Cancer-associated fibroblasts (CAFs) are significantly involved in determining the patient's prognosis and response to bladder cancer (BLCA) therapy. CAFs can induce epithelial-mesenchymal transformation (EMT) as well as complex interaction with immune cells. Hence, it is imperative to identify potential markers for enhancing our understanding of CAFs in BLCA progression and immune regulation. A variety of algorithms and analyses were employed in the study, leading to the development of a novel prognostic feature for CAFs-Stromal-EMT (CSE)-prognostic feature. This feature was constructed based on the genes MFAP5, PCOLCE2, and JUN. Furthermore, we revealed that patients with higher CSE risk scores responded to immunotherapy better compared to those with lower. Finally, we verified two CSE-related genes using experiments. Our results suggested that the CSE-prognostic feature could predict the prognosis and evaluate the response of patients to immune and chemotherapies. This would aid clinicians in designing treatment strategies for patients with BLCA.
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http://dx.doi.org/10.1016/j.heliyon.2023.e23873 | DOI Listing |
Int Urol Nephrol
December 2024
Medical Oncology Clinic, Ankara Bilkent City Hospital, 06100, Çankaya, Ankara, Turkey.
Purpose: Most bladder cancers are pure urothelial carcinomas, but a small portion, approximately 5-10%, have variant histology or are non-urothelial in nature. This research sought to examine the features of and treatment strategies for different types of urothelial carcinoma with variant histologies and non-urothelial bladder cancer.
Methods: The study cohort comprised individuals with non-urothelial and variant urothelial bladder cancers treated at two medical centres in Ankara, Turkey, between 2005 and 2024.
Eur J Nucl Med Mol Imaging
December 2024
Department of Radiation Oncology, Stanford University, Stanford, CA, USA.
Purpose: Nanoparticles are highly efficient vectors for ferrying contrast agents across cell membranes, enabling ultra-sensitive in vivo tracking of single cells with positron emission tomography (PET). However, this approach must be fully characterized and understood before it can be reliably implemented for routine applications.
Methods: We developed a Langmuir adsorption model that accurately describes the process of labeling mesoporous silica nanoparticles (MSNP) with Ga.
J Xenobiot
December 2024
Infectious and Immune Diseases Division, CHU de Québec-Université Laval Research Center, Quebec, QC G1V 4G2, Canada.
Over the last decades, the human species has seen an increase in the incidence of pathologies linked to the genitourinary tract. Observations in animals have allowed us to link these increases, at least in part, to changes in the environment and, in particular, to an increasing presence of endocrine disruptors. These can be physical agents, such as light or heat; natural products, such as phytoestrogens; or chemicals produced by humans.
View Article and Find Full Text PDFCurr Issues Mol Biol
December 2024
Department of Experimental and Clinical Biomedical Sciences, University of Florence, Viale Gaetano Pieraccini 6, 51039 Florence, Italy.
Circulating tumor cells and cell-free nucleic acids are novel diagnostic, prognostic and predictive tools for non-invasive and cost-effective cancer detection in liquid biopsy. Carbonic anhydrase IX (CAIX) has been proposed as a biomarker in urogenital tumors and urine sediment. Our aim was to evaluate CAIX full-length percentage (CAIX FL%) in urine-cell-free RNA (cfRNA) and its relationship with tumor-cell-associated RNA (TC-RNA).
View Article and Find Full Text PDFCurr Oncol
December 2024
Department of Urology, Penn State Health Milton S. Hershey Medical Center, Hershey, PA 17033, USA.
Our aim was to describe the incidence and mortality of genitourinary (GU) cancers in rural and urban Pennsylvania counties. We calculated age-adjusted incidence and mortality rates of GU (prostate, bladder, and kidney) cancers from 1990 to 2019 in the Pennsylvania Cancer Registry. We defined rurality using the Center for Rural Pennsylvania's population density-based definition.
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