Bladder cancer is a biologically heterogeneous disease with variable clinical presentations, outcomes and responses to therapy. Thus, the clinical utility of single biomarkers for the detection and prediction of biological behavior of bladder cancer is limited. We have previously identified and validated a bladder cancer diagnostic signature composed of 10 biomarkers, which has been incorporated into a multiplex immunoassay bladder cancer test, Oncuria™. In this study, we evaluate whether these 10 biomarkers can assist in the prediction of bladder cancer clinical outcomes. Tumor gene expression and patient survival data from bladder cancer cases from The Cancer Genome Atlas (TCGA) were analyzed. Alignment between the mRNA expression of 10 biomarkers and the TCGA 2017 subtype classification was assessed. Kaplan-Meier analysis of multiple gene expression datasets indicated that high expression of the combined 10 biomarkers correlated with a significant reduction in overall survival. The analysis of three independent, publicly available gene expression datasets confirmed that multiplex prognostic models outperformed single biomarkers. In total, 8 of the 10 biomarkers from the Oncuria™ test were significantly associated with either luminal or basal molecular subtypes, and thus, the test has the potential to assist in the prediction of clinical outcome.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9332739 | PMC |
| http://dx.doi.org/10.3390/diagnostics12081801 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Pregnancy Complicated by Rapidly Progressing Vulvar Melanoma: A Case Study.
Am J Case Rep
January 2025
Department of Anatomical Pathology, Jenderal Soedirman University, Purwokerto, Central Java, Indonesia.
BACKGROUND Vulvar melanoma during pregnancy is exceptionally rare. Hormonal and immunological changes in pregnancy have raised concerns about the potential for accelerated melanoma progression and poorer maternal outcomes. This case report describes an unusual presentation of vulvar melanoma in a pregnant patient, which rapidly progressed despite previous treatments, but resulted in a favorable fetal outcome.
View Article and Find Full Text PDFDeep learning-based lymph node metastasis status predicts prognosis from muscle-invasive bladder cancer histopathology.
World J Urol
January 2025
Department of Urology, Renmin Hospital of Wuhan University, 99 Zhang Zhi-dong Road, Wuhan, Hubei, 430060, P.R. China.
Purpose: To develop a deep learning (DL) model based on primary tumor tissue to predict the lymph node metastasis (LNM) status of muscle invasive bladder cancer (MIBC), while validating the prognostic value of the predicted aiN score in MIBC patients.
Methods: A total of 323 patients from The Cancer Genome Atlas (TCGA) were used as the training and internal validation set, with image features extracted using a visual encoder called UNI. We investigated the ability to predict LNM status while assessing the prognostic value of aiN score.
Copper-Catalyzed Domino Annulation of Isoselenocyanates: A Pathway to Structurally Diverse , Se-Bis-Heterocyclic, and Fused Heterocyclic Compounds.
J Org Chem
January 2025
College of Chemistry and Chemical Engineering, Jishou University, Jishou 416000, People's Republic of China.
A copper-catalyzed domino addition/cyclization reaction was developed to synthesize novel benzoselenazole-linked 1,2,3-triazole and tetracyclic fused 12-benzo[4,5]selenazole[2,3-]quinazolin-12-one derivatives from isoselenocyanates. This domino reaction efficiently constructed multiple new chemical bonds in a single step, forming either four (one C-Se and three C-) or three (one C-Se and two C-) bonds. The reaction offers several key advantages, including mild conditions, broad substrate compatibility, and straightforward and safe operation.
View Article and Find Full Text PDFDetection of Human Bladder Epithelial Cancerous Cells with Atomic Force Microscopy and Machine Learning.
Cells
December 2024
Department of Mechanical Engineering, Tufts University, Medford, MA 02155, USA.
The development of noninvasive methods for bladder cancer identification remains a critical clinical need. Recent studies have shown that atomic force microscopy (AFM), combined with pattern recognition machine learning, can detect bladder cancer by analyzing cells extracted from urine. However, these promising findings were limited by a relatively small patient cohort, resulting in modest statistical significance.
View Article and Find Full Text PDFThe Assessment of TikTok as a Source of Quality Health Information on Human Papillomavirus: A Content Analysis.
Cureus
December 2024
Biostatistics and Epidemiology, Rutgers University, Piscataway, USA.
Background Various studies have evaluated the quality of health-related information on TikTok (ByteDance Ltd., Beijing, China), including topics such as COVID-19, diabetes, varicoceles, bladder cancer, colorectal cancer, and others. However, there is a paucity of data on studies that examined TikTok as a source of quality health information on human papillomavirus (HPV).
View Article and Find Full Text PDFWant 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!