PMID- 33218484 OWN - NLM STAT- MEDLINE DCOM- 20210514 LR - 20210514 IS - 1873-4324 (Electronic) IS - 0003-2670 (Linking) VI - 1140 DP - 2020 Dec 15 TI - Fourier Transform Infrared Spectroscopy as a useful tool for the automated classification of cancer cell-derived exosomes obtained under different culture conditions. PG - 219-227 LID - S0003-2670(20)30970-3 [pii] LID - 10.1016/j.aca.2020.09.037 [doi] AB - Exosomes possess great potential as cancer biomarkers in personalized medicine due to their easy accessibility and capability of representing their parental cells. To boost the translational process of exosomes in diagnostics, the development of novel and effective strategies for their label-free and automated characterization is highly desirable. In this context, Fourier Transform Infrared Spectroscopy (FTIR) has great potential as it provides direct access to specific biomolecular bands that give compositional information on exosomes in terms of their protein, lipid and genetic content. Here, we used FTIR spectroscopy in the mid-Infrared (mid-IR) range to study exosomes released from human colorectal adenocarcinoma HT-29 cancer cells cultured in different media. To this purpose, cells were studied in well-fed condition of growth, with 10% of exosome-depleted FBS (EVd-FBS), and under serum starvation with 0.5% EVd-FBS. Our data show the presence of statistically significant differences in the shape of the Amide I and II bands in the two conditions. Based on these differences, we showed the possibility to automatically classify cancer cell-derived exosomes using Principal Component Analysis combined with Linear Discriminant Analysis (PCA-LDA); we tested the effectiveness of the classifier with a cross-validation approach, obtaining very high accuracy, precision, and recall. Aside from classification purposes, our FTIR data provide hints on the underlying cellular mechanisms responsible for the compositional differences in exosomes, suggesting a possible role of starvation-induced autophagy. CI - Copyright (c) 2020 Elsevier B.V. All rights reserved. FAU - Romano, Sabrina AU - Romano S AD - Dipartimento di Neuroscienze, Sezione di Fisica, Universita Cattolica Del Sacro Cuore, Roma, Italy; Fondazione Policlinico Universitario A. Gemelli IRCCS, Roma, Italy. FAU - Di Giacinto, Flavio AU - Di Giacinto F AD - Dipartimento di Neuroscienze, Sezione di Fisica, Universita Cattolica Del Sacro Cuore, Roma, Italy; Fondazione Policlinico Universitario A. Gemelli IRCCS, Roma, Italy. FAU - Primiano, Aniello AU - Primiano A AD - Fondazione Policlinico Universitario A. Gemelli IRCCS, Roma, Italy; Dipartimento di Scienze Biotecnologiche di Base, Cliniche Intensivologiche e Perioperatorie, Universita Cattolica Del Sacro Cuore, Roma, Italy. FAU - Mazzini, Alberto AU - Mazzini A AD - Dipartimento di Neuroscienze, Sezione di Fisica, Universita Cattolica Del Sacro Cuore, Roma, Italy. FAU - Panzetta, Claudia AU - Panzetta C AD - Dipartimento di Neuroscienze, Sezione di Fisica, Universita Cattolica Del Sacro Cuore, Roma, Italy. FAU - Papi, Massimiliano AU - Papi M AD - Dipartimento di Neuroscienze, Sezione di Fisica, Universita Cattolica Del Sacro Cuore, Roma, Italy; Fondazione Policlinico Universitario A. Gemelli IRCCS, Roma, Italy. FAU - Di Gaspare, Alessandra AU - Di Gaspare A AD - Fondazione Policlinico Universitario A. Gemelli IRCCS, Roma, Italy; NEST, CNR - Istituto Nanoscienze and Scuola Normale Superiore, Piazza San Silvestro 12, 56127, Pisa, Italy. FAU - Ortolani, Michele AU - Ortolani M AD - Dipartimento di Fisica, Sapienza University of Rome, Piazzale Aldo Moro 5, I-00185, Rome, Italy; Istituto Italiano di Tecnologia, Center for Life Nanoscience, Viale Regina Elena 291, I-00161, Rome, Italy. FAU - Gervasoni, Jacopo AU - Gervasoni J AD - Fondazione Policlinico Universitario A. Gemelli IRCCS, Roma, Italy; Dipartimento di Scienze Biotecnologiche di Base, Cliniche Intensivologiche e Perioperatorie, Universita Cattolica Del Sacro Cuore, Roma, Italy. FAU - De Spirito, Marco AU - De Spirito M AD - Dipartimento di Neuroscienze, Sezione di Fisica, Universita Cattolica Del Sacro Cuore, Roma, Italy; Fondazione Policlinico Universitario A. Gemelli IRCCS, Roma, Italy. Electronic address: marco.despirito@unicatt.it. FAU - Nocca, Giuseppina AU - Nocca G AD - Dipartimento di Scienze Biotecnologiche di Base, Cliniche Intensivologiche e Perioperatorie, Universita Cattolica Del Sacro Cuore, Roma, Italy. FAU - Ciasca, Gabriele AU - Ciasca G AD - Dipartimento di Neuroscienze, Sezione di Fisica, Universita Cattolica Del Sacro Cuore, Roma, Italy; Fondazione Policlinico Universitario A. Gemelli IRCCS, Roma, Italy. Electronic address: gabriele.ciasca@unicatt.it. LA - eng PT - Journal Article DEP - 20201009 PL - Netherlands TA - Anal Chim Acta JT - Analytica chimica acta JID - 0370534 SB - IM MH - *Adenocarcinoma MH - Discriminant Analysis MH - *Exosomes MH - Humans MH - Principal Component Analysis MH - Spectroscopy, Fourier Transform Infrared OTO - NOTNLM OT - Cancer cells OT - Exosomes OT - Infrared OT - Liquid biopsy OT - Personalized medicine COIS- Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. EDAT- 2020/11/22 06:00 MHDA- 2021/05/15 06:00 CRDT- 2020/11/21 05:24 PHST- 2020/06/24 00:00 [received] PHST- 2020/09/01 00:00 [revised] PHST- 2020/09/16 00:00 [accepted] PHST- 2020/11/21 05:24 [entrez] PHST- 2020/11/22 06:00 [pubmed] PHST- 2021/05/15 06:00 [medline] AID - S0003-2670(20)30970-3 [pii] AID - 10.1016/j.aca.2020.09.037 [doi] PST - ppublish SO - Anal Chim Acta. 2020 Dec 15;1140:219-227. doi: 10.1016/j.aca.2020.09.037. Epub 2020 Oct 9.