TY - JOUR
T1 - Label-free spectroscopic characterization of exosomes reveals cancer cell differentiation
AU - Romano, S.
AU - Di, Giacinto F.
AU - Primiano, A.
AU - Gervasoni, J.
AU - Mazzini, A.
AU - Papi, Massimiliano
AU - Urbani, Andrea
AU - Serafino, A.
AU - De Spirito, Marco
AU - Krasnowska, E. K.
AU - Ciasca, Gabriele
PY - 2022
Y1 - 2022
N2 - Exosomes (EXOs) are considered an exceptionally promising source of cancer biomarkers for personalized medicine and liquid biopsy. Despite this potential, the EXOs translation process in diagnostics is still at its birth, and the development of reliable and reproducible methods for their characterization is highly demanded. Fourier Transform Infrared (FTIR) Spectroscopy is perfectly suited for this purpose, as it can provide a label-free biochemical profile of EXOs in terms of lipid, protein, and nucleic acid content. Here we evaluated the applicability of FTIR spectroscopy to the study of cancer-derived EXOs as a function of cell differentiation. For this purpose, we used N-acetyl-L-Cysteine (NAC) to induce a controlled differentiation in human colon carcinoma cells from a proliferative mesenchymal morphology to a less invasive epithelial phenotype, as measured with fluorescence and electron microscopy. EXOs derived from cells with different phenotypes showed significant variation in the relative intensity of the amide I-II and CH-stretching bands in the mid-IR range, indicating the spectroscopic lipid/protein ratio as an effective classification parameter. Additionally, we showed that different cell phenotypes are associated with a shape modification in these spectral bands that can be automatically detected by combining Principal Component Analysis (PCA) with Linear Discriminant Analysis (LDA). On the one hand, our study confirms that an FTIR analysis of EXOs allows scientists to precisely detect modifications occurring at the parental cell level; on the other hand, it unveils a set of effective spectral biomarkers able to monitoring cell changes from a mesenchymal to an epithelial phenotype, a clinically valuable piece of information considering that the epithelial-to-mesenchymal transition is a key step in the metastatic process.
AB - Exosomes (EXOs) are considered an exceptionally promising source of cancer biomarkers for personalized medicine and liquid biopsy. Despite this potential, the EXOs translation process in diagnostics is still at its birth, and the development of reliable and reproducible methods for their characterization is highly demanded. Fourier Transform Infrared (FTIR) Spectroscopy is perfectly suited for this purpose, as it can provide a label-free biochemical profile of EXOs in terms of lipid, protein, and nucleic acid content. Here we evaluated the applicability of FTIR spectroscopy to the study of cancer-derived EXOs as a function of cell differentiation. For this purpose, we used N-acetyl-L-Cysteine (NAC) to induce a controlled differentiation in human colon carcinoma cells from a proliferative mesenchymal morphology to a less invasive epithelial phenotype, as measured with fluorescence and electron microscopy. EXOs derived from cells with different phenotypes showed significant variation in the relative intensity of the amide I-II and CH-stretching bands in the mid-IR range, indicating the spectroscopic lipid/protein ratio as an effective classification parameter. Additionally, we showed that different cell phenotypes are associated with a shape modification in these spectral bands that can be automatically detected by combining Principal Component Analysis (PCA) with Linear Discriminant Analysis (LDA). On the one hand, our study confirms that an FTIR analysis of EXOs allows scientists to precisely detect modifications occurring at the parental cell level; on the other hand, it unveils a set of effective spectral biomarkers able to monitoring cell changes from a mesenchymal to an epithelial phenotype, a clinically valuable piece of information considering that the epithelial-to-mesenchymal transition is a key step in the metastatic process.
KW - Automatic spectral classification
KW - Cancer cells
KW - Cell Differentiation
KW - Discriminant Analysis
KW - Exosomes
KW - Extracellular vesicles
KW - Fourier Transform Infrared
KW - Humans
KW - Image analysis
KW - Infrared
KW - Neoplasms
KW - Proteomics
KW - Spectroscopy
KW - Automatic spectral classification
KW - Cancer cells
KW - Cell Differentiation
KW - Discriminant Analysis
KW - Exosomes
KW - Extracellular vesicles
KW - Fourier Transform Infrared
KW - Humans
KW - Image analysis
KW - Infrared
KW - Neoplasms
KW - Proteomics
KW - Spectroscopy
UR - https://publicatt.unicatt.it/handle/10807/209422
UR - https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85121219882&origin=inward
UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85121219882&origin=inward
U2 - 10.1016/j.aca.2021.339359
DO - 10.1016/j.aca.2021.339359
M3 - Article
SN - 0003-2670
VL - 1192
SP - N/A-N/A
JO - Analytica Chimica Acta
JF - Analytica Chimica Acta
IS - N/A
ER -