We report a case involving an 85-year-old man who underwent laparoscopic radical prostatectomy for prostate cancer in 2011. During follow-up, he required long-term use of a penile clamp to manage urination due to permanent severe stress incontinence. In February 2023, he presented with a painless cystic mass in the scrotum. Upon pressing the mass with hand, fluid drained from the external urethral orifice, causing the mass to shrink in size, although it returned to its original size a few hours later. Urography and cystoscopy showed a globular urethral diverticulum located anteriorly. The patient underwent surgical excision of the diverticulum along with urethroplasty. Postoperatively, the urinary stress incontinence persisted, but he declined any further surgical intervention. An artificial urinary sphincter is currently the first-line treatment for male urinary incontinence. However, devices such as penile clamps can serve as an alternative when considering surgical suitability or cost. It is important to note that these devices can lead to serious complications such as urethral erosion, stricture, or diverticulum. Therefore, caution is advised when using such devices, and they should be removed periodically at short intervals.
Humans ; Male ; Diverticulum/surgery* ; Prostatectomy/adverse effects* ; Aged, 80 and over ; Urethral Diseases/surgery* ; Urinary Incontinence/surgery* ; Urinary Incontinence, Stress/surgery*

Objective To explore the mechanism of TPT1-AS1 targeting miR-324/TWIST1 axis to regulate the proliferation, invasion, migration and angiogenesis of epithelial ovarian cancer (EOC) cells, thereby affecting ovarian cancer (OC) progression. Methods RT-qPCR was used to detect the expression of TPT1-AS1 and miR-324 in 29 OC lesions and adjacent tissue samples. The two OC cell models of TPT1-AS1 overexpression and miRNA324 knockdown were constructed, and the cell proliferation, invasion and migration abilities were detected by CCK-8, Transwell^TM and scratch test. Western blot analysis was used to detect the protein expression levels of TWIST1, epithelial cadherin (E-cadherin), Vimentin, and vascular endothelial growth factor A (VEGF-A) in OC cells. Fluorescence in situ hybridization (FISH) and RNA pull-down experiments were used to verify the interaction between TPT1-AS1 and miR-324. Immunohistochemistry and Targetscan bioinformatics analysis were used to verify the negative regulatory role of miR-324 in the epithelial-mesenchymal transition (EMT) process. Results The TPT1-AS1 expression was significantly higher in OC tissues than that in para-cancerous tissues, while the miR-324 expression was significantly lower. In SKOV3 cells with TPT1-AS1 overexpression, the miR-324 expression decreased significantly, and TPT1-AS1 was negatively correlated with miR-324. It was also found that TPT1-AS1 and miR-324 were co-expressed in OC cells, and there was a direct binding relationship between them. Down-regulation of miR-324 significantly promoted the proliferation, invasion and migration of SKOV3 cells. Further studies revealed that miR-324 had a binding site at the 3'-UTR end of the TWIST1, a key transcription factor for EMT. Inhibiting miR-324 expression increased the transcription level of TWIST1, leading to a decrease in E-cadherin protein expression and an increase in Vimentin protein expression. Additionally, the downregulation of miR-324 resulted in an increased expression level of VEGF-A protein, which in turn enhanced angiogenesis of OC. Conclusion TPT1-AS1 promotes EOC cell proliferation, invasion, migration and angiogenesis by negatively regulating the miR-324/TWIST1 axis, thus promoting the development of OC. These findings provide new potential targets for the diagnosis and treatment of OC.
Humans ; MicroRNAs/metabolism* ; Female ; Cell Movement/genetics* ; Ovarian Neoplasms/blood supply* ; Twist-Related Protein 1/metabolism* ; Cell Line, Tumor ; Neovascularization, Pathologic/genetics* ; Neoplasm Invasiveness ; Carcinoma, Ovarian Epithelial/metabolism* ; Nuclear Proteins/metabolism* ; Cell Proliferation/genetics* ; Epithelial-Mesenchymal Transition/genetics* ; Gene Expression Regulation, Neoplastic ; RNA, Long Noncoding/metabolism* ; Cadherins/genetics* ; Vascular Endothelial Growth Factor A/genetics* ; Vimentin/genetics* ; Angiogenesis

