Objective. The purpose was to compare the accuracy of extraprostatic extension (EPE) grade on MRI predicting EPE with Partin tables, Memorial Sloan Kettering Cancer Center nomogram (MSKCCn), and combined models and to analyze the clinical incremental value of EPE grade. Materials and Methods. 105 prostate cancer patients confirmed by pathology after radical prostatectomy in our hospital from 2017 to 2021 were selected. The clinical stage, PSA, Gleason score, number of positive biopsy cores, and percentage of positive biopsy cores were recorded. Evaluate EPE grade according to EPE grade criteria, and calculate the probability of predicting EPE with Partin tables and MSKCCn. EPE grade is combined with Partin tables and MSKCCn to construct EPE grade+Partin tables and EPE grade+MSKCCn models. Calculate the area under the curve (AUC), sensitivity, and specificity of EPE grade, Partin tables, MSKCCn, EPE grade+Partin tables, and EPE grade+MSKCCn and compare their diagnostic efficacy. The clinical decision curve was used to analyze the clinical net income of each prediction scheme. Results. The AUC of EPE grade was 0.79, Partin tables was 0.50, MSKCCn was 0.78, the EPE grade+Partin table model was 0.79, and the EPE grade+MSKCCn model was 0.83. After EPE grade was combined with Partin tables and MSKCCn, the diagnostic efficiency of clinical model was significantly improved ( P < 0.05 ). There was no significant difference in the diagnostic efficacy of the combined model compared with the single EPE grade ( P > 0.05 ). The calibration curve of the combined model shows that it has a good calibration degree for EPE. In the analysis of the decision curve, the net income of the EPE grade is higher than that of Partin tables and MSKCCn and is equal to the EPE grade+Partin tables and is slightly lower than that of EPE grade+MSKCCn. The clinical net income of the combined model is obviously higher than that of individual clinical models. Conclusion. The accuracy of EPE classification in predicting prostate cancer EPE is high, and combined with the clinical model, it can significantly improve the diagnostic efficiency of the clinical model and increase the clinical benefit.
Primary vaginal cancer is rare, accounting for only 2% of all gynecological malignant tumors. Primary vaginal cell carcinoma is mainly squamous cell carcinoma, accounting for about 90%, and adenocarcinoma only accounts for 8–10%. Primary signet ring cell carcinoma (SRCC) of vagina is rare and has not been reported in the literature. This paper reports a case of SRCC in vagina.
Prostate cancer is one of the leading causes of death in men all over the world. Treatment options such as androgen ablation therapy and cytotoxic agents have many undesirable side effects, narrow therapeutic windows, or other limitations. In this research, we have explored the effects of paeonol on prostate cancer and its mechanism of action. Our results have shown that paeonol reduced the viability of prostate cancer cells in a dose-dependent manner. The wound-healing assay, a surrogate marker of tumor metastasis, showed that the relative wound width of 10 µM group was less than that of 50 µM paeonol-treated cells. Besides, the results of the transwell assay also showed that the number of migrated cells was significantly lower after treatment with 50 µM paeonol compared to the 10 µM group. The Western blot results showed that paeonol treatment induced a decrease in the mesenchymal markers (vimentin and N-cadherin), while the epithelial marker (E-cadherin) increased in a dose-dependent manner suggesting that paeonol effectively inhibits the epithelial-mesenchymal transformation in PC3 cells. Furthermore, the expression of STAT3 and p-STAT3 was also decreased after paeonol treatment, which indicated that the STAT3 signaling pathway was inhibited by paeonol. To conclude, the results summarized in this paper suggest that paeonol could be a potential candidate in the treatment of prostate cancer.
Purpose: To determine the effect of Deltex E3 Ubiquitin Ligase 3L (DTX3L) on the radioresistance of prostate cancer (PCa).Methods: A PCa cell model of radioresistance was established via exposure of cancer cell lines to fractionated radiation. The MTT {(3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide)} assay and western blotting were performed to evaluate the impact of DTX3L on cell survival and DNA damage repair. The molecular mechanism of action was evaluated by western blotting.Results: DTX3L was elevated in PCa cell lines compared with normal primary prostate epithelial cells (p < 0.01). The survival of PCa cells exposed to radiation was promoted by overexpression of DTX3L, while knockdown of DTX3L abrogated the radioresistance. Moreover, overexpression of DTX3Ldecreased phosphorylation of histone H2AX (γH2AX) and increased Rad51 levels (p < 0.01). However, knockdown of DTX3L reversed the accumulation of γH2AX and Rad51. Phosphorylation of AKT was promoted by DTX3L overexpression, but was reduced by DTX3L knockdown (p < 0.01). Inhibition of AKT (protein kinase B) counteracted the promotion ability of DTX3L on the radioresistance of PCa cells via decreased cell survival ratio, and also inhibited DNA damage repair via accumulation of γ-H2AX and depletion of Rad51 (p < 0.01).Conclusion: DTX3L increases the resistance of prostate cancer to radiotherapy and DNA damage repair in PCa via AKT pathway, indicating a potential therapeutic strategy to overcome radioresistance in PCa. Keywords: DTX3L (Deltex E3 Ubiquitin Ligase 3L), DNA damage, Phosphorylation, Radioresistance, AKT, Protein kinase B, Prostate cancer
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.