Login / Signup

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

Nicola Antonio di MeoDavide LoizzoSavio Domenico PandolfoRiccardo AutorinoMatteo FerroCamillio PortaAlessandro StellaCinzia BizzocaLeonardo VincentiFelice CrocettoOctavian Sabin TătaruMonica RutiglianoMichele BattagliaPasquale DitonnoGiuseppe Lucarelli
Published in: International journal of molecular sciences (2022)
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.
Keyphrases
  • data analysis
  • clinical practice
  • small molecule
  • mass spectrometry
  • case control
  • systematic review
  • machine learning
  • high throughput
  • deep learning
  • single cell
  • single molecule
  • loop mediated isothermal amplification