A protein corona sensor array detects breast and prostate cancers

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...

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Vydané v:Nanoscale Ročník 12; číslo 32; s. 16697
Hlavní autori: 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
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: England 20.08.2020
Predmet:
Drug Compounding
Humans
Male
Nanoparticles
Prostatic Neoplasms - diagnosis
Protein Corona
Proteins
ISSN:2040-3372, 2040-3372
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Shrnutí: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.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:2040-3372
2040-3372
DOI:10.1039/d0nr03439h