ASRGL1 and p53 immunohistochemistry as an independent predictor of survival in endometrioid endometrial carcinoma

OBJECTIVE

In clinical practise, prognostication of endometrial cancer is based on clinicopathological risk factors. The use of immunohistochemistry-based markers as prognostic tools is generally not recommended and a systematic analysis of their utility as a panel is lacking. We evaluated whether an immunohistochemical marker panel could reliably assess endometrioid endometrial cancer (EEC) outcome independent of clinicopathological information.

METHODS

A cohort of 306 EEC specimens was profiled using tissue microarray (TMA). Cost- and time-efficient immunohistochemical analysis of well-established tissue biomarkers (ER, PR, HER2, Ki-67, MLH1 and p53) and two new biomarkers (L1CAM and ASRGL1) was carried out. Statistical modelling with embedded variable selection was applied on the staining results to identify minimal prognostic panels with maximal prognostic accuracy without compromising generalizability.

RESULTS

A panel including p53 and ASRGL1 immunohistochemistry was identified as the most accurate predictor of relapse-free and disease-specific survival. Within this panel, patients were allocated into high- (5.9%), intermediate- (29.5%) and low- (64.6%) risk groups where high-risk patients had a 30-fold risk (P<0.001) of dying of EEC compared to the low-risk group.

CONCLUSIONS

P53 and ASRGL1 immunoprofiling stratifies EEC patients into three risk groups with significantly different outcomes. This simple and easily applicable panel could provide a useful tool in EEC risk stratification and guiding the allocation of treatment modalities.