Navegando por Autor "Tripet, Brian P."
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Item Metabolomic and elemental profiling of blood serum in bladder cancer.(2022) Ossoliński, Krzysztof; Ruman, Tomasz; Copié, Valérie; Tripet, Brian P.; Nogueira, Leonardo Brandão; Nogueira, Katiane de Oliveira Pinto Coelho; Kołodziej, Artur; Altamer, Aneta Płaza; Ossolinska, Anna; Ossolinski, Tadeusz; Nizioł, JoannaBladder cancer (BC) is one of the most frequently diagnosed types of urinary cancer. Despite advances in treatment methods, no specific biomarkers are currently in use. Targeted and untargeted profiling of metabolites and elements of human blood serum from 100 BC patients and the same number of normal controls (NCs), with external validation, was attempted using three analytical methods, i.e., nuclear magnetic resonance, gold and silver-109 nanoparticle-based laser desorption/ionization mass spectrometry (LDI-MS), and inductively coupled plasma optical emission spectrometry (ICP-OES). All results were subjected to multivariate statistical analysis. Four potential serum biomarkers of BC, namely, isobutyrate, pyroglutamate, choline, and acetate, were quantified with proton nuclear magnetic resonance, which had excellent predictive ability as judged by the area under the curve (AUC) value of 0.999. Two elements, Li and Fe, were also found to distinguish between cancer and control samples, as judged from ICP-OES data and AUC of 0.807 (in validation set). Twenty-five putatively identified compounds, mostly related to glycans and lipids, differentiated BC from NCs, as detected using LDI-MS. Five serum metabolites were found to discriminate between tumor grades and nine metabolites between tumor stages. The results from three different analytical platforms demonstrate that the identified distinct serum metabolites and metal elements have potential to be used for noninvasive detection, staging, and grading of BC.Item Metabolomic and elemental profiling of human tissue in kidney cancer.(2021) Nizioł, Joanna; Copié, Valérie; Tripet, Brian P.; Nogueira, Leonardo Brandão; Nogueira, Katiane de Oliveira Pinto Coelho; Ossoliński, Krzysztof; Arendowski, Adrian; Ruman, TomaszIntroduction Kidney cancer is one of the most frequently diagnosed and the most lethal urinary cancer. Despite advances in treatment, no specifc biomarker is currently in use to guide therapeutic interventions. Objectives Major aim of this work was to perform metabolomic and elemental profling of human kidney cancer and normal tissue and to evaluate cancer biomarkers. Methods Metabolic and elemental profling of tumor and adjacent normal human kidney tissue from 50 patients with kidney cancer was undertaken using three diferent analytical methods. Results Five potential tissue biomarkers of kidney cancer were identifed and quantifed using with high-resolution nuclear magnetic resonance spectroscopy. The contents of selected chemical elements in tissues was analyzed using inductively coupled plasma optical emission spectrometry. Eleven mass spectral features diferentiating between kidney cancer and normal tissues were detected using silver-109 nanoparticle enhanced steel target laser desorption/ionization mass spectrometry. Conclusions Our results, derived from the combination of ICP-OES, LDI MS and 1H NMR methods, suggest that tissue biomarkers identifed herein appeared to have great potential for use in clinical prognosis and/or diagnosis of kidney cancer.