Dabao Xu

DNA methylation detection is a significant biomarker for screening endometrial cancer in premenopausal women with abnormal uterine bleeding

The aim of our study was to explore the value of DNA (CDO1m/CELF4m) methylation detection in exfoliated cervical cells collected for screening endometrial cancer in premenopausal women with abnormal uterine bleeding. A total of 296 premenopausal women with abnormal uterine bleeding admitted to the Department of Obstetrics and Gynecology at the Third Xiangya Hospital of Central South University from November 2021 to October 2022 were selected. Clinical characteristics, endometrial thickness measured by transvaginal ultrasound and serum CA125 were collected. Exfoliated cervical cells from the thinPrep cytogic test were collected for DNA (CDO1m/CELF4m) methylation testing. Endometrial tissue was collected under hysteroscopy for pathological diagnosis as the gold standard. A univariate logistic regression model was used to analyze risk factors for endometrial cancer. The receiver operating characteristic (ROC) curve and area under the curve (AUC) were used to measure the diagnostic efficacy of DNA methylation detection in endometrial cancer screening of women with abnormal uterine bleeding. Univariate logistic regression analysis showed that age, body mass index (BMI) ≥25 kg/m In premenopausal women with abnormal uterine bleeding, the clinical efficacy of DNA (CDO1m/CELF4m) methylation detection in exfoliated cervical cells for endometrial cancer screening was better than that of other noninvasive clinical indicators. In addition, dual gene methylation combined with BMI or endometrial thickness was a good predictor of endometrial cancer screening.

Comprehensive characterization of the alternative splicing landscape in ovarian cancer reveals novel events associated with tumor-immune microenvironment

Abstract Background: Ovarian cancer (OV) is a serious threat to women’s health. Immunotherapy is a new approach. Alternative splicing (AS) of messenger RNA (mRNA) and its regulation are highly relevant for understanding every cancer hallmark and may offer a broadened target space. Methods: We downloaded the clinical information and mRNA expression profiles of 587 tumor tissues from The Cancer Genome Atlas (TCGA) database. We constructed a risk score model to predict the prognosis of OV patients. The association between AS-based clusters and tumor-immune microenvironment features was further explored. The ESTIMATE algorithm was also carried out on each OV sample depending on the risk score groups. A total of three immune checkpoint genes that have a significant correlation with risk scores were screened. Results: The AS-events were a reliable and stable independent risk predictor in the OV cohort. Patients in the high-risk score group had a poor prognosis (P<0.001). Mast cells activated, NK cells resting, and Neutrophils positively correlated with the risk score. The number of Macrophages M1 was also more numerous in the low-risk score group (P<0.05). Checkpoint genes CD274, CTLA-4, and PDCD1LG2, showed a negative correlation with the risk score of AS in OV. Conclusions: The proposed AS signature is a promising biomarker for estimating overall survival (OS) in OV. The AS-events signature combined with tumor-immune microenvironment enabled a deeper understanding of the immune status of OV patients, and also provided new insights for exploring novel prognostic predictors and precise therapy methods.

The characteristics and risk factors of human papillomavirus infection: an outpatient population-based study in Changsha, Hunan

AbstractThis cross-sectional study investigated the characteristics of cervical HPV infection in Changsha area and explored the influence of Candida vaginitis on this infection. From 11 August 2017 to 11 September 2018, 12,628 outpatient participants ranged from 19 to 84 years old were enrolled and analyzed. HPV DNA was amplified and tested by HPV GenoArray Test Kit. The vaginal ecology was detected by microscopic and biochemistry examinations. The diagnosis of Candida vaginitis was based on microscopic examination (spores, and/or hypha) and biochemical testing (galactosidase) for vaginal discharge by experts. Statistical analyses were performed using SAS 9.4. Continuous and categorical variables were analyzed by t-tests and by Chi-square tests, respectively. HPV infection risk factors were analyzed using multivariate logistic regression. Of the total number of participants, 1753 were infected with HPV (13.88%). Females aged ≥ 40 to < 50 years constituted the largest population of HPV-infected females (31.26%). The top 5 HPV subtypes affecting this population of 1753 infected females were the following: HPV-52 (28.01%), HPV-58 (14.83%), CP8304 (11.47%), HPV-53 (10.84%), and HPV-39 (9.64%). Age (OR 1.01; 95% CI 1–1.01; P < 0.05) and alcohol consumption (OR 1.30; 95% CI 1.09–1.56; P < 0.01) were found to be risk factors for HPV infection. However, the presence of Candida in the vaginal flora was found to be a protective factor against HPV infection (OR 0.62; 95% CI 0.48–0.8; P < 0.001). Comparing with our previous study of 2016, we conclude that the subtype distribution of HPV infection is relatively constant in Changsha. Our data suggest a negative correlation between vaginal Candida and HPV, however, more radical HPV management is required in this area for perimenopausal women and those who regularly consume alcohol.

Single ectopic ureter opening into a vaginal cyst associated with multiple urogenital tract malformation: A rare case report

SynopsisThis case presented a unique report of single ectopic ureter opening into a vaginal cyst associated with multiple congenital abnormalities in a prepubertal girl.