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Metabolomic Approaches for Detection and Identification of Biomarkers and Altered Pathways in Bladder Cancer

by Battaglia, Michele , Rutigliano, Monica , Pandolfo, Savio Domenico , Bizzoca, Cinzia , Stella, Alessandro , Crocetto, Felice , Ferro, Matteo , Loizzo, Davide , Lucarelli, Giuseppe , Tataru, Octavian Sabin , Porta, Camillo , Autorino, Riccardo , di Meo, Nicola Antonio , Vincenti, Leonardo , Ditonno, Pasquale

in Biomarkers / Biomarkers, Tumor - metabolism / Bladder cancer / Cancer research / Chromatography / Classification / Discriminant analysis / Fatty acids / Female / Hematuria / Humans / Hydrocarbons / Male / Mass spectrometry / Medical prognosis / Metabolism / Metabolites / Metabolomics - methods / Mutation / NMR / Nuclear magnetic resonance / Pathogenesis / Pathology / Physiology / Rare Diseases / Review / Scientific imaging / Tumors / Urinary Bladder - metabolism / Urinary Bladder Neoplasms - metabolism / Urine

2022

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Metabolomic Approaches for Detection and Identification of Biomarkers and Altered Pathways in Bladder Cancer

2022

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2022

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Journal Article

Metabolomic Approaches for Detection and Identification of Biomarkers and Altered Pathways in Bladder Cancer

Battaglia, Michele,

Rutigliano, Monica,

Pandolfo, Savio Domenico,

Bizzoca, Cinzia,

Stella, Alessandro,

Crocetto, Felice,

Ferro, Matteo,

Loizzo, Davide,

Lucarelli, Giuseppe,

Tataru, Octavian Sabin,

Porta, Camillo,

Autorino, Riccardo,

di Meo, Nicola Antonio,

Vincenti, Leonardo,

Ditonno, Pasquale

2022

Overview

Metabolomic analysis has proven to be a useful tool in biomarker discovery and the molecular classification of cancers. In order to find new biomarkers, and to better understand its pathological behavior, bladder cancer also has been studied using a metabolomics approach. In this article, we review the literature on metabolomic studies of bladder cancer, focusing on the different available samples (urine, blood, tissue samples) used to perform the studies and their relative findings. Moreover, the multi-omic approach in bladder cancer research has found novel insights into its metabolic behavior, providing excellent start-points for new diagnostic and therapeutic strategies. Metabolomics data analysis can lead to the discovery of a “signature pathway” associated with the progression of bladder cancer; this aspect could be potentially valuable in predictions of clinical outcomes and the introduction of new treatments. However, further studies are needed to give stronger evidence and to make these tools feasible for use in clinical practice.

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Publisher

MDPI AG,MDPI

Subject

Biomarkers

/ Biomarkers, Tumor - metabolism

/ Discriminant analysis