Background: Multiple clinical risk factors and genetic profiles have been demonstrated to predict progression of non-muscle invasive bladder cancer; however, no easily clinical applicable gene signature has been developed to predict disease progression independent of disease stage and grade.
Methods: We measured the intra-patient variation of an 88-gene progression signature using 39 metachronous tumours from 17 patients. For delineation of the optimal quantitative reverse transcriptase PCR panel of markers, we used 115 tumour samples from patients in Denmark, Sweden, UK and Spain.
Results: Analysis of intra-patient variation of the molecular markers showed 71% similar classification results. A final panel of 12 genes was selected, showing significant correlation with outcome. In multivariate Cox regression analysis, we found that the 12-gene signature was an independent prognostic factor (hazard ratio=7.4 (95% confidence interval: 3.4-15.9), P<0.001) when adjusting for stage, grade and treatment. Independent validation of the 12-gene panel and the determined cut-off values is needed and ongoing.
Conclusion: Intra-patient marker variation in metachronous tumours is present. Therefore, to increase test sensitivity, it may be necessary to test several metachronous tumours from a patient's disease course. A PCR-based 12-gene signature significantly predicts disease progression in patients with non-muscle invasive bladder cancer.
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http://dx.doi.org/10.1038/bjc.2012.412 | DOI Listing |
Antibiotics (Basel)
January 2025
Department of Infectious Diseases, Sahlgrenska University Hospital, Region Västra Götaland, Diagnosvägen 21, SE-41650 Gothenburg, Sweden.
Background: Current antibiotic regimens for infective endocarditis (IE) are effective but pose a high risk of delayed hypersensitivity reactions (DHR). Dose adjustments guided by therapeutic drug monitoring (TDM) could mitigate these risks while maintaining treatment efficacy. This study aimed to investigate the plasma concentration of benzylpenicillin and cloxacillin in patients with IE and explore associations between antibiotic concentrations and DHR.
View Article and Find Full Text PDFPLoS One
January 2025
Nuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom.
Epithelial cancers are typically heterogeneous with primary prostate cancer being a typical example of histological and genomic variation. Prior studies of primary prostate cancer tumour genetics revealed extensive inter and intra-patient genomic tumour heterogeneity. Recent advances in machine learning have enabled the inference of ground-truth genomic single-nucleotide and copy number variant status from transcript data.
View Article and Find Full Text PDFAnn Hematol
December 2024
Department of Hematology, Rigshospitalet, Copenhagen, Denmark.
Introduction: Large B-cell lymphoma (LBCL) exhibits striking clinical and molecular heterogeneity. New approaches have emerged to explore tumor heterogeneity and classify LBCL into biological categories. Consequently, the informational requirements from diagnostic samples to provide the necessary information have increased, but the adequacy of single-site biopsies to provide such information is largely unknown.
View Article and Find Full Text PDFAsian J Pharm Sci
December 2024
Department of Pharmaceutics, National Institute of Pharmaceutical Education and Research Kolkata, 168, Maniktala Main Road, Kolkata 700054, West Bengal, India.
Buoyed by the discovery of small-molecule tyrosine kinase inhibitors (smTKIs), significant impact has been made in cancer chemotherapeutics. However, some of these agents still encounter off-target toxicities and suboptimal efficacies due to their inferior biopharmaceutical and/or pharmacokinetic properties. Almost all of these molecules exhibit significant inter- and intra-patient variations in plasma concentration-time profiles.
View Article and Find Full Text PDFDiagnostics (Basel)
November 2024
Department of Diagnostic and Interventional Radiology, University Hospital Augsburg, Stenglinstr. 2, 86156 Augsburg, Germany.
: Virtual non-contrast (VNC) series reconstructed from contrast-enhanced cardiac scans acquired with photon counting detector CT (PCD-CT) systems have the potential to replace true non-contrast (TNC) series. However, a quantitative comparison of the image characteristics of TNC and VNC data is necessary to determine to what extent they are interchangeable. This work quantitatively evaluates the image similarity between VNC and TNC reconstructions by measuring the stability of multi-class radiomics features extracted in intra-patient TNC and VNC reconstructions.
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