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Objective: We aim to describe our experience of multidisciplinary surgical resection of retroperitoneal sarcoma (RPS), including intra- and extrapelvic approaches.Method: Multidisciplinary surgery is an anatomical approach combining intra- and extraperitoneal access within the same surgery to achieve complete RPS removal. This retrospective review of the records of patients who underwent multidisciplinary surgery for RPS analyzed surgical and survival outcomes.Result: Eight patients underwent 10 intra- and extrapelvic surgical resection and their median mass size was 12.75 cm (range, 6–45.5 cm). Using an intrapelvic approach, laparoscopy-assisted surgery was performed in 4 cases and laparotomy surgery in 6 cases. Using an extrapelvic approach, ilioinguinal and posterior approaches were used in 4 cases each, prone position and midline skin incision were shared in 1 case. All patients’ RPS masses were removed completely and 4 patients achieved R0 resection through intra- and extrapelvic surgery. Additionally, pelvic lymph node dissections or prophylactic fixation or revision of structures were conducted. The median estimated blood loss was 2000 mL (range, 300–20 000 mL) and the median hospitalization was 12.6 days (range, 9–69 days). Reoperation was needed in 2 patients (one for wound necrosis, the other for bowel perforation and wound necrosis). The median overall survival rate and median progression-free survival were 64.6 months and 13.7 months, respectively.Conclusion: RPS are therapeutically challenging based on their locations and high risk of recurrence. Considering that, intra- and extrapelvic surgical approach could improve the macroscopic security of the surgical margin.

Ovarian cancer (OC) is the most lethal gynecologic malignancy and in-time diagnosis is limited because of the absence of effective biomarkers. Germline BRCA1/2 genetic alterations are risk factors for hereditary OC, risk-reducing salpingo-oophorectomy (RRSO) is pursued for disease prevention. However, not all healthy carriers develop the disease. Therefore, identifying predictive markers in the BRCA1/2 carrier population could help improve the identification of candidates for preventive RRSO. In this study, plasma samples from 20 OC patients (10 patients with BRCA1/2 wild type (wt) and 10 with the BRCA1/2 variant (var)) and 20 normal subjects (10 subjects with BRCA1/2wt and 10 with BRCA1/2var) were analyzed for potential biomarkers of hereditary OC. We applied a bottom-up proteomics approach, using nano-flow LC-MS to analyze depleted plasma proteome quantitatively, and potential plasma protein markers specific to the BRCA1/2 variant were identified from a comparative statistical analysis of the four groups. We obtained 1505 protein candidates from the 40 subjects, and SPARC and THBS1 were verified by enzyme-linked immunosorbent assay. Plasma SPARC and THBS1 concentrations in healthy BRCA1/2 carriers were found to be lower than in OC patients with BRCA1/2var. If plasma SPARC concentrations increase over 337.35 ng/mL or plasma THBS1 concentrations increase over 65.28 μg/mL in a healthy BRCA1/2 carrier, oophorectomy may be suggested.

Background Exosomal miRNAs regulate gene expression and play important roles in several diseases. We used exosomal miRNA profiling to investigate diagnostic biomarkers of epithelial ovarian cancer (EOC). Methods In total, 55 individuals were enrolled, comprising healthy (n = 21) and EOC subjects (n = 34). Small mRNA (smRNA) sequencing and real-time PCR (RT-PCR) were performed to identify potential biomarkers. Receiver operating characteristic (ROC) curves were conducted to determine biomarker sensitivity and specificity. Results Using smRNA sequencing, we identified seven up-regulated (miR-4732-5p, miR-877-5p, miR-574-3p, let-7a-5p, let-7b-5p, let-7c-5p, and let-7f-5p) and two down-regulated miRNAs (miR-1273f and miR-342-3p) in EOC patients when compared with healthy subjects. Of these, miR-4732-5p and miR-1273f were the most up-regulated and down-regulated respectively, therefore they were selected for RT-PCR analysis. Plasma derived exosomal miR-4732-5p had an area under the ROC curve of 0.889, with 85.7% sensitivity and 82.4% specificity in distinguishing EOC patients from healthy subjects (pp = 0.018). Conclusions Plasma derived exosomal miR-4732-5p may be a promising candidate biomarker for diagnosing EOC.

OBJECTIVE Familial cancer appears at a young age and its incidence is increasing. About 12% of familial ovarian cancer cases are associated with BRCA1/2 mutations (BRCAm). In this study, we investigated BRCA1 methylation may predict ovarian cancer in those with a family history of cancer (FHC) but without BRCA1/2 mutations (BRCAwt). METHODS Using peripheral blood DNA from 55 subjects without a history of cancer [cancer(-)] and 52 ovarian cancer patients, we examined BRCA1 promoter methylation through bisulfite sequencing of the promoter and expressed the results as the cumulative methylation index. Then, we evaluated the BRCA1 promoter methylation according to BRCA1/2 germline mutations. RESULTS BRCA1 methylation was more prevalent in the BRCAm cancer(-) group than in the BRCAwt cancer(-) group and ovarian cancer patients (p=0.031 and p=0.019, respectively). In the BRCAwt cancer(-) group, BRCA1 methylation was more prevalent in those with an FHC than in those without one and in the BRCAm cancer(-) group with an FHC (p=0.001 and p

Additional file 6: Figure S3. Correlation between the level of exosomal miR-4732-5p and BRCA mutation status or pathological grade.

Additional file 5: Figure S2. Quality control of the data.

Additional file 2: Table S1. Raw data statistics.

Additional file 1. Materials and Methods: SmRNA library preparation and sequencing.

Additional file 4: Figure S1. Study workflow.

Additional file 3: Table S2. Mapped reads to miRbase precursor.

