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A protein corona sensor array detects breast and prostate cancers.
Digiacomo, Luca; Jafari-Khouzani, Kourosh; Palchetti, Sara; Pozzi, Daniela; Capriotti, Anna Laura; Laganà, Aldo; Zenezini Chiozzi, Riccardo; Caputo, Damiano; Cascone, Chiara; Coppola, Roberto; Flammia, Gerardo; Altomare, Vittorio; Grasso, Antonella; Mahmoudi, Morteza; Caracciolo, Giulio.
Affiliation
  • Digiacomo L; Department of Molecular Medicine, "Sapienza" University of Rome, Viale Regina Elena 291, 00161 Rome, Italy. giulio.caracciolo@uniroma1.it.
  • Jafari-Khouzani K; IBM Watson Health, Cambridge, MA, USA.
  • Palchetti S; Department of Molecular Medicine, "Sapienza" University of Rome, Viale Regina Elena 291, 00161 Rome, Italy. giulio.caracciolo@uniroma1.it.
  • Pozzi D; Department of Molecular Medicine, "Sapienza" University of Rome, Viale Regina Elena 291, 00161 Rome, Italy. giulio.caracciolo@uniroma1.it.
  • Capriotti AL; Department of Chemistry, "Sapienza" University of Rome, P. le Aldo Moro 5, 00185 Rome, Italy.
  • Laganà A; Department of Chemistry, "Sapienza" University of Rome, P. le Aldo Moro 5, 00185 Rome, Italy.
  • Zenezini Chiozzi R; Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, the Netherlands and Netherlands Proteomics Centre, Utrecht, the Netherlands.
  • Caputo D; Department of General Surgery, University Campus-Biomedico di Roma, Via Alvaro del Portillo 200, 00128 Rome, Italy.
  • Cascone C; Department of General Surgery, University Campus-Biomedico di Roma, Via Alvaro del Portillo 200, 00128 Rome, Italy.
  • Coppola R; Department of General Surgery, University Campus-Biomedico di Roma, Via Alvaro del Portillo 200, 00128 Rome, Italy.
  • Flammia G; Department of Urology, University Campus Bio-Medico di Roma, Via Alvaro del Portillo, 200, 00128 Rome, Italy.
  • Altomare V; Breast Unit, University Campus Bio-Medico di Roma, Via Alvaro del Portillo, 200, 00128 Rome, Italy.
  • Grasso A; Breast Unit, University Campus Bio-Medico di Roma, Via Alvaro del Portillo, 200, 00128 Rome, Italy.
  • Mahmoudi M; Precision Health Medicine, Department of Radiology Michigan State University, MI, USA. mahmou22@msu.ed.
  • Caracciolo G; Department of Molecular Medicine, "Sapienza" University of Rome, Viale Regina Elena 291, 00161 Rome, Italy. giulio.caracciolo@uniroma1.it.
Nanoscale ; 12(32): 16697-16704, 2020 Aug 20.
Article in En | MEDLINE | ID: mdl-32776050
ABSTRACT
Following exposure to human plasma (HP), nanoparticles (NPs) are coated with a biomolecular layer referred to as a protein corona. We recently revealed that characterizing the protein coronas of various NPs may provide a unique opportunity for cancer identification and discrimination. In other words, protein corona profiles of several NPs, when being analyzed using classifiers, would provide a unique "fingerprint" for each type of disease. Here, we probed the capacity of the protein corona for the identification and discrimination of breast and prostate cancer patients from healthy individuals. Using three lipid NP formulations with distinct physical-chemical properties as a cross-reactive sensor array and a supervised random forest classifier, we identified a set of proteins that showed a significant difference in cancer patients and control subjects. Our data show that many of the corona proteins with the highest discrimination ability between oncological patients and healthy individuals are related to cellular and molecular aspects of breast and prostate cancers.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Prostatic Neoplasms / Nanoparticles / Protein Corona Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans / Male Language: En Journal: Nanoscale Year: 2020 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Prostatic Neoplasms / Nanoparticles / Protein Corona Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans / Male Language: En Journal: Nanoscale Year: 2020 Document type: Article Affiliation country: