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03.01.2019 | Original Article – Cancer Research

FTIR-based spectrum of salivary exosomes coupled with computational-aided discriminating analysis in the diagnosis of oral cancer

verfasst von: Ayelet Zlotogorski-Hurvitz, Ben Zion Dekel, Dov Malonek, Ran Yahalom, Marilena Vered

Erschienen in: Journal of Cancer Research and Clinical Oncology | Ausgabe 3/2019

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Abstract

Purpose

To determine the Fourier-transform infrared (FTIR) spectra of salivary exosomes from oral cancer (OC) patients and healthy individuals (HI) and to assess its diagnostic potential using computational-aided models.

Methods

Whole saliva samples were collected from 21 OC patients and 13 HI. Exosomes were pelleted using differential centrifugation (12,000g, 120,000g). The mid-infrared (IR) absorbance spectra (900–5000 cm− 1 range) were measured using MIR8025 Oriel Fourier-transform IR equipped with a PIKE MIRacle ZnSe attenuated total reflectance attachment. Machine learning techniques, utilized to build discrimination models for the absorbance data of OC and HI, included the principal component analysis–linear discriminant analysis (PCA–LDA) and support vector machine (SVM) classification. Sensitivity, specificity and the area under the receiver operating characteristic curve were calculated.

Results

IR spectra of OC were consistently different from HI at 1072 cm− 1 (nucleic acids), 2924 cm− 1 and 2854 cm− 1 (membranous lipids), and 1543 cm− 1 (transmembrane proteins). The PCA–LDA discrimination model correctly classified the samples with a sensitivity of 100%, specificity of 89% and accuracy of 95%, and the SVM showed a training accuracy of 100% and a cross-validation accuracy of 89%.

Conclusion

We showed the specific IR spectral signature for OC salivary exosomes, which was accurately differentiated from HI exosomes based on detecting subtle changes in the conformations of proteins, lipids and nucleic acids using optimized artificial neural networks with small data sets. This non-invasive method should be further investigated for diagnosis of oral cancer at its very early stages or in oral lesions with potential for malignant transformation.
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Metadaten
Titel
FTIR-based spectrum of salivary exosomes coupled with computational-aided discriminating analysis in the diagnosis of oral cancer
verfasst von
Ayelet Zlotogorski-Hurvitz
Ben Zion Dekel
Dov Malonek
Ran Yahalom
Marilena Vered
Publikationsdatum
03.01.2019
Verlag
Springer Berlin Heidelberg
Erschienen in
Journal of Cancer Research and Clinical Oncology / Ausgabe 3/2019
Print ISSN: 0171-5216
Elektronische ISSN: 1432-1335
DOI
https://doi.org/10.1007/s00432-018-02827-6

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