CDC20 is a novel biomarker for improved clinical predictions in epithelial ovarian cancer.

Epithelial ovarian cancer (EOC), a common tumor of the female reproductive system, ranks first in fatalities among gynecological malignancies. Most patients find tumors at late stage and have extremely poor prognoses, which necessitates improvements in early detection. This study applied bioinformatic methods to identify potential biomarkers of EOC. First, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed on differentially expressed genes (DEGs) and hub genes, and a protein-protein interaction (PPI) network was constructed. The network of hub genes was analyzed using GeneMANIA, and an analysis of biological processes was constructed with BINGO. Lastly, hub genes were analyzed for EOC-related oncology using the Oncomine and TCGA databases, and the cBioPortal online platform. Overall, cell division cycle 20 (CDC20) was identified as a key gene in EOC. Short hairpin RNA (shRNA) was used to silence CDC20 to explore its effects on EOC cell proliferation, apoptosis and SRY-related HMG-box 2 (SOX2) expression. DEGs were enriched in pathways related to cell cycle signaling, cancer, progesterone-mediated oocyte maturation, Wnt signaling and P53 signaling. Analysis revealed high expression of CDC20 in EOC tissues and a correlation with histology and tumor grade. CDC20 levels are highest in serous adenocarcinoma, when compared to ovarian clear cell carcinoma, ovarian endometrioid carcinoma and mucinous adenocarcinoma. High CDC20 expression within the tumor is associated with poor EOC prognosis. After silencing CDC20, EOC cell proliferation and migration decreased, apoptosis increased, and SOX2 expression decreased. In conclusion, CDC20 is likely a key biomarker of EOC and may act as an upstream regulator of SOX2 to mediate the SOX2 signaling in the progression of EOC. Future application of CDC20 analysis to early detection may improve prognosis, and it has the potential to be a therapeutic target.

Efficacy and Safety of Prostatic Artery Embolization in the Treatment of High Risk Benign Prostatic Hyperplasia and its Influence on Postoperative Life Quality of Patients.

Objective: To evaluate the efficacy, safety and postoperative quality of life of high risk benign prostatic hyperplasia (BPH) patients treated with prostatic artery embolization. Methods: 34 patients with high-risk BPH were selectedfrom January 2020 to June 2021 in our hospital. All patients were treated with prostatic artery embolization. The changes of international prostate symptom score (IPSS), prostate volume (PV), remaining urine (RU), maximum urine flow rate (Qmax), quality of life scale -74(GQOLI-74), time to sleep without disturbance (HUS) judgment, self-rating anxiety scale (SAS) score and self-rating depression scale (SDS) were compared before operation, 1 month and 6 months after operation. Results: Prostatic artery embolization was successful in all 34 patients, including unilateral embolization in 15 patients and bilateral embolization in 19 patients. No severe complications occurred in the postoperative patients. The IPSS, PV and RU levels of the patient one month and six months after surgery were lower than those before surgery, while the Qmax level was higher than that before surgery. Besides, the IPSS, PV and RU levels six months after surgery were significantly lower than those one month after surgery, and the Qmax level was significantly higher than that one month after surgery (p < 0.05). The GQOLI-74 score six months after surgery was significantly higher than that before surgery (p < 0.05). The HUS of the patient six months after surgery was significantly increased, and the SAS and SDS scores were significantly decreased as compared with those before surgery (p < 0.05). Conclusion: For high-risk patients with BPH, prostate embolization is an effective and safe method, which can significantly improve the quality of life of patients after surgery and has good application prospects.

Development of a prognostic model of glioma based on immune-related genes.