Objective To explore the expression levels of CD33⁺ myeloid-derived suppressor cell (MDSC)-mediated T lymphocyte function and related inflammatory factors secreted by T lymphocyte subsets in patients with cervical cancer, and to analyze their correlation with the treatment efficacy of ¹²⁵I particle implantation combined with arterial chemoembolization, as well as predictive value for treatment outcomes and interaction effects. Methods From January 1st, 2021 to January 1st, 2024, our hospital admitted 152 patients with advanced cervical cancer, who were confirmed by pathological examination. All patients received uterine artery chemoembolization combined with ¹²⁵I particle implantation. The predictive value of CD33⁺MDSC levels for clinical treatment response in cervical cancer was assessed using receiver operating characteristic (ROC) curve analysis. Multivariate logistic regression analysis was performed to evaluate both multiplicative and additive interactions between CD33⁺MDSC and T lymphocytes in predicting clinical treatment failure of cervical cancer. Kaplan Meier method was used to analyze the survival differences between cervical cancer patients with high and low CD33⁺MDSC expression levels. Results Compared with the effective group, patients in the ineffective group had decreased expression levels of CD3⁺ T lymphocyte, CD4⁺ T lymphocyte, interleukin 2 (IL-2) and interferon γ (IFN-γ), while showing increased expression levels of CD33⁺MDSC, CD8⁺ T lymphocyte, IL-4 and IL-6, along with increased tumor necrosis factor α (TNF-α) levels, larger maximum tumor diameters, and a higher incidence of lymph node metastasis. The expression levels of CD33⁺MDSCs demonstrated good predictive performance for treatment efficacy in cervical cancer patients. The high CD33⁺MDSC expression group had a significantly shorter overall survival (OS) than the low CD33⁺MDSC expression group (6.0±1.0 months vs. 12.0±1.2 months; t=33.280). The interaction analysis revealed that CD33⁺MDSCs and CD8⁺ T lymphocytes were highly expressed, while CD3⁺ and CD4⁺ T lymphocytes were lowly expressed, which was associated with an increased risk of clinical treatment failure in cervical cancer patients. Conclusion CD33⁺MDSCs can inhibit CD3⁺ and CD4⁺ T lymphocytes. It can upregulate the expression of CD8⁺ T lymphocytes, form an immunosuppressive microenvironment, and reduce the treatment response rate of ¹²⁵I particle implantation combined with arterial chemoembolization. CD33⁺MDSCs may serve as an independent biomarker for predicting the therapeutic efficacy and poor prognosis.
Humans ; Female ; Uterine Cervical Neoplasms/immunology* ; Middle Aged ; Chemoembolization, Therapeutic/methods* ; Sialic Acid Binding Ig-like Lectin 3/immunology* ; Adult ; T-Lymphocytes/immunology* ; Aged ; Treatment Outcome

OBJECTIVES: To investigate the clinical sub-phenotype (SP) of pediatric acute kidney injury (AKI) and their association with clinical outcomes. METHODS: General status and initial values of laboratory markers within 24 hours after admission to the pediatric intensive care unit (PICU) were recorded for children with AKI in the derivation cohort (n=650) and the validation cohort (n=177). In the derivation cohort, a least absolute shrinkage and selection operator (LASSO) regression analysis was used to identify death-related indicators, and a two-step cluster analysis was employed to obtain the clinical SP of AKI. A logistic regression analysis was used to develop a parsimonious classifier model with simplified metrics, and the area under the curve (AUC) was used to assess the value of this model. This model was then applied to the validation cohort and the combined derivation and validation cohort. The association between SPs and clinical outcomes was analyzed with all children with AKI as subjects. RESULTS: In the derivation cohort, two clinical SPs of AKI (SP1 and SP2) were identified by the two-step cluster analysis using the 20 variables screened by LASSO regression, namely SP_d1 group (n=536) and SP_d2 group (n=114). The simplified classifier model containing eight variables (P<0.05) had an AUC of 0.965 in identifying the two clinical SPs of AKI (P<0.001). The validation cohort was clustered into SP_v1 group (n=156) and SP_v2 group (n=21), and the combined derivation and validation cohort was clustered into SP1 group (n=694) and SP2 group (n=133). After adjustment for confounding factors, compared with the SP1 group, the SP2 group had significantly higher incidence rates of multiple organ dysfunction syndrome and death during the PICU stay (P<0.001), and SP2 was significantly associated with the risk of death within 28 days after admission to the PICU (P<0.001). CONCLUSIONS This study establishes a parsimonious classifier model and identifies two clinical SPs of AKI with different clinical features and outcomes.The SP2 group has more severe disease and worse clinical prognosis.
Humans ; Acute Kidney Injury/diagnosis* ; Prognosis ; Male ; Female ; Child ; Child, Preschool ; Phenotype ; Infant ; Logistic Models ; Adolescent

