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Tailoring Chemometric Models on Blood-Derived Cultures Secretome to Assess Personalized Cancer Risk Score.
Coluccio, Maria Laura; Gentile, Francesco; Presta, Ivan; Donato, Giuseppe; Coppedè, Nicola; Valprapuram, Immanuel; Mignogna, Chiara; Lavecchia, Annamaria; Figuccia, Federica; Garo, Virginia M; Fabrizio, Enzo Di; Candeloro, Patrizio; Viglietto, Giuseppe; Malara, Natalia.
Afiliação
  • Coluccio ML; Department of Experimental and Clinical Medicine, University Magna Graecia, 88100 Catanzaro, Italy.
  • Gentile F; Department of Electrical Engineering and Information Technology, University Federico II, 80125 Naples, Italy.
  • Presta I; Department of Health Science, University Magna Graecia, 88100 Catanzaro, Italy.
  • Donato G; Department of Health Science, University Magna Graecia, 88100 Catanzaro, Italy.
  • Coppedè N; Institute of Materials for Electronics and Magnetism, IMEM CNR Parco Area delle Scienze, 43124 Parma, Italy.
  • Valprapuram I; Department of Experimental and Clinical Medicine, University Magna Graecia, 88100 Catanzaro, Italy.
  • Mignogna C; Department of Health Science, University Magna Graecia, 88100 Catanzaro, Italy.
  • Lavecchia A; Hospital Pugliese Ciaccio,88100 Catanzaro, Italy.
  • Figuccia F; Department of Experimental and Clinical Medicine, University Magna Graecia, 88100 Catanzaro, Italy.
  • Garo VM; Department of Experimental and Clinical Medicine, University Magna Graecia, 88100 Catanzaro, Italy.
  • Fabrizio ED; Department of Applied Science and Technology, Polytechnic University of Turin, 10129 Turin, Italy.
  • Candeloro P; Department of Experimental and Clinical Medicine, University Magna Graecia, 88100 Catanzaro, Italy.
  • Viglietto G; Department of Experimental and Clinical Medicine, University Magna Graecia, 88100 Catanzaro, Italy.
  • Malara N; Department of Experimental and Clinical Medicine, University Magna Graecia, 88100 Catanzaro, Italy.
Cancers (Basel) ; 12(6)2020 May 26.
Article em En | MEDLINE | ID: mdl-32466587
ABSTRACT
The molecular protonation profiles obtained by means of an organic electrochemical transistor, which is used for analysis of molecular products released by blood-derived cultures, contain a large amount of information The transistor is based on the conductive polymer PEDOTPSS comprising super hydrophobic SU8 pillars positioned on the substrate to form a non-periodic square lattice to measure the state of protonation on secretomes derived from liquid biopsies. In the extracellular space of cultured cells, the number of glycation products increase, driven both by a glycolysis metabolism and by a compromised function of the glutathione redox system. Glycation products are a consequence of the interaction of the reactive aldehydes and side glycolytic products with other molecules. As a result, the amount of the glycation products reflects the anti-oxidative cellular reserves, counteracting the reactive aldehyde production of which both the secretome protonation profile and cancer risk are related. The protonation profiles can be profitably exploited through the use of mathematical techniques and multivariate statistics. This study provides a novel chemometric approach for molecular analysis of protonation and discusses the possibility of constructing a predictive cancer risk model based on the exploration of data collected by conventional analysis techniques and novel nanotechnological devices.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article