Glioma is the most common type of primary brain cancer, and the prognosis of most patients with glioma, and particularly that of patients with glioblastoma, is poor. Tumor immunity serves an important role in the development of glioma. However, immunotherapy for glioma has not been completely successful, and thus, comprehensive examination of the immune-related genes (IRGs) of glioma is required. In the present study, differentially expressed genes (DEGs) and differentially expressed IRGs (DEIRGs) were identified using the edgeR package. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis was used for functional enrichment analysis of DEIRGs. Survival-associated IRGs were selected via univariate Cox regression analysis. A The Cancer Genome Atlas prognostic model and GSE43378 validation model were established using lasso-penalized Cox regression analysis. Based on the median risk score value, patients were divided into high-risk and low-risk groups for clinical analysis. Receiver operating characteristic curve and nomogram analyses were used to assess the accuracy of the models. Reverse transcription-quantitative PCR was performed to measure the expression levels of relevant genes, such as cyclin-dependent kinase 4 (CDK4), interleukin 24 (IL24), NADPH oxidase 4 (NOX4), bone morphogenetic protein 2 (BMP2) and baculoviral IAP repeat containing 5 (BIRC5). A total of 3,238 DEGs, including 1,950 upregulated and 1,288 downregulated DEGs, and 97 DEIRGs, including 60 upregulated and 37 downregulated DEIRGs, were identified. 'Neuroactive ligand-receptor interaction' and 'Cytokine-cytokine receptor interaction' were the most significantly enriched pathways according to KEGG pathway analysis. A prognostic model and a validation prognostic model were created for glioma, including 15 survival-associated IRGs (FCER1G, NOX4, TRIM5, SOCS1, APOBEC3C, BIRC5, VIM, TNC, BMP2, CMTM3, IL24, JAG1, CALCRL, HNF4G and CDK4). Furthermore, multivariate Cox regression analysis results suggested that age, high WHO Grade by histopathology, wild type isocitrate dehydrogenase 1 and high risk score were independently associated with poor overall survival. The infiltration of B cells, CD8+ T cells, dendritic cells, macrophages and neutrophils was positively associated with the prognostic risk score. In the present study, several clinically significant survival-associated IRGs were identified, and a prognosis evaluation model of glioma was established.

LncRNA SNHG20 predicts a poor prognosis and promotes cell progression in epithelial ovarian cancer.

The long noncoding RNA small nucleolar RNA host gene 20 (SNHG20) has been demonstrated to play a crucial role in cancer progression. However, the functions of SNHG20 in epithelial ovarian cancer (EOC) are not well established. The aim of the present study was to investigate SNHG20 clinical significance and its underlying mechanism in proliferation and metastasis in EOC. The expression level of SNHG20 was identified via in situ hybridization (ISH) and quantitative RT-PCR (qRT-PCR). The proliferative and metastatic capacities by silencing SNHG20 expression in A2780 and CAOV-3 cells were measured by cell counting kit-8 (CCK-8) and transwell assays. The molecular mRNA and protein expressions were examined using qRT-PCR, Western blot, and double immunofluorescent staining. SNHG20 expression was markedly higher in serous EOC tissues than that in adjacent tissues and closely correlated with histological grade and lymph node (LN) status. Patients with high SNHG20 showed a shorter overall survival (OS) and SNHG20 was an independent risk factor for the prognosis of serous EOC. Knockdown of SNHG20 remarkably inhibited EOC cell proliferation, migration, and invasion, which was associated with dysregulation of P21, Cyclin D1, E-cadherin, and Vimentin. These results suggest that SNHG20 may serve as an independent prognostic predictor and function as a noncoding oncogene in EOC progression, which might be a possible novel diagnostic marker and treatment target.

Diagnostic value of serum human epididymis protein 4 (HE4) in ovarian carcinoma: a systematic review and meta-analysis.

OBJECTIVE: Human epididymis protein 4 (HE4), a precursor of human epididymis protein, has been recently identified as a new promising serum biomarker for ovarian carcinoma. We performed a systematic review of studies that investigated the use of HE4 in the diagnosis of ovarian cancer in patients with pelvic or gynecological masses. We also evaluated the diagnostic performance of HE4 for differentiating between patients with benign gynecological disease and those with ovarian cancer. METHODS: We searched PubMed database (1990-2011) to collect articles in English that evaluated the diagnostic value of HE4 in patients with gynecological or pelvic masses. Two reviewers independently assessed the methodological quality of each study using the quality assessment of diagnostic accuracy studies tool. The data were analyzed using Meta-Disc1.4 software. Meta-analysis of the reported sensitivity and specificity of each study and summary receiver operating characteristic (SROC) curve were performed. RESULTS: A total of 9 studies involving 1807 women were included. When the control group was composed of healthy women, the pooled sensitivity and specificity for HE4 in diagnosing ovarian cancer were 83% (95% confidence interval [CI], 77%-88%) and 90% (95% CI, 87%-92%), respectively. The area under the SROC curve was 0.9271. When the control group was composed of women with benign disease, the pooled sensitivity and specificity for HE4 were 74% (95% CI, 69%-78%) and 90% (95% CI, 87%-92%). The area under the SROC curve was 0.8853. CONCLUSION: The current analysis indicated that HE4 may be a valuable marker in the diagnosis of ovarian carcinoma. Serum HE4 detection is not only a useful preoperative test for predicting the benign or malignant nature of pelvic masses but has a potential to be used as an initial step in ovarian cancer screening strategy.