OBJECTIVES: To analyze the global disease burden of cervical cancer and the association between screening coverage and the quality of disease management. METHODS: The data of global burden of cervical cancer 2021 and the data of cervical cancer screening 2019 were obtained from IHME Global Burden of Disease (GBD) and the WHO global health observatory, respectively. The age-standardized disease burden index was calculated, the quality of care index (QCI) was determined with principal component analysis, and the correlation between QCI and cervical cancer screening coverage was examined with linear regression analysis by regions and populations. RESULTS: The burden of cervical cancer and the quality of management exhibited significant variability across countries with differing levels of social development. The indicators of cervical cancer burden in China were close to the average level of countries with higher socio-demographic index (SDI). The global QCI was 22.22 (10.50, 35.43), and that of China was 26.30. The global screening coverage rate for cervical cancer was 42% (12%, 86%) and that in China was 31%. After adjusting for the social development level of countries, the coverage level of cervical cancer screening was associated with QCI (β=0.27, P<0.01), with no difference between low and high SDI countries (P>0.05). The association was significantly stronger among 25-30 years old women (β=1.48, P<0.05). CONCLUSIONS There are discrepancies in both the disease burden of cervical cancer and the quality of disease management among countries with different socioeconomic levels, and there is still considerable room for improvement in China. Expanding coverage of cervical cancer screening may be an effective strategy to enhance the management quality of cervical cancer, particularly among younger women where the screening benefits are most pronounced.
Humans ; Uterine Cervical Neoplasms/prevention & control* ; Female ; Early Detection of Cancer ; Global Burden of Disease ; China/epidemiology* ; Mass Screening ; Quality of Health Care ; Disease Management ; Adult ; Middle Aged

Congenital lower urinary tract obstruction (CLUTO) is a spectrum of fetal malformations caused by anatomical abnormalities of the urethra, characterized by high rates of perinatal complications and mortality. The 2024 joint guideline from the European Association of Urology (EAU) and the European Society for Paediatric Urology (ESPU) introduced systematic revisions to the comprehensive management of CLUTO. Key updates encompass advancements in prenatal and postnatal screening and precise diagnosis, refined fetal prognosis assessment, clearer indications and modality selection for prenatal intervention, optimization of postnatal treatment strategies, and the establishment of a lifelong follow-up framework within an integrated care pathway. This article elucidates these key updates by comparing the 2024 EAU/ESPU guideline with the 2022 European Rare Kidney Disease Reference Network (ERKNet) consensus. It also discusses ongoing controversies and future research directions. The aim is to provide clinicians with the latest evidence-based insights to inform practice, ultimately improving outcomes and quality of life for children with CLUTO.
Humans ; Urology ; Female ; Urethral Obstruction/therapy* ; Pregnancy ; Child ; Europe ; Prenatal Diagnosis ; Infant, Newborn ; Urethra/abnormalities*

BACKGROUND: Hyperthermia (HT), while a cancer treatment approach, isn't always effective alone. Therefore, identifying hyperthermia enhancers is crucial. We demonstrated that Mito-TEMPO ([2-[(1-Hydroxy-2,2,6,6-tetramethylpiperidin-4-yl) amino]-2-oxoethyl]-triphenylphosphanium, MT) acts as a potent thermosensitizer, promoting cell death in human cervical cancer (HeLa) cells. METHODS: Cells were pretreated with 0.4 mM MT for 5 minutes, followed by exposure to hyperthermia (42 °C for 60 minutes). The impacts of MT/HT on cell viability, proliferation, apoptosis, endoplasmic reticulum (ER) stress, apoptosis-related proteins and autophagy, autophagy-related proteins expression were measured. The relationships between autophagy and apoptosis were further investigated using the specific autophagy inhibitor chloroquine (CQ) and the autophagy inducer rapamycin (Rapa). RESULTS: The combined treatment reduced the mitochondrial membrane potential (MMP) and increased ROS production. It also upregulated the pro-apoptotic protein Bax and downregulated anti-apoptotic proteins such as Bcl-2 and MCL-1. As a result, Caspase-3 was activated. Additionally, the combined treatment upregulated the expression of p-PERK/PERK, ATF-4, CHOP proteins. Moreover, the combined treatment also increased the expression of LC3 II and p62, decreased expression of LAMP 1 and Cathepsin D and increased lysosomal pH, indicating coordinated changes in autophagy regulation. Notably, intensification of apoptosis induced by the combined treatment was observed with CQ, whereas attenuation was seen with Rapa. CONCLUSIONS MT effectively enhanced HT-induced apoptosis in HeLa cells. Elevated ER stress and interruption of autophagy flux are the possible underlying molecular mechanisms for this phenomenon. These findings suggested MT can act as a potential thermosensitizer, highlighting its versatility in cancer treatment strategies.
Humans ; Apoptosis/drug effects* ; Autophagy/drug effects* ; HeLa Cells ; Uterine Cervical Neoplasms/therapy* ; Female ; Hyperthermia, Induced ; Spin Labels ; Endoplasmic Reticulum Stress/drug effects* ; Cyclic N-Oxides/pharmacology* ; Cell Survival/drug effects*

