Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 115 - 131
Published: Oct. 25, 2024
Language: Английский
European journal of medical research, Journal Year: 2024, Volume and Issue: 29(1)
Published: April 30, 2024
Abstract Background This study aimed to explore the expression, molecular mechanism and its biological function of potassium two pore domain channel subfamily K member 1 (KCNK1) in bladder cancer (BC). Methods We integrated large numbers external samples (n = 1486) assess KCNK1 mRNA expression levels collected in-house 245) for immunohistochemistry (IHC) experiments validate at protein level. Single-cell RNA sequencing (scRNA-seq) analysis was performed further cellular communication. The transcriptional regulatory mechanisms were explored by ChIP-seq, ATAC-seq ChIA-PET data. Highly expressed co-expressed genes (HECEGs) used potential signalling pathways. Furthermore, immunoassay, clinical significance docking calculated. Results significantly overexpressed BC (SMD 0.58, 95% CI [0.05; 1.11]), validated level (p < 0.0001). Upregulated exhibited highly distinguishing ability between control (AUC 0.82 [0.78–0.85]). Further, scRNA-seq revealed that predominantly clustered epithelial cells tended increase with differentiation. involved communication mainly through MK pathway. Secondly, transcription start site (TSS) showed promoter-enhancer interactions three-dimensional space, while being transcriptionally regulated GRHL2 FOXA1. Most HECEGs enriched cell cycle–related metabolism–related pathways membrane activity. associated infiltration various immune cells. Immunotherapy chemotherapy (docetaxel, paclitaxel vinblastine) more effective patients high group. correlated age, pathology grade pathologic_M patients. Conclusions BC. A complex sophisticated spatial network existed TSS promoted upregulated expression. might be cycle, metabolism, tumour microenvironment regulation channels, ultimately contributed deterioration
Language: Английский
Citations
5
Cancer Reports, Journal Year: 2025, Volume and Issue: 8(2)
Published: Feb. 1, 2025
Bladder carcinoma (BC) is the most prevalent malignancy of urinary system. These cancers are primarily seen in adults > 60 years old and mostly present with microscopic or frank hematuria obstruction However, these rare can be found hernias. This report discusses a rare, localized bladder urothelial (UC) manifestation. The patient had presented lower abdominal pain several times. no accurate diagnosis was made due to unspecified features. After being referred radiologic evaluation ultrasonography, hernia detected entering wall, it contained an unusual mass. Further evaluations revealed malignant feature tumor. wall replaced, TURP procedure performed. resulting sample showed UC without involvement muscle layer. One common malignancies urogenital reproductive systems male patients BCs. They commonly men older than history smoking. manifestations cancer macroscopic hematuria, obstruction, pain. A but previously reported location within inguinal this not always straightforward, delays result spread transition patient's clinical condition poorer prognosis. presentation accompanied by typical symptoms such as obstruction. Patients persistent should evaluated rule out malignancy. tumors might hidden hernias, more accuracy demanded for their diagnosis.
Language: Английский
Citations
0
Translational Oncology, Journal Year: 2025, Volume and Issue: 54, P. 102349 - 102349
Published: March 11, 2025
Language: Английский
Citations
0
Nutrition and Cancer, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 12
Published: April 8, 2025
Evidence regarding the association between tea consumption and bladder cancer (BC) risk is inconsistent. This study aimed to increase our knowledge of by using international data from Bladder Cancer Epidemiology Nutritional Determinants Consortium. Individual on 2,347 cases 6,871 controls 15 case-control studies with information black, green, herbal, or general was pooled. The estimated multilevel multivariable logistic regression analysis adjusted for multiple (non-)dietary factors. Association BC observed (odds ratio, OR = 0.72, 95% confidence interval, CI 0.65-0.80) compared non-tea drinkers. Stratified analyses based gender smoking status yielded similar results. showed no significant black green across models, while herbal linked a reduced (OR 0.59, 0.36-0.96). As daily increased within suitable range (<5.67 cups/day), decreased. Camellia sinensis risk, inversely incidence. Despite some findings in selected strata, further are required clarify underlying mechanisms.
Language: Английский
Citations
0
Journal of Clinical Medicine, Journal Year: 2025, Volume and Issue: 14(11), P. 3664 - 3664
Published: May 23, 2025
Background: Proteins with different functions, such as Hepatocyte growth factor activator inhibitor type 1 (HAI-1), Stathmin (STMN-1), and Tenascin C (TN-C), whose activity has been observed in various types of cancers, inspired our study bladder cancer (BC) patients. The aim the was to evaluate selected parameters their combinations diagnosis BC. took into account degree invasiveness malignancy Based on analysis Receiver Operating Characteristic Curve (ROC), diagnostic value single potential indicators BC assessed. Patients Methods: research material consisted urine samples from patients BC, a control group without urological diseases. concentrations examined were measured using an immunoenzymatic method. Results: Statistically significant higher HAI-1 (p ≤ 0.001), STMN-1 (≤0.001) TN-C (0.002) found compared group. Strong relationships shown between these parameters. ROC analyses showed that best parameter for detecting is STMN-1, combination HAI-1+STMN-1. highest obtained HAI-1+STMN-1 high (sensitivity 82%, specificity 91%). Conclusions: Preliminary studies have utility markers especially However, learn more about contribution progression cancer, it would be appropriate continue studies.
