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Englishn this contribution, we investigated whether surface-enhanced Raman scattering (SERS) of serum can be a candidate method for detecting “luminal A” breast cancer (BC) at different stages. We selected three groups of participants aged over 50 years: 20 healthy women, 20 women with early localized small BC, and 20 women affected by BC with lymph node involvement. SERS revealed clear spectral differences between these three groups. A predictive model using principal component analysis (PCA) and linear discriminant analysis (LDA) was developed based on spectral data, and its performance was estimated with cross-validation. PCA-LDA of SERS spectra could distinguish healthy from BC subjects (sensitivity, 92 %; specificity, 85 %), as well as subjects with BC at different stages, with a promising diagnostic performance (sensitivity and specificity, ≥80 %; overall accuracy, 84 %). Our data suggest that SERS spectroscopy of serum, combined with multivariate data analysis, represents a minimally invasive, easy to use, and fast approach to discriminate healthy from BC subjects and even to distinguish BC at different clinical stages.
| Titolo: | SERS analysis of serum for detection of early and locally advanced breast cancer |
| Autori: | BONIFACIO, ALOIS (Corresponding) |
| Data di pubblicazione: | 2015 |
| Stato di pubblicazione: | Pubblicato |
| Rivista: | |
| Abstract: | n this contribution, we investigated whether surface-enhanced Raman scattering (SERS) of serum can be a candidate method for detecting “luminal A” breast cancer (BC) at different stages. We selected three groups of participants aged over 50 years: 20 healthy women, 20 women with early localized small BC, and 20 women affected by BC with lymph node involvement. SERS revealed clear spectral differences between these three groups. A predictive model using principal component analysis (PCA) and linear discriminant analysis (LDA) was developed based on spectral data, and its performance was estimated with cross-validation. PCA-LDA of SERS spectra could distinguish healthy from BC subjects (sensitivity, 92 %; specificity, 85 %), as well as subjects with BC at different stages, with a promising diagnostic performance (sensitivity and specificity, ≥80 %; overall accuracy, 84 %). Our data suggest that SERS spectroscopy of serum, combined with multivariate data analysis, represents a minimally invasive, easy to use, and fast approach to discriminate healthy from BC subjects and even to distinguish BC at different clinical stages. |
| Handle: | http://hdl.handle.net/11368/2870766 |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1007/s00216-015-8923-8 |
| URL: | https://link-springer-com.units.idm.oclc.org/article/10.1007/s00216-015-8923-8 |
| Appare nelle tipologie: | 1.1 Articolo in Rivista |
File in questo prodotto:
| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| Breast_cancer.pdf | final version at doi 10.1007/s00216-015-8923-8 | Bozza finale post-referaggio (post-print) | Copyright Editore | Open Access Visualizza/Apri |
| SERS analysis of serum for detection of early and locally advanced breast cancer.pdf | PDF versione editoriale | Documento in Versione Editoriale | Copyright Editore | Administrator Richiedi una copia |
| 216_2015_8923_MOESM1_ESM.pdf | Electronic supplementary material | Altro materiale allegato | Copyright Editore | Administrator Richiedi una copia |