OBJECTIVES: Ovarian cancer is a common gynecologic malignancy, with poor prognosis in advanced stages. This study aimed to identify differentially expressed long noncoding RNA (lncRNA) associated with ovarian cancer prognosis and to explore the effects of lncRNA RP11-499E18.1 on the malignant biological behavior of ovarian cancer cells. METHODS: Ovarian cancer-related lncRNA datasets were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed and prognostically relevant tumor-suppressive lncRNAs were screened using lncRNA sequencing combined with clinical data. Reverse transcription PCR (RT-PCR) was used to detect the expression of lncRNA RP11-499E18.1 in ovarian cancer tissues, adjacent normal tissues, the IOSE80 normal ovarian epithelial cell line, and various ovarian cancer cell lines. Fluorescence in situ hybridization (FISH) was performed to determine its subcellular localization. Ovarian cancer cell lines CaOV3 and SKOV3 were divided into 3 groups: a negative control (NC) group, a knockdown (si-RP11-499E18.1) group, and a overexpression (pcDNA-RP11-499E18.1) group. Methyl thiazolyl tetrazolium (MTT) and Transwell assays were used to assess the effects of lncRNA RP11-499E18.1 on cell proliferation and migration. Western blotting was used to evaluate its effect on epithelial-mesenchymal transition (EMT)-related molecules. BALB/c nude mice were injected with CaOV3 cells transfected with pcDNA-RP11-499E18.1 (experimental group) or empty vector (control group), and tumor growth was monitored. Immunohistochemistry was used to assess the expression of Caspase 3 and Ki67 in tumor tissues. RESULTS: LncRNA sequencing identified RP11-499E18.1 as a differentially expressed and associated with prognosis. GEO data analysis showed that low RP11-499E18.1 expression was correlated with shorter overall and progression-free survival (both P<0.05). Its expression was significantly lower in ovarian cancer tissues and cell lines compared to normal controls (P<0.05 or P<0.001), and it was localized in both the nucleus and cytoplasm. In CaOV3 and SKOV3 cells, proliferation rates increased significantly in the si-RP11-499E18.1 group and decreased in the pcDNA-RP11-499E18.1 group (P<0.05 or P<0.001). Cell migration was enhanced in the si-RP11-499E18.1 group and suppressed in the pcDNA-RP11-499E18.1 group. Overexpression increased E-cadherin and decreased vimentin expression, while knockdown had the opposite effect. Tumor volume in the mouse model was significantly smaller in the experimental group (P<0.001), with increased Caspase 3 and decreased Ki67 expression in tumor tissues (both P<0.05). CONCLUSIONS LncRNA RP11-499E18.1 inhibits proliferation, migration, and EMT of ovarian cancer cells, and its low expression is associated with poor prognosis.
Female ; Humans ; RNA, Long Noncoding/physiology* ; Ovarian Neoplasms/pathology* ; Cell Line, Tumor ; Animals ; Mice ; Mice, Nude ; Cell Proliferation ; Prognosis ; Mice, Inbred BALB C ; Gene Expression Regulation, Neoplastic ; Cell Movement ; Epithelial-Mesenchymal Transition

