ROS1 as a possible prognostic biomarker of cervical adenocarcinoma: An exploratory analysis with next-generation sequencing.

OBJECTIVES: Given the differences in clinical and biological characteristics between cervical adenocarcinoma and squamous cell carcinoma, this study aimed to conduct an exploratory analysis to examine the molecular characteristics of cervical adenocarcinoma in a Japanese population. METHODS: This study explored the simultaneous testing of multiple mutations targeting cervical adenocarcinoma using next-generation sequencing (NGS). The following genes were analyzed: BCAR4, CD274, PDCD1LG2, KRAS, ARID1A, PTEN, ALK, EGFR, ROS1, BRAF, PIK3CA, EP300, EBXW7, SHCBP1, TGFBR2, SMAD4, ERBB2, ERBB3, and KLF5. Tumor tissue and blood samples were obtained at the time of primary treatment. The NGS-based molecular profiles obtained from Tokai University (49 specimens) were compared with the registered data in The Cancer Genome Atlas (TCGA) database (133 specimens). RESULTS: The study cohort had higher rates of adenocarcinoma than the TCGA cohort (44.9% vs. 18.0%; P = 0.001). The adenocarcinomas in the study cohort had more alterations in ROS1, EGFR, EP300, SHCBP1, ALK, and PIK3CA than those in the TCGA cohort. Among them, ROS1 had the highest number of gene alterations (median, 7.00 ± 2.63). In the study cohort, patients with a high number of ROS1 alterations had a significantly higher recurrence rate (5-year recurrence rate, 48.8% vs. 14.6%; hazard ratio [HR], 4.32; 95% confidence interval [CI], 1.20-15.50; P = 0.014) and lower overall survival than those with low alterations (5-year survival rate, 70.7% vs. 93.1%; HR, 7.15; 95% CI, 1.08-58.22; P = 0.032). CONCLUSION: The current exploratory analysis suggests that ROS1 gene alteration may be a prognostic biomarker in cervical adenocarcinoma in Japanese patients.

Pyogenic Spondylitis in Multidisciplinary Therapies of Gynecologic Malignancies: Three Cases Reports.

Both during and after cancer treatment, pyogenic spondylitis is an uncommon but serious complication. Because pyogenic spondylitis is often recognized as a complication of a distant process causing bacteremia, it initially may be misdiagnosed the primary infection such as urinary tract infection. Consequently, a considerable delay in diagnosis frequently occurs. In addition, estrogen deprivation caused by cancer treatments including RT/CCRT, CT and surgical therapy promotes changes of the immune system. We report two cases of pyogenic spondylitis in a patient with vaginal cancer that occurred delay of the diagnosis, and in a patient with endometrial cancer that had chronic steroid use, and one case of suppurative osteomyelitis in a patient with vulvar cancer that had diabetes mellitus with obesity. Gynecologic oncologists must consider the diagnosis of pyogenic spondylitis based on clinical symptoms such as localized lumbago and medical history. Estrogen deprivation, repeated cancer treatment, diabetes mellitus with obesity, immunosuppression by chronic steroid use are risk factors of pyogenic spondylitis. To prevent delay in diagnosis of pyogenic spondylitis, it is necessary that we must have careful management and follow-up considering all of information such as clinical features and medical history on patients during and after treating for gynecologic malignancies.

Association of menopause, aging and treatment procedures with positive margins after therapeutic cervical conization for CIN 3: a retrospective study of 8,856 patients by the Japan Society of Obstetrics and Gynecology.

OBJECTIVE: The Japan Society of Obstetrics and Gynecology conducted a retrospective multi-institutional survey of patients who underwent cervical conization in Japan. This study aimed to determine the predictive factors for positive surgical margins in cervical intraepithelial neoplasia grade 3 (CIN 3) patients after therapeutic cervical conization and those for positive margins in patients who did not experience recurrence and did not undergo additional treatment. METHODS: In 2009 and 2013, 14,832 patients underwent cervical conization at 205 institutions in Japan. Of these, 8856 patients who underwent therapeutic conization fulfilled the inclusion criteria. Their histologic findings and clinical outcomes were evaluated based on standard statistical procedures and clinical and demographic characteristics. RESULTS: Negative and positive margins were observed in 7,585 and 1,271 (14.4%) patients, respectively. The predictors of positive margins were menopausal status (p<0.001), loop electrosurgical excision procedure (p<0.001), and Shimodaira-Taniguchi (S-T) conization (p<0.001). Of 1,271 patients with positive margins, 1,060 underwent no additional treatment; among those 1,060 patients, 129 (12.2%) experienced recurrence. The predictors of positive margins in patients who did not undergo additional treatment and did not experience recurrence were age, parity, gravidity, S-T conization, and laser scalpel conization. CONCLUSION: Menopausal status and treatment procedures were associated with positive margins after therapeutic conization of CIN 3. It is important to understand the characteristics of treatment procedures and select an appropriate procedure for each case. For elderly or menopausal patients with positive margins, immediate additional treatment is recommended.

