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Introduction: Sociodemographic disparities in genitourinary cancer-related mortality have been insufficiently studied, particularly across multiple cancer types. This study aimed to investigate gender, racial, and geographic disparities in mortality rates for the most common genitourinary cancers in the United States. Methods: Mortality data for prostate, bladder, kidney, and testicular cancers were obtained from the Centers for Disease Control and Prevention (CDC) WONDER database between 1999 and 2020. Age-adjusted mortality rates (AAMRs) were analyzed by year, gender, race, urban-rural status, and geographic region using a significance level of p < 0.05. Results: Overall, AAMRs for prostate, bladder, and kidney cancer declined significantly, while testicular cancer-related mortality remained stable. Bladder and kidney cancer AAMRs were 3-4 times higher in males than females. Prostate cancer mortality was highest in black individuals/African Americans and began increasing after 2015. Bladder cancer mortality decreased significantly in White individuals, Black individuals, African Americans, and Asians/Pacific Islanders but remained stable in American Indian/Alaska Natives. Kidney cancer-related mortality was highest in White individuals but declined significantly in other races. Testicular cancer mortality increased significantly in White individuals but remained stable in Black individuals and African Americans. Genitourinary cancer mortality decreased in metropolitan areas but either increased (bladder and testicular cancer) or remained stable (kidney cancer) in non-metropolitan areas. Prostate and kidney cancer mortality was highest in the Midwest, bladder cancer in the South, and testicular cancer in the West. Discussion: Significant sociodemographic disparities exist in the mortality trends of genitourinary cancers in the United States. These findings highlight the need for targeted interventions and further research to address these disparities and improve outcomes for all populations affected by genitourinary cancers.
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Centers for Disease Control and Prevention, U.S. , Humanos , Masculino , Estados Unidos/epidemiologia , Feminino , Neoplasias Urogenitais/mortalidade , Pessoa de Meia-Idade , Bases de Dados Factuais , Disparidades nos Níveis de Saúde , Mortalidade/tendências , Idoso , Adulto , Neoplasias Renais/mortalidade , Neoplasias Testiculares/mortalidadeRESUMO
Exosomal microRNAs (miRNAs) have great potential in the fight against hepatocellular carcinoma (HCC), the fourth most common cause of cancer-related death worldwide. In this study, we explored the various applications of these small molecules while analyzing their complex roles in tumor development, metastasis, and changes in the tumor microenvironment. We also discussed the complex interactions that exist between exosomal miRNAs and other non-coding RNAs such as circular RNAs, and show how these interactions coordinate important biochemical pathways that propel the development of HCC. The possibility of targeting exosomal miRNAs for therapeutic intervention is paramount, even beyond their mechanistic significance. We also highlighted their growing potential as cutting-edge biomarkers that could lead to tailored treatment plans by enabling early identification, precise prognosis, and real-time treatment response monitoring. This thorough analysis revealed an intricate network of exosomal miRNAs lead to HCC progression. Finally, strategies for purification and isolation of exosomes and advanced biosensing techniques for detection of exosomal miRNAs are also discussed. Overall, this comprehensive review sheds light on the complex web of exosomal miRNAs in HCC, offering valuable insights for future advancements in diagnosis, prognosis, and ultimately, improved outcomes for patients battling this deadly disease.
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Objectives: Gastrointestinal stromal tumors (GISTs) can occur synchronously with other neoplasms, including the genitourinary (GU) system. Machine learning (ML) may be a valuable tool in predicting synchronous GU tumors in GIST patients, and thus improving prognosis. This study aims to evaluate the use of ML algorithms to predict synchronous GU tumors among GIST patients in a specialist research center in Saudi Arabia. Materials and Methods: We analyzed data from all patients with histopathologically confirmed GIST at our facility from 2003 to 2020. Patient files were reviewed for the presence of renal cell carcinoma, adrenal tumors, or other GU cancers. Three supervised ML algorithms were used: logistic regression, XGBoost Regressor, and random forests (RFs). A set of variables, including independent attributes, was entered into the models. Results: A total of 170 patients were included in the study, with 58.8% (n = 100) being male. The median age was 57 (range: 9-91) years. The majority of GISTs were gastric (60%, n = 102) with a spindle cell histology. The most common stage at diagnosis was T2 (27.6%, n = 47) and N0 (20%, n = 34). Six patients (3.5%) had synchronous GU tumors. The RF model achieved the highest accuracy with 97.1%. Conclusion: Our study suggests that the RF model is an effective tool for predicting synchronous GU tumors in GIST patients. Larger multicenter studies, utilizing more powerful algorithms such as deep learning and other artificial intelligence subsets, are necessary to further refine and improve these predictions.
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This study aims to assess the trends of emergency department (ED) visits among kidney transplant recipients in a high-volume transplant centre. Methods: This retrospective cohort study targeted patients who underwent renal transplantation at a high-volume transplant centre from 2016 to 2020. The main outcomes of the study were ED visits within 30 days, 31-90 days, 91-180 days, and 181-365 days of transplantation. Results: This study included 348 patients. The median (interquartile range) age of patients was 45.0 years (30.8, 58.2). Over half of the patients were male (57.2%). There was a total of 743 ED visits during the first year after discharge. 19% (n=66) were considered high-frequency users. High-volume ED users tended to be admitted more frequently as compared to those with low frequencies of ED visits (65.2% vs. 31.2%, respectively, P<0.001). Conclusion: As evident by the large number of ED visits, suitable coordination of management through the ED remains a pivotal component of post-transplant care. Strategies addressing prevention of complications of surgical procedures or medical care and infection control are aspects with potential for enhancement.
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INTRODUCTION AND IMPORTANCE: The rare presentation of duodenal injuries has led to a lack of guidelines for managing and diagnosing such cases. In most duodenal injuries, intramural hematoma and perforation are seen; however, complete resection of the duodenum is rare, which is seen in our case. CASE PRESENTATION: We report a rare case of a 6-year-old boy who suffered from a complete isolated duodenal transection at the pylorus and a 90% transection at D3 and D4 following a seat-belt injury. The surgeon performed a primary anastomosis for the first part of the duodenum with pyloric exclusion. Then, primary repair with controlled fistula for the second transection at D3 and D4 and a gastrojejunostomy were performed. After further management, the patient was discharged with no further complaints. CLINICAL DISCUSSION: Due to the retroperitoneal location of the duodenum, it is challenging to diagnose a duodenal injury. CT scan with contrast is considered the best diagnostic tool in the case of a duodenal injury. Treatment of duodenal injuries depends on the type of injury and the present level of damage. It is imperative to differentiate between a duodenal hematoma, a duodenal perforation, or a duodenal transection as the management for each complication differs. CONCLUSION: No official guidelines have been set in the case of management or diagnosis of duodenal transection. Based on our experience with this patient and similar literature, guidelines for managing and diagnosing duodenal transection should be set, and further studies on the matter are warranted.