Language: Английский
Citations
0
Journal of Clinical Medicine, Journal Year: 2024, Volume and Issue: 13(5), P. 1305 - 1305
Published: Feb. 25, 2024
Mutations of fibroblast growth factor receptor 3 (
Language: Английский
Citations
3
Medicine, Journal Year: 2024, Volume and Issue: 103(14), P. e37590 - e37590
Published: April 5, 2024
Background: 5-Methylcytidine (m5C) methylation is a recently emerging epigenetic modification that closely related to tumor proliferation, occurrence, and metastasis. This study aimed investigate the clinicopathological characteristics prognostic value of m5C regulators in bladder cancer (BLCA), their correlation with immune microenvironment. Methods: Thirteen RNA were analyzed using RNA-sequencing corresponding clinical information obtained from TCGA database. The Cluster Profiler package was used analyze gene ontology function potential targets enriched Kyoto Encyclopedia Genes Genomes pathway. Kaplan–Meier survival analysis compare differences log-rank test univariate Cox proportional hazards regression. between signature various cells analyzed. Univariate multivariate regression analyses identified independence ALYREF signature. Results: Nine out 13 differentially expressed BLCA normal samples co-expressed. These 9 associated characteristics, particularly high or low risk, pT pTNM stage, migration. Consensus clustering divides into 4 clusters. (KEGG) pathway enrichment annotation 273 upregulated 594 downregulated genes BLCA. Notably, only significantly correlated OS ( P < .05). exhibited significant infiltration levels macrophage cells. Therefore, we constructed nomogram for as an independent factor. Additionally, observed both mRNA protein upregulated, immunofluorescence showed mainly distributed nuclear speckles. overexpression poor OS. Conclusion: Our findings demonstrated predict risks patients regulate As such, may serve novel indicator patients.
Language: Английский
Citations
3
PLoS ONE, Journal Year: 2024, Volume and Issue: 19(6), P. e0305252 - e0305252
Published: June 10, 2024
Renal cell carcinoma (RCC), accounting for 90% of all kidney cancer, is categorized into clear RCC (ccRCC) and non-clear (non-ccRCC) treatment based on the current NCCN Guidelines. Thus, classification will be associated with therapeutic implications. This study aims to identify novel biomarkers differentiate ccRCC from non-ccRCC using bioinformatics machine learning. The gene expression profiles subtypes (including papillary (pRCC) chromophobe (chRCC)), were obtained TCGA. Differential genes (DEGs) identified, specific DEGs explored a Venn diagram. Gene Ontology pathway enrichment analysis performed DAVID. top ten expressed in then selected learning analysis. Feature selection was operated minimum highly effective set constructing predictive model. best-performing validated tissue samples patients immunohistochemistry techniques. Subsequently, models diagnosing developed H-scores. There 910, 415, 835 significantly ccRCC, pRCC, chRCC, respectively. Specific enriched PD-1 signaling, immune system, cytokine signaling whereas TCA cycle respiratory, by insulin receptor, metabolism chRCC. Decision Tree Classifier revealed that model two genes, including NDUFA4L2 DAT, had an accuracy 98.89%. Supervised H-score NDUFA4L2, DAT showed best performance 82% 0.9 AUC. lymphovascular invasion, pathologic stage pT ccRCC. Using integrated analysis, identified as differential diagnosis non-ccRCC.
Language: Английский
Citations
3
Minerva Urology and Nephrology, Journal Year: 2024, Volume and Issue: 76(3)
Published: June 1, 2024
INTRODUCTION: Artificial intelligence and machine learning are the new frontier in urology; they can assist diagnostic work-up prognostication bring superior to existing nomograms. Infectious events particular septic risk, one of most common some cases life threatening complication patients with urolithiasis. We performed a scoping review provide an overview current application AI prediction infectious complications affected by urolithiasis.EVIDENCE ACQUISITION: A systematic literature was accordance Preferred Reporting Items for Systematic Reviews Meta-analyses Scoping (PRISMA-ScR) guidelines screening Medline, PubMed, Embase detect pertinent studies.EVIDENCE SYNTHESIS: total 467 articles were found, which nine met inclusion criteria considered. All studies retrospective published between 2021 2023. Only two external validation described models. The main event considered is urosepsis four articles, urinary tract infection diagnosis stones three articles. Different models trained, each exploited several types numbers variables. reveal good performance. Random forest artificial neural networks seem have higher AUC, specificity sensibility perform better than traditional statistical analysis.CONCLUSIONS: Further prospective multi-institutional needed clarify variables should be integrated our clinical practice predict events.
Language: Английский
Citations
3
BMC Urology, Journal Year: 2025, Volume and Issue: 25(1)
Published: March 29, 2025
To evaluate the diagnostic capabilities of advanced large language models (LLMs) in interpreting cystoscopy images for identification common urological conditions. A retrospective analysis was conducted on 603 obtained from 101 procedures. Two LLMs, both at forefront artificial intelligence technology, were employed to interpret these images. The interpretations generated by LLMs systematically compared against standard clinical assessments. study's primary outcome measure overall accuracy LLMs. Secondary outcomes focused evaluating condition-specific accuracies across various combined 89.2%, with ChatGPT-4 V and Claude 3.5 Sonnet achieving 82.8% 79.8%, respectively. Condition-specific varied considerably, specific disorders: bladder tumors (ChatGPT-4 V: 92.2%, Sonnet: 80.9%), BPH (35.3%, 32.4%), cystitis (94.5%, 98.9%), diverticula (92.3%, 53.8%), trabeculae (55.8%, 59.6%). As normal anatomical structures: ureteral orifice 48.8%, 61.0%), neck (97.9%, 93.8%), prostatic urethra (64.3%,57.1%). Advanced demonstrated varying levels image interpretation, excelling detection while showing lower other conditions, notably benign hyperplasia. These findings suggest promising potential as supportive tools diagnosis, particularly urologists training or early career stages. This study underscores need continued research development optimize AI-driven tools, ultimate goal improving efficiency practice. Not applicable.
Language: Английский
Citations
0