A case is presented being of interest because of the simultaneous development of two tumors at different sites of the urinary tract with different histologic structure. The patients, a 56 years old man entered the clinic on July 13, 1988 with painless hematuria. On examination, including intravenous urography, cystoscopy with transurethral echography and computer axial tomography, tumors of the right kidney and of the bladder were identified. The affected kidney was removed and the diagnosis was renal cancer (hypernephroma). A two-step transurethral resection of the bladder was also performed. The histologic diagnosis was moderately differentiated transient-cell carcinoma. The patient is under regular medical observation.
Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Chitosan-Functionalized Fluorescent Calcium Carbonate Nanoparticle Loaded with Methotrexate: Future Theranostics for Triple Negative Breast Cancer.
ACS Biomater Sci Eng
January 2025
Nano 2 Micro Material Design Lab, Department of Chemical Engineering and Technology, IIT (BHU), Varanasi 221005, India.
Herein, fluorescent calcium carbonate nanoclusters encapsulated with methotrexate (Mtx) and surface functionalized with chitosan (25 nm) (@Calmat) have been developed for the imaging and treatment of triple-negative breast cancer (TNBC). These biocompatible, pH-sensitive nanoparticles demonstrate significant potential for targeted therapy and diagnostic applications. The efficacy of nanoparticles (NPs) was evaluated in MDA-MB-231 TNBC cell lines.
View Article and Find Full Text PDFAdenine base editor corrected ADPKD point mutations in hiPSCs and kidney organoids.
Adv Biotechnol (Singap)
June 2024
MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, Guangdong, 510275, China.
Autosomal dominant polycystic kidney disease (ADPKD) is a dominant genetic disorder caused primarily by mutations in the PKD1 gene, resulting in the formation of numerous cysts and eventually kidney failure. However, there are currently no gene therapy studies aimed at correcting PKD1 gene mutations. In this study, we identified two mutation sites associated with ADPKD, c.
View Article and Find Full Text PDFProtein kinase C iota (PKCι) and pVHL are both needed for lysosomal degradation of α5 integrin in renal carcinoma cells.
Mol Biol Rep
January 2025
Department of Biology, Adelphi University, One South Avenue, P.O. Box 701, Garden City, NY, 11530-0701, USA.
Background: von Hippel-Lindau (VHL) hereditary cancer syndrome is caused by mutations in the VHL tumor suppressor gene and is characterized by a predisposition to form various types of tumors, including renal cell carcinomas, hemangioblastomas, and pheochromocytomas. The protein products of the VHL gene, pVHL, are part of an ubiquitin ligase complex that tags hypoxia inducible factor alpha (HIF-α) for proteosomal degradation. pVHL has also been reported to bind to atypical protein kinase C (aPKC).
View Article and Find Full Text PDFTrends in incidence, prevalence, and mortality of non-communicable diseases in Iraq (2003-2021).
BMC Public Health
January 2025
Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Background: Non-communicable diseases (NCDs) have become a major public health concern in Iraq, playing a significant role in the country's morbidity and mortality rates. To offer a thorough overview of the patterns and the overall impact of NCDs on public health, this study aims to map the trends in the incidence, prevalence, and mortality rates of NCDs in Iraq between 2003 and 2021.
Methods: Data from the Global Burden of Disease (GBD) Study 2021 were utilized.
Fully automated segmentation and classification of renal tumors on CT scans via machine learning.
BMC Cancer
January 2025
Department of Urology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, South Korea.
Background: To develop and test the performance of a fully automated system for classifying renal tumor subtypes via deep machine learning for automated segmentation and classification.
Materials And Methods: The model was developed using computed tomography (CT) images of pathologically proven renal tumors collected from a prospective cohort at a medical center between March 2016 and December 2020. A total of 561 renal tumors were included: 233 clear cell renal cell carcinomas (RCCs), 82 papillary RCCs, 74 chromophobe RCCs, and 172 angiomyolipomas.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!