Utility of Comprehensive Serum Glycopeptide Spectra Analysis (CSGSA) for the Detection of Early Stage Epithelial Ovarian Cancer.

Comprehensive serum glycopeptide spectra analysis (CSGSA) evaluates >10,000 serum glycopeptides and identifies unique glycopeptide peaks and patterns via supervised orthogonal partial least-squares discriminant modeling. CSGSA was more accurate than cancer antigen 125 (CA125) or human epididymis protein 4 (HE4) for detecting early stage epithelial ovarian cancer. Combined CSGSA, CA125, and HE4 had improved diagnostic performance. Thus, CSGSA may be a useful screening tool for detecting early stage epithelial ovarian cancer.

Comprehensive Serum Glycopeptide Spectra Analysis Combined with Artificial Intelligence (CSGSA-AI) to Diagnose Early-Stage Ovarian Cancer.

Ovarian cancer is a leading cause of deaths among gynecological cancers, and a method to detect early-stage epithelial ovarian cancer (EOC) is urgently needed. We aimed to develop an artificial intelligence (AI)-based comprehensive serum glycopeptide spectra analysis (CSGSA-AI) method in combination with convolutional neural network (CNN) to detect aberrant glycans in serum samples of patients with EOC. We converted serum glycopeptide expression patterns into two-dimensional (2D) barcodes to let CNN learn and distinguish between EOC and non-EOC. CNN was trained using 60% samples and validated using 40% samples. We observed that principal component analysis-based alignment of glycopeptides to generate 2D barcodes significantly increased the diagnostic accuracy (88%) of the method. When CNN was trained with 2D barcodes colored on the basis of serum levels of CA125 and HE4, a diagnostic accuracy of 95% was achieved. We believe that this simple and low-cost method will increase the detection of EOC.

Comprehensive Serum Glycopeptide Spectra Analysis (CSGSA): A Potential New Tool for Early Detection of Ovarian Cancer.

OBJECTIVES: To conduct a comprehensive glycopeptide spectra analysis of serum between cancer and non-cancer patients to identify early biomarkers of epithelial ovarian cancer (EOC). METHODS: Approximately 30,000 glycopeptide peaks were detected from the digested serum glycoproteins of 39 EOC patients (23 early-stage, 16 advanced-stage) and 45 non-cancer patients (27 leiomyoma and ovarian cyst cases, 18 endometrioma cases) by liquid chromatography mass spectrometry (LC-MS). The differential glycopeptide peak spectra were analyzed to distinguish between cancer and non-cancer groups by employing multivariate analysis including principal component analysis (PCA), orthogonal partial least squares discriminant analysis (OPLS-DA) and heat maps. RESULTS: Examined spectral peaks were filtered down to 2281 serum quantitative glycopeptide signatures for differentiation between ovarian cancer and controls using multivariate analysis. The OPLS-DA model using cross-validation parameters R2 and Q2 and score plots of the serum samples significantly differentiated the EOC group from the non-cancer control group. In addition, women with early-stage clear cell carcinoma and endometriomas were clearly distinguished from each other by OPLS-DA as well as by PCA and heat maps. CONCLUSIONS: Our study demonstrates the potential of comprehensive serum glycoprotein analysis as a useful tool for ovarian cancer detection.

Aggressive Angiomyxoma of the Vulva with No Recurrence on a 5-year Follow up: A Case Report.

We report a case of vulvar aggressive angiomyxoma (AA) which is a rare, slow growing and benign tumor of mesenchymal origin, but has a high risk of local recurrence. A 49-year-old Japanese female was referred to us with a large mass of the left vulva, measuring 15×9.5×9 centimeters. She underwent surgical excision of the tumor with no evidence of recurrence on a 5-year follow up. In this case, histopathological examination and immunohistochemical staining after excision revealed a diagnosis of vulvar AA with estrogen and progesterone receptors positive. Aggressive angiomyxoma of the vulva needs to be distinguished from benign myxoid tumor with a low risk of local recurrence as well as from malignant neoplasma. The first line treatment of AA is complete surgical excision with tumor free margins, it will reduce the recurrence.