Application of FT-IR spectroscopy on breast cancer serum analysis
| Autor: | Maryam Mitra Elmi, Afshin Fayyaz Movaghar, Novin Nikbakhsh, Fatemeh Elmi, Heshmatollah Alinezhad |
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| Rok vydání: | 2016 |
| Předmět: |
medicine.medical_specialty
Diagnostic methods Multivariate analysis Analytical chemistry Early detection Diagnostic accuracy Breast Neoplasms 02 engineering and technology 01 natural sciences Gastroenterology Analytical Chemistry Breast cancer Internal medicine Spectroscopy Fourier Transform Infrared medicine Biomarkers Tumor Humans Spectral data Instrumentation Spectroscopy Chemistry 010401 analytical chemistry Discriminant Analysis 021001 nanoscience & nanotechnology Serum samples medicine.disease Atomic and Molecular Physics and Optics 0104 chemical sciences Case-Control Studies Multivariate Analysis Ft ir spectroscopy Female 0210 nano-technology |
| Zdroj: | Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy. 187 |
| ISSN: | 1873-3557 |
| Popis: | Breast cancer is regarded as the most malignant tumor among women throughout the world. Therefore, early detection and proper diagnostic methods have been known to help save women's lives. Fourier Transform Infrared (FT-IR) spectroscopy, coupled with PCA-LDA analysis, is a new technique to investigate the characteristics of serum in breast cancer. In this study, 43 breast cancer and 43 healthy serum samples were collected, and the FT-IR spectra were recorded for each one. Then, PCA analysis and linear discriminant analysis (LDA) were used to analyze the spectral data. The results showed that there were differences between the spectra of the two groups. Discriminating wavenumbers were associated with several spectral differences over the 950-1200cm-1(sugar), 1190-1350cm-1 (collagen), 1475-1710cm-1 (protein), 1710-1760cm-1 (ester), 2800-3000cm-1 (stretching motions of -CH2 & -CH3), and 3090-3700cm-1 (NH stretching) regions. PCA-LDA performance on serum IR could recognize changes between the control and the breast cancer cases. The diagnostic accuracy, sensitivity, and specificity of PCA-LDA analysis for 3000-3600cm-1 (NH stretching) were found to be 83%, 84%, 74% for the control and 80%, 76%, 72% for the breast cancer cases, respectively. The results showed that the major spectral differences between the two groups were related to the differences in protein conformation in serum samples. It can be concluded that FT-IR spectroscopy, together with multivariate data analysis, is able to discriminate between breast cancer and healthy serum samples. |
| Databáze: | OpenAIRE |
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