OBJECTIVES: Wild-caught Microtus fortis (M. fortis) at the age of 9-15 months can develop epithelial ovarian cancers similar to human epithelial ovarian cancers under natural conditions during experimental animal breeding, but its pathological types and biological characteristics remain unclear. This study aims to analyze the biological characteristics of spontaneous ovarian cancer in M. fortis, intending to develop M. fortis as an animal model for human epithelial ovarian cancer. METHODS: The female M. fortis (9-15 months old) with spontaneous ovarian cancer were selected as the experimental group, and healthy M. fortis from the same litter were selected as the control group. The ovarian pathological changes of the two groups were observed by dissection. Blood routine and biochemical indicators were measured by biochemical analysis. Hematoxylin and eosin (HE) staining was performed to observe the pathological changes in the ovarian cancer tissue of M. fortis. Immunohistochemical staining was used to detect the protein expression of common ovarian cancer markers, and real-time RT-PCR was used to analyze the transcription levels of ovarian cancer-related genes. RESULTS: Spontaneous ovarian cancer in M. fortis mainly affects both ovaries, with tumors appearing solid or cystic. HE staining and histopathological analysis confirmed that the ovarian tumors originated from ovarian surface epithelium. Compared to the control group, the experimental group showed significantly decreased hemoglobin (P<0.01), hematocrit (P<0.05), albumin (P<0.05), and blood glucose levels (P<0.01), while lymphocyte percentage (P<0.05), monocyte percentage (P<0.05), cholesterol (P<0.01), and progesterone (P<0.01) levels were significantly increased. Expression of ovarian cancer-related genes, including ID3, CDC42, RHOA, RB1CC1, NF1, PIN1, MIB1, PDS5A, MCM7, and MLH1, was significantly downregulated (all P<0.05), while PAX8 gene expression was significantly upregulated (P<0.05). Immunohistochemical results showed that Wilms' tumor gene 1 (WT1) protein was mainly distributed throughout the cell, with significantly higher expression in ovarian cancer M. fortis. Tumor protein 53 (TP53) was expressed in both healthy and ovarian cancer M. fortis and was distributed throughout the cell. Hepatocyte nuclear factor 1 beta (HNF1B) and progesterone receptor (PR) protein were highly expressed in the ovarian tissue of healthy M. fortis but were significantly reduced in the ovarian cancer M. fortis, though both were located in the cytoplasm. CONCLUSIONS Spontaneous ovarian cancer in M. fortis is serous ovarian cancer. Compared to healthy M. fortis, significant differences were observed in ovarian tissue morphology, biochemical indicators, ovarian cancer-related gene expression, and protein expression, which show similarity to the biological characteristics of human serous ovarian cancer. This suggests that M. fortis could be an ideal animal model for studying human serous ovarian cancer.
Female ; Ovarian Neoplasms/metabolism* ; Animals ; Carcinoma, Ovarian Epithelial ; Disease Models, Animal ; Humans ; Neoplasms, Glandular and Epithelial/metabolism* ; Ovary/pathology*

OBJECTIVES: Renal cell carcinoma (RCC) is a malignant renal tumor that poses a significant threat to patient health. Accurate preoperative pathological grading plays a crucial role in determining the appropriate treatment for this disease. Currently, deep learning technology has become an important method for pathological grading of RCC. However, existing methods primarily rely on single-phase computed tomography (CT) imaging for analysis and prediction, which has limitations such as missing small lesions, one-sided evaluation, and local focusing issues. Therefore, this study proposes a multi-modal deep learning algorithm that integrates multi-phase enhanced CT images with clinical variable data, aiming to provide a basis for predicting the pathological grading of RCC. METHODS: First, the algorithm took four-phase enhanced CT images from the plain scan, arterial phase, venous phase, and delayed phase, along with clinical variables, as inputs. Then, an embedding encoding module was used to extract heterogeneous information from the clinical variables, and a 3-dimensional (3D) ResNet50 model was employed to capture spatial information from the multi-phase enhanced CT image data. Finally, a Fusion module deeply integrated the feature information from clinical variables and each phase's CT image features, further utilizing a cross-self-attention mechanism to achieve multi-phase feature fusion. This approach comprehensively captures the deep semantic information from the patient data, fully leveraging the complementary advantages of multi-modal and multi-phase data. To validate the effectiveness of the proposed method, a total of 1 229 RCC patients were approved by ethics review were included to train the model. RESULTS: Experimental results demonstrated superior performance compared to traditional radiomics and state-of-the-art deep learning methods, achieving an accuracy of 83.87%, a recall rate of 95.04%, and an F1-score of 82.23%. CONCLUSIONS The proposed algorithm exhibits strong stability and sensitivity, significantly enhancing the predictive performance of RCC pathological grading. It offers a novel approach for accurate RCC diagnosis and personalized treatment planning.
Humans ; Carcinoma, Renal Cell/pathology* ; Deep Learning ; Kidney Neoplasms/diagnostic imaging* ; Tomography, X-Ray Computed/methods* ; Algorithms ; Neoplasm Grading ; Male ; Female ; Middle Aged