Objective: Discrimination of ovarian tumors is a necessary procedure for proper treatment. In this study, we developed a convolutional neural network model with a convolutional autoencoder (CNN-CAE) to classify ovarian tumors. Methods: A total of 1,613 ultrasound images of ovarian tumors with the known pathologic diagnosis were pre-processed and augmented for deep learning analysis. We designed the CNN-CAE model that removes the unnecessary information on ultrasound images (e.g. calipers and annotations) and classifies ovarian tumors into five classes. We assessed the CNN-CAE model performance using a validation set of 327 images with the following metrics: accuracy, sensitivity, specificity, and the area under the receiver operating characteristic curve (AUC). Gradient-weighted class activation mapping (Grad-CAM) was applied to visualize and verify the CNN-CAE model results qualitatively. Results: In classifying normal versus ovarian tumors, the CNN-CAE model showed 96.0% accuracy, 96.5% sensitivity, and 0.9837 AUC with DenseNet161 CNN architecture. In determining malignancy of ovarian tumors, the CNN-CAE model showed 86.85% accuracy, 75.68% sensitivity, and 0.9225 AUC with DenseNet121 CNN architecture. The Grad-CAM results show that the CNN-CAE model finds valid texture and morphology features from the ultrasound images and classifies ovarian tumors from these features. Conclusion: CNN-CAE is a feasible diagnostic tool that is capable of robustly classifying ovarian tumors by eliminating marks on ultrasound images. CNN-CAE demonstrates a significant application value in clinical conditions. Citation Format: Youn Jin Choi, Yuyeon Jung. Ovarian tumor diagnosis using deep convolutional neural networks and denoising convolutional autoencoder [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 1925.

Background: Transvaginal natural orifice transluminal endoscopic surgery (vNOTES) was introduced in 2012, but the technique is not yet widely used for ovarian cystectomy. We aim to introduce a new gasless ovarian hemostatic suturing technique for ovarian cystectomy using vNOTES. Methods: We conducted a prospective study using a novel technique for vNOTES ovarian cystectomy. Our vNOTES port (a wound retractor and a disposable glove) was inserted transvaginally through a posterior colpotomy. After ovarian cystectomy, removal of the glove created a gasless state. Hemostatic suturing of the ovary was performed through a vaginal speculum inserted through the wound retractor, under direct observation. Results: Twenty ovarian cystectomies were performed through vNOTES at our institution between June 2019 and February 2020. The mean patient age was 34.2 years (range, 24-51 years). Four patients (20%) underwent bilateral cystectomy and 16 patients (80%) underwent unilateral cystectomy. The mean operative time was 58.7 minutes (bilateral, 57.5 minutes; unilateral, 58.9 minutes), and the mean ovarian hemostatic suturing time was 4.3 minutes (bilateral, 5 minutes; unilateral, 4.1 minutes). Ten patients (50%) received additional medication for pain control within 30 minutes of surgery. All patients were discharged within 24 hours, and 11 were discharged within 12 hours. Conclusion: The gasless hemostatic suturing technique for vNOTES, using a speculum to observe the suturing process, is easy to perform and allows for rapid ovarian hemostasis.

Objective To identify the incidence and clinical course of septic shock combined with neutropenia during chemotherapy in gynecological cancer patients. Methods We retrospectively reviewed the medical records of all gynecological cancer patients who received intravenous chemotherapy between March 2009 and March 2018. Patients diagnosed with neutropenic septic shock (NSS) during the course of chemotherapy were identified. We calculated the overall incidence and mortality rate of NSS, and analyzed risk factors and clinical course. Results A total of 1,009 patients received 10,239 cycles of chemotherapy during the study period. Among these, 30 (3.0%) patients had 32 NSS events, of which 12 (1.2%) died. With respect to patient age during the first course of chemotherapy, the incidence of NSS after the age of 50 was significantly higher than that in patients under 50 (3.9% vs. 1.4%, p=0.034). As the number of chemotherapy courses increased, the incidence of NSS increased, and linear-by-linear association analysis showed a positive correlation (p=0.004). NSS events occurred on average 7.8 days after the last cycle of chemotherapy, and the median duration of vasopressor administration was 23.3 hours. The median age (64.0 vs. 56.5, p=0.017) and peak heart rate (149.5 min-1 vs. 123.5 min-1, p=0.015) were significantly higher in the group of patients who subsequently died of NSS than in those who survived. Conclusion The overall incidence of NSS in gynecological cancer patients receiving chemotherapy was 3.0%, which is higher than previously estimated. Peak heart rate during NSS events may be an indicator for predicting survival.

Objective This study aimed to determine the factors affecting pathologic discrepancy and final diagnosis between colposcopic biopsy and pathology by loop electrosurgical excision procedure (LEEP). Methods Between 2004 and 2016, 1,200 patients who underwent LEEP were enrolled for this study. 667 underwent cervical cytology, human papillomavirus (HPV) test, colposcopic biopsy, and LEEP. We analyzed patient's age, menopausal status, number of delivery, abortion times, cervical cytology, number of punch biopsies, HPV type, LEEP, and interval between colposcopic biopsy and LEEP. Results Logistic regression analysis of the final diagnosis showed that age 30-39 years and other high HPV group types were associated with cancer diagnosis, whereas atypical squamous cells cannot exclude high-grade squamous intraepithelial lesion (ASC-H), high-grade squamous intraepithelial lesion (HSIL), and HPV type 16 affected the diagnosis of cervical intraepithelial neoplasia (CIN) 2. The overall concordance rate of histopathology between punch biopsy and LEEP was 43.3%. The rates of detecting a more severe lesion by LEEP than those by biopsy were 23.1%. The rates of a less severe lesion detected by LEEP than those by biopsy were 33.6%. Factors related with biopsy underestimation were as follows